Abstract
Background
Cash transfers, payments provided by formal or informal institutions to recipients, are increasingly used in emergencies. While increasing autonomy and being supportive of local economies, cash transfers are a cost-effective method in some settings to cover basic needs and extend benefits of limited humanitarian aid budgets. Yet, the extent to which cash transfers impact health in humanitarian settings remains largely unexplored. This systematic review evaluates the evidence on the effect of cash transfers on health outcomes and health service utilisation in humanitarian contexts.
Methods
Studies eligible for inclusion were peer reviewed (quantitative, qualitative and mixed-methods). Nine databases (PubMed, EMBAS, Medline, CINAHL, Global Health, Scopus, Web of Science Core Collection, SciELO and LiLACS) were searched without language and without a lower bound time restriction through 24 February 2021. The search was updated to include articles published through 8 December 2021. Data were extracted using a piloted extraction tool and quality was assessed using The Joanna Briggs Critical Appraisal Tool. Due to heterogeneity in study designs and outcomes, results were synthesised narratively and no meta-analysis was performed.
Results
30 673 records were identified. After removing duplicates, 17 715 were double screened by abstract and title, and 201 in full text. Twenty-three articles from 16 countries were included reporting on nutrition outcomes, psychosocial and mental health, general/subjective health and well-being, acute illness (eg, diarrhoea, respiratory infection), diabetes control (eg, blood glucose self-monitoring, haemoglobin A1C levels) and gender-based violence. Nineteen studies reported some positive impacts on various health outcomes and use of health services, 11 reported no statistically significant impact on outcomes assessed and 4 reported potential negative impacts on health outcomes.
Discussion
Although there is evidence to suggest a positive relationship between cash transfers and health outcomes in humanitarian settings, high-quality empirical evidence, that is methodologically robust, investigates a range of humanitarian settings and is conducted over longer time periods is needed. This should consider factors influencing programme implementation and the differential impact of cash transfers designed to improve health versus multipurpose cash transfers.
PROSPERO registration number
CRD42021237275.
Keywords: child health, mental health & psychiatry, nutrition, public health, systematic review
Key questions.
What is already known?
Previous studies have demonstrated the benefits of cash transfer interventions in low and middle-income countries on mitigating the health impacts from climate change, improving nutrition and advancing maternal health when markets are functional and quality services are available.
Cash and voucher assistance amount to over US$6 billion in humanitarian aid, with cash transfers accounting for almost three-quarters of this aid.
However, the extent to which cash transfers impact health in humanitarian settings remains largely unexplored.
What are the new findings?
To our knowledge, this is the first mixed-methods systematic review exploring the impact of conditional and unconditional cash transfers specifically on health outcomes and usage of health services in a humanitarian setting.
Health outcomes assessed in studies largely focused on diet and nutrition, mental and psychosocial health and self-reported general well-being.
Nineteen studies reported some positive impacts on various health outcomes and use of health services, eleven reported no statistically significant impact on outcomes assessed and four reported potential negative impacts on health outcomes.
Key questions.
What do the new findings imply?
Although our systematic review suggests that there may be a positive impact of cash transfers on health outcomes in humanitarian settings, high-quality empirical evidence, that is methodologically robust, investigates a range of humanitarian settings, and is conducted over longer time periods is needed.
Specific attention must be given to the intended/expressed purpose of grants, the actors involved in designing and implementing cash transfers, and the factors that affect implementation such as local involvement and context-specific considerations.
Introduction
A record 274 million people are expected to need humanitarian assistance in the year of 2022,1 due to increasing extreme weather events, conflict and pandemics. People affected by humanitarian crises have higher rates of poor health outcomes due to increased vulnerability to violence, infectious diseases, food insecurity and chronic diseases. Collectively this picture calls for impactful, innovative solutions able to address a complex range of health challenges including both communicable and non-communicable disease prevention and treatment, water and sanitation, nutrition, access to sexual and reproductive health services and mental health and psychosocial support.2 3 One possible intervention to improve outcomes across these health challenges is the provision of cash transfers.
Cash and voucher assistance account for 19% of international humanitarian aid, amounting to over US$6 billion in 2020.4 Cash transfers compose 71% of this aid and are an increasingly common method for providing direct assistance to populations in humanitarian settings.1 4 Cash transfers, which are currently being used in COVID-19 pandemic responses across different settings as well as previously being provided during the Ebola epidemics,5 work by providing individuals with cash to access services or goods. In contrast to vouchers and in-kind assistance, cash transfers are by definition unrestricted in usage and provide recipients with physical currency or e-cash to spend. These can be conditional, where there is a prerequisite activity or obligation that the recipient must fulfil in order to receive assistance, or unconditional, where transfers are provided without the recipient having to do anything to receive the assistance.6
Previous studies and systematic reviews have demonstrated the benefits of cash interventions on mitigating the health impacts from climate change, improving nutrition and advancing maternal health if markets are functional and quality services are available.7–9 Likewise cash transfers can improve outcomes by increasing consumption of nutritious foods as well as access to preventative care and vaccinations.10–12 The effect of cash transfers on health systems is also thought to be beneficial by increasing incentives to seek care or lessening financial barriers to access care.10 Additionally, cash transfers are often preferred by recipients and can offer certain benefits over the direct provision of food, goods or services such as cost-effectiveness, rapid and flexible implementation and transparency.13 14 Cash may also empower recipients by providing autonomy to spend money based on personal need and improve economic growth and stability by enabling the purchase of goods and services freely on the local markets.15 16 While cash transfers offer this flexibility, their effectiveness is also influenced by when and how they are provided (eg, delivery approaches).17 How these interventions are designed and implemented influences the impact of the aid; some of these implementation factors include who is targeted as recipients and their value for money, the state of local markets and infrastructure, available resources, community acceptance and risks relating to security in the setting.14 18 19
To date, multiple systematic reviews have explored the impact of cash transfers on human health or well-being.10 14 19–24 The findings of these reviews have been relatively consistent, suggesting the beneficial impact of cash transfers on the health outcomes of individuals and communities. For example, reviews have identified the utility of conditional cash transfer programmes in improving access to preventive services, while also acknowledging the potential influences of other components.10 20 However, it is important to consider the unique contexts and challenges of populations in humanitarian crises over the general population. Humanitarian settings may be characterised by disrupted health systems and supply chains as well as political and economic instability. People living in humanitarian settings are, therefore, more vulnerable to illness, and subject to worse access to health services and care, and health protection, than the average population. These are contextual factors that need to be considered in the delivery of any health intervention that may not necessarily be addressed in a more static, stable community. Only one systematic review22 specifically examined the effect on health outcomes and the utilisation of health services in humanitarian settings. This review, conducted 6 years ago, focuses solely on unconditional cash transfers (UCTs) and only synthesised three low-quality studies focused on drought contexts. Therefore, in this, we assess the impact of conditional and UCTs on health outcomes and utilisation of health services in humanitarian settings to provide evidence informing future cash transfer interventions and humanitarian response.
Methodos
This systematic review protocol was prospectively registered on PROSPERO (CRD42021237275). Findings were reported following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines (online supplemental table 7).7
bmjgh-2021-007902supp001.pdf (314.9KB, pdf)
Definitions
Cash transfers were defined following The Cash Learning Partnership definition as cash payments (physical currency or e-cash) provided by formal and/or (eg, government, non-governmental organisations) informal (eg, hawala—an informal money transfer system largely used in the Middle East and South Asia)25 institutions to recipients that enable them to meet minimum life necessities.6 Unconditional (transfers are provided without the recipient having to do anything to receive the assistance), conditional (there is a prerequisite activity or obligation that the recipient must fulfil in order to receive assistance, eg, attendance of an educational course) and short-duration and ongoing cash transfer interventions were included. Cash transfers are unrestricted, in contrast with (food) vouchers and in-kind assistance.6
The primary outcome(s) were changed in health outcomes, including mortality, morbidity, (mal)nutrition, mental health and well-being and acute or chronic disease status. Secondary outcome(s) were the utilisation of health services, measured by the frequency of visits or percentage of population eligible for a service attending the service.
A humanitarian setting was defined as an event or series of events that present a critical threat to the health, safety, security or well-being of a community or other large group of people, usually over a wide geographic area. Three types of humanitarian crises were specified: man-made crises (eg, civil and inter-state war, armed conflict, genocide), natural disasters including hydrological (eg, floods, avalanches), geophysical (eg, earthquakes, volcanic eruptions, earthquakes), climatological (eg, droughts, wildfires), meteorological (eg, storms, cyclones), biological events (eg, pandemics, epidemics, plagues) and complex emergencies (emergencies resulting from a combination of both natural and man-made causes).26–28
Search methods and information sources
We searched nine electronic databases (PubMed, EMBASE via Ovid, Medline via Ovid, CINAHL via EbscoHost, Global Health via EbscoHost, Scopus, Web of Science Core Collection, SciELO and LiLACS) without restriction of language and without a lower bound time restriction for articles published through 24 February 2021. An updated search was conducted to include articles published during the COVID-19 crisis through 8 December 2021. Using a combination of free-text terms and subject headings, we used vocabulary related to ‘cash transfers’ and ‘humanitarian settings’. The full-search strategy, developed with a librarian/information specialist, is provided in online supplemental table 1. We conducted forward and backward screening of all articles in the full-text screening phase as well as relevant publications (eg, reviews, opinion pieces) to find any additional studies fitting the inclusion criteria. We also searched Google Scholar to find additional publications.
Study selection
Eight researchers were involved in the study selection and extraction. After removing duplicates using Endnote, abstracts and titles were screened independently by two researchers according to the selection criteria by using the software Rayyan (https://rayyan.ai/). Studies satisfying the inclusion criteria were retrieved and screened by full text. Conflicts between two authors screening the same studies were resolved among authors until consensus was reached at both stages. A third arbiter was involved when consensus could not be reached. We included primary peer-reviewed quantitative, qualitative and mixed-method studies that either (1) reported on the effect of cash transfers on health outcomes in humanitarian settings or (2) reported on the effect of cash transfers on healthcare utilisation in humanitarian settings. We excluded studies that were (1) non-human studies, (2) conference proceedings or secondary studies (eg, reviews), (3) lacking a full text. In order to capture rigorous data of peer-reviewed studies and evidence, we did not include grey literature (such as non-governmental organisation (NGO) reports). As our research team is fluent in a range of languages (including Arabic, Dutch, English, Farsi, French, German, Pashto, Persian, Spanish, Urdu), we did not exclude any articles based on language; non-English full texts were translated or reviewed by a native or fluent speaker.
Data extraction and study quality assessment
Data from included studies were independently extracted in duplo using a pretested extraction tool. Any discrepancies between authors extracting the same studies were discussed until consensus was reached. Likewise, a third arbiter was involved when consensus could not be reached. The following information was extracted for each study: author, year, study title, study design, study population, participant demographics (eg, age, country), type of humanitarian setting, sampling and recruitment procedures, total number of participants, outcome (use of health services, health outcomes), outcome(s) ascertainment, type of cash transfer, percentage/number of individuals reporting the outcome, association measures with summary estimate and 95% CI. An open field to record any additional relevant information was available. The quality of individual included studies was assessed using the Joanna Briggs Institute (JBI) critical appraisal tool to explore methodological quality of the synthesised knowledge.8
Statistical and thematic analysis
Due to the heterogeneity of the included studies (in type of cash transfer, outcome and setting), the quantitative data were descriptively synthesised, and no meta-analysis was performed. Studies with qualitative data underwent additional qualitative thematic analysis. Authors independently used inductive analysis to develop and agree on a codebook. This codebook was then applied to all qualitative studies by two independent authors (inter-rater reliability kappa score 0.96).
Patient and public involvement
Due to the nature of this study (systematic review), no patients or public were involved in conceptualising or conducting the study.
Results
Characteristics of included publications
We identified 30 673 records from the databases. After removing duplicates, 17 715 records were screened by title and abstract and 201 were screened in full text (figure 1). In total, 23 articles were included in this review and their summary characteristics are reported in table 1.29–51Table 2 provides summaries of the main results of the included studies. Included studies were conducted in 16 countries: Niger (n=3),31 32 46 Somalia (n=3),33 34 39 Afghanistan (n=2),35 37 Jordan (n=2),41 48 Lebanon (n=2),49 50 Yemen (n=2),45 47 Palestine,29 Democratic Republic of Congo,30 Syria,36 Cameroon,37 Uganda,38 Bangladesh,40 Ecuador,42 Mexico,43 Kenya44 and Togo.51 Eighteen of the studies were quantitative,30–35 38 39 42–51 two studies were qualitative37 41 and three studies were mixed methods.29 36 40 This included several study designs: randomised control trials (n=7),30 38 42 43 45–47 cohort studies (n=5),31 33 34 36 49 quasi-experimental studies (n=6),29 32 40 44 48 50 non-randomised control trials (n=2),35 39 a cross-sectional study51 and qualitative study designs using in-depth interviews (n=5),29 36 37 40 41 focus group discussions (n=4)29 37 40 41 or observations (n=1).29 The number of participants included in studies ranged from 140 individuals41 to approximately 24 000 households.43 Though no time restriction was applied to the search, all studies were published after 2010, with the vast majority published since 2018.32–37 39–41 44 45 47 Studies were conducted as early as 1998–2000 43 and as recently as July 2020 (during the COVID-19 pandemic).51
Figure 1.
Flow diagram of included studies.
Table 1.
Summary characteristics of included studies
Study | Study design | Study period | Country | Type of humanitarian setting | Type of cash transfer (intervention) | Health outcome/services | Population source | N participants |
Abu-Hamad et al. 201429 | Mixed-methods Quantitative: Quasi-experimental Qualitative: In-depth interviews, FGDs, key informant interviews, observations |
April–May 2013 June/July 2013 |
Gaza, Palestine | Man-made crises (human conflict) |
Unconditional cash transfer Monetary value and time-period not given. |
-Psychological health | Children (<18 years) benefiting from the Palestinian National Cash Transfer Programme (PNCTP) and caregivers living in Gaza Key informants (eg, gov officials, NGOs) were also interviewed |
Quantitative: 4497 people Qualitative:
|
Aker et al. 201730 | Randomised control trial | August/September 2011–March 2012 | Democratic Republic of the Congo | Man-made crisis (human conflict) |
Unconditional cash transfer US$130 over 7-month period in three disbursements (September, November, February 2012) |
|
Informal camp in the Masisi territory of DRC, total population ~2500 individuals. | 474 households (237 cash intervention, 237 comparison group receiving vouchers) |
Bliss et al. 201631 | Longitudinal cohort study | April–September 2012 | Niger | Environmental (food crisis) |
Unconditional cash transfer US$296 over 6-month period in monthly disbursements. (160 000 West African Francs) |
|
Children aged 6–36 months in 420 households enrolled in an emergency cash transfer programme in Niger | 420 households (all enrolled in the intervention) |
Bliss et al. 201832 | Quasi-experimental | July–September 2012 | Niger | Environmental (food crisis) |
Conditional cash transfer condition: Mothers to attend a health and nutrition education session prior to each cash transfer ~US$250 over 3-month period in 3 monthly disbursements (125 000 West African Francs) |
|
Households in a conditional emergency CTP programme that occupied the second-lowest wealth category and had a child 6–23 months that was not wasted or had diseases. | 423 households (211 cash intervention, 212 comparison group that did not receive cash) |
Doocy et al. 2020 A33 | Prospective cohort study | November 2018–April 2019 | Somalia | Man-made crises (human conflict) Environmental (drought, food crisis) |
Unconditional cash transfer combined with in-kind food and electronic vouchers. ~US$450 over 4-month period |
|
Pregnant and lactating women in El-bon Camp in the District of Wajid and adjacent neighbourhoods for 'non-assistance' group. | 514 pregnant and lactating women (baseline and endline comparison) |
Doocy et al. 2020 B 34 | Prospective cohort study | November 2018–April 2019 | Somalia | Man-made crises (human conflict) Environmental (drought, food crisis) |
Unconditional cash transfer combined with in-kind food and electronic vouchers. ~US$450 over 4-month period |
|
Households in El-bon Camp in the District of Wajid and adjacent neighbourhoods for 'non-assistance' group with children aged 6–59 months. | 490 households (n=269 mixed transfer group (cash, in-kind, voucher), n=162 food voucher group comparison group, n=59 no assistance comparison group) |
Edmond et al. 201935 | Non-randomised population-based intervention study | December 2016–December 2017 | Afghanistan | Man-made crises (human conflict) |
Conditional cash transfer condition: for mother delivery at a health facility and for CHW when accompanying/referring a mother to the health facility ~US$15 one-time (mother) (1000 Afghani),~US$5 one-time (CHW) (300 Afghani) |
|
Women that had given birth to one or more children in the last 12 months residing in the study districts of the three provinces (Badghis, Bamyan and Kandahar) | 4929 women (2453 intervention with 1199 baseline, 1254 endline) (2476 control receiving standard care with 1242 baseline, 1234 endline) |
Falb et al. 202036 | Mixed methods Quantitative: Prospective cohort study Qualitative: in-depth interviews |
March–August 2018 | Syria | Man-made crises (human conflict) |
Unconditional cash transfer US$228 over a 3-month period in monthly disbursements. |
|
All HH with a woman aged 18–59 years from a beneficiary household in Raqqa Governorate, Syria. | 512 women at baseline, 456 at endline (baseline and endline comparison) |
Freccero et al. 201937 | Qualitative study (focus groups+in-depth interviews) | 2017–2018 | Cameroon, Afghanistan | Man-made crises (human conflict) |
Cameroon: multipurpose cash programme (~US$300 over a 6-month period in monthly disbursements) Afghanistan: one-time amount for non-food items (~US$80–198) (for both: unclear whether conditional or unconditional) |
Self-reported changes in health (not more detail provided on specific health outcomes) |
Participants receiving multipurpose cash transfers through International Red Cross programmes in Cameroon and Afghanistan. | 211 individuals, 100 Afghanistan, 111 Cameroon (all enrolled in intervention) |
Green et al. 201638 | Cluster-randomised trial | April 2009 | Uganda | Man-made crises (human conflict) |
Unconditional cash transfer ~US$150 one-time combined with a programme for business skills training and follow-up support |
Depression using modified version APAI depression subscale | 120 communities (villages, transit sites, and displacement camps in Gulu and Kitgum districts) in Northern Uganda | 1800 individuals (868 intervention receiving cash, 866 comparison group not receiving cash) |
Grijalva-Eternod et al. 201839 | Non-randomised cluster trial | March–November 2016 | Somalia | Man-made crises (IDP camps) |
Unconditional cash transfer ~US$420 over a 5- month period in monthly disbursements |
|
IDP camps located in Weydow area, Deyniile district, Mogadishu. Recipients of cash transfer were female household representatives |
228 households (111 intervention, 117 comparison not receiving cash) with 332 children (155 intervention, 177 comparison not receiving cash) |
Gros et al. 201940 | Mixed-methods Quantitative: quasi-experimental Qualitative: focus groups and in-depth interviews | May 2016–October 2017 | Bangladesh | Environmental (flooding) |
Unconditional cash transfer (forecast-based) ~US$60 one-time (5000 Bangladesh taka) |
|
Poor households in flood-prone communities of the Brahmaputra river basin. | 390 households (174 intervention, 216 comparison not receiving cash) |
Hagen-Zanker et al. 201841 | Qualitative study (focus groups+in-depth semi-structured interviews) | 2016 | Jordan | Man-made crises (refugees) |
Unconditional cash transfer Monetary value and time-period not given. |
Self-reported effect on access to health, stress, and anxiety | Working age Syrian refugees in Jordan and key informants (policy-makers, practitioners at national level) | Over 140 Syrian refugees across 60 interviews and FGDs (37 interviews and 7 FGDs intervention, 10 interviews and 5 FGDs comparison group not receiving cash) |
Hidrobo et al. 201442 | Randomised control trial | May–October 2011 | Ecuador | Man-made crises (IDP camps) |
Unconditional cash transfer US$240 over 6-month period in 6 monthly disbursements |
|
Colombian refugees and Ecuadorian locals in seven urban centres in the provinces of Carchi and Sucumbíos | 2087 households receiving either cash, food or control (unclear N for each group) |
Hou 201043 | Randomised control trial | 1998–2000 | Mexico | Environmental (drought) |
Conditional cash transfer condition: not given Monetary value and time-period not given. |
|
HH across seven states in Guerrero, Hidalgo, Michoacan, Puebla, Queretaro, San Luis Potosi, and Veracruz | 10 541 (6362 intervention, 4179 controls not receiving cash) |
Kurdi 202147 | Cluster randomised control trial | Baseline sample: December 2014–January 2015 Follow-up sample: July–August 2017 |
Yemen | Man-made crisis (Civil war) |
Conditional cash transfer condition: attendance of nutritional training and compliance with monitoring and treatment of malnutrition 2015:~42 US$ per woman per 3 months in 2015 (9000 Yemeni riyal) 2016/2017:~28 US$ per woman in 10–11 monthly disbursements |
|
HH with young children in Yemen. To meet treatment arm criteria women had to be “second priority” potential beneficiaries. | Baseline: 2000 HH (1001 treatment, 999 control HH) Follow-up: 1850 re-surveyed, 95 additional replacement HH |
Lyles et al. 2021 A48 | Quasi-experimental prospective cohort | October 2018–January 2020 | Jordan | Man-made crisis (refugees) |
CHV intervention +conditional cash transfer group condition: quarterly group education sessions and home visits, usage of appropriate services requiring participants to provide receipts ~211 US$ per person per 3 months (150 Jordanian Dinar) Multi-purpose unconditional cash (MPC) transfer group ~113–219 US$ per household per 3 months (80–155 Jordanian Dinar) Time period not given |
|
Syrian refugees with type II diabetes residing outside of camps in Amman and Zarqa governorates of Jordan | Baseline: 560 (156 CHV only, 203, CHV +CCT, 201 MPC) Endline: 482 (128 CHV only, 179 CHV +CCT, 175 MPC) |
Lyles et al. 2021 B49 | Prospective cohort | May 2018–July 2019 | Lebanon | Man-made crisis (refugees) |
Multi-purpose unconditional cash transfer ~173.5 US$ per family per month (260 000 Lebanese pound) Time period not given. |
|
Vulnerable Syrian refugee households sampled from UNHCR registration lists receiving MPCs (intervention) and similarly vulnerable households not receiving MPCs | Baseline: 617 HH (173 MPC intervention, 444 control group) Endline: 168 MPC, 375 control group (follow-up 1 year) |
MacPherson and Sterck 202144 | Quasi-experimental | September–October 2017 | Kenya | Man-made crises (refugee settlement) |
Cash transfer (unclear whether conditional or unconditional) ~US$14–17 per person per month (unclear time period) (1400–1708 Kenyan Shilling) |
|
Refugees in Kakuma camp and Kalobeyei settlement in Kenya | 1874 refugees (1126 households) (914 intervention, 960 control (Kakuma camp)) |
Moussa et al. 202250 | Quasi-experimental (regression discontinuity design) |
Survey (wave 1): February–March 2019 Survey (wave 2): July–August 2019 |
Lebanon | Man-made crises (refugees) |
Multi-purpose unconditional cash transfer (monetary value unclear) Discontinued (12 months) Short run (up to 10 months) Long-term (16–22 months) |
|
Syrian refugee children (<19 years) from discontinued cash recipient households, short-run and long-term recipient households living in Lebanon | 6,207 HH (2992 wave 1, 3215 wave 2) with 24 859 observations (11 843 wave 1, 13 016 wave 2) |
Schwab 202045 | Cluster randomised control trial | November 2011–October 2012 | Yemen | Man-made crises (human conflict) |
Unconditional cash transfer ~US$147 over 3-month period in 3 monthly disbursements (10 500 Yemeni riyals) |
|
135 village clusters in rural Yemen. | 1983 people (982 intervention receiving cash, 1001 comparison receiving in-kind food) |
Sibson et al. 201846 | Cluster randomised control trial | March 2015–November 2015 | Niger | Environmental (food-crisis) |
Unconditional cash transfer
|
|
Children aged 6–59 months, living in villages receiving unconditional cash transfer. | 1130 HH standard intervention 963 HH modified intervention. Sampled 1959 children and obtained baseline measures from 1831 (2093 intervention, 495 control) |
Tossou 202151 | Cross-sectional | July 2020 | Togo | Environmental (COVID-19 pandemic) |
Unconditional cash transfer Monetary value and time period not given. |
Health service and healthcare utilisation | National household survey covering 44 districts in six health regions in Togo: HH heads, consenting adults, children 10–17 years were surveyed | 955 beneficiaries |
ANC, antenatal care; APAI, Acholi Psychosocial Assessment Instrument; CHV, community health volunteer; CHW, community healthcare worker; CTP, cash transfer program.programme; DDS, dietary diversity score; DRC, Democratic Republic of the Congo; FCS, food consumption score; HFIAS, household food insecurity access scale; HH, household; HHS, household hunger scale; IDP, internally displaced people; MAD, minimum acceptable diet; MDDW, minimum dietary diversity for women; MUAC, mid-upper arm circumference; PHQ-9, Patient Health Questionnaire; PNC, postnatal care; PNCTP, Palestinian National Cash Transfer Programme; WG-SS, Washington group disability short set; WHZ, waist-to-hip ratio.
Table 2.
Summary of main results and conclusions
Study | Country | Type of humanitarian setting | Type of cash transfer | Health outcome/services | Main results and/or conclusion |
Abu-Hamad et al. 201429 | Gaza, Palestine | Man-made crises (human conflict) |
Unconditional cash transfer Monetary value and time period not given. |
Psychological health measured by a Self-Esteem Scale containing nine questions, paying for healthcare |
Psychosocial and Mental Health measures through a self-esteem scale
|
Aker 201730 | Democratic Republic of the Congo | Man-made crisis (human conflict) |
Unconditional cash transfer US$130 over 7 month period in three disbursements (September, November, February 2012) |
|
Prevalence of illness and death among household members
Health Expenditure
|
Bliss et al. 201631 | Niger | Environmental (food crisis) |
Unconditional cash transfer US$296 over 6 month period in monthly disbursements. (160 000 West African Francs) |
|
Diet and Nutrition
|
Bliss et al. 201832 | Niger | Environmental (food crisis) |
Conditional cash transfer condition: Mothers to attend a health and nutrition education session prior to each cash transfer ~US$250 over 3 month period in 3 monthly disbursements (July, August, September) (125 000 West African Francs) |
|
Diet and nutrition
|
Doocy et al. 2020 A33 | Somalia | Man-made crises (human conflict) Environmental (drought, food crisis) |
Unconditional cash transfer combined with in-kind food and electronic vouchers. ~US$450 over 4-month period |
|
Diet and nutrition
|
Doocy et al. 2020 B34 | Somalia | Man-made crises (human conflict) Environmental (drought, food crisis) |
Unconditional cash transfer combined with in-kind food and electronic vouchers. ~US$450 over 4-month period |
|
Diet and Nutrition
|
Edmond et al. 201935 | Afghanistan | Man-made crises (human conflict) |
Conditional cash transfer condition: for mother delivery at a health facility and for CHW when accompanying/referring a mother to the health facility ~US$15 one-time (mother) (1000 Afghani),~US$5 one-time (CHW) (300 Afghani) |
|
Health Service Utilisation
|
Falb et al. 202036 | Syria | Man-made crises (human conflict) |
Unconditional cash transfer US$228 over a 3-month period in monthly disbursements. |
|
Diet and Nutrition
Psychosocial and Mental Health
|
Freccero et al. 201937 | Cameroon, Afghanistan | Man-made crises (human conflict) |
Cameroon: multipurpose cash programme (~US$300 over a 6 month period in monthly disbursements) Afghanistan: one-time amount for non-food items (~US$80–198) (for both: unclear whether conditional or unconditional) |
Self-reported changes in health |
General Health and Wellbeing
No additional detail was provided. |
Green et al. 201638 | Uganda | Man-made crises (human conflict) |
Unconditional cash transfer ~US$150 one-time combined with a programme for business skills training and follow-up support. |
Depression using modified version APAI depression subscale |
Psychosocial and Mental Health
|
Grijalva-Eternod et al. 201839 | Somalia | Man-made crises (IDP camps) |
Unconditional cash transfer ~US$420 over a 5 month period in monthly disbursements |
|
Diet and Nutrition Cash based initiatives (CBIs):
|
Gros et al. 201940 | Bangladesh | Environmental (flooding) |
Unconditional cash transfer (forecast-based) ~US$60 one-time (5000 Bangladesh taka) |
|
Diet and Nutrition
Psychosocial and Mental Health
|
Hagen-Zanker et al. 201841 | Jordan | Man-made crises (refugees) |
Unconditional cash transfer Monetary value and time-period not given. |
Self-reported effect on access to health, stress and anxiety |
Psychosocial and Mental Health
Health Expenditure
|
Hidrobo et al. 201442 | Ecuador | Man-made crises (IDP camps) |
Unconditional cash transfer US$240 over 6-month period in 6 monthly disbursements |
|
Diet and Nutrition
|
Hou 201043 | Mexico | Environmental (drought) |
Conditional cash transfer condition: not given Monetary value and time-period not given. |
|
Diet and Nutrition
|
Kurdi 202147 | Yemen | Man-made crisis (Civil war) |
Conditional cash transfer condition: attendance of nutritional training and compliance with monitoring and treatment of malnutrition 2015:~42 US$ per woman per 3 months (9000 Yemeni riyal (YER)) 2016/2017:~28 US$ per woman in 10–11 monthly disbursements |
|
Diet and Nutrition
|
Lyles et al. 2021 A48 | Jordan | Man-made crisis (refugees) |
CHV intervention +conditional cash transfer group condition: quarterly group education sessions and home visits, usage of appropriate services requiring participants to provide receipts ~211 US$ per person per 3 months (150 Jordanian Dinar) Multi-purpose unconditional cash (MPC) transfer group ~113–219 US$ per household per 3 months (80–155 Jordanian Dinar) Time period not given. |
|
Health Service Utilisation (diabetes care)
Diabetes medication adherence and self-monitoring
Clinical measurements
|
Lyles et al. 2021 B49 | Lebanon | Man-made crisis (refugees) |
Multi-purpose unconditional cash transfer ~173.5 US$ per family per month (260 000 Lebanese pound) Time period not given. |
|
Health Service Utilisation (Care-seeking)
Access to medication
|
MacPherson and Sterck 202144 | Kenya | Man-made crises (refugee settlement) |
Cash transfer (unclear whether conditional or unconditional) ~US$14–17 per person per month (unclear time period) (1400–1708 Kenyan Shilling) |
|
Diet and Nutrition
General Health and Wellbeing Some evidence that the cash transfers had a positive effect on subjective well-being,. All coefficients were positive for effect on subjective well-being. In the non-parametric approach, the effect was statistically significant (p<0.01). However, with the parametric approach, coefficients were insignificant. The adjusted R2 of the parametric regression with predetermined variables was 0.01. |
Moussa et al. 202250 | Lebanon | Man-made crises (refugees) |
Multi-purpose unconditional cash transfer (monetary value unclear) Discontinued (12 months) Short run (up to 10 months) Long-term (16–22 months) |
|
Affected by Acute Illnesses
Health Service Utilisation
Sustainability of outcomes
|
Schwab 202045 | Yemen | Man-made crises (human conflict) |
Unconditional cash transfer ~US$147 over 3-month period in 3 monthly disbursements (10 500 Yemeni riyals) |
|
Diet and Nutrition
|
Sibson et al. 201846 | Niger | Environmental (food crisis) |
Unconditional cash transfer
|
|
Diet and Nutrition
|
Tossou et al. 202151 | Togo | Environmental (COVID-19 pandemic) |
Unconditional cash transfer Monetary value and time period not given. |
|
Health Service Utilisation
|
ANC, antenatal care; APAI, Acholi Psychosocial Assessment Instrument; CHV, community health volunteer; CHW, community healthcare worker; CTP, cash transfer programme; DDS, dietary diversity score; DRC, Democratic Republic of the Cong; FCS, food consumption score; HFIAS, household food insecurity access scale; HH, household; HHS, household hunger scale; IDP, internally displaced people; MAD, minimum acceptable diet; MDDW, minimum dietary diversity for women; MUAC, mid-upper arm circumference; PHQ-9, patient health questionnaire; PNC, postnatal care; PNCTP, Palestinian National Cash Transfer Programme; WG-SS, Washington group disability short set; WHZ, waist-to-hip ratio.
Cash transfers were implemented by governments (n=4)29 35 43 51 and humanitarian agencies/NGOs (n=19)30–34 36–42 44–50 such as the World Food Programme, United Nations Children’s Fund (UNICEF), UN High Commissioner for Refugees (UNHCR), and the International Rescue Committee (IRC). However, studies did not include sufficient detail describing the logistics/involvement regarding which actors served as programme implementers versus delivering cash. While only five studies reported specifically on health service utilisation,35 48–51 a range of health outcomes were investigated across the studies: nutrition-related outcomes (n=13),30–34 36 39 42–47 psychosocial and mental health (n=6),29 31 36 38 40 41 general/subjective self-reported health and well-being (n=3),30 37 acute illnesses (eg, diarrhoea, respiratory infection),50 diabetes control (eg, medication adherence, blood glucose self-monitoring, haemoglobin A1C (HbA1C) levels, Body Mass Index (BMI), blood pressure)48 or gender-based violence.36 Although not part of our inclusion criteria or our main outcome of interest, included studies also reported on expenditure on medicine/paying for healthcare (n=4)29 30 40 49 and self-reported access to health or medication (n=2).41 49 Analysis of qualitative data highlighted additional insight relating to mental health, access to health and the challenges relating to cash transfers (table 3).
Table 3.
Qualitative data analysis
Abu-Hamad et al. 201429 | Falb et al. 202036 | Freccero et al. 201937 | Gros et al. 201940 | Hagen-Zanker et al. 201841 | |
Country | Palestine | Syria | Afghanistan; Cameroon | Bangladesh | Jordan |
Humanitarian setting | Man-made crises | Man-made crises | Man-made crises | Environmental | Man-made crises |
Mental health | |||||
Financial security | x | x | x | x | |
Personal security and autonomy | x | ||||
Mental well-being | x | x | |||
Access to Health | |||||
Cost of healthcare | x | x | |||
Logistics and physical accessibility | x | x | |||
Challenges of cash transfers | |||||
Financial dependence and insecurity | x | x | |||
Exploitation and harm | x | ||||
Logistic challenges | x | ||||
Social stigma | x | x | |||
Sexual health | x |
Quality assessment of individual studies
Though no article was excluded from the review synthesis based on quality, the results of the individual study quality appraisals are available in online supplemental table 3-6. Most studies demonstrated reasonable methodological quality, with quasiexperimental studies,29 32 40 44 48 50 indicating the highest quality assessment within the JBI checklist components for quasi-experimental studies. It was unclear whether strategies to address incomplete follow-up were utilised for any of the cohort studies,31 33 34 36 49 and confounders were either not clearly stated or were not included. The latter was similarly observed for the only cross-sectional study included.51 Two of the control trials35 39 were not randomised and, due to the nature of the intervention (receiving cash vs another type of assistance/no assistance), participants could not be blinded in the control trials.30 35 38 39 42 43 45–47 Furthermore, less than half of the qualitative studies located the researchers culturally and theoretically,36 37 and, therefore, did not address the role and influence of the researchers on their findings. It was also unclear for several qualitative studies whether obtained ethical approval.40 41
Humanitarian setting characteristics
The included settings ranged across different types of humanitarian crises. Broadly, they can be divided into man-made disasters (n=17)29 30 33–39 41 42 44 45 47–50 and natural disasters (n=8).31–34 40 43 46 51 More specifically, these settings included (ongoing) conflict or civil war (n=10),29 30 33–38 45 47 refugee settings and internal displacement camps (n=7),39 41 42 44 48–50 drought (n=3),33 34 43 food crises (n=5),31–34 46 flooding (n=1),40 and the COVID-19 pandemic (n=1).51 Two studies reported on a combination of human conflict and drought in Somalia.33 34 The internal displacement camps were in Somalia39 and Ecuador,42 while refugee settlements based in Kenya hosted refugees escaping civil conflicts in Southern Sudan and Somalia.44 Both Jordan and Lebanon supported Syrian refugees escaping civil conflicts.41 48–50
Cash transfer characteristics
The majority of the cash transfer programmes examined was unconditional (n=17).29–31 33 34 36 38–42 45 46 48–51 Although five studies included CCTs, one did not explicitly state the conditions to be met.37 43 44 47 48 The four other CCTs had different conditions: (1) for women to deliver their baby at a health facility,35 (2) attendance of sessions on child and infant feeding/care practises for mothers,32 (3) attendance of nutritional training sessions and compliance with child monitoring and treatment for malnutrition47 or (4) quarterly group education sessions on diabetes control, community health worker (CHW) home visits and the provision of receipts to prove use of appropriate services.48 For two studies, it was unclear whether the cash transfers were conditional or unconditional. Cash was usually provided in the short-term over several months (n=12)30–34 36 37 39 42 45 46 50 and ranged in amount; for example, US$96 total over 4 months,46 US$130 over 7 months,30 US$420 over 5 months,39 US$296 over 6 months.31 Fewer interventions utilised one-time cash transfers (n=3)35 37 40 or cash transfers that were provided for more than 12 months (n=2).47 50 The monetary value (n=5)29 41 43 50 51 and duration of cash transfer programmes (n=7)29 41 43 44 48 49 51 were not clearly provided in some studies. While all included cash transfers were used in humanitarian contexts, they varied in purpose: reducing (intergenerational) poverty and economic hardship (n=4)29 38 43 50; increasing households’ access to basic food and non-food needs (n=6)30 37 41 44 48 49; improving food security or preventing (child) acute malnutrition (including reducing child wasting or promote child weight gain) (n=9)30–34 42 45–47; preventing sale or loss of household assets (n=2),31 40 improvement of the use of maternal and child services (n=1)35; improving the ability to take preparatory early action ahead of a natural disaster (n=1)40; reducing the shocks caused by the COVID-19 pandemic51 and prevent negative impacts on health and livelihood (n=1).40 In two studies, the purpose of the cash transfer programme was not clearly defined.36 39
General health and well-being
Only two studies reported on general health and well-being. Internally displaced persons in Cameroon (US$75–US$100 monthly over 5 months, US$43–US$84 monthly over 6 months) and Afghanistan (one-time US$80–US$198 over 2 months) reported general improvements in health, nutrition and housing after receiving multipurpose cash (MPC) transfers through an International Red Cross programme.37 Similarly, evidence from the Kalobeyei settlement in Kenya indicates that cash transfers (US$14 per person per month) positively impacted nutrition, subjective well-being and independence from aid.44 One study on UCTs (US$130 over 7 months) in the Democratic Republic of Congo presented contrasting evidence and suggested that prevalence of illness and deaths was similar between cash and voucher group.30
Diet and nutrition-related outcomes
The most commonly investigated health outcomes were related to diets and nutrition.31–34 36 39 42–47 This was assessed in studies using a range of different metrics: the household hunger scale,33 dietary diversity (including, eg, minimum dietary diversity for women,33 34 39 42 44 household dietary diversity score (HDDS) and children’s dietary diversity),31 32 43 45–47 mid-upper arm circumference (MUAC),31–34 39 46 weight for height Z-score (WHZ),31 32 39 46 height for age Z-score,47 food consumption score (FCS),39 42 44 45 caloric intake,42–45 minimum acceptable diet,34 meal frequency,31 33 34 weight gain,32 weight gain velocity32 and the household food insecurity access scale.36 44 Six studies characterised the incidence and prevalence of acute malnutrition as measured by a WHZ < −2, an MUAC <125 mm or the presence of bilateral pitting oedema.31–34 39 46 The impact of cash transfers on nutrition varied. Different outcomes were reported based on the comparison group (eg, in-kind, voucher, no assistance), setting and programme. Studies presented both positive and null effects, rather than a consistently positive or negative effect as further described in the upcoming section.
Assessment of the impact of emergency CCTs (US$250 over 3 months) on the nutritional status of children in Niger found that the intervention was associated with a 1.27 kg overall weight gain (p value <0.001) and 1.82 greater increase in WHZ (p value <0.001) compared with the concurrent control group that did not receive the cash transfer. Furthermore, the odds of having acute malnutrition were 25 times higher for the comparison group.32 Previous evidence in the same setting indicated that among households targeted by emergency UCTs (US$296 over 6 months), diet-related factors and food expenditure for children were not associated with reduced risk of acute malnutrition.31 Likewise, evidence suggested that short-term emergency UCTs (monthly transfer of US$76 for 3 months) yielded significant improvements in food security in the Raqqa Governorate.36 In contrast, another monthly UCT (US$84 for 5 months) combined with a once-only distribution of a non-food-items kit and provision of piped water in Somalia found conflicting results when assessing its impact on acute malnutrition among children 6–59 months. Adjusted for age and sex, the intervention did not appear to reduce risk of acute malnutrition (HR 0.94, 95% CI 0.51 to 174) but did seem to increase the child dietary diversity score by 0.53 (95% CI 0.01 to 1.05).39 In Yemen, increases in dietary diversity (for both children and adults) were observed in the intervention group receiving CCT compared with the control group.47
Several studies compared the provision of cash transfers with other aid modalities. Two studies in Somalia assessed the impact of different emergency assistance modalities on acute malnutrition including in-kind food provision, food vouchers and UCTs (US$450 over 4 months).33 34Adjusted change in mean MUAC increased 0.1 cm (95% CI −0.1 to 0.4) in the mixed transfer (food, vouchers and unrestricted cash) recipients and 0.5 cm (95% CI 0.0 to 0.7) in the food voucher recipients. Adjusted prevalence of acute malnutrition in children under 5 decreased by 4.8% (95% CI −9.9 to 8.1) in mixed transfer recipients and increased by 0.7% (95% CI −13.4 to 14.4) compared with food voucher recipients. When comparing food voucher recipients with mixed transfer recipients, the change over time in both mean MUAC and prevalence of acute malnutrition was similar.34 Likewise, a UCT programme targeting pregnant and lactating women found no significant difference in preventing acute malnutrition compared with a control group with no cash-related intervention.33 When 6 monthly cash transfers (US$40 per month) were compared with food vouchers and food transfers in Northern Ecuador, all three arms significantly improved the quality and quantity of consumed food (measured by HDDS, Dietary Diversity Index (DDI), FCS, caloric intake, per capita food consumption). However, while the cash modality resulted in the most satisfaction among recipients (and food vouchers in the least), the increase in calories and dietary diversity were most cost-effectively accomplished by equal-valued food vouchers.42 In contrast, cash transfers in the Kalobeyei settlement were cheaper and more cost-effective than in-kind food assistance and were associated with better nutrition outcomes for refugees.44 Furthermore, a study in Yemen, a country with a study population similar to Niger with poor, rural households facing food insecurity, indicated that unconditional cash recipients (US$147 over 3 months) had more dietary diversity though they consumed 150 less calories a day per person than food recipients. Finally, when comparing a modified UCT (US$24 over 6 months) plus supplementary feeding with a standard UCT (US$36 over 4 months), the prevalence of acute malnutrition did not reduce (adjusted ORs (0.93 (95% CI (0.58 to 1.49), p=0.759) and 1.09 (95% CI (0.77, 1.55)), p=0.630) respectively), nor was the impact on food insecurity significantly different.45
Diabetes control
One quasiexperimental study explored the impact of cash on diabetes control. The combined health education and CCT intervention programme (condition: quarterly group education sessions, home visits and provision of receipts for appropriate health services) was shown to be effective in improving diabetes control (demonstrated by lower HbA1C and improved diabetes medication adherence), blood pressure control and reductions in BMI among Syrian refugees with Type II diabetes. Notably, the education intervention alone was effective in improving diabetes control, while an unconditional MPC transfer alone was less effective.48
Psychosocial and mental health
The second most commonly examined health outcome related to psychosocial and mental health. These findings were often self-reported or measured by validated tools/questionnaires (eg, the patient health questionnaire). While psychosocial and mental health were not always the intended targets of cash transfer programmes, multiple studies reported on these effects.
A study in Raqqa Governorate, grappling with a dual crisis from the Islamic State of Iraq and Syrian occupation and civil conflict, found that an UCT (US$228 over 3 months) implemented by the IRC resulted in no change in perceived serious household needs and daily stressors (β=0.12; 95% CI −0.24 to 0.48) and an increase in depressive symptoms (β=0.89; 95% CI 0.34 to 1.43) before and after cash distribution.36 Additionally, a study in Northern Uganda that combined cash transfers with business skills training indicated that there was no significant alleviation in depression.38 Poor communication about logistics and timing of cash transfers ending, caused stress and anxiety among participants and their relationships.36 37
Despite this, several studies reported positive impacts of cash transfers on mental health (n=4), despite this not being the intent of the cash transfer. Several women in the Raqqa Governorate reported in qualitative interviews that their levels of stress, as well as feelings of humiliation and shame, were reduced in the period of cash assistance delivery. ‘The cash we received maintained our dignity and met our needs. I don’t live like a queen because of the aid, but it is good’, mentioned a divorced woman living with her in-laws.36 Similarly, a study in Bangladesh indicated that forecast-based UCTs (US$60 one-time) reduced psychosocial stress during and after the flood when compared with a group that did not receive cash.40 An UNHCR UCT programme in Jordan for Syrian refugees reduced stress and anxiety among beneficiaries. One third of the respondents in the study indicated their mental well-being had improved and that stress related to inability to pay their rent was alleviated. One of the male beneficiaries reported that, ‘receiving the UNHCR cash transfer changed our life on all moral and financial aspects, I no longer worry about rent and it eased pressure on the entire family’.41 This was consistent with earlier findings from the Palestinian National Cash Transfer Programme on Gazan children.29
Acute childhood illnesses
A singular study explored the impact of cash on acute illnesses, comparing discontinued recipient households, short-term recipient households, long-term recipient households and non-beneficiary households of MPC transfers. In children under five, short-term and long-term participants suffered less acute illnesses than non-recipients. This finding was further confirmed with lower incidence of specific acute diseases such as diarrhoea and respiratory infections in recipient children versus non-recipient children.50
Health service utilisation, access to health and health expenditure
The five studies on health service utilisation in this review focused on overall healthcare utilisation,51 maternal and newborn care,35 needed and accessed primary healthcare (PHC),50 diabetes service utilisation,48 care-seeking behaviour for children and chronic or acute illness among adults.49 While almost all positive, there were mixed results relating to what degree CCTs improved healthcare utilisation.
Two studies reported on how CCTs affected maternal and child healthcare utilisation. Mothers who received US$15 if they delivered a child at a health facility in Afghanistan reported an increase in both maternal and newborn service usage and CHW home visits. However, only the increase in antenatal care (ANC) visits was statistically significant (adjusted mean difference 45% (95% CI 0.18 to 0.72), p value 0.004). In contrast, the mean difference in postnatal care (PNC) visits, CHW home visits and facility deliverywere not statistically significant.35 Furthermore, MPC recipients (~173.5 US$ per family per month in Lebanon) reported a 19.3% (CI: 7.3,31.20%; p = 0.002) greater increase in care-seeking behaviour for childhood illnesses compared with controls, and a significantly smaller increase in child hospitalisations among MPC recipients than controls (DiD −6.1%; p = 0.037).49 Likewise, a lower likelihood for needing PHC and a higher likelihood of seeking PHC when needed was observed among children under 5 years old from MPC recipient families.50
A study conducted in a population of Syrian refugees compared the effects of CCTs alone, health education alone and CCTs plus health education on healthcare utilisation for diabetes.48 The study found that the CCT plus health education group had the most significant increases in monthly medication spending (13.6%, p < 0.001) and outpatient diabetes visits (25.3%, p< 0.001). Additionally, the health education only group experienced a decreased overall spending on diabetes care (− 18.7%, p= 0.001).48 This study overall concluded that CCTs were most effective when combined with the health education intervention.
A study on survey data in Togo showed that a government CCT programme, the NOVISSI scheme, improved healthcare utilisation during the economic hardship from COVID-19.51 When recipients of the Togo CCT were matched based on demographics to non-recipients, they were 66% more likely to access healthcare and less likely to use traditional medicine.51 While no other studies in this review reported on health service utilisation, some had secondary findings that suggested various effects. A study evaluating UNHCR UCTs in Jordan indicated that the transfers enabled some beneficiaries to partially cover the costs of treatment. While this may alleviate some of the costs of accessing healthcare, it was not decisive in accessing healthcare.52 This same issue was reported by a respondent in Palestine who stated ‘We still don’t have money for medicines, so we use the cash to pay off debts at the pharmacy’.29 This was further reflected in Bangladesh where, even though forecast-based UCTs were used the second most frequently on health expenses following food, it did not result in significant differences in the experience of illness compared with the comparison group (intervention 17.8% of 152; comparison 20.1% of 149, p value 0.60).40
Enabling and constraining factors to cash transfer implementation
Only a few studies reported on enabling or constraining factors around cash transfer implementation. Enabling factors mentioned were lower costs for implementing agencies compared with other modalities (eg, vouchers),30 33 34 giving households the freedom of choice,30 enabling policy environments41 and beneficiaries’ preference for cash.34 Yet, several factors may constrain successful implementation including: weak health service infrastructure,31 reduced onsite access,35 dysfunctional markets or limited market choices,39 beneficiary decision-making (especially of caregivers),31 barriers to accessing cash programming by specific groups because of, for example, their gender or age,37 struggle to access cash due to travel limitations46 or a lack of concrete risk assessment tools that prevent meaningful consultation with community members into the programme design.37 Additionally, logistical challenges such as physical and institutional barriers to access, methods of disbursement and corruption or bribery were mentioned.37
Discussion
This review presents evidence on the impact of cash on health in humanitarian settings. Most studies were on UCTs in human conflict or food crisis settings discussing their impact on nutrition, psychosocial and mental health or general health and well-being. While the purpose of several programmes was specifically aimed at improving food security and preventing malnutrition, few were specifically designed with as purpose to address other health outcomes.30–34 36 39 42–47 Only five studies reported on the utilisation of health services.35 48–51 Nineteen studies reported some positive impacts on various health outcomes and use of health services,29 31 33–38 40–45 47–51 11 reported no statistically significant impact on outcomes assessed30 35 36 38–40 44 46–49 and 4 reported potential negative impacts on health outcomes.36 37 42 45 While the majority of studies described nutrition and diet-related outcomes, the impact cash transfers had on these health outcomes varied. Although, most studies reported decreased frequency of acute malnutrition or related metrics (eg, dietary diversity) in cash groups compared with in-kind food, food voucher and/or no assistance, two studies found that cash beneficiaries consumed less calories than in-kind food beneficiaries.42 45 Furthermore, while most studies reported positive impacts on psychosocial and mental health, often related to alleviating the stress of financial burdens, two studies reported social exclusion of recipients and verbal abuse from non-beneficieries.36 37
Our findings are broadly in line with evidence from research on cash transfers’ impact on health outside of humanitarian settings. For example, a 2010 Cochrane review on CCTs in low and middle-income countries (LMICs) reported that despite methodological weaknesses, the evidence suggests that cash transfers may contribute to health benefits.10 Likewise, systematic reviews published 3 and 5 years later, respectively, on maternal, child and newborn health and CCTs suggested that cash transfers are effective in addressing child health determinants (eg, access to healthcare, morbidity risk),24 and that CCTs improved ANC visits, delivery at a health facility, skilled attendance at birth, reduction of low birth weight incidence and increased tetanus toxoid vaccination of mothers.24 When exploring the wider (grey) literature from a humanitarian perspective, a Humanitarian Policy Group 2012 report indicated that there is some evidence backing up the use of cash transfers to improve nutritional status in emergency settings if markets are functioning and quality food is available.53 Finally, a 2015 Cochrane review on cash transfers in humanitarian disasters in LMICs concluded that studies either reported improved outcomes or no statistically significant evidence of UCTs impacting health outcomes. However, they considered the body of evidence to be of very low quality with great uncertainty across all outcomes.22 The findings of this review are compatible with these previous reviews: there is evidence to suggest a positive relationship between cash transfers and health outcomes; however, there is a need for stronger additional high-quality evidence that can also be synthesised through a meta-analysis to determine the extent of this impact. Additionally, there may be unintended consequences from cash transfers that should be further explored.
The included studies were heterogeneous in their approaches to examine the effect of cash. Some studies investigated the impact of cash compared with food vouchers or in-kind food, while others used a comparison group that did not receive any assistance, tested the value/distribution method of cash transfers or performed pre–post implementation comparisons. Testing the implementation of cash transfers in one group against a group with no aid assistance also posed ethical challenges. Consequently, it is difficult to ascribe the extent or magnitude of the effect due to cash transfers versus other mechanisms. Studies comparing cash to vouchers, for example, often reported there was not a statistically significant difference in their impact. However, there is often a preference for cash transfers over other aid forms.13 14 With this in mind, policymakers and programme designers should consider the risks and benefits of these different approaches before implementing these interventions.
Included were limited in the time frames; studies were conducted over a few months (2 months) to a few years (18–24 months). Additionally, the length of cash transfers varied, from one-time disbursements to monthly allotments over a 7-month period. Going forward, it will be important to measure outcomes on a larger scale over a longer period of time, to fully understand whether cash can offer sustainable, long-lasting positive health impacts. Future research and aid provision could also consider the length of time covered by the cash transfers themselves and the effect of distributing the same monetary value over shorter versus longer time periods. The health outcomes examined across the studies were also fairly limited in scope, with only one study exploring the impact of cash on acute illnesses. This could be due to the requirement of laboratory-intensive or invasive measurements for some health outcomes in order to ascertain disease/health. Yet, cash transfers may also positively contribute to a range of other communicable (eg, COVID-19, Ebola) and non-communicable diseases. Several cash transfer programmes have been brought in place in the response to COVID-19 over 2020–2021 globally. This includes the expansion of the two largest existing cash transfer programmes in Colombia (Families in Action and Youth in Action) by lowering eligibility thresholds and including education and mental and psychosocial health targets.54 55 However, while several studies on cash transfers during COVID-19 were retrieved in our search strategy, the majority did not focus on the cash transfers’ impact on human health but rather on mitigating the economic impacts of the pandemic.56–59
Interestingly, the vast majority of cash transfers included were not specifically designed to cover health expenses. This has two important implications. First, there could be potential bias induced when cash is distributed for a specific purpose and communicated as such—resulting in recipients aiming to conform to what they were told the cash should be spent on (eg, food). Second, if the cash transfer value has not been designated to cover health expenses, households may likely trade-off and prioritise different expenses including health. As cash transfers become increasingly common, it will be important for implementers to collect, analyse and share the data on the effectiveness of their interventions in order to inform future programmes and evidence-based. Documenting best practices and considerations on safe and ethical implementation are important considerations. Therefore, it may be useful for future studies to adapt a similar framework or investigate a consistent group of core metrics in order to assuage some of the heterogeneity of this literature base. Additionally, future research and documentation of evidence could consider the roles of the different actors involved in the conceptualisation, development and delivery of cash transfers. It is important to consider how different implementers may have different motives and do not necessarily obey the same humanitarian principles, which can expose beneficiaries to different risks.60
The type of data collected and reported is also an important consideration; qualitative data may provide further detail and insight into the experiences and perspectives of recipients and implementers. The qualitative data synthesised here highlighted some of the possible unintended consequences or impacts such as social exclusion, community tension and verbal abuse.36 37 Humanitarian settings pose additional challenges that must be considered, in terms of collecting data and adapting the intervention in real time where appropriate.61 Innovative social science and anthropology methodologies in implementation research that emphasise the influence of context, and unique experiences of different populations and settings may prove useful in investigations of cash transfers in humanitarian settings.53 62 These approaches do this by providing not only a positivist or binary outcome about the effectiveness of programmes but also more experiential insight into what works and does not work.
One of the limitations of this study is that it focuses on cash and does not include vouchers, which have been increasingly used to improve accessibility to health facilities. Second, we focused on the direct impact of cash transfers on health outcomes and service utilisation without exploring wider social determinants indirectly affecting health, such poverty reduction, clean water and sanitation access and education. Third, the available evidence was limited, and studies often had significant limitations, complicating robust information synthesis and preventing the performance of additional analysis (eg, meta-analyses). Yet, opportunities for rigorous approaches in acute emergencies are limited due to inaccessibility and the short planning cycles of intervention design and implementation. Finally, we focused on the inclusion of peer-reviewed academic journals in order to limit potential biases and confounders, inaccuracies and incomplete information and to ensure the replicability of this review.63 Consequently, evidence reported in the grey literature (including NGO and government reports, theses and dissertations) that provide data not found in the peer-reviewed published academic literature may have been missed, resulting in a chance of publication bias as authors tend to publish studies with significant results. Despite this, the review has several strengths, including a detailed and updated comprehensive search strategy to gather available evidence, the synthesis of both quantitative and qualitative literature, unlimited date range of publications included and a broad definition of health outcomes allowing for a diverse examination of the impact of cash transfers on health. To our knowledge, this is the first systematic review on both conditional and unconditional cash transfers and health outcomes in humanitarian settings. The range of data presented in this review emphasises that the impact of cash transfers is not homogeneous across settings due to differences in exposure and nature of disasters, vulnerability, sensitivity and adaptive capacity of the population in a humanitarian setting. For example, both the transfer value and timeliness of distribution are components of cash transfers that influence their effectiveness.
The findings from this systematic review exhibit not only the potential impact of cash transfers on health outcomes and health service utilisation but also calls for future research. There is urgent need for high-quality quantitative and qualitative empirical evidence that is methodologically robust, investigates a range of humanitarian settings, and is conducted over longer time periods to better understand the long-term impacts of cash transfers on health and health service utilisation in humanitarian settings. Future research must investigate this area in further detail to better understand the specific variables that influence the effectiveness of cash transfers on health outcomes. For example, considering the types of crises (armed conflict vs epidemics) or health metrics (chronic vs infectious diseases). These lines of investigation could also provide insight to the impact of cash transfers on health outcomes beyond nutrition and mental/psychosocial health that were most examined in this review. Additionally, there is a need for further and clearer evidence on implementation factors that shape how cash transfers may function in a setting. For example, across health and international development interventions, it is highly encouraged and even expected to involve stakeholders directly at the beginning of a programme rather than to introduce an intervention from the outside or top-down approaches. Humanitarian or emergency settings may pose unique challenges when it comes to the timeliness and logistics of response and so future work may consider the role of building local capacity within cash transfer and other programme that can be leveraged in times of need. The findings of this review, as well as this call for further research, can have implications for both policy and practice by informing the development of evidence-based cash transfer programmes as they are implemented across humanitarian settings.
Acknowledgments
The authors thank the peer-reviewers for their constructive feedback that enabled the improvement of the manuscript.
Footnotes
Handling editor: Seye Abimbola
Twitter: @daalenkim, @dadasara3, @rosiejames96, @HenryCAshworth, @ciaranmmooney, @EssarYasir, @ilk21, @BlanchetKarl
Contributors: KRvD conceived the presented idea and developed the research protocol with support from SD, RJ, HCA, PK, JL, CM, YK, MYE and IK. KRvD, SD, RJ, HCA, PK, JL, CM, YK, MYE and IK collected, analysed, and synthesised the data. KB and HJ provided critical feedback and expertise on the protocol, analysis and write-up. All authors have made substantial, direct and intellectual contributions to the work and approved it for publication. KRvD is responsible for the overall content.
Funding: This research did not receive any specific grant from any funding agency in the public, commercial or not-for-profit sector. KRvD received funding from the Gates Cambridge Trust (OP114) for her PhD studies and received funding for publication of this article from the Gates Foundation.
Competing interests: None declared.
Provenance and peer review: Not commissioned; externally peer reviewed.
Supplemental material: This content has been supplied by the author(s). It has not been vetted by BMJ Publishing Group Limited (BMJ) and may not have been peer-reviewed. Any opinions or recommendations discussed are solely those of the author(s) and are not endorsed by BMJ. BMJ disclaims all liability and responsibility arising from any reliance placed on the content. Where the content includes any translated material, BMJ does not warrant the accuracy and reliability of the translations (including but not limited to local regulations, clinical guidelines, terminology, drug names and drug dosages), and is not responsible for any error and/or omissions arising from translation and adaptation or otherwise.
Data availability statement
All data relevant to the study are included in the article or uploaded as supplementary information. Not applicable.
Ethics statements
Patient consent for publication
Not applicable.
Ethics approval
This research did not require an institutional review board approval as the data were collected from existing online databases and publicly available. This research did not involve any human subjects.
References
- 1.Global humanitarian overview 2022, 2022. Available: https://gho.unocha.org/
- 2.Blanchet K, Ramesh A, Frison S, et al. Evidence on public health interventions in humanitarian crises. Lancet 2017;390:2287–96. 10.1016/S0140-6736(16)30768-1 [DOI] [PubMed] [Google Scholar]
- 3.van Daalen KR, Dada S, Issa R, et al. A scoping review to assess sexual and reproductive health outcomes, challenges and recommendations in the context of climate migration. Front Glob Womens Health 2021;2:78. 10.3389/fgwh.2021.757153 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.The global humanitarian assistance report- development initiatives, 2021. Available: https://devinit.org/resources/global-humanitarian-assistance-report-2021/#downloads
- 5.WHO and Global Health Cluster Cash Task Team . Interim guidance note on the role of cash and Voucher assistance to reduce financial barriers in the response to the COVID-19 pandemic, in contexts targeted by the global humanitarian response plan COVID-19, 2020. Available: https://www.calpnetwork.org/wp-content/uploads/ninja-forms/2/Interim-Guidance-note-CVA-and-COVID-revised-25Jun20.pdf
- 6.cash learning partnership . Glossary of terms. Available: https://www.calpnetwork.org/resources/glossary-of-terms/?letter=U
- 7.Gaarder MM, Glassman A, Todd JE. Conditional cash transfers and health: unpacking the causal chain. J Dev Effect 2010;2:6–50. 10.1080/19439341003646188 [DOI] [Google Scholar]
- 8.de Groot R, Palermo T, Handa S, et al. Cash transfers and child nutrition: pathways and impacts. Dev Policy Rev 2017;35:621–43. 10.1111/dpr.12255 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Pega F, Shaw C, Rasanathan K, et al. Climate change, cash transfers and health. Bull World Health Organ 2015;93:559–65. 10.2471/BLT.14.150037 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Lagarde M, Haines A, Palmer N, et al. The impact of conditional cash transfers on health outcomes and use of health services in low and middle income countries. Cochrane Database Syst Rev 2009;67. 10.1002/14651858.CD008137 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Cruz RCdeS, Moura LBAde, Soares Neto JJ. Conditional cash transfers and the creation of equal opportunities of health for children in low and middle-income countries: a literature review. Int J Equity Health 2017;16:161. 10.1186/s12939-017-0647-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Onwuchekwa C, Verdonck K, Marchal B. Systematic review on the impact of conditional cash transfers on child health service utilisation and child health in sub-Saharan Africa. Front Public Health 2021;9:946. 10.3389/fpubh.2021.643621 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.UNHNR . Cash-based interventions for health programmes in refugee settings a review, 2015. Available: https://www.unhcr.org/afr/568bce619.pdf
- 14.Doocy S, Tappis H. Cash‐based approaches in humanitarian emergencies: a systematic review. Campbell Systematic Reviews 2017;13:1–200. 10.4073/csr.2017.17 [DOI] [Google Scholar]
- 15.Spiegel PB. The humanitarian system is not just broke, but broken: recommendations for future humanitarian action. The Lancet 2017;288. 10.1016/S0140-6736(17)31278-3 [DOI] [PubMed] [Google Scholar]
- 16.World Bank Group . Strategic note cash transfers in humanitarian contexts. Available: https://documents1.worldbank.org/curated/en/697681467995447727/pdf/106449-WP-IASC-Humanitarian-Cash-PUBLIC.pdf
- 17.Bailey S, Pongracz S. Shaping policy for development humanitarian cash transfers: cost, value for money and economic impact background note for the high level panel on humanitarian cash transfers. In: Shap. policy DEV, 2015. https://cdn.odi.org/media/documents/9731.pdf [Google Scholar]
- 18.Bailey S, Harvey P. Shaping policy for development state of evidence on humanitarian cash transfers background note for the high level panel on humanitarian cash transfers. Shap. policy Dev 2015. https://cdn.odi.org/media/documents/9731.pdf [Google Scholar]
- 19.Owusu-Addo E, Renzaho AMN, Smith BJ. The impact of cash transfers on social determinants of health and health inequalities in sub-Saharan Africa: a systematic review. Health Policy Plan 2018;33:675–96. 10.1093/heapol/czy020 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Lagarde M, Haines A, Palmer N. Conditional cash transfers for improving uptake of health interventions in low- and middle-income countries: a systematic review. JAMA 2007;298:1900–10. 10.1001/jama.298.16.1900 [DOI] [PubMed] [Google Scholar]
- 21.Siddiqi A, Rajaram A, Miller SP. Do cash transfer programmes yield better health in the first year of life? A systematic review linking low-income/middle-income and high-income contexts. Arch Dis Child 2018;103:920–6. 10.1136/archdischild-2017-314301 [DOI] [PubMed] [Google Scholar]
- 22.Pega F, Liu SY, Walter S, et al. Unconditional cash transfers for assistance in humanitarian disasters: effect on use of health services and health outcomes in low- and middle-income countries. Cochrane Database Syst Rev 2015;2015:CD011247. 10.1002/14651858.CD011247.pub2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Hunter BM, Harrison S, Portela A, et al. The effects of cash transfers and vouchers on the use and quality of maternity care services: a systematic review. PLoS One 2017;12:e0173068. 10.1371/journal.pone.0173068 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Owusu-Addo E, Cross R. The impact of conditional cash transfers on child health in low- and middle-income countries: a systematic review. Int J Public Health 2014;59:609–18. 10.1007/s00038-014-0570-x [DOI] [PubMed] [Google Scholar]
- 25.Munzele Maimbo S, El Qorchi M. Informal funds transfer systems: an analysis of the informal Hawala system, 2003. Available: https://books.google.co.uk/books?hl=en&lr=&id=s2h1CyesVnQC&oi=fnd&pg=PR1&dq=hawala+%2B+cash+transfer+%2B+south+asia&ots=WDKsXWrhGo&sig=fOG4U8adblXjVY_tzDvByLxF97Q&redir_esc=y#v=onepage&q=hawala%2Bcashtransfer%2Bsouthasia&f=false
- 26.Zibulewsky J. Defining disaster: the emergency department perspective. Proc 2001;14:144. 10.1080/08998280.2001.11927751 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.OHCHR . Protecting human rights in humanitarian crises. Available: https://www.ohchr.org/EN/Issues/HumanitarianAction/Pages/Crises.aspx
- 28.Anderson M, Gerber M. Introduction to humanitarian emergencies. In: Heal. Humanit. emergencies, 2018: 1–8. [Google Scholar]
- 29.Abu-Hamad B, Jones N, Pereznieto P. Tackling children’s economic and psychosocial vulnerabilities synergistically: How well is the Palestinian National Cash Transfer Programme serving Gazan children? Child Youth Serv Rev 2014;47:121–35. 10.1016/j.childyouth.2014.09.009 [DOI] [Google Scholar]
- 30.Aker JC. Comparing cash and voucher transfers in a humanitarian context: evidence from the Democratic Republic of Congo. World Bank Econ. Rev 2017;31:44–70. [Google Scholar]
- 31.Bliss J, Jensen N, Thiede B, et al. Factors associated with the risk of acute malnutrition among children aged 6 to 36 months in households targeted by an emergency cash transfer program. Food Nutr Bull 2016;37:387–400. 10.1177/0379572116654772 [DOI] [PubMed] [Google Scholar]
- 32.Bliss J, Golden K, Bourahla L, et al. An emergency cash transfer program promotes weight gain and reduces acute malnutrition risk among children 6-24 months old during a food crisis in niger. J Glob Health 2018;8:010410. 10.7189/jogh.08.010410 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Doocy S, Busingye M, Lyles E, et al. Cash-based assistance and the nutrition status of pregnant and lactating women in the Somalia food crisis: a comparison of two transfer modalities. PLoS One 2020;15:e0230989. 10.1371/journal.pone.0230989 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Doocy S, Busingye M, Lyles E, et al. Cash and voucher assistance and children's nutrition status in Somalia. Matern Child Nutr 2020;16:e12966. 10.1111/mcn.12966 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Edmond KM, Foshanji AI, Naziri M, et al. Conditional cash transfers to improve use of health facilities by mothers and newborns in conflict affected countries, a prospective population based intervention study from Afghanistan. BMC Pregnancy Childbirth 2019;19:193. 10.1186/s12884-019-2327-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Falb KL, Blackwell AH, Stennes J, et al. Cash assistance programming and changes over time in ability to meet basic needs, food insecurity and depressive symptoms in Raqqa Governorate, Syria: evidence from a mixed methods, pre-posttest. PLoS One 2020;15:e0232588. 10.1371/journal.pone.0232588 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Freccero J, Taylor A, Ortega J, et al. Safer cash in conflict: exploring protection risks and barriers in cash programming for internally displaced persons in Cameroon and Afghanistan. Int. Rev. Red Cross 2019;101:685–713. 10.1017/S1816383120000119 [DOI] [Google Scholar]
- 38.Green EP, Blattman C, Jamison J, et al. Does poverty alleviation decrease depression symptoms in post-conflict settings? A cluster-randomized trial of microenterprise assistance in northern Uganda. Glob Ment Health 2016;3:1–9. 10.1017/gmh.2015.28 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Grijalva-Eternod CS, Jelle M, Haghparast-Bidgoli H, et al. A cash-based intervention and the risk of acute malnutrition in children aged 6-59 months living in internally displaced persons camps in Mogadishu, Somalia: a non-randomised cluster trial. PLoS Med 2018;15:e1002684. 10.1371/journal.pmed.1002684 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Gros C, Bailey M, Schwager S, et al. Household-level effects of providing forecast-based cash in anticipation of extreme weather events: quasi-experimental evidence from humanitarian interventions in the 2017 floods in Bangladesh. Int J Disaster Risk Reduct 2019;41:101275. 10.1016/j.ijdrr.2019.101275 [DOI] [Google Scholar]
- 41.Hagen-Zanker J, Ulrichs M, Holmes R. What are the effects of cash transfers for refugees in the context of protracted displacement? findings from Jordan. Int Soc Secur Rev 2018;71:57–77. 10.1111/issr.12166 [DOI] [Google Scholar]
- 42.Hidrobo M, Hoddinott J, Peterman A, et al. Cash, food, or vouchers? Evidence from a randomized experiment in northern Ecuador. J Dev Econ 2014;107:144–56. 10.1016/j.jdeveco.2013.11.009 [DOI] [Google Scholar]
- 43.Hou X. Can drought increase total calorie availability? the impact of drought on food consumption and the mitigating effects of a conditional cash transfer program. Econ Dev Cult Change 2010;58:713–37. 10.1086/652477 [DOI] [Google Scholar]
- 44.MacPherson C, Sterck O. Empowering refugees through cash and agriculture: a regression discontinuity design. J Dev Econ 2021;149:102614. 10.1016/j.jdeveco.2020.102614 [DOI] [Google Scholar]
- 45.Schwab B. In the form of bread? A randomized comparison of cash and food transfers in Yemen. Am J Agric Econ 2020;102:91–113. 10.1093/ajae/aaz048 [DOI] [Google Scholar]
- 46.Sibson VL, Grijalva-Eternod CS, Noura G, et al. Findings from a cluster randomised trial of unconditional cash transfers in niger. Matern Child Nutr 2018;14:e12615. 10.1111/mcn.12615 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Kurdi S. The nutritional benefits of cash transfers in humanitarian crises: evidence from Yemen. World Dev 2021;148:105664. 10.1016/j.worlddev.2021.105664 [DOI] [Google Scholar]
- 48.Lyles BE, Chua S, Barham Y, et al. Improving diabetes control for Syrian refugees in Jordan: a longitudinal cohort study comparing the effects of cash transfers and health education interventions. Confl Health 2021;15:1–19. 10.1186/s13031-021-00380-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Lyles E, Arhem J, El Khoury G, et al. Multi-Purpose cash transfers and health among vulnerable Syrian refugees in Lebanon: a prospective cohort study. BMC Public Health 2021;21:1–19. 10.1186/s12889-021-11196-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Moussa W, Salti N, Irani A, et al. The impact of cash transfers on Syrian refugee children in Lebanon. World Dev 2022;150:105711. 10.1016/j.worlddev.2021.105711 [DOI] [Google Scholar]
- 51.Tossou Y. COVID-19 and the impact of cash transfers on health care use in Togo. BMC Health Serv Res 2021;21:1–10. 10.1186/s12913-021-06895-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.ODI . What are the effects of cash transfers for refugees in the context of protracted displacement? findings from Jordan, 2018. Available: https://odi.org/en/publications/what-are-the-effects-of-cash-transfers-for-refugees-in-the-context-of-protracted-displacement-findings-from-jordan/
- 53.Bailey S, Hedlund K. The impact of cash transfers on nutrition in emergency and transitional contexts a review of evidence on behalf of hpg commissioned rePort 2012.
- 54.Extending COVID-related reforms to conditional cash transfers could improve the life chances of young people in Colombia | LSE Latin America and Caribbean.. Available: https://blogs.lse.ac.uk/latamcaribbean/2021/05/10/extending-covid-related-reforms-to-conditional-cash-transfers-could-improve-the-life-chances-of-young-people-in-colombia/
- 55.Bauer A, Garman E, McDaid D, et al. Integrating youth mental health into cash transfer programmes in response to the COVID-19 crisis in low-income and middle-income countries. Lancet Psychiatry 2021;8:340–6. 10.1016/S2215-0366(20)30382-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Varshney D, Kumar A, Mishra AK, et al. COVID-19, government transfer payments, and investment decisions in farming business: evidence from northern India. Appl Econ Perspect Policy 2021;43:248–69. 10.1002/aepp.13144 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Lawson-McDowall J, McCormack R, Tholstrup S. The use of cash assistance in the Covid-19 humanitarian response: accelerating trends and missed opportunities. Disasters 2021;45 Suppl 1:S216–39. 10.1111/disa.12524 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Jha A. Vulnerability of construction workers during COVID-19: tracking welfare responses and challenges. Indian J Labour Econ 2021;64:1-25. 10.1007/s41027-021-00348-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Bhorat H, Oosthuizen M, Stanwix B. Social assistance amidst the COVID‐19 epidemic in South Africa: a policy assessment. South Afr. J. Econ. 2021;89:63–81. 10.1111/saje.12277 [DOI] [Google Scholar]
- 60.Amundsen I. Covid-19, cash transfers, and corruption policy guidance for donors. Anti-corruption Resour. Cent 2020. https://www.cmi.no/publications/7222-covid-19-cash-transfers-and-corruption [Google Scholar]
- 61.Ashworth HC, Dada S, Buggy C, et al. The importance of developing rigorous social science methods for community engagement and behavior change during outbreak response. Disaster Med Public Health Prep 2020:1–6. 10.1017/dmp.2020.163 [DOI] [PubMed] [Google Scholar]
- 62.Ridde V. Need for more and better implementation science in global health. BMJ Glob Health 2016;1:e000115. 10.1136/bmjgh-2016-000115 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Adams J, Hillier-Brown FC, Moore HJ, et al. Searching and synthesising 'grey literature' and 'grey information' in public health: critical reflections on three case studies. Syst Rev 2016;5:164. 10.1186/s13643-016-0337-y [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
bmjgh-2021-007902supp001.pdf (314.9KB, pdf)
Data Availability Statement
All data relevant to the study are included in the article or uploaded as supplementary information. Not applicable.