Dataset Information

'Do you trust those data?'-a mixed-methods study assessing the quality of data reported by community health workers in Kenya and Malawi.

ABSTRACT: High-quality data are essential to monitor and evaluate community health worker (CHW) programmes in low- and middle-income countries striving towards universal health coverage. This mixed-methods study was conducted in two purposively selected districts in Kenya (where volunteers collect data) and two in Malawi (where health surveillance assistants are a paid cadre). We calculated data verification ratios to quantify reporting consistency for selected health indicators over 3?months across 339 registers and 72 summary reports. These indicators are related to antenatal care, skilled delivery, immunization, growth monitoring and nutrition in Kenya; new cases, danger signs, drug stock-outs and under-five mortality in Malawi. We used qualitative methods to explore perceptions of data quality with 52 CHWs in Kenya, 83 CHWs in Malawi and 36 key informants. We analysed these data using a framework approach assisted by NVivo11. We found that only 15% of data were reported consistently between CHWs and their supervisors in both contexts. We found remarkable similarities in our qualitative data in Kenya and Malawi. Barriers to data quality mirrored those previously reported elsewhere including unavailability of data collection and reporting tools; inadequate training and supervision; lack of quality control mechanisms; and inadequate register completion. In addition, we found that CHWs experienced tensions at the interface between the formal health system and the communities they served, mediated by the social and cultural expectations of their role. These issues affected data quality in both contexts with reports of difficulties in negotiating gender norms leading to skipping sensitive questions when completing registers; fabrication of data; lack of trust in the data; and limited use of data for decision-making. While routine systems need strengthening, these more nuanced issues also need addressing. This is backed up by our finding of the high value placed on supportive supervision as an enabler of data quality.

SUBMITTER: Regeru RN

PROVIDER: S-EPMC7152729 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature

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'Do you trust those data?'-a mixed-methods study assessing the quality of data reported by community health workers in Kenya and Malawi.

Regeru Regeru Njoroge RN Chikaphupha Kingsley K Bruce Kumar Meghan M Otiso Lilian L Taegtmeyer Miriam M

Health policy and planning 20200401 3

High-quality data are essential to monitor and evaluate community health worker (CHW) programmes in low- and middle-income countries striving towards universal health coverage. This mixed-methods study was conducted in two purposively selected districts in Kenya (where volunteers collect data) and two in Malawi (where health surveillance assistants are a paid cadre). We calculated data verification ratios to quantify reporting consistency for selected health indicators over 3 months across 339 r ...[more]

PMID: 31977014

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Project description:Amidst the COVID-19 pandemic and national responses, trust (one’s belief that a system acts in one’s best interest) is important to consider. In community health systems, trust is embedded in relationships between clients, CHWs, and health system stakeholders. This mixed-methods study explores trust through the evolving COVID-19 crisis in Bangladesh, Haiti, and Kenya, where multi-country community health research was underway. We investigate the extent and ways trust between communities, community health workers (CHWs), and health system actors shift, including its relation to community fear and hostility, through self-reported positive and negative experiences of CHWs and policy/program stakeholders on a phone-based survey with 2,025 CHWs and 72 key informant interviews, including CHWs, in late 2020. On surveys, CHWs reported high levels of community trust (8/10 in Bangladesh and Kenya; 6/10 in Haiti) with over 60% reporting client relief in seeing their CHWs. About one-third of CHWs across countries reported experiencing instances of hostility from community members during the pandemic in the form of refused home-entry, ignored advice, or being shouted at. Multivariate analyses revealed that CHWs reporting more positive and fewer negative experiences is consistently associated with continuing routine work, doing COVID-19-related work, and greater community trust. Qualitative interviews showed that existing pre-pandemic trusting relationships withstood the early phase of COVID-19, mitigating negative community reactions toward CHWs and stigma towards COVID-positive individuals, maintaining routine health services, and sustaining appreciation for CHW-provided prevention information and emotional support. CHW-community and CHW-health system actor trust is strengthened when CHWs are well-resourced; CHW-community trust is strained by public frustration at the pandemic, associated restrictions, and sociopolitical stressors. Our study suggests that with adequate institutional support, bonds of trust can promote resilient community health systems during extended public health crises, through CHWs’ commitment to mitigating misinformation, reducing stigma, maintaining routine service provision, and promoting COVID-19 prevention.

Project description:BackgroundThe setting of realistic performance-based financing rewards necessitates not just knowledge of health workers' salaries, but of the revenue that accrues from their additional income-generating activities. This study examined the coping mechanisms of health workers in the public health sector of Nasarawa and Ondo states in Nigeria to supplement their salaries and benefits; it also estimated the proportionate value of the revenues from those coping mechanisms in relation to the health workers' official incomes.MethodsThis study adopted a mixed-methods approach, consisting of semi-structured interviews, a review of policy documents, a survey using self-administered questionnaires, and the randomized response technique (RRT). In all, 170 health workers (86 in Ondo, 84 in Nasarawa) participated in the survey. In-depth interviews were conducted with 24 health workers (12 per state) and nine policy makers from both states.ResultsThe health workers perceived their salaries as inadequate, though most policy makers differed in this assessment. There appeared to be a considerable expenditure-income disparity among the respondents. Approximately 56% (n?=?93) of the study population reported having additional earning arrangements: most reported non-medical activities such as farming and trading, but private practice was also frequently reported.Half of the respondents with additional earning arrangements stated that their income from those activities was the equivalent of half or more of their monthly salaries. Specifically, 35% (n?=?32) said that they earned about half of their official monthly salaries and 15% (n?=?14) reported earning the same or more than their monthly salaries from these activities. Other coping mechanisms used by the health workers included prioritizing activities that enabled the earning of per diems, collecting informal payments and gifts from patients, and pilfering drugs from facilities.ConclusionsPredatory and non-predatory mechanisms accounted for the health workers' additional income. It may be difficult for the health workers to meet their expenses with their salaries and financial incentives; this highlights the need for the regulation of additional earnings and to implement targeted accountability mechanisms. This study indicates the value of using mixed methods when investigating sensitive issues. Future studies of this type should employ mixed methods for triangulation purposes to provide better insight into health workers' responses.

Project description:ObjectiveThis study examined the performance motivation of community health workers (CHWs) and its determinants on India's Accredited Social Health Activist (ASHA) programme.DesignCross-sectional study employing mixed-methods approach involved survey and focus group discussions.SettingThe state of Orissa.Participants386 CHWs representing 10% of the total CHWs in the chosen districts and from settings selected through a multi-stage stratified sampling.Primary and secondary outcome measuresThe level of performance motivation among the CHWs, its determinants and their current status as per the perceptions of the CHWs.ResultsThe level of performance motivation was the highest for the individual and the community level factors (mean score 5.94-4.06), while the health system factors scored the least (2.70-3.279). Those ASHAs who felt having more community and system-level recognition also had higher levels of earning as CHWs (p=0.040, 95% CI 0.06 to 0.12), a sense of social responsibility (p=0.0005, 95% CI 0.12 to 0.25) and a feeling of self-efficacy (p=0.000, 95% CI 0.38 to 0.54) on their responsibilities. There was no association established between their level of dissatisfaction on the incentives (p=0.385) and the extent of motivation. The inadequate healthcare delivery status and certain working modalities reduced their motivation. Gender mainstreaming in the community health approach, especially on the demand-side and community participation were the positive externalities of the CHW programme.ConclusionsThe CHW programme could motivate and empower local lay women on community health largely. The desire to gain social recognition, a sense of social responsibility and self-efficacy motivated them to perform. The healthcare delivery system improvements might further motivate and enable them to gain the community trust. The CHW management needs amendments to ensure adequate supportive supervision, skill and knowledge enhancement and enabling working modalities.

Project description:BackgroundDespite significant success in the fight against malaria over the past two decades, malaria control programmes rely on only two insecticidal methods: indoor residual spraying and insecticidal-treated nets. House improvement (HI) can complement these interventions by reducing human-mosquito contact, thereby reinforcing the gains in disease reduction. This study assessed the implementation fidelity, which is the assessment of how closely an intervention aligns with its intended design, feasibility, and sustainability of community-led HI in southern Malawi.MethodsThe study, conducted in 22 villages (2730 households), employed a mixed-methods approach. Implementation fidelity was assessed using a modified framework, with longitudinal surveys collecting data on HI coverage indicators. Quantitative analysis, employing descriptive statistics, evaluated the adherence to HI implementation. Qualitative data came from in-depth interviews, key informant interviews, and focus groups involving project beneficiaries and implementers. Qualitative data were analysed using content analysis guided by the implementation fidelity model to explore facilitators, challenges, and factors affecting intervention feasibility.ResultsThe results show that HI was implemented as planned. There was good adherence to the intended community-led HI design; however, the adherence could have been higher but gradually declined over time. In terms of intervention implementation, 74% of houses had attempted to have eaves closed in 2016-17 and 2017-18, compared to 70% in 2018-19. In 2016-17, 42% of houses had all four sides of the eaves closed, compared to 33% in 2018-19. Approximately 72% of houses were screened with gauze wire in 2016-17, compared to 57% in 2018-19. High costs, supply shortages, labour demands, volunteers' poor living conditions and adverse weather were reported to hinder the ideal HI implementation. Overall, the community described community-led HI as feasible and could be sustained by addressing these socioeconomic and contextual challenges.ConclusionOur study found that although HI was initially implemented as planned, its fidelity declined over time. Using trained volunteers facilitated the fidelity and feasibility of implementing the intervention. A combination of rigorous community education, consistent training, information, education and communication, and intervention modifications may be necessary to address the challenges and enhance the intervention's fidelity, feasibility, and sustainability.

Project description:BackgroundThe well-documented shortages of health care workers (HCWs) in sub-Saharan Africa are further intensified by the increased human resource needs of expanding HIV treatment programs. Burnout is a syndrome of emotional exhaustion (EE), depersonalization (DP), and a sense of low personal accomplishment (PA). HCWs' burnout can negatively impact the delivery of health services. Our main objective was to examine the prevalence of burnout amongst HCWs in Malawi and explore its relationship to self-reported suboptimal patient care.MethodsA cross-sectional study among HCWs providing HIV care in 89 facilities, across eight districts in Malawi was conducted. Burnout was measured using the Maslach Burnout Inventory defined as scores in the mid-high range on the EE or DP subscales. Nine questions adapted for this study assessed self-reported suboptimal patient care. Surveys were administered anonymously and included socio-demographic and work-related questions. Validated questionnaires assessed depression and at-risk alcohol use. Chi-square test or two-sample t-test was used to explore associations between variables and self-reported suboptimal patient care. Bivariate analyses identified candidate variables (p < 0.2). Final regression models included variables with significant main effects.ResultsOf 520 HCWs, 62% met criteria for burnout. In the three dimensions of burnout, 55% reported moderate-high EE, 31% moderate-high DP, and 46% low-moderate PA. The majority (89%) reported engaging in suboptimal patient care/attitudes including making mistakes in treatment not due to lack of knowledge/experience (52%), shouting at patients (45%), and not performing diagnostic tests due to a desire to finish quickly (35%). In multivariate analysis, only burnout remained associated with self-reported suboptimal patient care (OR 3.22, [CI 2.11 to 4.90]; p<0.0001).ConclusionBurnout was common among HCWs providing HIV care and was associated with self-reported suboptimal patient care practices/attitudes. Research is needed to understand factors that contribute to and protect against burnout and that inform the development of strategies to reduce burnout.

Project description:BackgroundAlabama is one of seven priority states for the National Ending the HIV Epidemic Initiative due to a disproportionate burden of rural infections. To reverse growing infection rates, the state must increase its focus on prevention efforts, including novel strategies. One such approach is to utilize dashboards that visualize real-time data on the pre-exposure prophylaxis (PrEP) care continuum to assist in prioritizing evidence-based preventative care for those most vulnerable for HIV infection.MethodsWe conducted a mixed methods evaluation to ascertain stakeholders' perceptions on the acceptability, feasibility, appropriateness, and usability of a PrEP care continuum dashboard, as well as gain insight on ways to improve the activities necessary to sustain it. Clinicians, administrators, and data personnel from participating sites in Alabama completed surveys (n = 9) and participated in key informant interviews (n = 10) to better understand their experiences with the prototype data dashboard and to share feedback on how it can be modified to best fit their needs.ResultsSurveys and interviews revealed that all participants find the pilot data dashboard to be an acceptable, feasible, and appropriate intervention for clinic use. Overall, stakeholders find the pilot dashboard to be usable and helpful in administrative efforts, such as report and grant writing; however, additional refining is needed in order to reduce burden and optimize usefulness. Participants voiced concerns about their site's abilities to sustain the dashboard, including the lack of systematized PrEP protocols and limited funds and staff time dedicated to PrEP data collection, cleaning, and upload.ConclusionStudy participants from clinics providing HIV prevention services, including PrEP, in Alabama voiced interest in sustaining and refining a data dashboard that tracks clients across the PrEP care continuum. Despite viewing the platform itself as an acceptable, feasible, and appropriate intervention, participants agreed that efforts need to be focused on standardizing PrEP data collection protocols in order to ensure consistent, accurate data capture and that limited funds and staff time are barriers to the sustained implementation of the dashboard in practice.

Project description:BackgroundGoal-oriented care is being adopted to deliver person-centered primary care to older adults with multimorbidity and complex care needs. Although this model holds promise, its implementation remains a challenge. Digital health solutions may enable processes to improve adoption; however, they require evaluation to determine feasibility and impact.ObjectiveThis study aims to evaluate the implementation and effectiveness of the electronic Patient-Reported Outcome (ePRO) mobile app and portal system, designed to enable goal-oriented care delivery in interprofessional primary care practices. The research questions driving this study are as follows: Does ePRO improve quality of life and self-management in older adults with complex needs? What mechanisms are likely driving observed outcomes?MethodsA multimethod, pragmatic randomized controlled trial using a stepped-wedge design and ethnographic case studies was conducted over a 15-month period in 6 comprehensive primary care practices across Ontario with a target enrollment of 176 patients. The 6 practices were randomized into either early (3-month control period; 12-month intervention) or late (6-month control period; 9-month intervention) groups. The primary outcome measure of interest was the Assessment of Quality of Life-4D (AQoL-4D). Data were collected at baseline and at 3 monthly intervals for the duration of the trial. Ethnographic data included observations and interviews with patients and providers at the midpoint and end of the intervention. Outcome data were analyzed using linear models conducted at the individual level, accounting for cluster effects at the practice level, and ethnographic data were analyzed using qualitative description and framework analysis methods.ResultsRecruitment challenges resulted in fewer sites and participants than expected; of the 176 target, only 142 (80.6%) patients were identified as eligible to participate because of lower-than-expected provider participation and fewer-than-expected patients willing to participate or perceived as ready to engage in goal-setting. Of the 142 patients approached, 45 (32%) participated. Patients set a variety of goals related to self-management, mental health, social health, and overall well-being. Owing to underpowering, the impact of ePRO on quality of life could not be definitively assessed; however, the intervention group, ePRO plus usual care (mean 15.28, SD 18.60) demonstrated a nonsignificant decrease in quality of life (t24=-1.20; P=.24) when compared with usual care only (mean 21.76, SD 2.17). The ethnographic data reveal a complex implementation process in which the meaningfulness (or coherence) of the technology to individuals' lives and work acted as a key driver of adoption and tool appraisal.ConclusionsThis trial experienced many unexpected and significant implementation challenges related to recruitment and engagement. Future studies could be improved through better alignment of the research methods and intervention to the complex and diverse clinical settings, dynamic goal-oriented care process, and readiness of provider and patient participants.Trial registrationClinicalTrials.gov NCT02917954; https://clinicaltrials.gov/ct2/show/NCT02917954.

Project description:BackgroundThe burden of influenza-like illness (ILI) is typically estimated via hospitalizations and deaths. However, ILI-associated morbidity that does not require hospitalization remains poorly characterized.ObjectiveThe main objective of this study was to characterize ILI burden using commercial wearable sensor data and investigate the extent to which these data correlate with self-reported illness severity and duration. Furthermore, we aimed to determine whether ILI-associated changes in wearable sensor data differed between care-seeking and non-care-seeking populations as well as between those with confirmed influenza infection and those with ILI symptoms only.MethodsThis study comprised participants enrolled in either the FluStudy2020 or the Home Testing of Respiratory Illness (HTRI) study; both studies were similar in design and conducted between December 2019 and October 2020 in the United States. The participants self-reported ILI-related symptoms and health care-seeking behaviors via daily, biweekly, and monthly surveys. Wearable sensor data were recorded for 120 and 150 days for FluStudy2020 and HTRI, respectively. The following features were assessed: total daily steps, active time (time spent with >50 steps per minute), sleep duration, sleep efficiency, and resting heart rate. ILI-related changes in wearable sensor data were compared between the participants who sought health care and those who did not and between the participants who tested positive for influenza and those with symptoms only. Correlative analyses were performed between wearable sensor data and patient-reported outcomes.ResultsAfter combining the FluStudy2020 and HTRI data sets, the final ILI population comprised 2435 participants. Compared with healthy days (baseline), the participants with ILI exhibited significantly reduced total daily steps, active time, and sleep efficiency as well as increased sleep duration and resting heart rate. Deviations from baseline typically began before symptom onset and were greater in the participants who sought health care than in those who did not and greater in the participants who tested positive for influenza than in those with symptoms only. During an ILI event, changes in wearable sensor data consistently varied with those in patient-reported outcomes.ConclusionsOur results underscore the potential of wearable sensors to discriminate not only between individuals with and without influenza infections but also between care-seeking and non-care-seeking populations, which may have future application in health care resource planning.Trial registrationClinicaltrials.gov NCT04245800; https://clinicaltrials.gov/ct2/show/NCT04245800.

Dataset Information

'Do you trust those data?'-a mixed-methods study assessing the quality of data reported by community health workers in Kenya and Malawi.

Publications

'Do you trust those data?'-a mixed-methods study assessing the quality of data reported by community health workers in Kenya and Malawi.

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