Abstract
Background
Universal Health Coverage (UHC) can be achieved by universal access to a solid and resilient people-centred health care system, with Primary Health Care (PHC) as its foundation and strategy. Increased access to PHC occurs when health care services are available, affordable, accessible, acceptable, and perceived appropriate by users. Many studies highlight that health care workers are critical in helping people access, navigate, and interact with PHC services. How the interventions involving health care staff work and under what circumstance remains unclear.
Methods
Through a systematic review and a realist synthesis, we identified and described staff-based interventions impacting UHC through PHC. We conducted the systematic review from inception to June 2021, searching for peer-reviewed studies published in English, using quantitative methods for evaluating interventions.
Results
We identified three Context-Mechanism-Outcome (CMO) configurations: inserting culturally sensitive ad hoc bridge figures, tailoring staff practices to the needs of specified populations, and training as a means for staff reskilling. Inserting ad hoc bridge figures in health care services was successful when they were familiar with the contextual culture and the users’ needs. The second configuration entails interventions where the staff was asked to consider the needs of targeted populations and differentiate strategies by the detected conditions. Finally, the third one consists of specific, ad hoc, and context-based training targeting several stakeholders. Central to this intervention was training for health care bridge figures, since they were explicitly trained before performing their duties to cope with the health care and social needs of the specific groups they intended to serve.
Conclusions
The review highlights that the context and contextual factors should be considered for an intervention to be successful. Hence, it provides policymakers with practical indications for designing staff-based interventions for reaching UHC within PHC services in a given context. Healthcare bridge figures, an umbrella term embracing a variety of selected community health workers, often trained and working in the communities from which they come, increase access to PHC services as they respond to local societal and cultural norms and customs, ensuring community acceptance and ownership.
The United Nations has acknowledged Universal Health Coverage (UHC) as a critical objective [1]. Ensuring UHC means providing all people with access to high-quality health care services according to their needs, without financial hardship. Essential services range from health promotion to prevention, treatment, rehabilitation, and palliative care [2]. UHC is a critical approach that shifts the focus from disease-specific interventions to a people-centred, needs-related health care provision [3]. It is also a target at risk of being neglected, as the priority of the global health community changed because of the SARS-CoV-2 pandemic [4].
UHC does not always entail free access to health care and the form it takes depends on the country-specific health care systems, which may vary from one another by having either public, private, or mixed public/private health insurance systems. Nonetheless, the essence of UHC is the universal access to a solid and resilient people-centred health care system with Primary Health Care (PHC) as its foundation [5,6]. Addressing “access to health” and UHC requires identifying health care needs and determining the patients’ capabilities for seeking, obtaining, or using health care services, while also fulfilling the demand for the services [7]. This multi-dimension goal involves [8-10]:
The services’ availability – the relation of the volume of existing health services and resources to the volume and type of patients' needs.
Economic affordability – the relationship between the prices of services and patients' capability to pay.
The services’ accessibility – the location of health services in relation to the location of patients (patients’ mobility).
Their acceptability – cultural and social factors that affect an individual’s ability to accept or seek healthcare services.
Accommodation – how the resources are organized to accept patients and patients’ perceptions of the appropriateness of these systems.
UHC is not only essential for affordable health care services and strengthening the health care system, but also for achieving equity in social care, public health, and health promotion [4]. Thus, PHC represents the first point of contact between the health care system and the population it intends to serve [11]. Conversely, UHC largely depends on a reliable PHC [12,13]. Improving UHC means solving problems related to the shortage of PHC. There is substantial evidence that enhanced or better access to PHC is associated with decreased emergency department utilization, decreased inpatient admissions, decreased surgeries, and lower costs [14,15]. Ensuring true UHC requires quality PHC designed around people [16].
PHC can be generally defined as a whole-of-society approach to health and well-being centred on the needs and preferences of individuals and communities. It addresses the broader determinants of health and focuses on the comprehensive and interrelated aspects of physical, mental, and social health and well-being, encompassing promotion, prevention, early intervention, treatment of acute conditions, vaccination, management of chronic diseases, and health education [17,18]. By providing care in and throughout a community, PHC addresses individual and family health needs, as well as the broader issues of public health and the needs of defined populations, qualifying for an potentially effective way to achieve health and health care for all [19-21]. PHC thus represents the essential framework to move towards UHC [22]. However, disparities in access to PHC still occur, and many people face barriers that decrease or impair their access to PHC services. Poor or limited access to PHC translates into disparities in health status and outcomes, increased hospitalization rates, augmented use of emergency departments, and reduced cost-effectiveness [23].
According to the definitions of access to UHC and provided PHC, likely improvements of UHC should be contextualized to differing perspectives, health needs, and material and cultural settings of diverse groups in a given society [24]. The context and contextual factors are recognized as critical elements to successful PHC delivery and implementation of health care interventions [25-28]: the theory underpinning our definition of PHC interventions considers them essential for the interventions’ success [29].
Given the growing number of studies on PHC interventions implemented worldwide [19,30,31], aggregating their evidence concerning contextual factors and comprehending their underlying functioning in terms of UHC is desirable. In the context of growing interest on UHC, recent reviews highlighted the importance of understanding the role and effectiveness of UHC interventions. For example, a scoping review identified facilitators and barriers to the use of implementation research in Africa [32]. Another review specified obstacles to access to care, while suggesting specific recommendations for further research [33]. Within this scenario, broadening the breadth of the review to a global level [4] would give an better overall perspective for health care providers and policymakers, since many reviews concentrated on Africa [32-34] or low-income areas or specific countries [35-37].
We selected the interventions involving staffing. There is substantial agreement on economic-related measures being fundamental for ensuring UHC within PHC [35,38-41]. However, while many studies highlight that health care workers are critical in helping people access, navigate, and interact with PHC services [23], how the interventions involving health care staff work and under what circumstances remains unclear.
METHODS
By employing a systematic review, we aimed to retrieve the evidence from studies focusing on staff-based interventions in the context of PHC and UHC. We conducted a realist synthesis for identifying underlying reasons for the success/failure of the collected interventions.
A realist synthesis allows researchers to describe “what works under what circumstances” by disclosing specific interventions' interplay between context, mechanisms, and outcomes [42-44] of particular interventions.
By using a heuristic defined as the context-mechanism-outcome (CMO) configuration, realist synthesis develops evidence-informed theories about the interactions between intervention, mechanisms, and implementation contexts [44]. “Contexts” refer to the backdrop of programmes and research and are broadly understood as any condition that triggers and/or modifies the behaviour of a mechanism [29]. For this review, contexts also encompass whether the country of the intervention’s implementation is a low-, middle-, or high-income country, as well as the population characteristics (general population or vulnerable groups, such as minorities). Mechanisms are “underlying entities, processes, or structures which operate in particular contexts to generate outcomes of interest” [45]. Outcomes result from the interaction between a mechanism and its triggering context. For this review, outcomes were defined either as positive, if they increased access to PHC services, or negative, if they did not increase or unevenly increased access to PHC services.
The main review question was: Which staff-based interventions proved to impact UHC through PHC?
Related sub-questions were also asked:
Which kinds of interventions are selected and implemented to increase access to PHC services?
Which areas of intervention (treatment, follow-up, prevention including screening, general PHC) do they refer to?
Do the interventions target a specific population group?
Which is the role of contextual factors?
The study’s protocol was registered on PROSPERO on April 15, 2021, registration code: CRD42021232293. Reporting for this review followed the RAMESES publication standards for realist synthesis [46] and the PRISMA 2020 Statement [47].
Inclusion and exclusion criteria
We included all the staff-based interventions targeting PHC access in the context of UHC.
“Access to PHC services” was understood as the opportunity to identify health care needs, seek, reach, obtain or use health care services, and fulfil the demand for services. “Intervention” was defined as all the strategies and actions involving specific professionals working for PHC providers for improving access to PHC services (please refer to search element 3 in Table 1 for the complete list of professionals we included).
Table 1.
Medline search strategy
| Search element 1: | Universal health coverage; UHC; Health inequality*; Health equit*; Universal health insurance; Universal health care |
|---|---|
|
Search element 2:
|
Primary health care; Primary care nursing; Physicians, primary care; Primary care |
|
Search element 3:
|
Patient advocacy; Broker; Health broker; Health Service* broker; Community health worker; Community navigat*; Patient navigat*; Lay health work*; Link* to care; Navigat*; Lay worker*; Community health representative*; Community health advocate*; Cultur* broker; Link worker*; Liaison worker*; Care coordinator*; Indigenous health worker*; Patient advocat*; Lay navigator*; Health liaison*; Advocacy for health; Mediation; Enabling; Empowerment |
| Search strategy | universal health coverage[Title/Abstract] OR UHC[Title/Abstract] OR health inequalit*[Title/Abstract] OR health equit*[Title/Abstract] OR “Universal Health Insurance”[Mesh] OR “Universal Health Care”[Mesh]] |
|
AND
| |
| (“Primary Health Care”[Mesh] OR “Primary Care Nursing”[Mesh] OR “Physicians, Primary Care”[Mesh]) OR (primary care[Title/Abstract]) | |
|
AND
| |
| (“Patient Advocacy” [Mesh] OR broker* OR health broker* OR health service* broker OR community health worker* OR community navigat* OR peer navigat* OR patient navigat* OR lay health work* OR link* to care OR Navigat* OR lay worker* OR community health representative* OR community health advocate* OR cultur* broker OR link worker* OR liaison worker* OR care coordinator* OR indigenous health worker* OR patient advocat* OR lay navigator* OR health liaison* OR advocacy for health OR mediation OR enabling OR empowerment) |
We included studies with a trial, quantitative, observational, and longitudinal study design.
We restricted the search to peer-reviewed literature published in English in scientific journals. We did not consider grey literature. No time- or country-related limitations were applied.
Studies have been included and appraised based on relevance and rigor.
Exclusion criteria regarded interventions with only qualitative outcomes or those targeting the paediatric population.
Search strategy
We searched the following databases: Medline/PubMed, Embase, CINAHL, Scopus, Web of Science, and Social Care Online. The database search was performed from inception to June 30th, 2021. The search strategy is shown in Table 1. We analysed the references of identified articles and relevant reviews. We also searched Google Scholar for other potentially relevant studies.
Article selection and data extraction
Three reviewers (CDA, LS, GA) independently determined the study's eligibility by first reading its title and, if it appeared relevant, the abstract. Finally, they reviewed the full text. Eligible studies were designated “thick” for studies rich in evidence on all relevant elements of CMOs, or as “thin” for studies having only sparse data. Any disagreement was solved through consultation with a fourth reviewer (LG).
Study characteristics were extracted into a table to provide a descriptive overview of the interventions based on the context, mechanism, outcome configuration. We extracted the following information:
Study details: authors, year of publication, journal, country of intervention delivery, the underlying definition of PHC, study aims, study design, participant characteristics.
Context: aims of the intervention, type and area of intervention, setting, number of components, contextual factors.
Mechanism: author-identified mechanisms describing how the intervention influenced outcomes, whether the intervention worked for or not.
Outcomes: Methods to evaluate success or lack of success of interventions and contextual factors.
Additional study/information/researcher comments.
Data synthesis and CMOs identification
The studies were analysed using a realist CMO configuration.
We extracted data from each of the included studies and put them into a table. We sought out data explaining what caused an outcome, through which mechanism, and under which context. The key CMOs in all selected studies were mainly identified from the results sections of the articles. The data extraction process was iterative, with repeated discussion among the research team on the initial programme theories. Throughout the process, they were developed further to reflect the evidence from the included studies. Disagreements were solved through group discussions. Finally, we examined our data extraction table to detect patterns across the selected studies. We followed an interpretative approach to analyse how our data compared with our initial programme theories and modified them accordingly.
Data synthesis was undertaken independently by two researchers (CDA, LS) who met up regularly with the research team to discuss their ongoing analysis.
Risk of bias
The RAMESES quality assessment training materials and reporting guidelines were followed to assess the included studies' risk of bias. CD and LS appraised studies based on relevance by determining the extent to which a study could contribute to CMO theory building and rigor, which affects the validity of the evidence. Disagreements were resolved through discussion with the research team.
RESULTS
31 studies were included, with 26 categorized as thick and five as thin. A PRISMA 2020 flow diagram [47] for the synthesis process is provided in Figure 1.
Figure 1.
PRISMA 2020 Statement Flow Diagram.
Of the 31 selected articles, 21 were settled in high-income countries, six in middle-income and upper-middle income countries, and four in low-income countries. Eight studies were described by CMO 1, eight by CMO 2, three by CMO 3. Seven were described by CMO 1 and CMO 3, three by CMO 1 and CMO 2, and two by CMO 2 and CMO 3.
Most interventions were targeted at vulnerable groups. Specifically, 18 interventions addressed vulnerable groups, eight address ethnic groups, and eight address the general population.
Regarding the area of intervention, 21 studies addressed prevention, including screening, 13 addressed treatment, four addressed follow-up, 11 addressed general primary care (see Table 2).
Table 2.
Included studies’ characteristics
| Thick/thin |
Study design |
Income |
Country | Population |
Area of intervention |
CMO |
Outcome |
|||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Thick
|
Thin
|
High
|
Middle
|
Low
|
|
General population
|
Vulnerable
|
Ethnic minorities
|
Prevention & screening
|
Treatment
|
Follow-up
|
General
|
1
|
2
|
3
|
Positive
|
Negative
|
|
| Franz et al. [2020]. Community-based outreach associated with increased health utilization among Navajo individuals living with diabetes: a matched cohort study [48] | ||||||||||||||||||
|
|
|
Observational cohort study |
Y |
|
|
United States |
|
|
Y |
|
Y |
Y |
Y |
Y |
|
Y |
Y |
|
| Kósa et al. [2020]. Health mediators as members of multidisciplinary group practice: lessons learned from a primary health care model in Hungary [49] | ||||||||||||||||||
| Y |
|
Quantitative analysis |
Y |
|
|
Hungary |
|
|
Y |
Y |
|
|
|
Y |
|
|
Y |
|
| Silva-Tinoco et al. [2020]. Role of social and other determinants of health in the effect of a multicomponent integrated care strategy on type 2 diabetes mellitus [50] | ||||||||||||||||||
| Y |
|
Before-and-after design |
|
Y |
|
Mexico |
|
Y |
|
Y |
|
|
|
|
|
Y |
Y |
|
| Vieira-Meyer et al. [2020]. Variation in primary health services after implementation of quality improvement policy in Brazil [51] | ||||||||||||||||||
|
|
Y |
Observational study |
|
Y |
|
Brazil |
Y |
|
|
|
|
|
Y |
|
Y |
|
|
Y |
| Baghirov et al. [2019] Achieving UHC in Samoa through revitalizing PHC and reinvigorating the role of village women groups [52] | ||||||||||||||||||
| Y |
|
Commentary of intervention |
|
Y |
|
Samoa |
Y |
|
|
Y |
Y |
|
|
Y |
|
|
Y |
|
| Lawrence et al. [2019]. Facilitating equitable prevention and management of gout for Maori in Northland, New Zealand, through a collaborative primary care approach [53] | ||||||||||||||||||
| Y |
|
Open evaluation based on data collected from patients enrolled in the programme |
Y |
|
|
New Zealand |
|
|
Y |
Y |
Y |
|
|
Y |
|
Y |
Y |
|
| Lomonaco-Haycraft et al. [2019]. Integrated perinatal mental health care: a national model of perinatal primary care in vulnerable populations [54] | ||||||||||||||||||
| Y |
|
Intervention evaluation |
Y |
|
|
United States |
|
Y |
|
Y |
Y |
|
|
|
|
Y |
Y |
|
| Mercer et al. [2019]. Effectiveness of Community-Links Practitioners in Areas of High Socioeconomic Deprivation [55] | ||||||||||||||||||
| Y |
|
A quasi-experimental cluster-randomized controlled trial |
Y |
|
|
Scotland |
|
Y |
|
Y |
|
|
Y |
Y |
|
|
Y |
|
| Andrade et al. [2018]. Brazil's Family Health Strategy: Factors associated with programme uptake and coverage expansion over 15 y [1998-2012] [56] | ||||||||||||||||||
|
|
Y |
Intervention evaluation |
|
Y |
|
Brazil |
Y |
|
|
|
|
|
Y |
|
Y |
|
Y |
Y |
| Durovni et al. [2018]. The impact of the Brazilian Family Health Strategy and the conditional cash transfer on tuberculosis treatment outcomes in Rio de Janeiro: an individual-level analysis of secondary data [57] | ||||||||||||||||||
|
|
Y |
Individual-level analysis of secondary data |
|
Y |
|
Brazil |
|
Y |
|
Y |
Y |
|
|
|
Y |
|
|
Y |
| Gabrielli et al. [2018]. Cervical cancer prevention in Senegal: An International Cooperation Project Report [58] | ||||||||||||||||||
|
|
Y |
Intervention - cervical cancer screening programme |
|
|
Y |
Senegal |
Y |
|
|
Y |
|
|
|
|
Y |
Y |
|
Y |
| Hodgins et al. [2018]. The effectiveness of Dental Health Support Workers at linking families with primary care dental practices: a population-wide data linkage cohort study [59] | ||||||||||||||||||
| Y |
|
Population-wide data linkage cohort study |
Y |
|
|
Scotland |
Y |
|
|
Y |
Y |
|
Y |
Y |
|
|
Y |
|
| Hylviu et al. [2018]. Saving women's lives from cervical cancer: Promoting a cost-effective cervical cancer screening tool in Rural Albania [60] | ||||||||||||||||||
| Y |
|
Intervention evaluation |
|
Y |
|
Albania |
|
Y |
|
Y |
|
|
|
|
Y |
Y |
Y |
|
| Gourley et al. [2017]. Scotland's National Links Worker Programme: mitigating negative impacts of social determinants of health through community connected general practice [61] | ||||||||||||||||||
| Y |
|
Intervention evaluation |
Y |
|
|
Scotland |
|
Y |
|
Y |
|
|
Y |
Y |
|
|
Y |
|
| Lofters et al. [2017]. Lay health educators within primary care practices to improve cancer screening uptake for South Asian patients: challenges in quality improvement [62] | ||||||||||||||||||
| Y |
|
Pilot study |
Y |
|
|
Canada |
|
|
Y |
Y |
|
|
|
Y |
|
|
|
Y |
| Shavit et al. [2017]. Transitions Clinic Network: Challenges and Lessons in Primary Care for People Released from Prison [63] | ||||||||||||||||||
| Y |
|
Through TCN data, assessed the impact of early engagement in primary care and referral from correctional systems to TCN on the use of acute care and recidivism |
Y |
|
|
United States |
|
Y |
|
Y |
Y |
Y |
|
|
Y |
|
Y |
|
| Spitzer-Shohat et al. [2017]. Reducing inequity in primary care clinics treating low socioeconomic Jewish and Arab populations in Israel [64] | ||||||||||||||||||
| Y |
|
Evaluation of an intervention for inequity-reduction + semi structured interviews |
Y |
|
|
Israel |
|
Y |
|
|
|
|
Y |
Y |
|
Y |
Y |
|
| Swift [2017]. People powered primary care: learning from Halton [65] | ||||||||||||||||||
| Y |
|
Intervention evaluation |
Y |
|
|
England |
Y |
|
|
|
|
|
Y |
Y |
Y |
|
Y |
|
| Woringer et al. [2017]. Evaluation of community provision of a preventive cardiovascular programme - the National Health Service Health Check in reaching the under-served groups by primary care in England: cross-sectional observational study [66] | ||||||||||||||||||
| Y |
|
Cross-sectional observational study |
Y |
|
|
England |
|
Y |
Y |
Y |
|
|
|
|
Y |
|
Y |
|
| Bhatta and Liabsuetrakul [2016]. Social self-value intervention for empowerment of HIV infected people using antiretroviral treatment: a randomized controlled trial [67] | ||||||||||||||||||
| Y |
|
An open-label randomized controlled trial |
|
|
Y |
Nepal |
|
Y |
|
|
Y |
|
Y |
|
Y |
|
Y |
|
| Brothers et al. [2016]. Young Women Living with HIV: Outcomes from a Targeted Secondary Prevention Empowerment Pilot Trial [68] | ||||||||||||||||||
| Y |
|
Behavioral intervention |
Y |
|
|
United States |
|
Y |
|
Y |
|
|
|
|
|
Y |
Y |
|
| Kane et al. [2016]. Improving diabetes care and outcomes with community health workers [69] | ||||||||||||||||||
| Y |
|
Mixed methods |
Y |
|
|
United States |
|
Y |
|
Y |
Y |
Y |
|
Y |
|
Y |
Y |
|
| Percac-Lima et al. [2016]. Patient Navigation for Comprehensive Cancer Screening in High-Risk Patients Using a Population-Based Health Information Technology System A Randomized Clinical Trial [70] | ||||||||||||||||||
| Y |
|
Randomized clinical trial |
Y |
|
|
United States |
|
Y |
Y |
Y |
|
|
|
Y |
|
|
Y |
|
| Berkowitz et al. [2015]. Building Equity Improvement into Quality Improvement: Reducing Socioeconomic Disparities in Colorectal Cancer Screening as Part of Population Health Management [71] | ||||||||||||||||||
| Y |
|
Interrupted time series analysis before and after a population management intervention |
Y |
|
|
United States |
|
Y |
|
Y |
|
|
|
Y |
Y |
|
Y |
|
| Percac-Lima et al. [2015]. Patient Navigation to Improve Follow-Up of Abnormal Mammograms Among Disadvantaged Women [72] | ||||||||||||||||||
| Y |
|
Evaluation of the impact of a PN programme on follow-up after an abnormal mammogram |
Y |
|
|
United States |
|
Y |
|
Y |
|
Y |
|
Y |
|
Y |
Y |
|
| Reeve et al. [2015]. Community participation in health service reform: The development of an innovative remote Aboriginal primary health care service [73] | ||||||||||||||||||
| Y |
|
Descriptive mixed-method study |
Y |
|
|
Australia |
|
|
Y |
Y |
Y |
|
|
Y |
Y |
|
Y |
|
| Percac-Lima et al. [2014]. The Longitudinal Impact of Patient Navigation on Equity in Colorectal Cancer Screening in a Large Primary Care Network [74] | ||||||||||||||||||
| Y |
|
Culturally tailored CRC screening PN programme |
Y |
|
|
United States |
|
Y |
Y |
Y |
|
|
|
Y |
|
Y |
Y |
|
| Grasdal and Monstad [2011]. Inequity in the use of physician services in Norway before and after introducing patient lists in primary care [75] | ||||||||||||||||||
| Y |
|
Measure horizontal inequity by concentration indices and investigate changes in inequity over time |
Y |
|
|
Norway |
Y |
|
|
|
|
|
Y |
|
Y |
|
Y |
|
| Celletti et al. [2010]. Can the deployment of community health workers for the delivery of HIV services represent an effective and sustainable response to health workforce shortages? Results of a multi-country study [76] | ||||||||||||||||||
| Y |
|
Multi-country study |
|
|
Y |
Brazil, Ethiopia, Malawi, Namibia, Uganda |
|
Y |
|
|
Y |
|
Y |
Y |
|
|
Y |
|
| Sarli et al. [2010]. Training program for community health workers in remote areas in Senegal. First experience [77] | ||||||||||||||||||
|
|
Y |
Training programme and post-intervention evaluation |
|
|
Y |
Senegal |
Y |
|
|
Y |
Y |
|
|
Y |
|
Y |
|
Y |
| Rubenstein et al. [1996]. Evaluation of the VA's pilot program in institutional reorganization toward primary and ambulatory care .1. Changes in process and outcomes of care [78] | ||||||||||||||||||
| Y |
|
Intervention with surveys to randomly selected males in 2 phases, practice-based and visit-based |
Y |
|
|
United States |
|
Y |
|
|
Y |
|
|
|
Y |
|
Y |
Y |
|
Total
| ||||||||||||||||||
|
26
|
5
|
21
|
6
|
4
|
|
8
|
18
|
8
|
22
|
13
|
4
|
11
|
18
|
13
|
12
|
26
|
7
|
|
|
Thick
|
Thin
|
High
|
Middle
|
Low
|
General population
|
Vulnerable
|
Ethnic minorities
|
Prevention & screening
|
Treatment
|
Follow-up
|
General
|
1
|
2
|
3
|
Positive
|
Negative
|
||
|
Thick/Thin
|
Income
|
Population
|
Area of intervention
|
CMO
|
Outcome
|
|||||||||||||
CMOC – context-mechanism-outcome configuration
The programme theories for each mechanism were presented below and summarized in Table 3. It must be noted that these programme theories were not mutually exclusive, with one context and/or mechanism feeding into another or becoming an outcome of a third. However, they have been separated here for clarity.
Table 3.
Summary of the three context-mechanism-outcome configurations
| CMO title | CMO 1 – Health bridge figures | CMO 2 – Tailoring practices | CMO 3 – Training |
|---|---|---|---|
|
Context
|
High income countries: general population [59,65], ethnic minorities [48,49,53,62,70,73,74], fragile and vulnerable [55,61,64,69-72,74]. |
High-income: general population [65,75], ethnic minorities [66,73], fragile and vulnerable [63,66,71,78]. |
High income countries: ethnic minorities [48,53], fragile and vulnerable [54,64,68-70,72,74]. |
| Middle-income and upper-middle-income countries: general population [52]. |
Middle-income and upper-middle income: general population [51,56], fragile and vulnerable [57,60]. |
Middle-income countries: fragile and vulnerable [50,60]. |
|
| Low-income countries: general population [77], fragile and vulnerable [76]. |
Low-income countries: general population [58], fragile and vulnerable [67]. |
Low-income: general population [58,77] |
|
|
Mechanism
|
To insert an ad hoc bridge figure in the health care services familiar with the contextual culture and the users' needs. |
Interventions where the staff was asked to consider the needs of targeted populations and differentiate strategies by the detected conditions. |
Specific, ad hoc, and contexts-based training targeting several stakeholders, particularly health bridges. |
|
Positive outcomes
|
Increased access to PHC2 services [48,49,53,55,59,61,64,65,70-74,76], favoured health equity and decreased barriers of access [53,59,61,64,65,69,70,72-74], favoured empowerment and engagement of service users [48,49,52,69] |
Increased access to PHC services [56,57,60,63,65,66,71,75,78], favoured health equity and decreased barriers of access [56,63,65-67,75], favoured empowerment and engagement of service users [60,66] |
Increased access to PHC services [48,53,54,60,72], favoured health equity and decreased barriers of access [53,54,64,69,72,74], favoured empowerment and engagement of service users 48,50,60,68,69] |
|
Negative outcomes
|
Did not increase access to PHC services or unevenly raised access [62,77] |
Did not increase access to PHC services or unevenly increased access [51,56-58] |
Did not increase access to PHC services [58,77] |
| n of articles | 18/31 | 13/31 | 12/31 |
CMOC – context-mechanism-outcome configuration, PHC – primary health care
Before moving to the CMOs, we must present some underlying definitions, which we outlined in Table 4.
Table 4.
Working definitions of main concepts from the realist synthesis
| Vulnerable – Vulnerability: | In this study, we referred to groups experiencing “vulnerability” or being “vulnerable” to express that some groups within societies are exposed to contextual conditions that place them more at risk than the rest of the population [ 79 ]. This follows a Determinants of Health approach, recognizing that daily life's structural determinants and conditions led to health inequalities and inequities between and within countries [ 80 ]. We focused on groups whose demographic, geographic, economic, and/or cultural characteristics may impede or compromise their access to PHC1 services. |
|---|---|
|
Ethnic group:
|
An ethnic minority is a group of people who differ in race or color or national, religious, or cultural origin from the dominant group — often the majority population — of the country in which they live. |
|
Equity:
|
Following Whitehead [81]: “Equity in health implies that ideally, everyone should have a fair opportunity to attain their full health potential. More pragmatically, none should be disadvantaged from achieving this potential if it can be avoided.” For this study, equity in health is the absence of systematic disparities in health between groups with different levels of underlying social advantage/disadvantage. Inequalities in health care systematically expose people who are already vulnerable to further disadvantages concerning their health. |
| Access to health: | For this study, access to health is the opportunity to identify health care needs, seek health care services, reach, obtain or use health care services, and have a demand for services fulfilled [7]. |
PHC – primary health care
CMO 1: Culturally sensitive ad hoc bridge figure (n = 18)
The mechanism, addressed by 18 papers [48,49,52,53,55,59,61,62,64,65,69-74,76,77], required an ad hoc bridge figure in the health service familiar with the contextual culture and the users’ needs.
Ad hoc figures included community health workers, health mediators, health representatives, health navigators, and village workers. We also noted that this intervention could have been performed by strengthening the capacities of figures already existing in the team. Generally, these figures received specific training, and they usually came from their communities. They knew the specific health needs and culture for bridging the gap between individuals and communities and favoured access to appropriate PHC.
Health bridge figures performed different tasks and respond to different needs. For example, they linked individuals or groups (families, chronic patients) to appropriate health services [48,49,59,61], they supported patients with specific health needs (chronic patients, HIV patients) with treatment and follow-up [69,76], they facilitated communication between patients and services by speaking in their native language [62,72], and they collaborated with the existing health teams to favour health and cultural understanding [64,65].
Except for three studies [57,76,77], this intervention was primarily implemented in high-income countries, under the direction or the support of the national or local health system.
Most of the interventions targeted vulnerable and ethnic groups and were specifically designed to meet those groups’ health and cultural needs.
The introduction of ad hoc health bridge figures and/or the strengthening capacities of figures already existing in the team increased access to PHC services [48,49,53,55,59,61,64,65,70-74], fostered health equity and decreased barriers of access [53,59,61,64,65,69,70,72-74], and favoured empowerment and engagement of service users [48,49,52,69].
By inserting ad hoc bridge figures into the system, several barriers decreased. For example, some studies [59,61,70,72,74] represented cases of reduced barriers in terms of accessibility and acceptability. Three studies [70,72,74] also concerned reduced barriers of accommodation and availability.
All studies discussing this mechanism reported positive outcomes, except for two studies [62,77] which noted that the intervention was unsuccessful and/or it unevenly increased access to PHC. Specifically, one study [62] reported that the intervention was ineffective and too time-consuming. In contrast, according to the second study [77], the intervention was not sustainable in the middle- and long-term. It was not promoted by the local health care system but by an external organization. Therefore, it was not understood by the local population.
The most reported area of intervention addressed prevention, including screening (n = 17), treatment (n = 8), general primary care (n = 7), and follow-up (n = 3).
CMO 2: Tailoring staff’s practices to the needs of specified populations (n = 13)
This mechanism has been addressed by 13 studies [51,56-58,60,63,65-67,71,73,75,78].
It consisted of interventions where the staff was asked to consider the needs of targeted populations and differentiate strategies following the detected needs.
For example, a study [66] described the dispatch of health staff to communities with the aim of raising awareness of cardiovascular disease prevention in a single consultation without pre-arranged appointments.
In a study on reducing disparities in colorectal cancer screening [71], authors required health staff to integrate information technology services within their practices to facilitate contact with patients and increase screening rates. In contrast, another study [75] introduced a patient list system for general practitioners to improve the stability of the patients-doctors relationship and ensure equity in the use of health services.
One study [63] addressed the creation of a consortium of PHC clinics to support chronically ill prisoners who were recently released, while another study [78] regarded the re-modulation of staff activities of an academic Veteran Affairs medical centre towards PHC.
This intervention was primarily implemented in high-income countries [63,65,66,71,73,75] and mainly targeted vulnerable groups and ethnic ones. Four studies were set in middle and upper-middle-income countries [51,56,57,60], while two were in low-income countries [58,67]. Most actions were directly promoted and implemented by the national or local health care system.
The mechanism allowed health care systems to increase access to PHC services [56,57,60,63,65,66,71,75,78], foster health care equity, and decrease barriers to access [56,63,65-67,75]. Specifically, those barriers pertained to the following dimensions: affordability and availability [56,57,60], accessibility [78], and accommodation [66]. The mechanism also favoured empowerment and engagement of service users [60,66].
All studies discussing this mechanism reported positive outcomes, except for four studies [51,56-58] in which authors noted that the intervention was unsuccessful and/or unevenly increased access to PHC.
Three studies [51,56,57] reported ineffective interventions: they were designed for a general target and not for a specific one. Hence, they did not meet tailored needs, while the fourth study [58] reported an intervention that did not fulfil terms of local economic sustainability.
The most reported area of intervention was prevention, including screening (n = 8), treatment (n = 5), general primary care (n = 5), and follow-up (n = 1).
CMO 3: Training as the means for staff reskilling (n = 12)
12 studies addressed this mechanism [48,50,53,54,58,60,64,68,69,72,74,77].
The mechanism consisted of specific and context-based training targeting several stakeholders. Central to this intervention was training for health care bridge figures, since they were explicitly trained before performing their duties to cope with the health and social needs of the specific groups they intended to serve [48,53,69,72,74,77]. Nonetheless, training was also designed for other health professionals [54,58,60,64]. In addition, training involving users, particularly chronic patients and communities, was also reported, and was aimed at educating them to perform self-care activities [50,60,68].
Except for four studies [50,58,60,77], this intervention was mainly implemented in high-income countries, with most actions designed to meet vulnerable groups' health and cultural needs.
Specific, needs-tailored and context-based training increased access to PHC services [48,53,54,60,72], fostered health equity and decreased barriers of access [53,54,64,69,72,74], and favoured empowerment and engagement of service users [48,50,60,68,69].
All studies discussing this mechanism reported positive outcomes, except for two studies [58,77]. One study [77] was unsustainable, as it was not promoted by the local health care system but by an external organization. Hence, it was too distant from the needs and understanding of the local community. A second study [58] reported an intervention that did not fulfil terms of local economic sustainability.
The most reported area of intervention was prevention, including screening (n = 12), treatment (n = 5), follow-up (n = 3), and general primary health care (n = 2).
DISCUSSION
This review aimed to collect and discuss interventions improving access to PHC services to achieve UHC and understand the reasons for the selected interventions' success or lack thereof. Consistent with scientific literature [19,25-29,82], the underpinning theory that guided our analysis is that, for an intervention to be successful, it must consider the context and its contextual factors. Intervention, mechanism, and context are highly intertwined, with all three interacting and influencing each other [29,83].
It was significant that five studies included in the synthesis reported only outcomes of implementing PHC interventions without explaining how or why they occurred. Similarly, some discussed the contexts that influenced the intervention but failed to explain how these conditions and other contextual factors interacted with mechanisms to produce specific outcomes.
Through this systematic review and realist synthesis, we could identify 3 CMO configurations:
CMO 1: Culturally sensitive ad hoc bridge figures.
CMO 2: Tailoring staff’s practices to the needs of specified populations.
CMO 3: Training as the means for staff reskilling.
It is crucial to note that the CMOs were not mutually exclusive, with one context and/or mechanism feeding into another or becoming an outcome of a third. Also, it is worth noting that many studies fell into more than one CMO, with seven studies [48,53,64,69,72,74,77] in CMO 1 and CMO 3, three studies [65,71,73] being encompassed by CMO 1 and CMO 2, and two studies [58,60] described by both CMO 2 and CMO 3. Eight studies [49,52,55,59,61,62,70,76] were only described by CMO 1, eight studies [51,56,57,63,66,67,78] were only described by CMO 2, and three studies [50,54,68] were only described by CMO 3.
From the studies analysed in this review, the most reported intervention was the one described by CMO 1 (n = 18). Healthcare bridges or figures, an umbrella term embracing a variety of selected community health workers, often trained and working in the communities from which they come, increase access to PHC services as they respond to local societal and cultural norms and customs, ensuring community acceptance and ownership. Scientific literature is rich in studies confirming that health bridges can successfully increase access to PHC, especially for vulnerable groups [84-87]. Further, health bridges can be used in response to acute shortages of health workers [88]. CMO 1 is also the most represented in the literature regarding contextual factors for successful and unsuccessful interventions.
Mechanisms encompassed by CMO 2 and CMO 3 are defined in scientific literature as potentially successful interventions for increasing access to PHC. Authors [89,90] described interventions focused on entrusting specific tasks or re-organizing the existing PHC system. In contrast, authors such as Laverack [91] and Caudill et al. [92] reported the importance of empowering health professionals and users through ad hoc training developed upon their specific needs.
Most reported interventions of all CMOs took place in high-income countries and were mainly targeted at vulnerable groups, including ethnic ones. To implement successful and sustainable interventions, it is necessary to have financial and organizational resources. High-income countries have more economical and organizational resources available and, therefore, a greater possibility of developing sustainable interventions. On the other hand, middle- and low-income countries have less economic and organizational resources and consequently a lower opportunity of implementing successful and sustainable interventions. The risk is to start interventions that cannot be continued because of a lack of resources, as was done in the case of the studies by Sarli et al. [77] and by Gabrielli et al. [58], both set in Senegal. Consistently, interventions being supported or implemented by the country’s health organization or in partnership with it have more chances to be successful and sustainable, while interventions fostered by external stakeholders, such as non-governmental organizations, have fewer chances of success, as in the case of the aforementioned studies [58,77].
Regarding the area of intervention, notwithstanding the mechanism nor the country’s level of income, most of the reported studies addressed prevention or/and general PHC actions. This result is not surprising given that both are pivotal pillars of PHC and are strongly fostered by the World Health Organisation (WHO) [2].
Following our theoretical perspective and assumptions, context and contextual factors played a fundamental role in determining the success of an intervention [93]. Regardless of the mechanism, all successful interventions considered the context and its contextual elements by tailoring actions to their target's specific needs and peculiarities, confirming our underpinning theory. These interventions increased access to PHC, raised equity, and reduced health barriers by being so context specific. For example, two studies [59,61] encompassed by CMO 1, through the introduction of the ad hoc health bridge figures in the system, managed to increase access and equity by reducing barriers relating to the dimensions of accessibility and acceptability. On the contrary, interventions that did not consider the context and the contextual factors and generalized their target were not successful, for example, three studies [51,56,57] whose interventions were addressed to the general population and not to a specific group.
The culturally sensitive interventions we discussed involved trained health care workers who can guarantee equity in social care access and promote “empowerment of people, families, and communities so that they can take control of their health and health care” [13]. All the interventions targeting health care services’ acceptability and social determinants, and cultural barriers were strongly context-dependent, like the CMOs we defined.
It should also be noted that those interventions can be profitably combined with other ones for addressing UHC. Investments proved to improve PHC services’ availability for UHC [94], which also benefits from integrating public and private services [95]. Contextual factors are still to be taken into account when developing a fair and sustainable health financing system, because to “ensure that the mechanisms chosen are aligned with country-specific economic, institutional, and cultural characteristics, policymakers need to determine which measures constitute the best or most acceptable means in their specific countries” [95]. Improving capacity and infrastructure, including the workforce, as we have described, especially at the frontline, means strengthening essential PHC and public health functions and moving closer to achieving UHC [13,34].
Scientific literature shows that community-based interventions successfully improve health care access, use, and outcomes when integrated with facility-based services [12]. Community involvement is the cornerstone for developing local, equitable, and integrated PHC, with community members regarded not as passive recipients, but as active leaders in their health [96]. As it emerged from the review, it is fundamental to actively involve the communities by organizing and implementing interventions that specifically answer to their needs by inserting ad hoc culturally sensitive bridge figures (CMO 1), by tailoring staff’s practices to the needs of specified populations (CMO 2), and by training as the means for staff reskilling (CMO 3).
This reasoning is strongly connected with the theme of social determinants of health. Improving PHC needs a multisectoral approach that addresses social (physical and structural) determinants of health [97]. To improve population health, health care equity needs to become a priority in the health sector, and measures to reduce disparities must be integrated into health programmes and services [98]. Interventions that take a holistic approach to health, such as women-focused poverty reduction programmes that include government and civil society institutions, have decreased child mortality and increased equity [99]. Similarly, interventions focused on education and empowerment [50,52], or interventions focused on decreasing barriers [62], paired with the introduction of lay health workers speaking in the language of the minority group, resulted in increased access, changed behaviours, and increased equity.
Review limitations
The generalizability of the results is limited by the small number of studies identified in the review. Nonetheless, the breath of CMOs, given the diversity of countries where actions were implemented in terms of income levels and health care and cultural settings, can provide valuable indications for the global debate around UHC. Other limitations of the review should be noted. We did not include grey literature, which could amplify data, especially concerning negative results or outcomes. Finally, the heterogeneity of the included studies’ designs prevented us from comparing their results in a quantitative/statistical manner.
CONCLUSIONS
This review provides policymakers with practical indications for designing potentially successful staff-based interventions to increase PHC access for achieving UHC.
Staff-based interventions come with investments, so middle- and high-income countries may benefit from the implementation of such interventions. In this review, low-income countries are under-represented in the included articles. Nonetheless, more research concerning intervention on PHC access in these settings is desirable. In addition, further research om how evidence in this field influences and is taken into account by policies to achieve UHC should be conducted [100].
The realist synthesis confirms that for such an intervention to be successful, the context and contextual factors regarding the needs of the group it intends to target should be considered. Further, it highlights that for an intervention to have more chances of success and sustainability, it must be supported or implemented by the country's health care organization where the intervention occurs.
Footnotes
Funding: This work received no financial support.
Authorship contribution: CD, LS, and LG designed the research. MCB provided conceptual consultation and assistance with developing the search strategy. CD, LS, and GA conducted title and abstract screening. CD and LS conducted full-text screening, data extraction, realist analysis. All doubts were thoroughly discussed with LG. CD and LG contributed equally to the definition of the manuscript. CD wrote the manuscript and LG revised it. All authors read and critically edited the manuscript. All authors approved the final version of the manuscript.
Competing interest: The authors completed the ICMJE Unified Competing Interest Form (available upon request from the corresponding author) and declare no conflicts of interest.
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