Working with health workers to improve maternal health services

Poor quality of maternal and newborn health services in Uganda have resulted in low maternal health service utilisation and high newborn mortality rates, both at home and at health facilities. The support Future Health Systems (FHS) provided to health workers to improve maternal health service delivery illustrates how a package of interventions that equips health workers with the necessary knowledge, skills and equipment, supplies and other non-financial incentives can improve the quality of maternal and newborn health service deliver

Equity in the allocation of primary health care resources in Uganda

Includes bibliographical references

Saving money, saving lives: community saving groups lead to improvements in maternal and newborn health care in Uganda

Future Health Systems (FHS) work on maternal and newborn health in the poorest districts of eastern Uganda has contributed to a story of community empowerment where people have learnt to prioritise, prepare and save money for childbirth. This increases the likelihood of delivery in a health facility, and therefore the chances of a healthy pregnancy and safe childbirth under skilled care

Household preferences and willingness to pay for health insurance in Kampala City: a discrete choice experiment

Introduction: Uganda is in discussions to introduce a national health insurance scheme. However, there is a paucity of information on household preferences and willingness to pay for health insurance attributes that may guide the design of an acceptable health insurance scheme. Our study sought to assess household preferences and willingness to pay for health insurance in Kampala city using a discrete choice experiment. Methods: This study was conducted from 16th February 2020 to 10th April 2020 on 240 households in the Kawempe division of Kampala city stratified into slum and non-slum communities in order to get a representative sample of the area. We purposively selected the communities that represented slum and non-slum communities and thereafter applied systematic sampling in the selection of the households that participated in the study from each of the communities. Four household and policy-relevant attributes were used in the experimental design of the study. Each respondent attended to 9 binary choice sets of health insurance plans that included one fixed choice set. Data were analyzed using mixed logit models. Results: Households in both the non-slum and slum communities had a high preference for health insurance plans that included both private and public health care providers as compared to plans that included public health care providers only (non-slum coefficient β = 0.81, P < 0.05; slum β = 0.87, p < 0.05) and; health insurance plans that covered extended family members as compared to plans that had limitations on the number of family members allowed (non-slum β = 0.44, P < 0.05; slum β = 0.36, p < 0.05). Households in non-slum communities, in particular, had a high preference for health insurance plans that covered chronic illnesses and major surgeries to other plans (0.97 β, P < 0.05). Our findings suggest that location of the household influences willingness to pay with households from non-slum communities willing to pay more for the preferred attributes. Conclusion: Potential health insurance schemes should consider including both private and public health care providers and allow more household members to be enrolled in both slum and non-slum communities. However, the inclusion of more HH members should be weighed against the possible depletion of resources and other attributes. Potential health insurance schemes should also prioritize coverage for chronic illnesses and major surgeries in non-slum communities, in particular, to make the scheme attractive and acceptable for these communities

Quality of Antenatal care services in eastern Uganda: implications for interventions

Introduction More efforts need to be directed to improving the quality of maternal health in developing countries if we are to keep on track with meeting the fifth millennium development goal. The World Health Organization says developing countries account for over 90% of maternal deaths of which three fifths occur in Sub-Saharan African countries like Uganda. Abortion, obstetric complications such as hemorrhage, dystocia, eclampsia, and sepsis are major causes of maternal deaths here. Good quality Antenatal Care (ANC) provides opportunity to detect and respond to risky maternal conditions. This study assessed quality of ANC services in eastern Uganda with a goal of benchmarking implications for interventions. Methods Data was collected from 15 health facilities in Eastern Uganda to establish capacity of delivering ANC services. Observation checklists were used to assess structural components and completeness of the ANC consultation process among 291 women attending it. Lastly, structured exit-interviews were conducted to assess satisfaction of patients. Data analysis was done in STATA Version 10. Results There was an overall staffing gap of over 40%, while infection control facilities, drugs and supplies were inadequate. However, there was good existence of physical infrastructure and diagnostic equipment for ANC services. It was observed that counseling for risk factors and birth preparedness was poorly done; in addition essential tests were not done for the majority of clients. Conclusion To improve the quality of ANC, interventions need to improve staffing, infection control facilities and drug-supplies. In addition to better counseling for risk factor-recognition and birth preparedness.Pan African Medical Journal 2012; 13:2

Persisting demand and supply gap for maternal and newborn care in eastern Uganda: a mixed-method cross-sectional study

Background The slow progress in reducing maternal and newborn death in low and middle-income countries is attributed to both demand and supply-side factors. This study assessed the changes in maternal and newborn services in health facilities as well as demand for maternal and newborn health services in Eastern Uganda. Methods The health assessment data were collected in August 2013 and September 2015 in the districts of Kamuli, Pallisa, and Kibuku. We purposively collected data on the availability of services from 40 health facilities that provided maternal and newborn services. In addition, we conducted 24 focus group discussions (FGDs) with women and men; and 18 key informant interviews (KIs) with health workers. Results On the supply side, most health facilities persistently lacked lifesaving medicines such as misoprostol, IV Ampicillin, IV Gentamycin, IV Metronidazole, Magnesium Sulphate, Ergometrine, Corticosteroids, ferrous Sulphate, Folic Acid, Combined ferrous, Benzyl penicillin, and Diazepam (IM or IV). Basic newborn equipment such as stethoscope, fetal scope, working baby scale, newborn suction devices, newborn resuscitation device, and thermometer were persistently not available in most of the health facilities. Binders for Kangaroo Mother Care, blanket to wrap newborn, baby warmer or heat lamp were persistently not available in at least 80% of the health facilities. Other equipment for the management of labor and abortions such as Manual vacuum aspirator for abortion care, blank partographs and vacuum extractor were not available in most of the health facilities including referral facilities at baseline and follow-up. On the demand side, the qualitative interviews exposed long distances and inadequate transport to the health facilities, inadequate information, poverty, and poor services at the health facilities as major factors that impede women to utilize/access maternal and newborn services. Conclusion There are distinct influences on both demand and supply side, which restrain both health care uptake and its quality. The frequent disparity between the health facility readiness to provide services and the women readiness to utilize them needs to be addressed as the country intensifies its efforts to reduce maternal and newborn deaths through boosting facility deliveries

Cost of care for preterm babies to Clients and influence of costs on care in resource limited settings - Societal perspective: A case of Jinja Regional Referral Hospital in East central Uganda

Introduction: The costs of care for preterm birth to clients and the influence of costs on preterm care remain a significant issue to the health system and families globally especially in the low-middle income countries particularly, in Asia and sub-Saharan Africa with already constrained economies. However, this has not received worthwhile attention. We estimated the costs of care for preterm babies to families (clients) and the influence of costs on the care for preterm babies from a societal perspective in Jinja Regional Referral Hospital. Methods: This was a one-month survey from August 2016 — September 2016 through which we had exit interviews with 100 mothers to determine the costs on admission and followed up 82 mothers to determine follow up costs of all babies that were born preterm and weighed less than 2.5 kg either at discharge or follow up. A micro costing approach was used to compute client costs for preterm care. Mothers were asked to identify absolute costs incurred. We also reviewed medical records of patients and receipts that were available from clients. A likert scale was used to assess influence of costs on preterm care to mothers. This ranged from -5 to 5, where (+5 to +1) was high influence, (0) was neutral, (-5 to -1) was low influence. Respondents were also asked to give reasons for their answers. From the provider perspective, we conducted key informant interviews with health care workers to ascertain the influence of costs on preterm care from the provider perspective. Analysis of findings was done using the Microsoft excel sheet. Statistical analysis was done using Stata Version 13 to determine the influence of costs on the care of preterm babies from the client's perspective. Thematic analysis was used to analyze the influence of costs on care from the provider perspective. Costs were converted to US$for the annual exchange average rate of 2016. One-way sensitivity analysis was done to establish the impact of cost drivers on the total cost. Results: The total annual cost of preterm care from the client perspective was US$ 10,520.36 and the unit cost of care per preterm baby was US$ 105.2 at Jinja Regional Referral Hospital. Cost drivers included opportunity costs (i.e., potential benefits foregone by clients to take care of preterm babies), drug costs on follow up, supplies and feeding costs to the mothers/caregivers during admission. Drugs, supplies thermal care and feeding costs during admission were found to have a high influence on preterm care from a societal perspective. Conclusion: The cost of preterm care is high from the client perspective and is characterized by longer stay in hospital because of missed treatment due to stock outs and affordability constraints to clients, but also discharge against medical advice leading to poor survival of preterm babies. Improving funding for preterm care and welfare for caregivers during hospitalization may lead to better outcomes for preterm babies

Cost of care for preterm babies in Jinja Regional Referral Hospital, East-central Uganda: A provider perspective

Introduction: Preterm birth and its complications are a major global health burden and significantly contribute to the under-five mortality in Uganda. This study aimed at identifying the morbidities suffered by preterm babies and the cost of preterm care to the provider in Jinja Referral Hospital. Methods: This was a one-year cost analysis of preterm care from August 2015 – July 2016. The study took on a micro-costing approach, through which medical and accounting records, were reviewed for 507 preterm babies that were seen over the year to determine morbidities of preterm infants and costs from the provider perspective. Analysis of findings was done using a Microsoft excel sheet. Costs were converted to US$for the annual exchange average rate of 2016. One-way sensitivity analysis was done to establish the impact of cost drivers on the total cost. Results: We found that the most prevalent morbidities among preterm babies were; neonatal hyperbilirubinemia, respiratory distress and neonatal septicaemia. The total annual cost of preterm care from the provider perspective was US$ 54,108 and the unit cost of care per preterm baby was US$ 107 at Jinja Regional Referral Hospital. Cost drivers included; equipment, personnel and utility costs (water and electricity). Conclusion: The cost of preterm care is high and sub-optimal from a provider perspective. It is characterized by stockouts of drugs and supplies which are critical in the care that is required to boost the survival of preterm babies. Improving funding for preterm care may be helpful in enhancing preterm survival