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Can mHealth improve timeliness and quality of health data collected and used by health extension workers in rural Southern Ethiopia?

ABSTRACT: Background:Health extension workers (HEWs) are the key cadre within the Ethiopian Health Extension Programme extending health care to rural communities. National policy guidance supports the use of mHealth to improve data quality and use. We report on a mobile Health Management Information system (HMIS) with HEWs and assess its impact on data use, community health service provision and HEWs' experiences. Methodology:We used a mixed methods approach, including an iterative process of intervention development for 2 out of 16 essential packages of health services, quantitative analysis of new registrations, and qualitative research with HEWs and their supervisors. Results:The iterative approach supported ownership of the intervention by health staff, and 8833 clients were registered onto the mobile HMIS by 62 trained HEWs. HEWs were positive about using mHealth and its impact on data quality, health service delivery, patient follow-up and skill acquisition. Challenges included tensions over who received a phone; worries about phone loss; poor connectivity and power failures in rural areas; and workload. Discussion:Mobile HMIS developed through collaborative and locally embedded processes can support quality data collection, flow and better patient follow-up. Scale-up across other community health service packages and zones is encouraged together with appropriate training, support and distribution of phones to address health needs and avoid exacerbating existing inequalities. Keywords:CHWs, equity, ethics, Ethiopia, Health Management Information system, HEP, maternal health, mHealth, TB.

SUBMITTER: Mengesha W

PROVIDER: S-EPMC6294041 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature

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Can mHealth improve timeliness and quality of health data collected and used by health extension workers in rural Southern Ethiopia?

Mengesha W W Steege R R Kea A Z AZ Theobald S S Datiko D G DG

Journal of public health (Oxford, England) 20181201 suppl_2

<h4>Background</h4>Health extension workers (HEWs) are the key cadre within the Ethiopian Health Extension Programme extending health care to rural communities. National policy guidance supports the use of mHealth to improve data quality and use. We report on a mobile Health Management Information system (HMIS) with HEWs and assess its impact on data use, community health service provision and HEWs' experiences.<h4>Methodology</h4>We used a mixed methods approach, including an iterative process ...[more]

PMID: 30551131

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Project description:BACKGROUND: Governments are increasingly reliant on community health workers to undertake health promotion and provide essential curative care. In 2003, the Government of Ethiopia launched the Health Extension Programme and introduced a new cadre, health extension workers (HEWs), to improve access to care in rural communities. In 2013, to inform the government's plans for HEWs to take on an enhanced role in community-based newborn care, a time and motion study was conducted to understand the range of HEW responsibilities and how they allocate their time across health and non-health activities. METHODS: The study was administered in 69 rural kebeles in the Southern Nations Nationalities and People's Region and Oromia Region that were intervention areas of a trial to evaluate a package of community-based interventions for newborns. Over 4 consecutive weeks, HEWs completed a diary and recorded all activities undertaken during each working day. HEWs were also surveyed to collect data on seasonal activities and details of the health post and kebele in which they work. The average proportion of productive time (excluding breaks) that HEWs spent on an activity, at a location, or with a recipient each week, was calculated. RESULTS: The self-reported diary was completed by 131 HEWs. Over the course of a week, HEWs divided their time between the health post (51%) and the community (37%), with the remaining 11% of their time spent elsewhere. Curative health activities represented 16% of HEWs' time each week and 43% of their time was spent on health promotion and prevention. The remaining time included travel, training and supervision, administration, and community meetings. HEWs spent the majority (70%) of their time with individuals, families, and community members. CONCLUSIONS: HEWs have wide-ranging responsibilities for community-based health promotion and curative care. Their workload is diverse and they spend time on activities relating to family health, disease prevention and control, hygiene and sanitation, as well as other community-based activities. Reproductive, maternal, newborn, and child health activities represent a major component of the HEW's work and, as such, they can have a critically important role in improving the health outcomes of mothers and children in Ethiopia.

Project description:BackgroundEthiopia has scaled up its community-based programs over the past decade by training and deploying health extension workers (HEWs) in rural communities throughout the country. Consequently, child mortality has declined substantially, placing Ethiopia among the few countries that have achieved the United Nations' fourth Millennium Development Goal. As Ethiopia continues its efforts, results must be assessed regularly to provide timely feedback for improvement and to generate further support for programs. More specifically the expansion of HEWs at the community level provides a unique opportunity to build a system for real-time monitoring of births and deaths, linked to a civil registration and vital statistics system that Ethiopia is also developing. We tested the accuracy and completeness of births and deaths reported by trained HEWs for monitoring child mortality over 15 -month periods.Methods and findingsHEWs were trained in 93 randomly selected rural kebeles in Jimma and West Hararghe zones of the Oromia region to report births and deaths over a 15-month period from January, 2012 to March, 2013. Completeness of number of births and deaths, age distribution of deaths, and accuracy of resulting under-five, infant, and neonatal mortality rates were assessed against data from a large household survey with full birth history from women aged 15-49. Although, in general HEWs, were able to accurately report events that they identified, the completeness of number of births and deaths reported over twelve-month periods was very low and variable across the two zones. Compared to household survey estimates, HEWs reported only about 30% of births and 21% of under-five deaths occurring in their communities over a twelve-month period. The under-five mortality rate was under-estimated by around 30%, infant mortality rate by 23% and neonatal mortality by 17%. HEWs reported disproportionately higher number of deaths among the very young infants than among the older children.ConclusionBirth and death data reported by HEWs are not complete enough to support the monitoring of changes in childhood mortality. HEWs can significantly contribute to the success of a CRVS in Ethiopia, but cannot be relied upon as the sole source for identification of vital events. Further studies are needed to understand how to increase the level of completeness.

Project description:BackgroundMobile health (mHealth) applications, such as innovative electronic forms on smartphones, could potentially improve the performance of health care workers and health systems in developing countries. However, contextual evidence on health workers' barriers and motivating factors that may influence large-scale implementation of such interfaces for health care delivery is scarce.MethodsA pretested semistructured questionnaire was used to assess health workers' experiences, barriers, preferences, and motivating factors in using mobile health forms on smartphones in the context of maternal health care in Ethiopia. Twenty-five health extension workers (HEWs) and midwives, working in 13 primary health care facilities in Tigray region, Ethiopia, participated in this study.ResultsOver a 6-month period, a total of 2,893 electronic health records of 1,122 women were submitted to a central computer through the Internet. Sixteen (69.6%) workers believed the forms were good reminders on what to do and what questions needed to be asked. Twelve (52.2%) workers said electronic forms were comprehensive and 9 (39.1%) workers saw electronic forms as learning tools. All workers preferred unrestricted use of the smartphones and believed it helped them adapt to the smartphones and electronic forms for work purposes. With regards to language preference, 18 (78.3%) preferred using the local language (Tigrinya) version of the forms to English. Indentified barriers for not using electronic forms consistently include challenges related to electronic forms (for example, problem with username and password setting as reported by 5 (21.7%), smartphones (for example, smartphone froze or locked up as reported by 9 (39.1%) and health system (for example, frequent movement of health workers as reported by 19 (82.6%)).ConclusionsBoth HEWs and midwives found the electronic forms on smartphones useful for their day-to-day maternal health care services delivery. However, sustainable use and implementation of such work tools at scale would be daunting without providing technical support to health workers, securing mobile network airtime and improving key functions of the larger health system.

Project description:Background: PIERS on the Move (POM) is a mobile health application developed to support community health workers identification and management of women at risk of adverse outcomes from pre-eclampsia. The objective of this study was to evaluate the impact of using POM in Pakistan on Lady Health Workers' (LHWs) knowledge and self-efficacy related to caring for women with pre-eclampsia, and their perception of usefulness of the tool. Methodology: An evaluation was designed for health care workers involved in the Community-Level Intervention for Pre-eclampsia (CLIP) cluster randomized trial from 2014 to 2016 in Sindh Province, Pakistan (NCT01911494). A semi-structured focus group guide was developed based on the Technology Acceptance Model (TAM), which theorizes that an individual's behavioral intention to use a system is determined by perceived usefulness and ease of use. Preliminary qualitative analysis was undertaken by the Pakistan and Canadian teams to create a coding framework for full qualitative analysis, which was completed using NVivo12. Results: Three key informant interviews were conducted with two Lady Health Supervisors and one Senior Medical Officer. Sixty-two LHWs were included in three focus group discussions. LHWs found the POM app easy to use and useful for their work as a helpful repository for maternal health information and guiding counseling and management of pre-eclampsia. LHWs reported increased knowledge and confidence in their work. Availability of clinical homecare, including postpartum, was felt to positively impact healthcare provided to pregnant and postpartum women. Potential community level impacts included strengthening relationships between health care providers and communities and between LHWs and the health system. LHWs shared reports of earlier care-seeking and increased awareness of maternal health issues by community members. Conclusions: LHWs carry a large burden of responsibility for community health in rural Pakistan and appreciated the investment in their skills and capacity during the CLIP trial with the POM app. Investing in communications technology for community health workers through improved referrals and follow up may strengthen cohesiveness of the health system overall.

Project description:BACKGROUND:The utilization of routine health information is an essential factor of the structural capacity of health departments and public health performance depends on the effectiveness of information use for routine and programed decisions. Considerable research has been conducted in health data collection and ways to improve data quality, but little is known about utilization of routine health information among health workers in Ethiopia in general and in the study area in particular. OBJECTIVES:The aim of this study was to assess level of utilization of routine health information and associated factors among health workers in Hadiya zone, Southern Ethiopia, 2019. METHODS AND MATERIALS:Facility-based cross-sectional study design with both quantitative and qualitative data collection methods was employed at the Hadiya zone from March 10-25, 2019. A total of 480 health workers were included in the study and systematic random sampling was employed to select the health care workers in the study. The results were analyzed and presented in tables and graphs. Finally, the binary logistic regression was used to examine independent predictors. RESULT:Good level of utilization of routine health information was reported by 301 (62.7%, 95% CI: 58.5%-66.9%) of the health workers. Training [AOR = 8.12; 95% CI: (4.33-15.23)], supportive supervision [AOR = 2.34; 95% CI:(1.40-3.92)], good perceived culture of health information [AOR = 5.05; 95% CI: (2.99-8.50], having a standard set of indicators (AOR = 2.05 95%; CI: (1.23-3.41) and competence on routine health information tasks [AOR = 5.85; 95% CI: (3.41-10.02)] were independent predictors. CONCLUSION:Good level of utilization of routine health information was noted in less than two-third of the study participants. Further training, supportive supervision, perceived culture of health information, having standard set of indicators and competence on routine health information task were factors that improve routine health information utilization.

Project description:BACKGROUND:Providing compassionate and respectful maternity services in order to bring satisfaction to service users is one of the health extension services packages in Ethiopia. Though the service utilization and its associated factors have been well documented so far, yet there is a dearth of information on client satisfaction; particularly among rural women who are mostly the target groups of health extension services within the Ethiopia. Thus, this study aimed to assess mothers' satisfaction with health extension services and the associated factors in the Gamo Goffa Zone, of Southern Ethiopia. METHODS:A community based cross sectional study was conducted among 478 women from February 1st to February 28th of 2018. A pre-tested and interviewer administered questionnaire was used to collect the data. The study participants were selected using a systematic random sampling technique by allocating a proportion to each rural kebeles. Both bivariate and multivariate logistic regression analysis were performed to identify associated factors. Odds ratio with its 95% confidence interval was used to determine the degree of association. Level of statistical significance was set at a p-value of less than 0.05. RESULT:The overall proportion of mothers who were satisfied with health extension services was 37.4% with 95% CI (33-44%). Mothers who had good family monthly income [AOR = 4.66 (95% CI: 1.1, 20.6)], whose husbands participated in the health extension program [AOR = 4.02 (95% CI: 2.0, 8.1)], who had recent participation in planning of health extension programs [AOR = 5.75 (95% CI: 2.0, 16.5)], who were recognized as a model family [AOR = 2.23 (95% CI: 1.1, 4.6)] had higher odds of satisfaction with health extension services. CONCLUSION:Satisfaction with the health extension services was low among women in the study area. A better household monthly income, women's and their husbands' participation in health extension services and being a member of a model family were positively associated with their satisfaction. Interventions to enhance women's satisfaction in the health extension service need to focus on household-based involvement of them and their husbands in planning and implementing the services. Likewise, expansion of experiences of model families in the community would raise satisfaction levels.

Project description:IntroductionMaternal and child mortality remained higher in developing regions such as Southern Ethiopia due to poor maternal and child health. Technologies such as mobile applications in health may be an opportunity to reduce maternal and child mortality because they can improve access to information. Therefore, the main aim of this study was to explore the role of mHealth in improving maternal and child health in Southern Ethiopia.MethodsThis study employed a qualitative study design to explore the role of mHealth in improving maternal and child health among health professionals in Southern Ethiopia from December 2022 to March 2023. We conducted nine in-depth interviews, six key informants' in-depth interviews, and four focused group discussions among health professionals. This is followed by thematic analyses to synthesize the collected evidence.ResultsThe results are based on 226 quotations, 5 major themes, and 24 subthemes. The study participants discussed the possible acceptance of mHealth in terms of its fitness in the existing health system, its support to health professionals, and its importance in improving maternal and child health. The participants ascertained the importance of awareness creation before the implementation of mHealth among women, families, communities, and providers. They reported the importance of mHealth for mothers and health professionals and the effectiveness of mHealth services. The participants stated that the main challenges related to acceptance, awareness, negligence, readiness, and workload. However, they also suggested strategic solutions such as using family support, provider support, mothers' forums, and community forums.ConclusionThe evidence generated during this analysis is important information for program implementations and can inform policy-making. The planned intervention needs to introduce mHealth in Southern Ethiopia. Planners, decision-makers, and researchers can use it in mobile technology-related interventions. For challenges identified, we recommend solution-identified-based interventions and quality studies.

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Can mHealth improve timeliness and quality of health data collected and used by health extension workers in rural Southern Ethiopia?

Publications

Can mHealth improve timeliness and quality of health data collected and used by health extension workers in rural Southern Ethiopia?

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