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Community health workers involvement in preventative care in primary healthcare: a systematic scoping review.

ABSTRACT: OBJECTIVES:To review effective models of community health worker (CHW) involvement in preventive care for disadvantaged culturally and linguistically diverse (CALD) patients in primary healthcare (PHC) that may be applicable to the Australian context. DESIGN:Systematic scoping review. DATA SOURCES:The studies were gathered through searching Medline, EMBASE, EMCARE, PsycINFO, CINAHL and online portals of relevant organisations. ELIGIBILITY CRITERIA:All selected studies were original research studies which essentially evaluated preventive intervention undertake by CHWs in PHC. The intervened population were adults with or without diagnosed chronic health disease, culturally and linguistically diverse, or vulnerable due to geographic, economic and/or cultural characteristics that impede or compromise their access to healthcare. DATA EXTRACTION AND SYNTHESIS:Data extraction was undertaken systematically in an excel spreadsheet while the findings were synthesised in a narrative manner. The quality appraisal of the selected studies was performed using effective public health practice project quality assessment tool. RESULTS:A total of 1066 articles were identified during the initial search of six bibliographic databases. After screening the title, abstract and full text, 37 articles met the selection and methodological criteria and underwent data extraction. A high-quality evidence-base supporting the positive impact of CHWs supporting patients' access to healthcare and influencing positive behaviour change was found. Positive impacts of CHW interventions included improvements in clinical disease indicators, screening rates and behavioural change. Education-focused interventions were more effective in improving patient behaviour, whereas navigation interventions were most effective in improving access to services. Implementation was enhanced by cultural and linguistic congruence and specific training of CHWs in the intervention but reduced by short duration interventions, dropouts and poor adherence of patients. CONCLUSION:The evidence generated from this systematic scoping review demonstrates the contribution of CHWs to improving access to preventive care for patients from CALD and disadvantaged backgrounds by providing both education and navigational interventions. More research is needed on CHW training and the incorporation of CHWs into primary health care (PHC) teams.

SUBMITTER: Sharma N

PROVIDER: S-EPMC6937114 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature

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Community health workers involvement in preventative care in primary healthcare: a systematic scoping review.

Sharma Nila N Harris Elizabeth E Lloyd Jane J Mistry Sabuj Kanti SK Harris Mark M

BMJ open 20191217 12

<h4>Objectives</h4>To review effective models of community health worker (CHW) involvement in preventive care for disadvantaged culturally and linguistically diverse (CALD) patients in primary healthcare (PHC) that may be applicable to the Australian context.<h4>Design</h4>Systematic scoping review.<h4>Data sources</h4>The studies were gathered through searching Medline, EMBASE, EMCARE, PsycINFO, CINAHL and online portals of relevant organisations.<h4>Eligibility criteria</h4>All selected studie ...[more]

PMID: 31852698

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Project description:BackgroundResearch on the integration of artificial intelligence (AI) into community-based primary health care (CBPHC) has highlighted several advantages and disadvantages in practice regarding, for example, facilitating diagnosis and disease management, as well as doubts concerning the unintended harmful effects of this integration. However, there is a lack of evidence about a comprehensive knowledge synthesis that could shed light on AI systems tested or implemented in CBPHC.ObjectiveWe intended to identify and evaluate published studies that have tested or implemented AI in CBPHC settings.MethodsWe conducted a systematic scoping review informed by an earlier study and the Joanna Briggs Institute (JBI) scoping review framework and reported the findings according to PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analysis-Scoping Reviews) reporting guidelines. An information specialist performed a comprehensive search from the date of inception until February 2020, in seven bibliographic databases: Cochrane Library, MEDLINE, EMBASE, Web of Science, Cumulative Index to Nursing and Allied Health Literature (CINAHL), ScienceDirect, and IEEE Xplore. The selected studies considered all populations who provide and receive care in CBPHC settings, AI interventions that had been implemented, tested, or both, and assessed outcomes related to patients, health care providers, or CBPHC systems. Risk of bias was assessed using the Prediction Model Risk of Bias Assessment Tool (PROBAST). Two authors independently screened the titles and abstracts of the identified records, read the selected full texts, and extracted data from the included studies using a validated extraction form. Disagreements were resolved by consensus, and if this was not possible, the opinion of a third reviewer was sought. A third reviewer also validated all the extracted data.ResultsWe retrieved 22,113 documents. After the removal of duplicates, 16,870 documents were screened, and 90 peer-reviewed publications met our inclusion criteria. Machine learning (ML) (41/90, 45%), natural language processing (NLP) (24/90, 27%), and expert systems (17/90, 19%) were the most commonly studied AI interventions. These were primarily implemented for diagnosis, detection, or surveillance purposes. Neural networks (ie, convolutional neural networks and abductive networks) demonstrated the highest accuracy, considering the given database for the given clinical task. The risk of bias in diagnosis or prognosis studies was the lowest in the participant category (4/49, 4%) and the highest in the outcome category (22/49, 45%).ConclusionsWe observed variabilities in reporting the participants, types of AI methods, analyses, and outcomes, and highlighted the large gap in the effective development and implementation of AI in CBPHC. Further studies are needed to efficiently guide the development and implementation of AI interventions in CBPHC settings.

Project description:BackgroundThere is a need for greater understanding of experiences implementing community-based primary health care in humanitarian settings and of the adjustments needed to ensure continuation of essential services and utilization of services by the population, and to contribute to effective emergency response. We reviewed the evidence base on community health workers (CHWs) in humanitarian settings, with the goal of improving delivery of essential services to the most vulnerable populations.MethodsWe conducted a scoping review of published and grey literature related to health and nutrition services provided by CHWs in humanitarian settings. Extracted data from retained documents were analyzed inductively for key themes.ResultsOf 3709 documents screened, 219 were included in the review. Key findings from the literature include: 1) CHWs were often able to continue providing services during acute and protracted crises, including prolonged periods of conflict and insecurity and during population displacement. 2) CHWs carried out critical emergency response activities during acute crises. 3) Flexible funding facilitated transitions between development and humanitarian programming. 4) Communities that did not have a locally-resident CHW experienced reduced access to services when travel was limited. 5) Community selection of CHWs and engagement of respected local leaders were crucial for community trust and acceptance and high utilization of services. 6) Selection of local supervisors and use of mobile phones facilitated continued supervision. 7) Actions taken to maintain supplies included creating parallel supply chains, providing buffer stocks to CHWs, and storing commodities in decentralized locations. 8) When travel was restricted, reporting and data collection were continued using mobile phones and use of local data collectors. 9) CHWs and supervisors faced security threats and psychological trauma as a result of their work.ConclusionsTo achieve impact, policy makers and program implementers will have to address the bottlenecks to CHW service delivery common in stable low-income settings as well as the additional challenges unique to humanitarian settings. Future interventions should take into account the lessons learned from years of experience with implementation of community-based primary health care in humanitarian settings. There is also a need for rigorous assessments of community-based primary health care interventions in humanitarian settings.

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Project description:IntroductionCommunity health workers (CHWs) are vital resources in delivering community-based primary health care, especially in low-and-middle-income countries (LMIC). However, few studies have investigated detailed time and task assessments of CHW's work. We conducted a time-motion study to evaluate CHWs' time on health conditions and specific tasks in Neno District, Malawi.MethodsWe conducted a descriptive quantitative study utilizing a time observation tracker to capture time spent by CHWs on focused health conditions and tasks performed during household visits. We observed 64 CHWs between 29 June and 20 August 2020. We computed counts and median to describe CHW distribution, visit type, and time spent per health condition and task. We utilized Mood's median test to compare the median time spent at a household during monthly visits with the program design standard time. We used pairwise median test to test differences in median time duration for health conditions and assigned tasks.ResultsWe observed 660 CHW visits from 64 CHWs, with 95.2% (n = 628) of the visits as monthly household visits. The median time for a monthly household visit was 34 min, statistically less than the program design time of 60 min (p < 0.001). While the CHW program focused on eight disease areas, pretesting with the observation tool showed that CHWs were engaged in additional health areas like COVID-19. Of the 3043 health area touches by CHWs observed, COVID-19, tuberculosis, and non-communicable diseases (NCDs) had the highest touches (19.3%, 17.6%, and 16.6%, respectively). The median time spent on sexually transmitted infections (STIs) and NCDs was statistically higher than in other health areas (p < 0.05). Of 3813 tasks completed by CHWs, 1640 (43%) were on health education and promotion. A significant difference was observed in the median time spent on health education, promotion, and screening compared to other tasks (p < 0.05).ConclusionThis study demonstrates that CHWs spend the most time on health education, promotion, and screening per programmatic objectives but, overall, less time than program design. CHWs deliver care for a broader range of health conditions than the programmatic design indicates. Future studies should examine associations between time spent and quality of care delivery.

Project description:BackgroundCommunity Health Workers (CHWs) have a positive impact on the provision of community-based primary health care through screening, treatment, referral, psychosocial support, and accompaniment. With a broad scope of work, CHW programs must balance the breadth and depth of tasks to maintain CHW motivation for high-quality care delivery. Few studies have described the CHW perspective on intrinsic and extrinsic motivation to enhance their programmatic activities.MethodsWe utilized an exploratory qualitative study design with CHWs employed in the household model in Neno District, Malawi, to explore their perspectives on intrinsic and extrinsic motivators and dissatisfiers in their work. Data was collected in 8 focus group discussions with 90 CHWs in October 2018 and March-April 2019 in seven purposively selected catchment areas. All interviews were audiotaped, transcribed verbatim, coded, and analyzed using Dedoose.ResultsThemes of complex intrinsic and extrinsic factors were generated from the perspectives of the CHWs in the focus group discussions. Study results indicate that enabling factors are primarily intrinsic factors such as positive patient outcomes, community respect, and recognition by the formal health care system but can lead to the challenge of increased scope and workload. Extrinsic factors can provide challenges, including an increased scope and workload from original expectations, lack of resources to utilize in their work, and rugged geography. However, a positive work environment through supportive relationships between CHWs and supervisors enables the CHWs.ConclusionThis study demonstrated enabling factors and challenges for CHW performance from their perspective within the dual-factor theory. We can mitigate challenges through focused efforts to limit geographical distance, manage workload, and strengthen CHW support to reinforce their recognition and trust. Such programmatic emphasis can focus on enhancing motivational factors found in this study to improve the CHWs' experience in their role. The engagement of CHWs, the communities, and the formal health care system is critical to improving the care provided to the patients and communities, along with building supportive systems to recognize the work done by CHWs for the primary health care systems.

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Community health workers involvement in preventative care in primary healthcare: a systematic scoping review.

Publications

Community health workers involvement in preventative care in primary healthcare: a systematic scoping review.

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