| 1. |
- Baker, Ulrika, et al.
(författare)
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Bottlenecks in the implementation of essential screening tests in antenatal care : Syphilis, HIV, and anemia testing in rural Tanzania and Uganda
- 2015
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Ingår i: International Journal of Gynecology & Obstetrics. - : Wiley. - 0020-7292 .- 1879-3479. ; 130 Suppl 1, s. S43-S50
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Tidskriftsartikel (refereegranskat)abstract
- OBJECTIVE: To identify and compare implementation bottlenecks for effective coverage of screening for syphilis, HIV, and anemia in antenatal care in rural Tanzania and Uganda; and explore the underlying determinants and perceived solutions to overcome these bottlenecks.METHODS: In this multiple case study, we analyzed data collected as part of the Expanded Quality Management Using Information Power (EQUIP) project between November 2011 and April 2014. Indicators from household interviews (n=4415 mothers) and health facility surveys (n=122) were linked to estimate coverage in stages of implementation between which bottlenecks can be identified. Key informant interviews (n=15) were conducted to explore underlying determinants and analyzed using a framework approach.RESULTS: Large differences in implementation were found within and between countries. Availability and effective coverage was significantly lower for all tests in Uganda compared with Tanzania. Syphilis screening had the lowest availability and effective coverage in both countries. The main implementation bottleneck was poor availability of tests and equipment. Key informant interviews validated these findings and perceived solutions included the need for improved procurement at the central level.CONCLUSION: Our findings reinforce essential screening as a missed opportunity, caused by a lack of integration of funding and support for comprehensive antenatal care programs.
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| 2. |
- Baker, Ulrike, et al.
(författare)
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Health workers' experiences of collaborative quality improvement for maternal and newborn care in rural Tanzanian health facilities : A process evaluation using the integrated 'Promoting Action on Research Implementation in Health Services' framework
- 2018
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Ingår i: PLOS ONE. - : PUBLIC LIBRARY SCIENCE. - 1932-6203. ; 13:12
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Tidskriftsartikel (refereegranskat)abstract
- Background: Quality Improvement (OI) approaches are increasingly used to bridge the quality gap in maternal and newborn care (MNC) in Sub Saharan Africa. Health workers typically serve as both recipients and implementers of QI activities; their understanding, motivation, and level of involvement largely determining the potential effect. In support of efforts to harmonise and integrate the various QI approaches implemented in parallel in Tanzanian health facilities, our objective was to investigate how different components of a collaborative QI intervention were understood and experienced by health workers, and therefore contributed positively to its mechanisms of effect.Materials and methods: A qualitative process evaluation of a collaborative QI intervention for MNC in rural Tanzania was carried out. Semi-structured interviews were conducted with 16 health workers in 13 purposively sampled health facilities. A deductive theory-driven qualitative content analysis was employed using the integrated Promoting Action on Research Implementation in Health services (i-PARI HS) framework as a lens with its four constructs innovation, recipients, facilitation, and context as guiding themes.Results: Health workers valued the high degree of fit between QI topics and their everyday practice and appreciated the intervention's comprehensive approach. The use of run-charts to monitor progress was well understood and experienced as motivating. The importance and positive experience of on-site mentoring and coaching visits to individual health facilities was expressed by the majority of health workers. Many described the parallel implementation of various health programs as a challenge.Conclusion: Components of QI approaches that are well understood and experienced as supportive by health workers in everyday practice may enhance mechanisms of effect and result in more significant change. A focus on such components may also guide harmonisation, to avoid duplication and the implementation of parallel programs, and country ownership of QI approaches in resource limited settings.
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| 3. |
- Baker, Ulrika, et al.
(författare)
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Identifying implementation bottlenecks for maternal and newborn health interventions in rural districts of the United Republic of Tanzania
- 2015
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Ingår i: Bulletin of the World Health Organization. - 0042-9686 .- 1564-0604. ; 93:6, s. 380-389
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Tidskriftsartikel (refereegranskat)abstract
- Objective To estimate effective coverage of maternal and newborn health interventions and to identify bottlenecks in their implementation in rural districts of the United Republic of Tanzania. Methods Cross-sectional data from households and health facilities in Tandahimba and Newala districts were used in the analysis. We adapted Tanahashi's model to estimate intervention coverage in conditional stages and to identify implementation bottlenecks in access, health facility readiness and clinical practice. The interventions studied were syphilis and pre-eclampsia screening, partograph use, active management of the third stage of labour and postpartum care. Findings Effective coverage was low in both districts, ranging from only 3% for postpartum care in Tandahimba to 49% for active management of the third stage of labour in Newala. In Tandahimba, health facility readiness was the largest bottleneck for most interventions, whereas in Newala, it was access. Clinical practice was another large bottleneck for syphilis screening in both districts. Conclusion The poor effective coverage of maternal and newborn health interventions in rural districts of the United Republic of Tanzania reinforces the need to prioritize health service quality. Access to high-quality local data by decision-makers would assist planning and prioritization. The approach of estimating effective coverage and identifying bottlenecks described here could facilitate progress towards universal health coverage for any area of care and in any context.
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| 4. |
- Baker, Ulrika, et al.
(författare)
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Unpredictability dictates quality of maternal and newborn care provision in rural Tanzania : A qualitative study of health workers' perspectives
- 2017
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Ingår i: BMC Pregnancy and Childbirth. - : Springer Science and Business Media LLC. - 1471-2393 .- 1471-2393. ; 17
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Tidskriftsartikel (refereegranskat)abstract
- Background: Health workers are the key to realising the potential of improved quality of care for mothers and newborns in the weak health systems of Sub Saharan Africa. Their perspectives are fundamental to understand the effectiveness of existing improvement programs and to identify ways to strengthen future initiatives. The objective of this study was therefore to examine health worker perspectives of the conditions for maternal and newborn care provision and their perceptions of what constitutes good quality of care in rural Tanzanian health facilities. Methods: In February 2014, we conducted 17 in-depth interviews with different cadres of health workers providing maternal and newborn care in 14 rural health facilities in Tandahimba district, south-eastern Tanzania. These facilities included one district hospital, three health centres and ten dispensaries. Interviews were conducted in Swahili, transcribed verbatim and translated into English. A grounded theory approach was used to guide the analysis, the output of which was one core category, four main categories and several sub-categories. Results: `It is like rain' was identified as the core category, delineating unpredictability as the common denominator for all aspects of maternal and newborn care provision. It implies that conditions such as mothers' access to and utilisation of health care are unreliable; that availability of resources is uncertain and that health workers have to help and try to balance the situation. Quality of care was perceived to vary as a consequence of these conditions. Health workers stressed the importance of predictability, of `things going as intended', as a sign of good quality care. Conclusions: Unpredictability emerged as a fundamental condition for maternal and newborn care provision, an important determinant and characteristic of quality in this study. We believe that this finding is also relevant for other areas of care in the same setting and may be an important defining factor of a weak health system. Increasing predictability within health services, and focusing on the experience of health workers within these, should be prioritised in order to achieve better quality of care for mothers and newborns.
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| 5. |
- Day, Louise T., et al.
(författare)
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"Every Newborn-BIRTH" protocol : observational study validating indicators for coverage and quality of maternal and newborn health care in Bangladesh, Nepal and Tanzania
- 2019
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Ingår i: Journal of Global Health. - : International Global Health Society. - 2047-2978 .- 2047-2986. ; 9:1
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Tidskriftsartikel (refereegranskat)abstract
- Background: To achieve Sustainable Development Goals and Universal Health Coverage, programmatic data are essential. The Every Newborn Action Plan, agreed by all United Nations member states and >80 development partners, includes an ambitious Measurement Improvement Roadmap. Quality of care at birth is prioritised by both Every Newborn and Ending Preventable Maternal Mortality strategies, hence metrics need to advance from health service contact alone, to content of care. As facility births increase, monitoring using routine facility data in DHIS2 has potential, yet validation research has mainly focussed on maternal recall surveys. The Every Newborn - Birth Indicators Research Tracking in Hospitals (EN-BIRTH) study aims to validate selected newborn and maternal indicators for routine tracking of coverage and quality of facility-based care for use at district, national and global levels.Methods: EN-BIRTH is an observational study including >20000 facility births in three countries (Tanzania, Bangladesh and Nepal) to validate selected indicators. Direct clinical observation will be compared with facility register data and a pre-discharge maternal recall survey for indicators including: uterotonic administration, immediate newborn care, neonatal resuscitation and Kangaroo mother care. Indicators including neonatal infection management and antenatal corticosteroid administration, which cannot be easily observed, will be validated using inpatient records. Trained clinical observers in Labour/Delivery ward, Operation theatre, and Kangaroo mother care ward/areas will collect data using a tablet-based customised data capturing application. Sensitivity will be calculated for numerators of all indicators and specificity for those numerators with adequate information. Other objectives include comparison of denominator options (ie, true target population or surrogates) and quality of care analyses, especially regarding intervention timing. Barriers and enablers to routine recording and data usage will be assessed by data flow assessments, quantitative and qualitative analyses.Conclusions: To our knowledge, this is the first large, multi-country study validating facility-based routine data compared to direct observation for maternal and newborn care, designed to provide evidence to inform selection of a core list of indicators recommended for inclusion in national DHIS2. Availability and use of such data are fundamental to drive progress towards ending the annual 5.5 million preventable stillbirths, maternal and newborn deaths.
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| 6. |
- Day, Louise T, et al.
(författare)
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"Every Newborn-BIRTH" protocol: observational study validating indicators for coverage and quality of maternal and newborn health care in Bangladesh, Nepal and Tanzania.
- 2019
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Ingår i: Journal of global health. - : International Global Health Society. - 2047-2986 .- 2047-2978. ; 9:1
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Tidskriftsartikel (refereegranskat)abstract
- To achieve Sustainable Development Goals and Universal Health Coverage, programmatic data are essential. The Every Newborn Action Plan, agreed by all United Nations member states and >80 development partners, includes an ambitious Measurement Improvement Roadmap. Quality of care at birth is prioritised by both Every Newborn and Ending Preventable Maternal Mortality strategies, hence metrics need to advance from health service contact alone, to content of care. As facility births increase, monitoring using routine facility data in DHIS2 has potential, yet validation research has mainly focussed on maternal recall surveys. The Every Newborn - Birth Indicators Research Tracking in Hospitals (EN-BIRTH) study aims to validate selected newborn and maternal indicators for routine tracking of coverage and quality of facility-based care for use at district, national and global levels.EN-BIRTH is an observational study including >20 000 facility births in three countries (Tanzania, Bangladesh and Nepal) to validate selected indicators. Direct clinical observation will be compared with facility register data and a pre-discharge maternal recall survey for indicators including: uterotonic administration, immediate newborn care, neonatal resuscitation and Kangaroo mother care. Indicators including neonatal infection management and antenatal corticosteroid administration, which cannot be easily observed, will be validated using inpatient records. Trained clinical observers in Labour/Delivery ward, Operation theatre, and Kangaroo mother care ward/areas will collect data using a tablet-based customised data capturing application. Sensitivity will be calculated for numerators of all indicators and specificity for those numerators with adequate information. Other objectives include comparison of denominator options (ie, true target population or surrogates) and quality of care analyses, especially regarding intervention timing. Barriers and enablers to routine recording and data usage will be assessed by data flow assessments, quantitative and qualitative analyses.To our knowledge, this is the first large, multi-country study validating facility-based routine data compared to direct observation for maternal and newborn care, designed to provide evidence to inform selection of a core list of indicators recommended for inclusion in national DHIS2. Availability and use of such data are fundamental to drive progress towards ending the annual 5.5 million preventable stillbirths, maternal and newborn deaths.
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| 7. |
- 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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| 8. |
- 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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