Dataset Information

A new tool to measure approaches to supervision from the perspective of community health workers: a prospective, longitudinal, validation study in seven countries.

ABSTRACT:

Background

The global scale-up of community health workers (CHWs) depends on supportive management and supervision of this expanding cadre. Existing tools fail to incorporate the perspective of the CHW (i.e. perceived supervision) in terms of supportive experiences with their supervisor. Aligned to the WHO's strategy on human resources for health, we developed and validated a simple tool to measure perceived supervision across seven low and middle-income countries.

Methods

Phase 1 was carried out with 327 CHWs in Sierra Leone. Twelve questions, informed by the extant literature on health worker supervision, were reduced to six questions using confirmatory factor analysis. Phase 2 employed structural equation modelling with 741 CHWs in six countries (Bangladesh, Ethiopia, Indonesia, Kenya, Malawi, Mozambique), to assess the factorial validity, predictive validity, and internal reliability of the questions at three time-points, over 8-months.

Results

We developed a robust, 6-item measure of perceived supervision (PSS), capturing regular contact, two-way communication, and joint problem-solving elements as being critical from the perspective of CHWs. When assessed across the six countries, over time, the PSS was also found to have good validity and internal reliability. PSS scores at baseline positively and significantly predicted a range of performance-related outcomes at follow-up.

Conclusion

The PSS is the first validated tool that measures supervisory experience from the perspective of CHWs and is applicable across multiple, culturally-distinct global health contexts with a wide range of CHW typologies. Simple, quick to administer, and freely available in 11 languages, the PSS could assist practitioners in the management of community health programmes.

SUBMITTER: Vallieres F

PROVIDER: S-EPMC6196473 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature

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Publications

A new tool to measure approaches to supervision from the perspective of community health workers: a prospective, longitudinal, validation study in seven countries.

Vallières Frédérique F Hyland Philip P McAuliffe Eilish E Mahmud Ilias I Tulloch Olivia O Walker Polly P Taegtmeyer Miriam M

BMC health services research 20181022 1

<h4>Background</h4>The global scale-up of community health workers (CHWs) depends on supportive management and supervision of this expanding cadre. Existing tools fail to incorporate the perspective of the CHW (i.e. perceived supervision) in terms of supportive experiences with their supervisor. Aligned to the WHO's strategy on human resources for health, we developed and validated a simple tool to measure perceived supervision across seven low and middle-income countries.<h4>Methods</h4>Phase 1 ...[more]

PMID: 30348147

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Project description:BackgroundThe strength of a health system-and ultimately the health of a population-depends to a large degree on health worker performance. However, insufficient support to build, manage and optimize human resources for health (HRH) in low- and middle-income countries (LMICs) results in inadequate health workforce performance, perpetuating health inequities and low-quality health services.MethodsThe USAID-funded Human Resources for Health in 2030 Program (HRH2030) conducted a systematic review of studies documenting supervision enhancements and approaches that improved health worker performance to highlight components associated with these interventions' effectiveness. Structured by a conceptual framework to classify the inputs, processes, and results, the review assessed 57 supervision studies since 2010 in approximately 29 LMICs.ResultsOf the successful supervision approaches described in the 57 studies reviewed, 44 were externally funded pilots, which is a limitation. Thirty focused on community health worker (CHW) programs. Health worker supervision was informed by health system data for 38 approaches (67%) and 22 approaches used continuous quality improvement (QI) (39%). Many successful approaches integrated digital supervision technologies (e.g., SmartPhones, mHealth applications) to support existing data systems and complement other health system activities. Few studies were adapted, scaled, or sustained, limiting reports of cost-effectiveness or impact.ConclusionBuilding on results from the review, to increase health worker supervision effectiveness we recommend to: integrate evidence-based, QI tools and processes; integrate digital supervision data into supervision processes; increase use of health system information and performance data when planning supervision visits to prioritize lowest-performing areas; scale and replicate successful models across service delivery areas and geographies; expand and institutionalize supervision to reach, prepare, protect, and support frontline health workers, especially during health emergencies; transition and sustain supervision efforts with domestic human and financial resources, including communities, for holistic workforce support. In conclusion, effective health worker supervision is informed by health system data, uses continuous quality improvement (QI), and employs digital technologies integrated into other health system activities and existing data systems to enable a whole system approach. Effective supervision enhancements and innovations should be better integrated, scaled, and sustained within existing systems to improve access to quality health care.

Project description:ObjectivesDevelop and validate a WHO Standards-based online questionnaire to measure the quality of maternal and newborn care (QMNC) around the time of childbirth from the health workers' perspective.DesignMixed-methods study.SettingSix countries of the WHO European Region.Participants and methodsThe questionnaire is based on lessons learnt in previous studies, and was developed in three sequential phases: (1) WHO Quality Measures were prioritised and content, construct and face validity were assessed through a Delphi involving a multidisciplinary board of experts from 11 countries of the WHO European Region; (2) translation/back translation of the English version was conducted following The Professional Society for Health Economics and Outcomes Research guidelines; (3) internal consistency, intrarater reliability and acceptability were assessed among 600 health workers in six countries.ResultsThe questionnaire included 40 items based on WHO Standards Quality Measures, equally divided into four domains: provision of care, experience of care, availability of human and physical resources, organisational changes due to COVID-19; and its organised in six sections. It was translated/back translated in 12 languages: Bosnian, Croatian, French, German, Italian, Norwegian, Portuguese, Romanian, Russian, Slovenian, Spanish and Swedish. The Cronbach's alpha values were ≥0.70 for each questionnaire section where questions were hypothesised to be interrelated, indicating good internal consistence. Cohen K or Gwet's AC1 values were ≥0.60, suggesting good intrarater reliability, except for one question. Acceptability was good with only 1.70% of health workers requesting minimal changes in question wording.ConclusionsFindings suggest that the questionnaire has good content, construct, face validity, internal consistency, intrarater reliability and acceptability in six countries of the WHO European Region. Future studies may further explore the questionnaire's use in other countries, and how to translate evidence generated by this tool into policies to improve the QMNC.Trail registration numberNCT04847336.

Project description:BackgroundCollaborative practice between community pharmacists and physicians is becoming increasingly common. Although tools and models to explore collaborative practice between both health care professionals have been developed, very few have been validated for their use in clinical practice. The objective of this study was to develop and validate a tool for measuring collaborative practice between community pharmacists and physicians from the perspective of community pharmacists.MethodsThe DeVellis method was used to develop and validate the Professional Collaborative Practice Tool. A pool of 40 items with Likert frequency scales was generated based on previous literature and expert opinion. This study was undertaken in Spain. A sample of community pharmacists providing medication reviews with follow-up and a random sample of pharmacists providing usual care were invited to participate. Exploratory and confirmatory factor analysis was used to assess the tool's reliability and content validity.ResultsThree hundred thirty-six pharmacists were invited with an overall response rate of 84.8%. The initial 40 items selected were reduced to 14 items. Exploratory Factor Analysis provided a 3-factor solution explaining 62% of the variance. Confirmatory Factor Analysis confirmed the three factors "Activation for collaborative professional practice," the "Integration in collaborative professional practice," and the "Professional acceptance in collaborative professional practice." The tool demonstrated an adequate fit (X2/df = 1.657, GFI = 0.889 and RMSEA = 0.069) and good internal consistency (Cronbach's alpha = 0.924).ConclusionsThe Professional Collaborative Practice Tool has shown good internal reliability and criterion validity. The tool could be used to measure the perceived level of collaborative practice between community pharmacists and physicians and monitor changes over time. Its applicability and transferability to other settings should be evaluated.

Project description:IntroductionCommunity health workers (CHWs) deliver services at-scale to reduce maternal and child undernutrition, but often face inadequate support from the health system to perform their job well. Supportive supervision is a promising intervention that strengthens the health system and can enable CHWs to offer quality services.ObjectivesWe examined if greater intensity of supportive supervision as defined by monitoring visits to Anganwadi Centre, CHW-supervisor meetings, and training provided by supervisors to CHWs in the context of Integrated Child Services Development (ICDS), a national nutrition program in India, is associated with higher performance of CHWs. Per program guidelines, we develop the performance of CHWs measure by using an additive score of nutrition services delivered by CHWs. We also tested to see if supportive supervision is indirectly associated with CHW performance through CHW knowledge.MethodsWe used longitudinal survey data of CHWs from an impact evaluation of an at-scale technology intervention in Madhya Pradesh and Bihar. Since the inception of ICDS, CHWs have received supportive supervision from their supervisors to provide services in the communities they serve. Mixed-effects logistic regression models were used to test if higher intensity supportive supervision was associated with improved CHW performance. The model included district fixed effects and random intercepts for the sectors to which supervisors belong.ResultsAmong 809 CHWs, the baseline proportion of better performers was 45%. Compared to CHWs who received lower intensity of supportive supervision, CHWs who received greater intensity of supportive supervision had 70% higher odds (AOR 1.70, 95% CI 1.16, 2.49) of better performance after controlling for their baseline performance, CHW characteristics such as age, education, experience, caste, timely payment of salaries, Anganwadi Centre facility index, motivation, and population served in their catchment area. A test of mediation indicated that supportive supervision is associated indirectly with CHW performance through improvement in CHW knowledge.ConclusionHigher intensity of supportive supervision is associated with improved CHW performance directly and through knowledge of CHWs. Leveraging institutional mechanisms such as supportive supervision could be important in improving service delivery to reach beneficiaries and potentially better infant and young child feeding practices and nutritional outcomes.Trial registrationTrial registration number: https://doi.org/10.1186/ISRCTN83902145.

Dataset Information

A new tool to measure approaches to supervision from the perspective of community health workers: a prospective, longitudinal, validation study in seven countries.

Background

Methods

Results

Conclusion

Publications

A new tool to measure approaches to supervision from the perspective of community health workers: a prospective, longitudinal, validation study in seven countries.

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