Conectar
Our objective was to assess the feasibility of using the routine health information system data source, District Health Information System (DHIS2) to measure the effective coverage of selected health service indicators in Ethiopia and to explore stakeholder perceptions of those measures.
We conducted a mixed-methods study. We mapped the availability of data elements in DHIS2 between July 2022 and June 2023 for five indicators (four or more antenatal care visits (ANC4+), skilled birth attendance, postnatal care, sick child care and child nutrition care). We defined effective coverage cascade steps for each indicator, assessed data quality and analysed data using STATA V.17. Finally, qualitative interviews were conducted with 15 key stakeholders, and the data were analysed thematically for reflections on the DHIS2 output.
The data were captured from all public health facilities of 11 regions and 2 administrative cities in Ethiopia.
There was better availability of data elements for maternal healthcare than for child healthcare. It was possible to estimate the intervention-adjusted coverage of ANC4+ (16% nationally) and the process-quality-adjusted coverage of skilled birth attendance (19% nationally). Postnatal care, sick child care and child nutrition indicators lacked data across multiple cascade steps. The quality of data for effective coverage measurement differed by region. The key informants expressed concerns about the adequacy and appropriateness of DHIS2 data for this analysis. While all acknowledged its potential for decision-making, respondents emphasised the need for standardised methods and data sources to enhance comparability and acceptability of the findings.
The findings underscore the need for system-level improvement of data availability and quality, and adoption of a standardised approach to calculating effective coverage using DHIS2. There was a concern that the findings may not be accepted by policymakers; however, the local level granularity made possible through DHIS2 was appreciated.
This study engaged key stakeholders—older adults, family caregivers, home care support workers, nurses, and home healthcare leaders—to explore perspectives on essential components and integration into home care models, and to explore the role of their technology readiness for health smart homes adoption.
A qualitative methodology with a quantitative component, early-phase exploratory design.
Semi-structured interviews underwent qualitative thematic analysis, with cross-case analysis comparing stakeholder perspectives to identify convergences and divergences. Descriptive statistics were used to analyse Technology Readiness Index (TRI 2.0) survey data to provide background and context to the qualitative findings.
Among 18 participants—older adults (n = 6), family caregivers (n = 2), nurses (n = 7), and support workers/healthcare leaders (n = 3)—findings reflected optimism for health smart home adoption and its potential to support ageing in place. Nurses and care workers saw health smart home as a tool for improving care coordination and quality of life. Key adoption considerations included education, data visualisation, privacy, and security. Technology readiness scores were moderate, with nurses scoring highest (3.52), followed by caregivers (3.41), support workers (3.13), and older adults (3.10).
While stakeholders were open to integrating health smart home into home care, concerns around usability, security, and training must be addressed to facilitate adoption.
Findings suggest that while health smart home technology holds promise for enhancing ageing in place, varying levels of technology readiness across stakeholders highlight the need for tailored education and support strategies to ensure successful implementation.
Despite a strong preference for ageing in place among older adults, integrating health smart home technologies into home care remains challenging. Key issues include ensuring intuitive functionality, protecting privacy, and clarifying the roles of caregivers and healthcare professionals in a technology-enhanced care model. This study addresses the critical gap in understanding how health smart home solutions can be effectively tailored to support the diverse needs of older adults, family caregivers, and home care nurses and support workers.
Stakeholders were generally optimistic about health smart home technologies supporting ageing in place and improving quality of life. Nurses and support workers highlighted the need for tailored data visualisations, alert parameters, and clear role guidelines. A novel finding was that older adults and family caregivers viewed health smart home as a way to reduce intrusive monitoring, promote independence, and maintain a familiar living environment. Family caregivers valued the ability to stay involved remotely through activity data, offering reassurance and peace of mind. Across all groups, privacy safeguards were seen as essential, with strong concerns about data security, transparent usage policies, and user control over data sharing.
Findings have implications for community-dwelling older adults, family caregivers, home care professionals, researchers, and technology developers. Insights from this study can inform the design of user-friendly health smart home technologies, shape future research, and guide tailored implementation strategies in home care settings.
An advisory group of community-dwelling older adults in Western Australia provided input on study design and methodology. Their recommendations led to the use of one-on-one interviews to ensure accessibility and relevance for older adults when exploring technology readiness and smart home integration. While the advisory group did not contribute to the data itself or its analysis, their feedback shaped the method of engagement to ensure its relevance and accessibility to potential participants.
To describe the lessons learnt during the promotion of a new approach to the care of critically ill patients in TanzaniaEssential Emergency and Critical Care (EECC).
A descriptive qualitative study using thematic analysis of structured interviews.
The study was conducted in Tanzania, involving 11 policymakers, researchers and senior clinicians who participated in the promotion of EECC in the country.
Five inter-related themes emerged from the promotion of EECC in Tanzania: (1) early and close collaboration with the government and stakeholders; (2) conduct research and use evidence; (3) prioritise advocacy and address misconceptions about EECC; (4) leverage events and embed activities in other health system interventions; and (5) employ a multifaceted implementation strategy. The themes map to the normalisation process theory domains of coherence, cognitive participation, collective action and reflexive monitoring.
The integration of EECC into Tanzania’s health policy is a result of a multidisciplinary collaboration including government and partners that has used evidence, advocacy and context and included multifaceted implementation strategies. The lessons from Tanzania’s experience provide guidance for adoption in similar settings to improve critical care systems, foster access to care and optimal outcomes for all critically ill patients.
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