Search results

Africa has been identified as an area where higher mortality happens due to un-accessibility to health care, drugs and other health facilities. Nigeria, as one of the African countries, is not excluded from such difficulties. This study aims to examine the determinants of efficient last-mile delivery at selected health facilities and the Kaduna State Health Supplies Management Agency (KADSHMA).

The study sourced data from KADSHMA and the health facilities’ staff, with a total of 261 observations used. Likewise, the respondents were picked from warehouses of each health facility and KADSHMA. The data was analysed using the partial least square structural equation modelling analysis to estimate the relationship among the variables of the study.

The study’s findings revealed that all five variables of the study (i.e. determinants) were significantly affecting the efficient last-mile delivery. Four constructs (delivery cost [DC], delivery time [DT], mode of delivery [MD] and facilities technology [FT]) have shown a positive and significant association with efficient last-mile delivery, whereas one variable (product mix [PM]) indicated a negative and significant association with efficient last-mile delivery. The study concludes that DC, DT, MD, FT and PM played significant roles in efficient last-mile delivery.

The study provides that specific means of transportation should always be on standby to transport health supplies. Time schedules should always be prepared and adhered to when transporting health supplies to the facilities, and each facility should network with robust technology to ease communication in terms of order and order planning. Additionally, facilities should try as much as possible to reduce the varieties of products when ordering health supplies, as it will increase the efficiency of the delivery.

To the best of the authors’ knowledge, this study is the first of its kind that considered these five variables (DC, DT, MD, FT and PM) with impact on the last-mile delivery in one model, especially in the Nigerian case. This is a great contribution to knowledge, more importantly, to the last-mile delivery of the health sector. The result confirmed the importance of these determinants (DC, DT, FT and PM) of last-mile delivery efficiency in saving lives.

Objective – Nepal's Safe Delivery Incentive Programme (SDIP) was introduced nationwide in 2005 with the aim of encouraging greater use of professional care at childbirth. It provided cash to women giving birth in a public health facility and an incentive to the health provider for each delivery attended, either at home or in the facility. We aimed to assess the impact of the programme on neonatal mortality and health care seeking behaviour at childbirth in one district of Nepal.

Methods – Impacts were identified using an interrupted time series approach, applied to household data. We estimated a model linking the level of each outcome at a point in time to the start of the programme, demographic controls, a vector of time variables and community-level fixed effects.

Findings – The recipients of the cash transfer in the programme's first two years were disproportionately wealthier households, reflecting existing inequality in the use of government maternity services. In places with women's groups – where information about the policy was widely disseminated – the SDIP substantially increased skilled birth attendance, but failed to impact on either neonatal mortality or the caesarean section rate. In places with no women's groups, the SDIP had no impact on utilisation outcomes or neonatal mortality.

Implications for policy – The lack of any impact on neonatal mortality suggests that greater increases in utilisation or better quality of care are needed to improve health outcomes. The SDIP changed health care seeking behaviour only in those areas with women's groups highlighting the importance of effective communication of the policy to the wider public.

The purpose of this paper is to describe a quality improvement (QI) intervention in primary health facilities providing childbirth care in rural Southern Tanzania.

A QI collaborative model involving district managers and health facility staff was piloted for 6 months in 4 health facilities in Mtwara Rural district and implemented for 18 months in 23 primary health facilities in Ruangwa district. The model brings together healthcare providers from different health facilities in interactive workshops by: applying QI methods to generate and test change ideas in their own facilities; using local data to monitor improvement and decision making; and health facility supervision visits by project and district mentors. The topics for improving childbirth were deliveries and partographs.

Median monthly deliveries increased in 4 months from 38 (IQR 37-40) to 65 (IQR 53-71) in Mtwara Rural district, and in 17 months in Ruangwa district from 110 (IQR 103-125) to 161 (IQR 148-174). In Ruangwa health facilities, the women for whom partographs were used to monitor labour progress increased from 10 to 57 per cent in 17 months.

The time for QI innovation, testing and implementation phases was limited, and the study only looked at trends. The outcomes were limited to process rather than health outcome measures.

Healthcare providers became confident in the QI method through engagement, generating and testing their own change ideas, and observing improvements. The findings suggest that implementing a QI initiative is feasible in rural, low-income settings.

The aim of this study was to explore the reasons for preferring home as a birth delivery place and identify the socio-economic and cultural factors influencing the choice of delivery place in rural Bangladesh.

The data for the study come from a community-based cross-sectional study conducted among 464 mothers in a rural sub-district of Bangladesh in 2019. Respondents were selected randomly from the frame listing all mothers with inclusion criteria, using a two-stage cluster sampling design. Data were collected through a face-to-face interview. Both descriptive and inferential statistics and logistic regression models were used for data analysis.

The results indicate a very high rate (58%) of home delivery. About 20% mothers never received ANC visit. Preference for home delivery was high (63%). Mothers with no education, aged 30 and above, multi-parity, low wealth status, lack of knowledge about institutional delivery, no or <4 ANC visits, received no advice about the delivery place, no pregnancy complications, decision about health care, and prior plan for home delivery were identified as significant predictors of home delivery. Cost of services, cultural practices and attitude towards health facility, lack of a female delivery assistant, perceived fear of caesarian section, poor quality of services, and lack of knowledge about maternity services appeared as important barriers for institutional delivery.

Based on primary data from a rural area, this study would help understand reasons and factors affecting home delivery and developing an appropriate strategy for the improvement of institutional delivery and maternity care services in Bangladesh.

Gombe state in northeast Nigeria records a high prevalence of home deliveries with very low facility deliveries despite the efforts of government and international non-governmental organizations in supporting maternal health services. The purpose of this paper is to assess the factors influencing the decision to choose a birth center by pregnant women in Gombe, Nigeria.

The design was a cross-sectional study of women from a baseline survey conducted in August 2016 in Gombe state, Nigeria. Data on women groups’ utilization of maternal services with a focus on antenatal care, delivery and postnatal care were collected using a structured questionnaire used for household survey conducted in the state. Data for 157 pregnant women from the sample of 750 women (15–49 years) were selected for the purpose of this analysis. Descriptive statistics, bivariate and multivariate analyses were used to determine the factors associated with choice of birth center.

Religion (AOR=12.117, 95% CI 1.774–82.741), paid work (AOR=3.633, 95% CI 1.243–10.615) and identification and knowledge of pregnancy complications (AOR=4.281, 95% CI 1.054–17.387) were the factors found to be significantly associated with choice of birth center by pregnant women. Age, education, closeness to a facility and decision by husband or woman were not found to be statistically significant.

The significance of disseminating knowledge about pregnancy complications, role of religious leaders and encouraging savings from women earnings need attention of the government to improve facility-based delivery.

This paper aims to explore the determinants of maternal healthcare services (MHS) utilisation in Ghana.

In this paper, logit and negative binomial regressions were used to model data from a recent nationally representative survey (the 2017 Ghana Maternal Health Survey). The analysis is observational, without causal implications. The authors measure MHS utilisation by four indicators: antenatal care (ANC) use, the number of ANC clinic visits, choice of health facility delivery and postnatal care (PNC) use.

Age, parity, education, marital status, wealth, residence and health facilities concentration proved to be significant predictors of MHS use in Ghana. Specifically, older, married and educated women; women of lower parity; those living in urban areas and women from wealthier households were more likely to use MHS. The authors also find that health facilities and personnel predicted higher MHS use. Lastly, women with frequent stillbirths had higher MHS use.

The results for health facilities and personnel suggest that increasing the supply of health centres and workers may enhance MHS use. The authors conclude that women of lower socio-economic status have worse MHS use, meaning empowering such women might increase such women's MHS use.

Existing data suggest falling MHS use in Ghana. Yet, the extant works are based on relatively old data or lack external validity (besides using limited MHS indicators). This paper provides recent and generalisable evidence for public health policies. Additionally, this paper tests the statistical significance of some supply-side factors that have yet to be emphasised in the literature.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-03-2022-0199.

This study aims to measure the level of satisfaction among women with childbirth services provided at public health facilities. Further, to analyse the impact of their socio-economic and obstetric characteristics on their level of satisfaction.

To accomplish these objectives a cross-sectional survey was conducted in two districts of an Indian state, Bihar. Structured questionnaire was developed based on the scale proposed by Okumu and Oyugi (2018) both for vaginal and caesarean birth patients. For empirical analysis multiple linear regression model was employed.

Results suggest that majority of mothers are satisfied with the care they received during childbirth, regardless of whether they chose a caesarean (55%) or vaginal delivery (53%). Women report the lowest levels of satisfaction with postpartum care and the privacy that was preserved by healthcare personnel at health facility. Further the study also confirms the association between patient’s socio-economic characteristics and their satisfaction level.

This is the first study of its kind to highlight the situation of public healthcare system in Bihar, which is the third most populated state in India with poor social and health indicators.

The purpose of this paper is to explore the readiness of contracted and non-contracted first-level healthcare facilities in Pakistan to deliver quality maternal and neonatal health (MNH) care. A balanced scorecard (BSC) was used as the assessment framework.

Using a cross-sectional study design, two rural health centers (RHCs) contracted out to Aga Khan Health Service, Pakistan were compared with four government managed RHCs. A BSC was designed to assess RHC readiness to deliver good quality MNH care. In total 20 indicators were developed, representing five BSC domains: health facility functionality, service provision, staff capacity, staff and patient satisfaction. Validated data collection tools were used to collect information. Pearson χ2, Fisher’s Exact and the Mann-Whitney tests were applied as appropriate to detect significant service quality differences among the two facilities.

Contracted facilities were generally found to be better than non-contracted facilities in all five BSC domains. Patients’ inclination for facility-based delivery at contracted facilities was, however, significantly higher than non-contracted facilities (80 percent contracted vs 43 percent non-contracted, p=0.006).

The study shows that contracting out initiatives have the potential to improve MNH care.

This is the first study to compare MNH service delivery quality across contracted and non-contracted facilities using BSC as the assessment framework.

To achieve Goal 5 of the MDGs, the Government of Ghana introduced the free maternal health service system to break financial barriers of access to maternal care services. In spite of this, facility‐based deliveries continue to be low due partly to poor quality of antenatal care that prevents pregnant women from giving birth in hospitals. The aim of this study is to examine factors shaping quality of antenatal care in selected public hospitals in the country.

363 expectant mothers were randomly selected for interview. Women who have previously received antenatal care in the health facilities for at least two occasions were interviewed. Multivariate logistic regression model were computed to examine correlates of antenatal care quality.

The odds of reporting quality of antenatal care as good was higher among women aged between 30 and 34 years. Similarly women with junior/senior high education were more likely to report antenatal care quality as good. Distance to the health facilities generally influence women perception of antenatal care quality but the relative odds of reporting quality of care as good attenuated with proximity to the health facility. Five factors (pleasant interaction with providers, privacy during consultation, attentiveness of providers, adequate facilities and availability of drugs) emerged as statistically significant in explaining antenatal care quality after controlling for selected demographic variables.

Results of the study generally demonstrate the need to improve maternal services in public facilities to stimulate utilisation and facility‐based deliveries.

Huge gap exists between demand and supply of seeking health care leads to remain high maternal mortality in rural areas of Uttar Pradesh, India. The purpose of this paper is to make an effort in this direction.

This paper draws on Three Delays Model to understand the reasons behind poor maternal health outcomes among 964 currently married women aged 15–34, given birth in last two years preceding the survey including six case studies in poor settings of Northern India.

Receiving minimum four antenatal care and identifying the severity of obstetric complications during pregnancy was quite low (7 and 34 per cent, respectively). Major delay in seeking care in district was decision delay (average four days) followed by arranging transportation (average 4 hours) and start treatment within an hour after reaching health facility. Health services and trained human resources are mainly concentrated at towns and poor supply of drugs and equipment in labour room is always in demand at primary level in the district in area. Delays in decision making, travel and treatment compounded by ignorance of obstetric complications and poor healthcare infrastructure are the major contributing factors of maternal deaths in the district in area.

Interventions to improve timely seeking of medical care for obstetric complications may need to more effectively target husbands and family members rather than women. Strengthening of primary and secondary level facilities and timely referral to tertiary level care can play a crucial role in improving obstetric care in the district in rural areas.