Community health workers (CHWs) have a unique position between communities and the health sector. The strength of CHWs' relationships with both sides influences their motivation and performance. This qualitative comparative study aimed at understanding similarities and differences in how relationships between CHWs, communities and the health sector were shaped in different Sub-Saharan African settings. The study demonstrates a complex interplay of influences on trust and CHWs' relationships with their communities and actors in the health sector. Mechanisms influencing relationships were feelings of (dis)connectedness, (un)familiarity and serving the same goals, and perceptions of received support, respect, competence, honesty, fairness and recognition. Sometimes, constrained relationships between CHWs and the health sector resulted in weaker relationships between CHWs and communities. The broader context (such as the socio-economic situation) and programme context (related to, for example, task-shifting, volunteering and supervision) in which these mechanisms took place were identified. Policy-makers and programme managers should take into account the broader context and could adjust CHW programmes so that they trigger mechanisms that generate trusting relationships between CHWs, communities and other actors in the health system. This can contribute to enabling CHWs to perform well and responding to the opportunities offered by their unique intermediary position.
BackgroundHealth extension workers (HEWs) in Ethiopia have a unique position, connecting communities to the health sector. This intermediary position requires strong interpersonal relationships with actors in both the community and health sector, in order to enhance HEW performance. This study aimed to understand how relationships between HEWs, the community and health sector were shaped, in order to inform policy on optimizing HEW performance in providing maternal health services.MethodsWe conducted a qualitative study in six districts in the Sidama zone, which included focus group discussions (FGDs) with HEWs, women and men from the community and semi-structured interviews with HEWs; key informants working in programme management, health service delivery and supervision of HEWs; mothers; and traditional birth attendants. Respondents were asked about facilitators and barriers regarding HEWs’ relationships with the community and health sector. Interviews and FGDs were recorded, transcribed, translated, coded and thematically analysed.ResultsHEWs were selected by their communities, which enhanced trust and engagement between them. Relationships were facilitated by programme design elements related to support, referral, supervision, training, monitoring and accountability. Trust, communication and dialogue and expectations influenced the strength of relationships. From the community side, the health development army supported HEWs in liaising with community members. From the health sector side, top-down supervision and inadequate training possibilities hampered relationships and demotivated HEWs. Health professionals, administrators, HEWs and communities occasionally met to monitor HEW and programme performance. Expectations from the community and health sector regarding HEWs’ tasks sometimes differed, negatively affecting motivation and satisfaction of HEWs.ConclusionHEWs’ relationships with the community and health sector can be constrained as a result of inadequate support systems, lack of trust, communication and dialogue and differing expectations. Clearly defined roles at all levels and standardized support, monitoring and accountability, referral, supervision and training, which are executed regularly with clear communication lines, could improve dialogue and trust between HEWs and actors from the community and health sector. This is important to increase HEW performance and maximize the value of HEWs’ unique position.
Supportive supervision is an important element of community health worker (CHW) programmes and is believed to improve CHW motivation and performance. A group supervision intervention, which included training and mentorship of supervisors, was implemented in Ethiopia, Kenya, Malawi and Mozambique. In three of the countries, this was combined with individual and/or peer supervision. A mixed-methods implementation study was conducted to assess the effect of the supervision intervention on CHWs’ perceptions of supervision and CHW motivation-related outcomes. In total, 153 in-depth interviews were conducted with CHWs, their supervisors and managers. In addition, questionnaires assessing perceived supervision and motivation-related outcomes (organizational and community commitment, job satisfaction and conscientiousness) were administered to a total of 278 CHWs pre- and post-intervention, and again after 1 year. Interview transcripts were thematically analysed using a coding framework. Changes in perceived supervision and motivation-related outcomes were assessed using Friedman’s ANOVA and post hoc Wilcoxon signed-rank tests. Interview participants reported that the supervision intervention improved CHW motivation. In contrast, the quantitative survey found no significant changes for measures of perceived supervision and inconsistent changes in motivation-related outcomes. With regard to the process of supervision, the problem-solving focus, the sense of joint responsibilities and team work, cross-learning and skill sharing, as well as the facilitating and coaching role of the supervisor, were valued. The empowerment and participation of supervisees in decision making also emerged in the analysis, albeit to a lesser extent. Although qualitative and quantitative findings differed, which could be related to the slightly different focus of methods used and a ‘ceiling effect’ limiting the detection of observable differences from the survey, the study suggests that there is potential for integrating supportive group supervision models in CHW programmes. A combination of group with individual or peer supervision, preferably accompanied with methods that assess CHW performance and corresponding feedback systems, could yield improved motivation and performance.
BackgroundIn 2015 the maternal mortality ratio for Ethiopia was 353 per 100,000 live births. Large numbers of women do not use maternal health services. This study aimed to identify factors influencing the use of maternal health services at the primary health care unit (PHCU) level in rural communities in Sidama zone, south Ethiopia in order to design quality improvement interventions.MethodsWe conducted a qualitative study in six woredas in 2013: 14 focus group discussions (FGDs) and 44 in-depth interviews with purposefully selected community members (women, male, traditional birth attendants, local kebele administrators), health professionals and health extension workers (HEWs) at PHCUs. We digitally recorded, transcribed and thematically analysed the interviews and FGDs using Nvivo. The ‘three delay model’ informed the analytical process and discussion of barriers to the use of maternal health services.ResultsLack of knowledge on danger signs and benefits of maternal health services; cultural and traditional beliefs; trust in TBAs; lack of decision making power of women, previous negative experiences with health facilities; fear of going to an unfamiliar setting; lack of privacy and perceived costs of maternal health services were the main factors causing the first delay in deciding to seek care. Transport problems in inaccessible areas were the main contributing factor for the second delay on reaching care facilities. Lack of logistic supplies and equipment, insufficient knowledge and skills and unprofessional behaviour of health workers were key factors for the third delay in accessing quality care.ConclusionsUse of maternal health services at the PHCU level in Sidama zone is influenced by complex factors within the community and health system. PHCUs should continue to implement awareness creation activities to improve knowledge of the community on complications of pregnancy and benefits of maternal health services. The health system has to be responsive to community’s cultural norms and practices. The mangers of the woreda health office and health centres should take into account the available budgets; work on ensuring the necessary logistics and supplies to be in place at PHCU.Electronic supplementary materialThe online version of this article (10.1186/s12884-018-1721-5) contains supplementary material, which is available to authorized users.
BackgroundThere is considerable optimism in mHealth’s potential to overcome health system deficiencies, yet gender inequalities can weaken attempts to scale-up mHealth initiatives. We report on the gendered experiences of an mHealth intervention, in Southern Ethiopia, realised by the all-female cadre of Health Extension Workers (HEWs).MethodologyFollowing the introduction of the mHealth intervention, in-depth interviews (n = 19) and focus group discussions (n = 8) with HEWs, supervisors and community leaders were undertaken to understand whether technology acted as an empowering tool for HEWs. Data was analysed iteratively using thematic analysis informed by a socio-ecological model, then assessed against the World Health Organisation’s gender responsive assessment scale.ResultsHEWs reported experiencing: improved status after the intervention; respect from community members and were smartphone gatekeepers in their households. HEWs working alone at health posts felt smartphones provided additional support. Conversely, smartphones introduced new power dynamics between HEWs, impacting the distribution of labour. There were also negative cost implications for the HEWs, which warrant further exploration.ConclusionMHealth has the potential to improve community health service delivery and the experiences of HEWs who deliver it. The introduction of this technology requires exploration to ensure that new gender and power relations transform, rather than disadvantage, women.Keywordscommunities, e-health, gender
BackgroundHealth 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.MethodologyWe 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.ResultsThe 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.DiscussionMobile 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.KeywordsCHWs, equity, ethics, Ethiopia, Health Management Information system, HEP, maternal health, mHealth, TB
OBJECTIVES: This study assesses the feasibility of female health extension workers (HEWs) using eHealth within their core duties, supporting both the design and capacity building for an eHealth system project focussed initially on tuberculosis, maternal child health, and gender equity.PARTICIPANTS: Health extension workers, Health Centre Heads, District Health Officers, Zonal Health Department and Regional Health Bureau representatives in Southern Ethiopia. SETTING:The study was undertaken in Southern Ethiopia with three districts in Sidama zone (population of 3.5 million) and one district in Gedeo zone (control zone with similar health service coverage and population density). METHODS:Mixed method baseline data collection was undertaken, using quantitative questionnaires (n = 57) and purposively sampled qualitative face-to-face semi-structured interviews (n = 10) and focus group discussions (n = 3). RESULTS:Themes were identified relating to HEW commitment and role, supervision, and performance management. The Health Management Information System (HMIS) was seen as important by all participants, but with challenges of information quality, accuracy, reliability and timeliness. Participants' perceptions varied by group regarding the purpose and benefits of HMIS as well as the potential of an eHealth system. Mobile phones were used regularly by all participants.CONCLUSION: eHealth technology presents a new opportunity for the Ethiopian health system to improve data quality and community health. Front-line female HEWs are a critical bridge between communities and health systems. Empowering HEWs, supporting them and responding to the challenges they face will be an important part of ensuring the sustainability and responsiveness of eHealth strategies. Findings have informed the subsequent eHealth technology design and implementation, capacity strengthening approach, supervision, and performance management approach.KEY WORDS: eHealth; health extension workers; Health Management Information Systems; tuberculosis; maternal child health; gender La traduction du résumé se trouve à la fin de l'article.
Introduction Maternal mortality studies conducted at national level do not provide information needed for planning and monitoring health programs at lower administrative levels. The aim of this study was to measure maternal mortality, identify risk factors and district level variations in Sidama National Regional State, southern Ethiopia. Methods A cross sectional population-based survey was carried in households where women reported pregnancy and birth outcomes in the past five years. The study was conducted in the Sidama National Regional State, southern Ethiopia, from July 2019 to May 2020. Multi-stage cluster sampling technique was employed. The outcome variable of the study was maternal mortality. Complex sample logistic regression analysis was applied to assess variables independently associated with maternal mortality. Results We registered 10602 live births (LB) and 48 maternal deaths yielding the overall maternal mortality ratio (MMR) of 419; 95% CI: 260–577 per 100,000 LB. Aroresa district had the highest MMR with 1142 (95% CI: 693–1591) per 100,000 LB. Leading causes of death were haemorrhage 21 (41%) and eclampsia 10 (27%). Thirty (59%) mothers died during labour or within 24 hours after delivery, 25 (47%) died at home and 17 (38%) at health facility. Mothers who did not have formal education had higher risk of maternal death (AOR: 4.4; 95% CI: 1.7–11.0). The risk of maternal death was higher in districts with low midwife to population ratio (AOR: 2.9; 95% CI: 1.0–8.9). Conclusion The high maternal mortality with district level variations in Sidama Region highlights the importance of improving obstetric care and employing targeted interventions in areas with high mortality rates. Due attention should be given to improving access to female education. Additional midwives have to be trained and deployed to improve maternal health services and consequently save the life of mothers.
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