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Bulletin of the World Health Organization logoLink to Bulletin of the World Health Organization
. 2021 Aug 20;99(11):805–818. doi: 10.2471/BLT.20.285218

Performance-based incentives and community health workers’ outputs, a systematic review

Incitants liés aux performances et résultats des agents de santé communautaires: revue systématique

Incentivos basados en el rendimiento y resultados del personal sanitario de la comunidad: una revisión sistemática

الحوافز القائمة على الأداء ونتائج العاملين في الصحة المجتمعية، مراجعة منهجية

针对基于绩效的奖励措施和社区卫生工作者成果的一项系统性回顾摘要

Стимулы для общинных медико-санитарных работников с учетом результатов их деятельности, систематический обзор

Thomas Gadsden a,, Sikhumbuzo A Mabunda a, Anna Palagyi a, Asri Maharani b, Sujarwoto Sujarwoto c, Michelle Baddeley d, Stephen Jan a
PMCID: PMC8542270  PMID: 34737473

Abstract

Objective

To review the evidence on the impact on measurable outcomes of performance-based incentives for community health workers (CHWs) in low- and middle-income countries.

Methods

We conducted a systematic review of intervention studies published before November 2020 that evaluated the impact of financial and non-financial performance-based incentives for CHWs. Outcomes included patient health indicators; quality, utilization or delivery of health-care services; and CHW motivation or satisfaction. We assessed risk of bias for all included studies using the Cochrane tool. We based our narrative synthesis on a framework for measuring the performance of CHW programmes, comprising inputs, processes, performance outputs and health outcomes.

Findings

Two reviewers screened 2811 records; we included 12 studies, 11 of which were randomized controlled trials and one a non-randomized trial. We found that non-financial, publicly displayed recognition of CHWs’ efforts was effective in improved service delivery outcomes. While large financial incentives were more effective than small ones in bringing about improved performance, they often resulted in the reallocation of effort away from other, non-incentivized tasks. We found no studies that tested a combined package of financial and non-financial incentives. The rationale for the design of performance-based incentives or explanation of how incentives interacted with contextual factors were rarely reported.

Conclusion

Financial performance-based incentives alone can improve CHW service delivery outcomes, but at the risk of unincentivized tasks being neglected. As calls to professionalize CHW programmes gain momentum, research that explores the interactions among different forms of incentives, context and sustainability is needed.

Introduction

Community health workers (CHWs) play an important role in fulfilling global commitments to strengthen primary health-care systems and achieve universal health coverage. A CHW is a member of the community who has received some training to promote health or to perform some health-care services but is not a health-care professional.1 They provide basic preventive health care, health education, referral and home visiting services to specific communities.2,3 Although CHWs have lower levels of education and training than other health workers such as doctors and nurses, they are directly connected to the communities they serve – they live in them and are accountable to them.3,4 Staffing models for CHW programmes worldwide range from highly trained salaried workers to volunteers with minimal training.5

Performance-based incentives refer to the transfer of money or material goods conditional on the achievement of a predetermined performance target.6 Incentives can include financial incentives such as commissions, stipends and allowances, as well as non-financial incentives such as material goods, certificates and awards.7 In low-and middle-income countries these interventions are typically implemented at the facility level but they can be directly targeted to individual health workers.8,9 Measurable targets may include health outcomes, delivery of interventions, utilization of services and quality of care.8,9While many published reviews highlight incentives as an important element of CHW programmes, we found no specific evidence on the impact of performance-based incentive interventions on measurable outcomes of CHWs’ performance.4,1012 A systematic review was conducted to inform the 2018 World Health Organization (WHO) guideline to optimize CHW programmes.3,13 However, the study focused on the broader question of whether CHWs should be paid for their work. The impact of performance-based incentives on outcomes for other cadres of health workers has been widely studied, but similar evidence for CHWs is lacking.1416

The design of performance-based incentives for health workers and the mechanisms by which incentives influence behaviour remains poorly understood.6 Introducing payments for tasks which were previously performed as part of the job or on a voluntary basis may undermine intrinsic motivations (that is, engaging in a behaviour because it is rewarding).17 Performance-based incentives may also detract effort from other unrewarded tasks.18 For instance, rewarding health workers for reaching performance targets (such as number of patients screened for cardiovascular risk factors) may reduce their motivation to conduct unrewarded activities (such as dietary and lifestyle advice). These considerations contributed to the 2018 WHO guideline recommendation that CHWs should not be paid “exclusively or predominantly according to performance-based incentives.”13 The guideline also cites insufficient context-specific evidence as a key research gap and that “evidence is not sufficiently granular to allow recommendation of specific forms of interventions, for example which bundle of financial and non-financial incentives are most effective.”13

We carried out a systematic review of the impact of performance-based incentives on measurable outcomes of CHWs’ performance. Our goal was to examine the design features that may explain why some interventions were more successful than others. This review comes at a time of heightened interest in designing behaviour change interventions through frameworks such as behavioural economics. Consolidating such evidence in relation to the behaviour of CHWs and their interactions with performance-based incentives will equip policy-makers to design more effective interventions.

Methods

We designed the review in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines and registered it prospectively with the International Prospective Register of Systematic Reviews (#CRD187629).19

Study selection

We searched online databases for studies reporting the implementation of incentives to improve the performance or motivation of CHWs in low- and middle-income countries and published before November 2020 (Box 1).The full search strategy is available in the authors’ data repository.20

Box 1. Databases and example search terms for the systematic review on incentives for community health workers in low- and middle-income countries .

We searched the online databases of PubMed®, Embase®, Emcare®, Global Health, Cochrane Library, PsycInfo® and CINAHL, using the following keywords:

(Community Health Work*/ OR lay health work*/OR volunteer health work*/ OR Home Health Aides)

AND

(Motivation/ OR reimbursement, incentive/ OR salaries and fringe benefits/ OR remuneration/ OR Performance based incentive/ OR Attitude of Health Personnel/ OR employee incentive plans/ OR gift giving/)

AND

Developing Countries/ OR ((low adj3 middle adj3 countr*) OR (lmic OR lmics OR lami countr* OR middle income countr*))

We used the definition of CHWs from the 2018 WHO guideline to optimize CHW programmes,13 which excludes traditional birth attendants.3 We limited eligibility to studies where one of the primary objectives was to determine the impact of an intervention of performance-based incentives on measurable outcomes of CHW performance. We included incentives that were financial or non-financial or a combination. To measure change in CHW performance, we extracted and categorized outcomes as: patient health; quality, utilization or delivery of health-care services; and CHW motivation or satisfaction. We included motivation as an outcome measure as it is an important component of performance.21 Eligible study designs included randomized and non-randomized trials, controlled before-and-after studies and impact evaluation studies. We excluded qualitative studies and studies where the impact of the incentive was not isolated from the overall impact of the CHW programme (for example in a study in Uganda).22 We limited the search to countries classified as low income and lower-middle income in the World Bank income classification in 2019.23 We applied no language restrictions.

Two authors independently assessed the titles and abstracts of the initial search results against the inclusion and exclusion criteria and reached a consensus. Full texts were then reviewed by the same two authors and where necessary a third reviewer was consulted to resolve disagreements. We hand-searched the reference lists of all included articles for additional articles.

Data analysis

Two authors independently extracted the following data into a spreadsheet: study design, country, CHW characteristics and outcomes. We assessed risk of bias using the Cochrane risk-of-bias tool.24 Two authors independently assessed the quality of each included study using the Critical Appraisal Skills Programme quality checklist.25 We selected these tools for their ability to identify key quality issues across a wide range of study designs, including those incorporating complex interventions. More details of the quality criteria used are shown in the data repository.20

We performed a narrative analysis that was informed by a previously published framework for measuring CHW performance (Fig. 1).26 The framework identifies domains for measuring the performance of CHW programmes, comprising: inputs, processes, performance outputs and outcomes. As we restricted our review to CHW performance outcomes, our synthesis focused on outputs and outcomes under the framework. Where possible, we also synthesized the results according to their pathways to impact. This technique reflects recent practice in the performance-based financing community to go beyond assessing the average effect of programmes to exploring the mechanisms of impact.27

Fig. 1.

Fig. 1

Community health worker performance measurement framework

CHW: community health worker.

Source: Agarwal et al., 2019.26 Right to reproduce under the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).

Results

Our initial search yielded 2811 records, 49 of which met our inclusion criteria and underwent full-text review. We included 12 studies in the final review2839 from eight countries (El Salvador, Guinea-Bissau, India, Pakistan, Rwanda, Sierra Leone, Uganda and Zambia; Fig. 2). The characteristics of the included studies are summarized in Table 1. The studies provided limited information on the baseline function of CHW participants, their baseline forms of remuneration and how incentives were designed (more details are in the data repository).20

Fig. 2.

Fig. 2

Flow diagram of selection of articles for the systematic review of performance-based incentives for community health workers

Table 1. Studies included in the systematic review of performance-based incentives for community health workers in low- and middle-income countries.

Study Country Setting Study design Study duration Sample size (no., % women) Type of incentivea
Ashraf et al., 201436 Zambia Urban Four-arm cluster randomized controlled trial 12 months 771 community health agents (% of women not reported) Financial and non-financial
Singh, 201531 India Urban slums Non-randomized trial 3 months 145 Anganwadi workers (145 women, 100%) Financial
Bossuroy et al., 201628 India Urban slums Four-arm cluster randomized controlled trial 12 months 78 CHWs (78 women, 100%) Financial
Singh & Masters, 201732 India Urban slums Three-arm cluster randomized controlled trial 3 months 160 Anganwadi workers (160 women, 100%) Financial
Singh & Mitra, 201733 India Urban slums Three-arm cluster randomized controlled trial 3 months 209 Anganwadi workers (209 women, 100%) Financial
Shapira et al., 201830 Rwanda Urban and rural Four-arm randomized controlled trial 4 years 197 CHW cooperatives; 2000 CHWs (1720 women, 86%) Financial
Carmichael et al., 201929 India Urban Five-arm cluster randomized controlled trial 2.5 years 646 accredited social health activists, Anganwadi workers and auxiliary nurse midwives (646 women, 100%) Non-financial
Fracchia et al., 201938 Guinea-Bissau Urban Three-arm randomized controlled trial 14 months 1015 CHWs (487 women, 48%) Non-financial
Bernal & Martinez, 202037 El Salvador Urban and rural Cluster randomized controlled trial 18 months 75 community health teams (% of women not reported) Non-financial
Wagner et al., 202034 Uganda Peri-urban Cluster randomized controlled trial 1 month 118 CHWs (% of women not reported) Financial
Deserranno et al., 202035 Sierra Leone Six districts Four-arm randomized controlled trial 14 months 2970 CHWs (861 women, 29%) Financial
Khan, 202039 Pakistan Rural Three-arm randomized controlled trial 3 months 710 CHWs (710 women, 100%) Financial

CHW: community health worker.

a More details of the incentives in each study are in Table 2 and the authors’ data repository.20

Note: Anganwadi workers are a cadre of CHW in India.

Study designs

Of the 12 included studies, 11 were randomized controlled trials and one was a non-randomized trial.31 Eight studies tested financial performance-based incentives against the usual care (that is, normal working conditions).28,3035,39 One study compared financial and non-financial performance-based incentives separately against usual care.36 Three studies tested non-financial performance-based incentives compared with usual care,37 an existing intervention29 or a video intended to enhance CHWs’ motivation.38

The financial performance-based incentives tested included performance-based payments (nine studies),28,3033,35,39 including income from selling health products, such as diarrhoea treatments.34,36 Non-financial performance-based incentives included the provision of material goods to CHWs, such as household goods and office assets (two studies),29,37 or social recognition, such as a publicly awarded certificate (two studies).36,38 The majority of studies (10 studies) examined the impact of CHW activities on maternal, newborn and child health programmes.2935,3739 More details of the treatment arms of each study are in the data repository.20

Effects of interventions

The results of each study are summarized in Table 2. Due to different ways of reporting the data and units of analyses across the papers, we report the results as in the original papers. Only six studies reported their method of randomly allocating participants to groups and several studies relied on subjective outcome measures, primarily household surveys and data collected by CHWs. Results were commonly reported with limited details, particularly regarding baseline data, precision estimates and interpretation. It is therefore unclear whether selective reporting occurred as study protocols were rarely available (Fig. 3); more details are in the data repository.20

Table 2. Measure of effect for primary outcomes in the systematic review of performance-based incentives for community health workers in low- and middle-income countries.

Study & topic Intervention type Description of treatment arms Outcomes (follow-up period) Measurement Measure of effect
CHW competency
Ashraf et al., 201436 Financial and non-financial incentives Intervention A: CHWs keep 90% of retail price for each condom pack sold
Intervention B: CHWs keep 10% of retail price for each condom pack sold
Intervention C: CHWs publicly display the number of condom packs sold
Control: No incentives
CHWs: Number of condom packs sold
(12 months)
Number of condom packs each agent restocked over the study period Intervention A: No statistically significant effect on number of condom packs sold
Intervention B: No statistically significant effect on number of condom packs sold
Intervention C: 7.48 more condom packs sold (P < 0.01)
(No further data on treatment effect reported)
Bossuroy et al., 201628 Financial incentive Intervention A: Financial incentives based on patient detection for 6 months then based on treatment adherence
Intervention B: Financial incentives based on patient detection for 6 months then a fixed salary
Control: Fixed salary
CHWs: Tuberculosis case detection; CHWs’ motivation
Patients: Tuberculosis default rate
(6 months)
Administrative data including CHW salary per month
CHW surveys
Intervention A: Number of new tuberculosis cases detected increased by 2.18 (33.2%) each month (P = 0.01). Over the same period, number of patients defaulting from treatment increased by 0.08 (100%) per month (P = 0.05)
Intervention B: No statistically significant effect on number of detections or defaults
(Baseline information, numerator and denominator not reported)
Carmichael et al., 201929 Non-financial incentive Intervention: Non-financial incentives for CHW teams if they meet five of seven maternal, newborn, child health indicators per quarter
Control: training and monitoring of CHWs on maternal, newborn, child health to increase the quantity and quality of home visits
CHWs: Seven maternal, newborn, child health indicators
(2.5 years)
Endline survey of CHWs
Baseline and endline surveys of mothers who had given birth in the catchment areas of the intervention and control subcentres
Intervention: Proportion of mothers reporting antenatal household visits increased from 33.3% (277/831) to 64.7% (556/859; P = 0.01). Difference-in-difference estimates found that 15% of this difference was attributable to the intervention (P = 0.027)
Fracchia et al., 201938 Non-financial incentive Intervention A. Non-financial prize for CHWs who achieve performance targets
Intervention B: CHWs watch a video emphasizing the importance of CHW work
Intervention C: Households receive information on the role of CHWs in communities
Control: No performance-based incentive
CHWs: Number of household visits; CHWs’ knowledge
Patients: Satisfaction with CHWs, self-reported health knowledge
(14 months)
Administrative data
Baseline and endline CHW surveys
Baseline and endline household face-to-face surveys
Household endline phone survey
Intervention A: No statistically significant effect on household visits. Household satisfaction with CHWs increased by 0.25 SD (P < 0.10). Household knowledge of health practices increased by 0.23 SD (P < 0.01)
Intervention B: No statistically significant effect on outcomes
Intervention C: No statistically significant effect on outcomes
Wagner et al., 201934 Financial incentive Intervention A: CHWs sell oral rehydration salts and zinc tablets during home visits and retain profits
Intervention B: CHWs provide households with vouchers which can be redeemed for oral rehydration salts and zinc tablets
Intervention C: CHWs distribute oral rehydration salts and zinc tablets to households free of charge
Control: CHWs sell oral rehydration salts in addition to other health products
CHWs: Number of household visits
Patients: Use of oral rehydration salts
(1 month)
Baseline and endline household surveys Intervention A: 35% of households visited by CHW
Intervention B: 56% of households visited by CHW
Intervention C: 61% of households visited by CHW
(Baseline information, numerator and denominator not reported)
Bernal et al., 202037 Non-financial incentive Intervention: Non-financial incentives for community health teams who achieve targets
Control: Eligible for incentives after 12 months
CHWs: Community outreach
(1.5 years)
Indicators measured every 6 months (including baseline) using household surveys Intervention: Family planning information provided to women increased from 50.4% to 56.2%, a 5.8% increase compared with control (P < 0.10). Knowledge of treatment of diarrhoea among households increased from 7.1% to 15.0%, a 7.8% increase compared with control (P < 0.05)
(Numerator and denominator not reported)
Deserranno et al., 202035 Financial incentive Intervention A: CHWs receive performance payments for each household visit conducted
Intervention B: Supervisors receive performance payments for each household visit by CHWs under their supervision
Intervention C: CHW and supervisors both receive performance payments for each household visit
Control: No performance-based incentive
CHWs: Number of household visits; supervisor engagement with community
Patients: Self-reported health outcomes
(14 months)
Baseline and endline CHW and supervisor surveys
Endline household survey
Intervention A: Number of household visits increased by 2.1 (P < 0.01)
Intervention B: Number of household visits increased by 2.1 (P < 0.01)
Intervention C: Number of household visits increased by 3.3 (P < 0.01)
(Baseline data not reported)
Khan, 202039 Financial incentive Intervention A: CHWs watch a video that emphasizes their mission every 3 months
Intervention B: CHWs receive performance payments for every additional household visited (above baseline)
Intervention C: both intervention A and B
Control: No performance-based incentive
CHWs: Number of household visits
Patients: Self-reported health outcomes
(3 months)
Baseline and endline household surveys
Baseline CHW survey
Administrative data
Intervention A: Probability of a household visit was 41.0%, an increase of 5.7% compared with control 35.3% (P < 0.01)
Intervention B: Probability of a household visit was 45.0%, an increase of 9.7% compared with control 35.3% (P < 0.01)
Intervention C: Probability of a household visit was 42.1%, an increase of 6.8% compared with control 35.3% (P < 0.01)
(Baseline, numerators and denominators not reported)
CHW well-being
Bossuroy et al., 201628 Financial incentive Intervention A: Financial incentives based on patient detection for 6 months then based on treatment adherence
Intervention B: Financial incentives based on patient detection for 6 months then a fixed salary
Control: Fixed salary
CHWs: Tuberculosis case detection; CHWs’ motivation
Patients: Tuberculosis default rate
(6 months)
Administrative data including CHW salary per month
CHW surveys
Intervention A: CHW job satisfaction decreased by 0.25 SD (P < 0.05)
Intervention B: CHW job satisfaction decreased by 0.20 SD (P < 0.1)
(No further data reported)
Community access
Shapira et al., 201830 Financial incentive Intervention A: CHWs receive performance payments based on the number of targeted maternal, newborn, child health services provided
Intervention B: Health centres provide non-financial incentives to mothers who met service utilization indicators
Intervention C: both intervention A and B
Control: No performance-based incentive
CHWs: Antenatal care visits
Patients: Service use (e.g. facility-based deliveries)
(3 years)
Baseline and endline household and CHW surveys Intervention A: Women were 5% less likely to report receiving antenatal care from CHWs (B = −0.054; P = 0.013). Women were 5% less likely to be referred or accompanied to deliveries (B = −0.053; P = 0.1)
(Numerators and denominators not reported)
Health outcomes
Singh et al., 201531 Financial incentive Intervention A: Anganwadi workers receive performance payments for each child whose malnutrition classification improved
Intervention B: Mothers of children receive a recipe book and Anganwadi workers receive fixed wages
Intervention C: both intervention A and B
Control: Base salary, no incentives
Patients: Child health outcomes
(3 months)
Baseline and endline anthropometric measurements of children
Baseline and endline interviews with mothers of children
Intervention A: No statistically significant effect
Intervention B: No statistically significant effect
Intervention C: Children’s weight increased by 171 g on average compared with control (P < 0.05) from a baseline of 12.97 kg. Child malnutrition decreased by 4.2% (from baseline of 43%; P < 0.1)
Singh & Masters, 201732 Financial incentive Intervention A: Anganwadi workers receive performance payment (Rs. 200) for each child whose malnutrition classification improved. Mothers receive a free recipe book
Intervention B: Anganwadi workers receive a one-time bonus of Rs. 200 regardless of performance. Mothers receive a free recipe book
Control: Base salary, no incentives
Patients: Child health outcomes
(3 months)
Baseline and endline anthropometric measurements of children
Endline interviews with mothers of children
Intervention A: Children’s weight increased by 219 g on average compared with control (from baseline of 13.67 kg; P < 0.01). Child malnutrition decreased by 5.6% (from baseline of 36%; P < 0.05)
Intervention B: No statistically significant effect
Singh & Mitra, 201733 Financial incentive Intervention A: Anganwadi workers receive performance payments (Rs.100) for each child whose malnutrition classification improved. Mothers receive a recipe book
Intervention B: Same as intervention A but Anganwadi workers receive Rs. 200 per child
Intervention C: Anganwadi workers receive performance payments based on their performance relative to others. Mothers receive a free recipe book
Control: Base salary, no incentives
Patients: Child health outcomes
(3 months)
Baseline and endline anthropometric measurements of children
Endline interviews with mothers of children
Intervention A: No statistically significant effect
Intervention B: Weight increased by 222 g on average compared with control (P < 0.05) from baseline of 13.45 kg. Child malnutrition decreased by 5% (from baseline of 35%; P < 0.01)
Intervention C: No statistically significant effect

B: regression coefficient; CHW: community health worker; CI: confidence interval; Rs: Indian rupees; SD: standard deviation.

a More details of the incentives and the treatment arms in each study are in the authors’ data repository.20

Fig. 3.

Risk of bias summary for studies included in the systematic review of performance-based incentives for community health workers in low- and middle-income countries

NA: not applicable.

Note: More details of the risk of bias and the quality assessment results are in the authors’ data repository.20

Fig. 3

Studies reported on the following performance outputs of the CHW performance measurement framework:26 (i) CHW competency; (ii) CHW well-being; (iii) community access; and (iv) health outcomes. No studies reported on the quality of care provided by CHWs or on community-centred care.

CHW competency

Eight studies reported the impact of performance-based incentives on CHW service delivery.

Three studies examined the impact of non-financial performance-based incentives alone on CHW activity levels.29,37,38 In El Salvador and India, the best performing CHW teams were rewarded with non-financial incentives at a public function (household goods and office equipment).29,37 In India, mothers in the catchment area of the intervention group reported a 15% increase in the number of antenatal home visits by CHWs (P = 0.03; baseline numbers not reported).29 In El Salvador, family planning information provided to women aged 15–49 years increased by 5.8% (from 50.4% to 56.2%) compared with the control (P < 0.10). Householders’ knowledge about treatment of diarrhoea increased by 7.9% (from 7.1% to 15.0%) compared with the control (P < 0.05). Both indicators were taken as a proxy measure of increased community outreach by CHWs.37 In Guinea-Bissau, when CHWs received a social status award for good performance (a certificate awarded in a public ceremony) householders’ satisfaction with CHWs increased by 0.25 standard deviation (SD) units (P < 0.10) and householders’ knowledge of health practices increased by 0.23 SD units (P < 0.01; baseline numbers not reported).38

Only one study compared the impact of financial and non-financial performance-based incentives on CHWs’ activity levels.36 In Zambia, community health agents were recruited to sell packs of condoms. CHWs in the two financial incentive groups received payments in terms of a small (10%) or large (90%) margin of the retail price of each pack sold, while those in the non-financial group received a display that showed to the public the number of packs sold. Neither of the financial performance-based incentives affected CHWs’ performance. However, CHWs in the non-financial incentive group sold 7.48 more packs over the study period: over twice as many packs as CHWs in the control group with no incentives (P < 0.01).

Four studies examined the impact of financial performance-based incentives alone on CHWs’ activity levels.28,34,35,39 In Sierra Leone, CHWs receiving financial performance-based incentives made an additional 2.1 household visits on average (P < 0.01) over 6 months.35 When both CHWs and their supervisor received financial incentives, CHWs made 3.3 more visits on average (P < 0.01; baseline numbers not reported). In India, when CHWs had financial incentives to detect tuberculosis cases, the number of new cases detected increased by 2.18 (33.2%) on average each month over 6 months (P < 0.05).28 However, the number of patients defaulting from treatment also increased in the intervention group during this period by an average of 0.08 per month (100%; P < 0.05; baseline values not reported). In Pakistan, CHWs received 25 Pakistani rupees for every additional household they visited.39 In the intervention group the probability of a household visit by CHWs was 9.7% higher than the control group probability (45.0% versus 35.3%; P < 0.01). Lastly in Uganda, CHWs who retained the profits from selling oral rehydration salts and zinc tablets visited 35% of households in their catchment area, compared with 61% of households among CHWs who distributed these products for free.34

CHW well-being

One study used surveys to assess the impact of performance-based incentives on CHWs’ job satisfaction in India.28 The researchers reported that when CHWs had financial incentives to detect tuberculosis cases their job satisfaction decreased by 0.25 SD units and when they were incentivized to prevent defaults from treatment, job satisfaction decreased by 0.20 SD units (before-and-after measures not reported). Qualitative interviews suggested that dissatisfaction among CHWs was directed largely at incentives to prevent patients defaulting, over which CHWs felt they had little control, resulting in lower marginal returns on effort.

Community access

One study measured the impact of financial performance-based incentives for CHW cooperatives in Rwanda on the utilization of health services by their communities.30 Financial incentives appeared to have no impact on coverage of the targeted services or on number of hours spent providing health services each week by CHWs. Mothers in villages where CHWs received performance payments alone were 5% less likely to receive antenatal care advice (P = 0.013; baseline numbers not reported).

Health outcomes

Three studies measured the impact of performance-based incentives on health outcomes.3133 The studies were all conducted in child day-care facilities in urban slums in India, where Anganwadi workers received performance payments based on improvements in children’s malnutrition. The first study identified a 4.2% decline in weight-for-age malnutrition (from 43.0% to 38.8%; P < 0.01) over 3 months when Anganwadi workers received 100 Indian rupees (Rs.; United States dollars, US$ 1.4) for each child whose weight improved and when the mothers received a free recipe book.31 However, when the financial incentive and recipe book were tested individually, the effects were negligible. A follow-up study found that a similar low payment (Rs. 100; US$ 1.4) to Anganwadi workers had no significant effects on children’s malnutrition compared with a higher payment (Rs. 200; US$ 2.7), which reduced malnutrition by 5.3% over 3 months (P < 0.05).33 Lastly, a third study of performance-based incentives for Anganwadi workers (Rs. 200; US$ 2.7 for each child with improved weight) found a 5.6% reduced prevalence of malnutrition on average over 3 months (from 36% to 31%).32

Pathways to impact

Eight of the 12 included studies explored the mechanisms behind the impact of the performance-based incentives studied. Table 3 provides a summary of what did and did not work in terms of the design of performance-based incentives in the included studies.

Table 3. Summary of evidence of effectiveness of types of performance-based incentives for community health workers in low- and middle-income countries.

Type of performance-based incentive Mechanism of incentive Why incentive worked Countries
What incentives worked?
Financial Providing performance payments to both CHWs and their supervisors Complementary efforts from CHWs to supply services and from supervisors raised demand for services35 Sierra Leone
Pairing performance payments with complementary demand-side information Incentives for Anganwadi workers and information for mothers resulted in better communication and the incentivized workers made more home visits to monitor healthy cooking3133 India
Non-financial Team-based goals and targets Incentives supported intrinsic motivation and team cohesion29,37 El Salvador, India
Boosting social status of CHWs by awarding certificates and rewards in public ceremonies and meetings Incentives can reinforce intrinsic motivation of CHWs and families’ support of CHWs29,38
Incentives can promote community recognition and appreciation of CHWs37
El Salvador, Guinea-Bissau,
India
Facilitating peer comparison among CHW Incentives can encourage effort or help CHWs to assess what is expected of them36 India, Zambia
What incentives did not work?
Financial Small performance payments to CHWs On aggregate, low financial incentives were not sufficient to motivate additional effort by CHWs30,36 Rwanda,
Zambia
Limited control over incentivized tasks Incentivized tasks perceived to be outside the control of CHWs reduced their effort and may have led to unrewarded tasks being neglected28
For CHW cooperatives, performance depended on the unobservable efforts of the other cooperative members30
India,
Rwanda
Complex rules around the disbursement of performance-based incentives CHWs reported confusion about the payment mechanisms (which were intended to encourage team and individual effort)30 Rwanda
Selling products to known impoverished households CHWs reported feeling embarrassed and socially penalized, which resulted in lower effort34 Uganda
Providing performance payments for a subset of CHW activities CHWs reallocated their effort towards the rewarded task to the detriment of other unrewarded activities28,39
CHWs focused their effort on supporting community members closest to the target measure, at the expense of other tasks32,33
India,
Pakistan

CHW: community health worker.

Four studies attributed the positive impact of non-financial performance-based incentives to an increase in the social status of CHWs.29,3638 In Guinea-Bissau, improved performance was measured among CHWs awarded with a prize during a ceremony with the presence of health authorities and community members.38 In Zambia, non-financial incentives were more effective when CHWs had more peers in the same neighbourhood and they reported being motivated by showing off their own sales levels and viewing the sales levels of their peers.36

The prosocial motivation of CHWs (the desire to act for the benefit of others or with the intention of helping others) was only measured in one study. In Zambia, CHWs were invited to donate to an existing charity that provided care to patients with human immunodeficiency virus infection or acquired immunodeficiency syndrome.36 CHWs who donated more were considered to have a higher level of prosocial motivation. Both financial and non-financial performance-based incentives were found to be more effective for those with a high level of prosocial motivation, as CHWs sold 51% more condoms than the average agent in the control group over 12 months (baseline not reported).

Six studies found that the amount of a financial performance-based incentive influenced the incentive’s impact (one study tested both high- and low-value performance payments).3033,35,36 Low financial incentives were insufficient to elicit additional effort from CHWs in four studies.30,31,33,36 In Rwanda, for example, financial incentives for CHW cooperatives were originally set at US$ 2.1–3.2 per service but reduced to US$ 0.5–1.0 by year 2 due to budgetary constraints. Conversely, high performance payments were found to be effective in three studies.32,33,35 In Sierra Leone, for instance, CHWs could earn up to an additional 40% of their monthly wage of 150 000 Sierra Leonean Leone (US$ 19.5 at the time of the study) in financial incentives.35

Four studies of financial performance-based incentives found evidence of individuals allocating their effort towards incentivized tasks or outcomes while neglecting non-contracted activities.28,32,33,39 In India, Anganwadi workers reallocated their effort towards the incentivized activity (detecting new cases of tuberculosis), to the detriment of other non-rewarded tasks.28 Similarly, Anganwadi workers allocated their effort to children who were closest to the malnutrition cut-off threshold (that is, those providing the highest financial returns on effort).32,33 Improvements in health outcomes were almost 70% higher for children closest to their target weight compared with those further away (baseline not reported).33

Discussion

We found that non-financial performance-based incentives were consistently effective at increasing CHW service delivery outcomes. While large financial incentives alone were more effective than small ones, they occasionally resulted in unintended consequences such as CHWs reallocating effort towards incentivized activities to the detriment of unrewarded tasks. Additionally, we did not find any studies testing a combination of financial and non-financial incentives.

Our findings reflect the recommendations of the 2018 WHO guideline on CHW programmes that while incentives are clearly important for CHWs, there is a need for caution with the exclusive use of financial performance-based incentives.13 Although the studies included in this review did not always report whether CHWs received baseline forms of remuneration, seven out of nine studies on financial incentives provided incentives on top of baseline remuneration.28,3133,35,36,39 In the two studies providing performance-based financial incentives alone,30,34 the incentives were detrimental to CHW performance. In four out of seven studies where baseline remuneration was present, CHWs were found to allocate effort towards incentivized indicators at the expense of other, non-incentivized tasks.28,32,33,39 These findings align with the theory that incentivizing a subset of tasks or outcomes can lead to a reduction in effort devoted to non-contracted outcomes.18 Thus, despite limited information about the context of the studies in our review, it seems that financial incentives need to be approached with caution, regardless of baseline remuneration.

Financial performance-based incentives that showed signs of working were underpinned by a small number of common mechanisms. These included the use of complementary strategies. For instance, in Sierra Leone, giving incentives to supervisors of CHWs stimulated them to boost demand for CHW services.35 Similarly, in India, Anganwadi workers conducted more household visits, while mothers received free recipe books to cook more nutritious food at home.3133 These findings may demonstrate that complementing financial incentives with other sources of motivation of CHWs, such as their supervision network or the community they serve, may further enhance performance.40

Our finding that the size of financial performance-based incentives influenced CHW performance is consistent with existing evidence.41 Large financial incentives may convey positive information to CHWs about the value of their work, resulting in higher effort, while small incentives appear to lack the incentive effect necessary to influence behaviour and are commonly reported as a source of demotivation for CHWs.4244 However, larger performance-based incentives may also detract CHWs’ attention from unrewarded activities.33,45 Additionally, whether the impact of large incentives endures beyond the short-term was not assessed by any of the studies included in this review.6

The mechanisms underpinning the positive impact of non-financial performance-based incentives on CHW performance appear more direct. This type of incentive seems to promote both intrinsic motivation and social recognition (also a well-documented source of motivation).7,46 Indeed, two studies conducted subsequent qualitative research in which CHWs reported that the enhanced social status from receiving non-financial incentives in public was more motivating than the incentives themselves.47,48 This finding may be of particular relevance to volunteer CHW programmes, where performance payments may be more likely to undermine intrinsic motivation.43,49,50 However, recent evidence demonstrates that the design of non-financial incentives is not always straightforward. Rewards may be detrimental to performance if they are not perceived to be fair and objective, or frequent enough to motivate effort.51 Additionally, rewards must be designed with the local context in mind, including how they will address the expectations and motivations of CHWs.40,49,52

Importantly, these findings should not be taken to mean that non-financial performance-based incentives can be seen as a substitute for financial remuneration (and vice versa).13 The need for a mix of incentives to support CHWs is well-documented.4,10,53 However, despite recommendations dating back approximately two decades, we did not find any studies that tested a package of incentives.21,48 Only two of the included studies acknowledged the importance of a mix of incentives, but opted to test non-financial incentives due to concerns about the sustainability of financial incentives.29,38 As countries move to professionalize CHW programmes with appropriate forms of remuneration, research addressing this gap will be increasingly important.

Our review is limited in three main ways. First, other study designs (for example, qualitative) may be more appropriate than intervention studies to capture the complex systems within which incentive schemes are introduced. However, our primary focus was to assess the impact of performance-based incentives.54 This focus may explain why the included studies only partially covered the domains of the CHW performance measurement framework. Second, inconsistent study design precluded a meta-analysis. Lastly, some of the studies included in our review implemented interventions simultaneously with other quality improvement initiatives and it is possible that the impact of the incentive itself was overestimated.

In conclusion, non-financial incentives can be effective at increasing CHW motivation and performance when the incentives promote social recognition. Financial incentives alone can improve CHW service delivery outcomes, but at the risk of unincentivized tasks becoming neglected. The absence of research on a combined package of incentives is notable, particularly as resource-poor countries face challenges to professionalize their CHW programmes with appropriate packages of remuneration. Future research must pay greater attention to the design, context and sustainability of incentives.

Competing interests:

None declared.

References

  • 1.Lewin S, Munabi-Babigumira S, Glenton C, Daniels K, Bosch-Capblanch X, van Wyk BE, et al. Lay health workers in primary and community health care for maternal and child health and the management of infectious diseases. Cochrane Database Syst Rev. 2010. March 17; (3):CD004015. 10.1002/14651858.CD004015.pub3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.International Standard Classification of Occupations: structure, group definitions and correspondence tables. ISCO-08. Volume I. Geneva: International Labour Office; 2012. Available from: https://www.ilo.org/public/english/bureau/stat/isco/isco08/ [cited 2020 Sep 16].
  • 3.Shlonsky A, Condron P, Albers B, Pattuwage L. Optimising community health worker programmes; a search strategy for 15 systematic reviews, developed for the WHO. Victoria: Centre for Evidence and Implementation; 2017. Available from: https://www.who.int/hrh/community/CHWsyst_sev_SearchStrategy.pdf?ua=1 [cited 2021 May 18]. [Google Scholar]
  • 4.Scott K, Beckham SW, Gross M, Pariyo G, Rao KD, Cometto G, et al. What do we know about community-based health worker programs? A systematic review of existing reviews on community health workers. Hum Resour Health. 2018. August 16;16(1):39. 10.1186/s12960-018-0304-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Perry HB. Health for the people: national community health worker programs from Afghanistan to Zimbabwe. Washington, DC: United States Agency for International Development; 2020. Available from: https://pdf.usaid.gov/pdf_docs/PA00WKKN.pdf [cited 2020 Jul 21]. [Google Scholar]
  • 6.Miller G, Babiarz KS. Pay-for-performance incentives in low- and middle-income country health programs. NBER Working Paper No. 18932. Cambridge: National Bureau of Economic Research; 2013. 10.3386/w18932 [DOI] [Google Scholar]
  • 7.Bhattacharyya K, Winch P, LeBan K, Tien M. Community health worker incentives and disincentives: how they affect motivation, retention, and sustainability. Basic Support for Institutionalizing Child Survival Project (BASICS II) for USAID. Arlington: BASICS II; 2001. Available from: https://pdf.usaid.gov/pdf_docs/Pnacq722.pdf [cited 2020 June 30].
  • 8.Diaconu K, Falconer J, Verbel A, Fretheim A, Witter S. Paying for performance to improve the delivery of health interventions in low- and middle-income countries. Cochrane Database Syst Rev. 2021. May 5;5(2):CD007899. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Kovacs RJ, Powell-Jackson T, Kristensen SR, Singh N, Borghi J. How are pay-for-performance schemes in healthcare designed in low- and middle-income countries? Typology and systematic literature review. BMC Health Serv Res. 2020. April 7;20(1):291. 10.1186/s12913-020-05075-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Kok MC, Dieleman M, Taegtmeyer M, Broerse JE, Kane SS, Ormel H, et al. Which intervention design factors influence performance of community health workers in low- and middle-income countries? A systematic review. Health Policy Plan. 2015. November;30(9):1207–27. 10.1093/heapol/czu126 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Glenton C, Colvin CJ, Carlsen B, Swartz A, Lewin S, Noyes J, et al. Barriers and facilitators to the implementation of lay health worker programmes to improve access to maternal and child health: qualitative evidence synthesis. Cochrane Database Syst Rev. 2013. October 8; (10):CD010414. 10.1002/14651858.CD010414 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Ballard M, Montgomery P. Systematic review of interventions for improving the performance of community health workers in low-income and middle-income countries. BMJ Open. 2017. October 25;7(10):e014216. 10.1136/bmjopen-2016-014216 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.WHO guideline on health policy and system support to optimize community health worker programmes. Geneva: World Health Organization; 2018. Available from: http://apps.who.int/iris/bitstream/handle/10665/275474/9789241550369-eng.pdf [cited 2020 May 21]. [PubMed]
  • 14.Scott A, Sivey P, Ait Ouakrim D, Willenberg L, Naccarella L, Furler J, et al. The effect of financial incentives on the quality of health care provided by primary care physicians. Cochrane Database Syst Rev. 2011. September 7; (9):CD008451. 10.1002/14651858.CD008451.pub2 [DOI] [PubMed] [Google Scholar]
  • 15.Flodgren G, Eccles MP, Shepperd S, Scott A, Parmelli E, Beyer FR. An overview of reviews evaluating the effectiveness of financial incentives in changing healthcare professional behaviours and patient outcomes. Cochrane Database Syst Rev. 2011. July 6; (7):CD009255. 10.1002/14651858.CD009255 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Willis-Shattuck M, Bidwell P, Thomas S, Wyness L, Blaauw D, Ditlopo P. Motivation and retention of health workers in developing countries: a systematic review. BMC Health Serv Res. 2008. December 4;8(1):247. 10.1186/1472-6963-8-247 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Frey BS, Jegen R. Motivation crowding theory. J Econ Surv. 2001;15(5):589–611. 10.1111/1467-6419.00150 [DOI] [Google Scholar]
  • 18.Holmstrom B, Milgrom P. Multitask principal-agent analyses: incentive contracts, asset ownership, and job design. J Law Econ Organ. 1991;7(special_issue):24–52. 10.1093/jleo/7.special_issue.24 [DOI] [Google Scholar]
  • 19.Moher D, Liberati A, Tetzlaff J, Altman DG, Group P; PRISMA Group. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med. 2009. July 21;6(7):e1000097. 10.1371/journal.pmed.1000097 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Gadsden T, Mabunda SA, Palagyi A, Maharani A, Sujarwoto S, Baddeley M, et al. Supplementary files for Gadsden et al, 2021 [data repository]. London: figshare; 2021. 10.6084/m9.figshare.14882070.v2 10.6084/m9.figshare.14882070.v2 [DOI]
  • 21.Franco LM, Bennett S, Kanfer R. Health sector reform and public sector health worker motivation: a conceptual framework. Soc Sci Med. 2002. April;54(8):1255–66. 10.1016/S0277-9536(01)00094-6 [DOI] [PubMed] [Google Scholar]
  • 22.Björkman Nyqvist M, Guariso A, Svensson J, Yanagizawa-Drott D. Reducing child mortality in the last mile: experimental evidence on community health promoters in Uganda. Am Econ J Appl Econ. 2019;11(3):155–92. 10.1257/app.20170201 [DOI] [Google Scholar]
  • 23.World Bank country and lending groups. Washington, DC: World Bank; 2021. Available from: https://datahelpdesk.worldbank.org/knowledgebase/articles/906519-world-bank-country-and-lending-groups [cited 2020 Jul 16].
  • 24.Sterne JAC, Savović J, Page MJ, Elbers RG, Blencowe NS, Boutron I, et al. RoB 2: a revised tool for assessing risk of bias in randomised trials. BMJ. 2019. August 28;366:l4898. 10.1136/bmj.l4898 [DOI] [PubMed] [Google Scholar]
  • 25.CASP checklists [internet]. Oxford: Critical Appraisal Skills Programme; 2018. Available from: https://casp-uk.net/casp-tools-checklists/ [cited 2020 Jul 16].
  • 26.Agarwal S, Sripad P, Johnson C, Kirk K, Bellows B, Ana J, et al. A conceptual framework for measuring community health workforce performance within primary health care systems. Hum Resour Health. 2019. November 20;17(1):86. 10.1186/s12960-019-0422-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Binyaruka P, Lohmann J, De Allegri M. Evaluating performance-based financing in low-income and middle-income countries: the need to look beyond average effect. BMJ Glob Health. 2020. August;5(8):e003136. 10.1136/bmjgh-2020-003136 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Bossuroy T, Delavallade C, Pons V. Fighting tuberculosis through community based counsellors: a randomized evaluation of performance based incentives in India. Washington, DC: United States Agency for International Development; 2016. 10.23846/OW31218 [DOI] [Google Scholar]
  • 29.Carmichael SL, Mehta K, Raheel H, Srikantiah S, Chaudhuri I, Trehan S, et al. ; Ananya Study Group. Effects of team-based goals and non-monetary incentives on front-line health worker performance and maternal health behaviours: a cluster randomised controlled trial in Bihar, India. BMJ Glob Health. 2019. August 26;4(4):e001146. 10.1136/bmjgh-2018-001146 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Shapira G, Kalisa I, Condo J, Humuza J, Mugeni C, Nkunda D, et al. Going beyond incentivizing formal health providers: evidence from the Rwanda community performance-based financing program. Health Econ. 2018. December;27(12):2087–106. 10.1002/hec.3822 [DOI] [PubMed] [Google Scholar]
  • 31.Singh P. Performance pay and information: reducing child undernutrition in India. J Econ Behav Organ. 2015;112:141–63. 10.1016/j.jebo.2015.01.008 [DOI] [Google Scholar]
  • 32.Singh P, Masters WA. Impact of caregiver incentives on child health: evidence from an experiment with Anganwadi workers in India. J Health Econ. 2017. September;55:219–31. 10.1016/j.jhealeco.2017.07.005 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Singh P, Mitra S. Incentives, information and malnutrition: evidence from an experiment in India. Eur Econ Rev. 2017;93:24–46. 10.1016/j.euroecorev.2017.01.005 [DOI] [Google Scholar]
  • 34.Wagner Z, Asiimwe JB, Levine DI. When financial incentives backfire: evidence from a community health worker experiment in Uganda. J Dev Econ. 2020;144: 102437. 10.1016/j.jdeveco.2019.102437 [DOI] [Google Scholar]
  • 35.Deserranno E, Kastrau P, León-Ciliotta G. Financial incentives in multi-layered organizations: empirical evidence from the community health worker program in Sierra Leone. Oxford: Economic Development Institutions; 2020. Available from: https://edi.opml.co.uk/wpcms/wp-content/uploads/2020/05/working-paper-Financial-Incentives-in-Multi-layered-organisations-sierra-leone.pdf [cited 2020 July 16]. [Google Scholar]
  • 36.Ashraf N, Bandiera O, Jack BK. No margin, no mission? A field experiment on incentives for public service delivery. J Public Econ. 2014;120:1–17. 10.1016/j.jpubeco.2014.06.014 [DOI] [Google Scholar]
  • 37.Bernal P, Martinez S. In-kind incentives and health worker performance: experimental evidence from El Salvador. J Health Econ. 2020. March;70:102267. 10.1016/j.jhealeco.2019.102267 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Fracchia M, Molina-Millán T, Vicente PC. Incentivizing community health workers in Guinea-Bissau: experimental evidence on social status and intrinsic motivation [internet]. Paper presented at NOVAFRICA Seminar Series 2019–2020. Carcavelos: NOVAFRICA; 2019. Available from https://novafrica.org/research/seminars-novafrica-nova-sbe-2019-2020/ [cited 2021 Aug 4].
  • 39.Khan MY. World Bank blogs: mission motivation and public sector performance: experimental evidence from Pakistan [internet]. Washington, DC: World Bank; 2020. Available from: https://blogs.worldbank.org/impactevaluations/mission-or-money-how-can-public-sector-motivate-employees-perform-their-job-guest [cited 2020 Jul 29]. [Google Scholar]
  • 40.Kok MC, Kane SS, Tulloch O, Ormel H, Theobald S, Dieleman M, et al. How does context influence performance of community health workers in low- and middle-income countries? Evidence from the literature. Health Res Policy Syst. 2015. March 7;13(1):13. 10.1186/s12961-015-0001-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Gneezy U, Rustichini A. Pay enough or don’t pay at all. Q J Econ. 2000;115(3):791–810. 10.1162/003355300554917 [DOI] [Google Scholar]
  • 42.Wahid SS, Munar W, Das S, Gupta M, Darmstadt GL. ‘Our village is dependent on us. That’s why we can’t leave our work’. Characterizing mechanisms of motivation to perform among accredited social health activists (ASHA) in Bihar. Health Policy Plan. 2020. February 1;35(1):58–66. [DOI] [PubMed] [Google Scholar]
  • 43.Ormel H, Kok M, Kane S, Ahmed R, Chikaphupha K, Rashid SF, et al. Salaried and voluntary community health workers: exploring how incentives and expectation gaps influence motivation. Hum Resour Health. 2019. July 19;17(1):59. 10.1186/s12960-019-0387-z [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Singh D, Negin J, Otim M, Orach CG, Cumming R. The effect of payment and incentives on motivation and focus of community health workers: five case studies from low- and middle-income countries. Hum Resour Health. 2015. July 14;13(1):58. 10.1186/s12960-015-0051-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Sherry TB, Bauhoff S, Mohanan M. Multitasking and heterogeneous treatment effects in pay-for-performance in health care: evidence from Rwanda. Am J Health Econ. 2017;3(2):192–226. 10.1162/AJHE_a_00072 [DOI] [Google Scholar]
  • 46.Amare Y. Non-financial incentives for voluntary community health workers: a qualitative study. Working Paper No. 1: The last ten kilometers project. Addis Ababa: The Last Ten Kilometers Project, JSI Research & Training Institute; 2009. Available from: https://publications.jsi.com/JSIInternet/Inc/Common/_download_pub.cfm?id=11053&lid=3 [cited 2020 Jul 8]. [Google Scholar]
  • 47.Grant C, Nawal D, Guntur SM, Kumar M, Chaudhuri I, Galavotti C, et al. ‘We pledge to improve the health of our entire community’: improving health worker motivation and performance in Bihar, India through teamwork, recognition, and non-financial incentives. PLoS One. 2018. August 30;13(8):e0203265. 10.1371/journal.pone.0203265 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Munar W, Wahid SS, Mookherji S, Innocenti C, Curry L. Team- and individual-level motivation in complex primary care system change: a realist evaluation of the Salud Mesoamerica Initiative in El Salvador [preprint]. Gates Open Research 2018. Available from: https://gatesopenresearch.org/articles/2-55 [cited 2020 Jul 8].
  • 49.Glenton C, Scheel IB, Pradhan S, Lewin S, Hodgins S, Shrestha V. The female community health volunteer programme in Nepal: decision makers’ perceptions of volunteerism, payment and other incentives. Soc Sci Med. 2010. June;70(12):1920–7. 10.1016/j.socscimed.2010.02.034 [DOI] [PubMed] [Google Scholar]
  • 50.Kok M, Abdella D, Mwangi R, Ntinginya M, Rood E, Gassner J, et al. Getting more than “claps”: incentive preferences of voluntary community-based mobilizers in Tanzania. Hum Resour Health. 2019. December 17;17(1):101. 10.1186/s12960-019-0438-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Chowdhury R, McKague K, Krause H. How workers respond to social rewards: evidence from community health workers in Uganda. Health Policy Plan. 2021. April 21;36(3):239–48. 10.1093/heapol/czaa162 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Vareilles G, Pommier J, Marchal B, Kane S. Understanding the performance of community health volunteers involved in the delivery of health programmes in underserved areas: a realist synthesis. Implement Sci. 2017. February 16;12(1):22. 10.1186/s13012-017-0554-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Agarwal S, Kirk K, Sripad P, Bellows B, Abuya T, Warren C. Setting the global research agenda for community health systems: literature and consultative review. Hum Resour Health. 2019. March 21;17(1):22. 10.1186/s12960-019-0362-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Kok MC, Broerse JEW, Theobald S, Ormel H, Dieleman M, Taegtmeyer M. Performance of community health workers: situating their intermediary position within complex adaptive health systems. Hum Resour Health. 2017. September 2;15(1):59. 10.1186/s12960-017-0234-z [DOI] [PMC free article] [PubMed] [Google Scholar]

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