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- Adane, Abyot, et al.
(författare)
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Routine health management information system data in Ethiopia : consistency, trends, and challenges
- 2021
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Ingår i: Global Health Action. - : Taylor & Francis. - 1654-9716 .- 1654-9880. ; 14:1
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Tidskriftsartikel (refereegranskat)abstract
- Background: Ethiopia is investing in the routine Health Management Information System. Improved routine data are needed for decision-making in the health sector.Objective: To analyse the quality of the routine Health Management Information System data and triangulate with other sources, such as the Demographic and Health Surveys.Methods: We analysed national Health Management Information System data on 19 indicators of maternal health, neonatal survival, immunization, child nutrition, malaria, and tuberculosis over the 2012-2018 time period. The analyses were conducted by 38 analysts from the Ministry of Health, Ethiopia, and two government agencies who participated in the Operational Research and Coaching for Analysts (ORCA) project between June 2018 and June 2020. Using a World Health Organization Data Quality Review toolkit, we assessed indicator definitions, completeness, internal consistency over time and between related indicators, and external consistency compared with other data sources.Results: Several services reported coverage of above 100%. For many indicators, denominators were based on poor-quality population data estimates. Data on individual vaccinations had relatively good internal consistency. In contrast, there was low external consistency for data on fully vaccinated children, with the routine Health Management Information System showing 89% coverage but the Demographic and Health Survey estimate at 39%. Maternal health indicators displayed increasing coverage over time. Indicators on child nutrition, malaria, and tuberculosis were less consistent. Data on neonatal mortality were incomplete and operationalised as mortality on day 0-6. Our comparisons with survey and population projections indicated that one in eight early neonatal deaths were reported in the routine Health Management Information System. Data quality varied between regions.Conclusions: The quality of routine data gathered in the health system needs further attention. We suggest regular triangulation with data from other sources. We recommend addressing the denominator issues, reducing the complexity of indicators, and aligning indicators to international definitions.
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| 2. |
- Hanson, Claudia, et al.
(författare)
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Expanded Quality Management Using Information Power (EQUIP) : protocol for a quasi-experimental study to improve maternal and newborn health in Tanzania and Uganda.
- 2014
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Ingår i: Implementation Science. - : Springer Science and Business Media LLC. - 1748-5908. ; 9
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: Maternal and newborn mortality remain unacceptably high in sub-Saharan Africa. Tanzania and Uganda are committed to reduce maternal and newborn mortality, but progress has been limited and many essential interventions are unavailable in primary and referral facilities. Quality management has the potential to overcome low implementation levels by assisting teams of health workers and others finding local solutions to problems in delivering quality care and the underutilization of health services by the community. Existing evidence of the effect of quality management on health worker performance in these contexts has important limitations, and the feasibility of expanding quality management to the community level is unknown. We aim to assess quality management at the district, facility, and community levels, supported by information from high-quality, continuous surveys, and report effects of the quality management intervention on the utilization and quality of services in Tanzania and Uganda.METHODS: In Uganda and Tanzania, the Expanded Quality Management Using Information Power (EQUIP) intervention is implemented in one intervention district and evaluated using a plausibility design with one non-randomly selected comparison district. The quality management approach is based on the collaborative model for improvement, in which groups of quality improvement teams test new implementation strategies (change ideas) and periodically meet to share results and identify the best strategies. The teams use locally-generated community and health facility data to monitor improvements. In addition, data from continuous health facility and household surveys are used to guide prioritization and decision making by quality improvement teams as well as for evaluation of the intervention. These data include input, process, output, coverage, implementation practice, and client satisfaction indicators in both intervention and comparison districts. Thus, intervention districts receive quality management and continuous surveys, and comparison districts-only continuous surveys.DISCUSSION: EQUIP is a district-scale, proof-of-concept study that evaluates a quality management approach for maternal and newborn health including communities, health facilities, and district health managers, supported by high-quality data from independent continuous household and health facility surveys. The study will generate robust evidence about the effectiveness of quality management and will inform future nationwide implementation approaches for health system strengthening in low-resource settings.TRIAL REGISTRATION: PACTR201311000681314.
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| 3. |
- Rodrigues, Amabelia, et al.
(författare)
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Revaccination with Bacillus Calmette-Guerin (BCG) vaccine does not reduce morbidity from malaria in African children
- 2007
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Ingår i: Tropical Medicine & International Health. - : Wiley. - 1365-3156 .- 1360-2276. ; 12:2, s. 224-229
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: Studies in West Africa and elsewhere have suggested that Bacillus Calmette-Guerin (BCG) vaccine given at birth is beneficial for child survival. It is possible that this effect is mediated partly through an effect on malaria, a hypothesis supported by animal studies. We investigated whether revaccination with BCG at 19 months of age reduced morbidity from malaria. METHOD: In the capital of Guinea-Bissau, between January and November 2003, children who had previously received BCG vaccination and who did not have a strong reaction to tuberculin were individually randomised to either receive revaccination with BCG at the age of 19 months or to be a control. Episodes of malaria were recorded during the 2003 malaria transmission season through passive case detection at health centres in the study area and at the national hospital. Cross-sectional surveys were carried out at the beginning and at the end of the rainy season. RESULTS: Incidence rates of first episodes of malaria associated with any level of parasitaemia were 0.16 episodes per child-year among 713 revaccinated children and 0.12 among 720 control children [incidence rate ratio (IRR) = 1.37; 95% confidence intervals (CI): 0.84-2.25]. Results were similar when the diagnosis of malaria was based on the presence of parasitaemia >5000 parasites/microl (IRR = 1.30; 95% CI: 0.61-2.77). The incidence of all-cause hospitalisation was higher among BCG-revaccinated children than among controls (IRR = 2.13; 95% CI: 1.10-4.13). There were no significant differences in the prevalence of parasitaemia between the two groups of children at cross-sectional surveys. CONCLUSION: We found no evidence that BCG revaccination reduces morbidity from malaria.
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| 4. |
- Shamba, Donat, et al.
(författare)
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Barriers and enablers to routine register data collection for newborns and mothers: EN-BIRTH multi-country validation study.
- 2021
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Ingår i: BMC pregnancy and childbirth. - : Springer Science and Business Media LLC. - 1471-2393. ; 21:Suppl 1
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Tidskriftsartikel (refereegranskat)abstract
- Policymakers need regular high-quality coverage data on care around the time of birth to accelerate progress for ending preventable maternal and newborn deaths and stillbirths. With increasing facility births, routine Health Management Information System (HMIS) data have potential to track coverage. Identifying barriers and enablers faced by frontline health workers recording HMIS source data in registers is important to improve data for use.The EN-BIRTH study was a mixed-methods observational study in five hospitals in Bangladesh, Nepal and Tanzania to assess measurement validity for selected Every Newborn coverage indicators. We described data elements required in labour ward registers to track these indicators. To evaluate barriers and enablers for correct recording of data in registers, we designed three interview tools: a) semi-structured in-depth interview (IDI) guide b) semi-structured focus group discussion (FGD) guide, and c) checklist assessing care-to-documentation. We interviewed two groups of respondents (January 2018-March 2019): hospital nurse-midwives and doctors who fill ward registers after birth (n = 40 IDI and n = 5 FGD); and data collectors (n = 65). Qualitative data were analysed thematically by categorising pre-identified codes. Common emerging themes of barriers or enablers across all five hospitals were identified relating to three conceptual framework categories.Similar themes emerged as both barriers and enablers. First, register design was recognised as crucial, yet perceived as complex, and not always standardised for necessary data elements. Second, register filling was performed by over-stretched nurse-midwives with variable training, limited supervision, and availability of logistical resources. Documentation complexity across parallel documents was time-consuming and delayed because of low staff numbers. Complete data were valued more than correct data. Third, use of register data included clinical handover and monthly reporting, but little feedback was given from data users.Health workers invest major time recording register data for maternal and newborn core health indicators. Improving data quality requires standardised register designs streamlined to capture only necessary data elements. Consistent implementation processes are also needed. Two-way feedback between HMIS levels is critical to improve performance and accurately track progress towards agreed health goals.
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| 5. |
- Tancred, Tara, et al.
(författare)
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How people-centred health systems can reach the grassroots : experiences implementing community-level quality improvement in rural Tanzania and Uganda
- 2018
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Ingår i: Health Policy and Planning. - : Oxford University Press (OUP). - 0268-1080 .- 1460-2237. ; 33:1, s. e1-e13
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Tidskriftsartikel (refereegranskat)abstract
- BackgroundQuality improvement (QI) methods engage stakeholders in identifying problems, creating strategies called change ideas to address those problems, testing those change ideas and scaling them up where successful. These methods have rarely been used at the community level in low-income country settings. Here we share experiences from rural Tanzania and Uganda, where QI was applied as part of the Expanded Quality Management Using Information Power (EQUIP) intervention with the aim of improving maternal and newborn health. Village volunteers were taught how to generate change ideas to improve health-seeking behaviours and home-based maternal and newborn care practices. Interaction was encouraged between communities and health staff.AimTo describe experiences implementing EQUIP’s QI approach at the community level.MethodsA mixed methods process evaluation of community-level QI was conducted in Tanzania and a feasibility study in Uganda. We outlined how village volunteers were trained in and applied QI techniques and examined the interaction between village volunteers and health facilities, and in Tanzania, the interaction with the wider community also.ResultsVillage volunteers had the capacity to learn and apply QI techniques to address local maternal and neonatal health problems. Data collection and presentation was a persistent challenge for village volunteers, overcome through intensive continuous mentoring and coaching. Village volunteers complemented health facility staff, particularly to reinforce behaviour change on health facility delivery and birth preparedness. There was some evidence of changing social norms around maternal and newborn health, which EQUIP helped to reinforce.ConclusionsCommunity-level QI is a participatory research approach that engaged volunteers in Tanzania and Uganda, putting them in a central position within local health systems to increase health-seeking behaviours and improve preventative maternal and newborn health practices.
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