Dataset Information

Assessing the Quality of Sick Child Care Provided by Community Health Workers.

ABSTRACT:

Background

As community case management of childhood illness expands in low-income countries, there is a need to assess the quality of care provided by community health workers. This study had the following objectives: 1) examine methods of recruitment of sick children for assessment of quality of care, 2) assess the validity of register review (RR) and direct observation only (DO) compared to direct observation with re-examination (DO+RE), and 3) assess the effect of observation on community health worker performance.

Methods

We conducted a survey to assess the quality of care provided by Ethiopian Health Extension Workers (HEWs). The sample of children was obtained through spontaneous consultation, HEW mobilization, or recruitment by the survey team. We assessed patient characteristics by recruitment method. Estimates of indicators of quality of care obtained using RR and DO were compared to gold standard estimates obtained through DO+RE. Sensitivity, specificity, and the area under receiver operator characteristic curve (AUC) were calculated to assess the validity of RR and DO. To assess the Hawthorne effect, we compared estimates from RR for children who were observed by the survey team to estimates from RR for children who were not observed by the survey team.

Results

Participants included 137 HEWs and 257 sick children in 103 health posts, plus 544 children from patient registers. Children mobilized by HEWs had the highest proportion of severe illness (27%). Indicators of quality of care from RR and DO had high sensitivity for most indicators, but specificity was low. The AUC for different indicators from RR ranged from 0.47 to 0.76, with only one indicator above 0.75. The AUC of indicators from DO ranged from 0.54 to 1.0, with three indicators above 0.75. The differences between estimates of correct care for observed versus not observed children were small.

Conclusions

Mobilization by HEWs and recruitment by the survey teams were feasible, but potentially biased, methods of obtaining sick children. Register review and DO underestimated performance errors. Our data suggest that being observed had only a small positive effect on the performance of HEWs.

SUBMITTER: Miller NP

PROVIDER: S-EPMC4638333 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Assessing the Quality of Sick Child Care Provided by Community Health Workers.

Miller Nathan P NP Amouzou Agbessi A Hazel Elizabeth E Degefie Tedbabe T Legesse Hailemariam H Tafesse Mengistu M Pearson Luwei L Black Robert E RE Bryce Jennifer J

PloS one 20151109 11

<h4>Background</h4>As community case management of childhood illness expands in low-income countries, there is a need to assess the quality of care provided by community health workers. This study had the following objectives: 1) examine methods of recruitment of sick children for assessment of quality of care, 2) assess the validity of register review (RR) and direct observation only (DO) compared to direct observation with re-examination (DO+RE), and 3) assess the effect of observation on comm ...[more]

PMID: 26551035

Similar Datasets

Project description:BACKGROUND:Community health worker (CHW) interventions to manage childhood illness is a strategy promoted by the global health community which involves training and supporting CHW to assess, classify and treat sick children at home, using an algorithm adapted from the Integrated Management of Childhood Illness (IMCI). To inform CHW policy, the Government of Tanzania launched a program in 2011 to determine if community case management (CCM) of malaria, pneumonia and diarrhea could be implemented by CHW in that country. METHODS:This paper reports the results of an observational study on the CCM service delivery quality of a trial cohort of CHW in Tanzania, called WAJA. In 2014, teams of data collectors, employees of the Ministry of Health and Social Welfare trained in IMCI, assessed the IMCI skills rendered by a sample of WAJA on sick children who presented to WAJA with illness signs and symptoms in their communities. The assessment included direct observations of WAJA IMCI episodes and expert re-assessment of the same children seen by WAJA to assess the congruence between the assessment, classification and treatment outcomes of WAJA cases and those from cases conducted by expert re-assessors. RESULTS:In the majority of cases, WAJA correctly assess sick children for CCM-treatable illnesses (malaria, pneumonia, and diarrhea) and general danger signs (90% and 89%, respectively), but too few correctly assess for physical danger signs (39%); on classification in the majority of cases (73%) WAJA correctly classified illness, though more for CCM-treatable illnesses (83%). In majority of cases (78%) WAJA treated children correctly (84% of malaria, 74% pneumonia, and 71% diarrhea cases). Errors were often associated with lapses in health systems support, mainly supervision and logistics. CONCLUSION:CCM is a feasible strategy for CHW in Tanzania, who, in the majority of cases, implemented the approach as well as IMCI expert re-assessors. Nevertheless, for CCM to be effective, in Tanzania, a strategy to implement it must be coordinated with efforts to strengthen local health systems.

Project description:OBJECTIVE:To develop a tool for use by non-clinical fieldworkers for assessing the quality of care delivered by community health workers providing comprehensive care in households in low- and middle-income countries. DESIGN:We determined the content of the tool using multiple sources of information, including interactions with district managers, national training manuals and an exploratory study that included observations of 70 community health workers undertaking 518 household visits collected as part of a wider study. We also reviewed relevant literature, selecting relevant domains and quality markers. To refine the tool and manual we worked with the fieldworkers who had undertaken the observations. We constructed two scores summarising key aspects of care: (1) delivering messages and actions during household visit, and (2) communicating with the household; we also collected contextual data. The fieldworkers used the tool with community health workers in a different area to test feasibility. SETTING:South Africa, where community health workers have been brought into the public health system to address the shortage of healthcare workers and limited access to healthcare. It was embedded in an intervention study to improve quality of community health worker supervision. PRIMARY AND SECONDARY OUTCOMES:Our primary outcome was the completion of a tool and user manual. RESULTS:The tool consists of four sections, completed at different stages during community health worker household visits: before setting out, at entry to a household, during the household visit and after leaving the household. Following tool refinement, we found no problems on field-testing the tool. CONCLUSIONS:We have developed a tool for assessing quality of care delivered by community health workers at home visits, often an unobserved part of their role. The tool was developed for evaluating an intervention but could also be used to support training and management of community health workers.

Project description:BackgroundFew studies exist on the tools for assessing quality-of-care of community health worker (CHW) who provide comprehensive care, and for available tools, evidence on the utility is scanty. We aimed to assess the utility components of a previously-reported quality-of-care assessment tool developed for summative assessment in South Africa.MethodsIn two provinces, we used ratings by 21 CHWs and three team leaders in two primary health care facilities per province regarding whether the tool covered everything that happens during their household visits and whether they were happy to be assessed using the tool (acceptability and face validity), to derive agreement index (≥85%, otherwise the tool had to be revised). A panel of six experts quantitatively validated 11 items of the tool (content validity). Content validity index (CVI), of individual items (I-CVI) or entire scale (S-CVI), should be >80% (excellent). For the inter-rater reliability (IRR), we determined agreement between paired observers' assigned quality-of-care messages and communication scores during 18 CHW household visits (nine households per site). Bland and Altman plots and multilevel model analysis, for clustered data, were used to assess IRR.ResultsIn all four CHW and team leader sites, agreement index was ≥85%, except for whether they were happy to be assessed using the tool, where it was <85% in one facility. The I-CVI of the 11 items in the tool ranged between 0.83 and 1.00. For the S-CVI, all six experts agreed on relevancy (universal agreement) in eight of 11 items (0.72) whereas the average of I-CVIs, was 0.95. The Bland-Altman plot limit of agreements between paired observes were -0.18 to 0.44 and -0.30 to 0.44 (messages score); and -0.22 to 0.45 and -0.28 to 0.40 (communication score). Multilevel modeling revealed an estimated reliability of 0.77 (messages score) and 0.14 (communication score).ConclusionThe quality-of-care assessment tool has a high face and content validity. IRR was substantial for quality-of-care messages but not for communication score. This suggests that the tool may only be useful in the formative assessment of CHWs. Such assessment can provide the basis for reflection and discussion on CHW performance and lead to change.

Project description:BackgroundThe rising prevalence of hearing loss is a global health concern. Professional hearing services are largely absent within low- and middle-income countries where appropriate skills are lacking. Task-shifting to community healthcare workers (CHWs) supported by mHealth technologies is an important strategy to address the problem.ObjectiveTo evaluate the feasibility of a community-based rehabilitation model providing hearing aids to adults in low-income communities using CHWs supported by mHealth technologies.MethodBetween September 2020 and October 2021, hearing aid assessments and fittings were implemented for adults aged 18 and above in two low-income communities in the Western Cape, South Africa, using trained CHWs. A quantitative approach with illustrative open-ended questions was utilised to measure and analyse hearing aid outcomes. Data were collected through initial face-to-face interviews, telephone interviews, and face-to-face visits post-fitting. Responses to open-ended questions were analysed using inductive thematic analysis. The International Outcome Inventory - Hearing Aids questionnaire determined standardised hearing aid outcomes.ResultsOf the 152 adults in the community who self-reported hearing difficulties, 148 were successfully tested by CHWs during home visits. Most had normal hearing (39.9%), 24.3% had bilateral sensorineural hearing loss, 20.9% had suspected conductive hearing loss, and 14.9% had unilateral hearing loss, of which 5.4% had suspected conductive loss. Forty adults met the inclusion criteria to be fitted with hearing aids. Nineteen of these were fitted bilaterally. Positive hearing aid outcomes and minimal device handling challenges were reported 45 days post-fitting and were maintained at six months. The majority (73.7%) of participants fitted were still making use of their hearing aids at the six-month follow-up.ConclusionsImplementing a hearing healthcare service-delivery model facilitated by CHWs in low-income communities is feasible. mHealth technologies used by CHWs can support scalable service-delivery models with the potential for improved access and affordability in low-income settings.

Project description:BackgroundSince 2014, the Burkina Faso government has made Seasonal Malaria Chemoprevention (SMC) a priority in its strategic plan to fight against malaria among children aged from 3 to 59 months. Very few studies have examined the care provided by community health workers in the framework of this strategy. The purpose of this study was to evaluate the level of quality of care provided by the latter.MethodsThis was a mixed study. The quantitative component consisted of a non-participant observation of community health workers during the administration of care. The qualitative component consisted of one-on-one interviews with community health workers, child caregivers and head nurses. Five dimensions (organizational accessibility, interpersonal relationship, technical competence, safety of care and satisfaction of child caregivers) adapted from the Donabedian quality of care model were used to assess the quality level of care. The Corlien et al. Health Systems Research Program Implementation Scale was used to establish quality scores for each of the five dimensions. The study sites were the health centers located in the administrative centers of the 4 communes of the health district of Boulsa. The data were collected during the first cycle of the 2017 SMC campaign.ResultsA total of 14 active pairs (28 CHWs) were observed and 40 in-depth interviews with community health workers, Head nurses in duty and community leaders were conducted. The results show that community health workers worked in pairs. They had all received SMC training and possessed equipment to do their job. The dimensions of organizational accessibility and satisfaction of the caregivers were rated as good. The dimensions of interpersonal relationship and technical competence were judged to be of an acceptable score. Safety of care was judged to be of a low-level score. The overall quality of care was considered acceptable.ConclusionThe results of this study have shown that despite the difficulties faced by community health workers, they manage to deliver acceptable quality of care. Their use would be an asset for SMC in particular and for the health system in general.

Dataset Information

Assessing the Quality of Sick Child Care Provided by Community Health Workers.

Background

Methods

Results

Conclusions

Publications

Assessing the Quality of Sick Child Care Provided by Community Health Workers.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets