Does mobile renewal make health insurance more responsive to clients? A case study of the National Health Insurance Scheme in Ghana.

BACKGROUND: In 2018, Ghana's National Health Insurance Authority (NHIA) introduced a mobile strategy to enhance re-enrolment and improve client knowledge of their entitlements. This study investigated how Ghana's mobile strategy has influenced the NHIA's responsiveness to clients in terms of patient rights and entitlements, equity and satisfaction with health services. METHODS: We surveyed people (n=1700) in 6 districts who had renewed their insurance in the previous 12 months, using any strategy (mobile or manual). Multiple regression analysis examined correlation between individual characteristics and renewal modality. Policy documents on the mobile programme's design and focus group discussions (n=12) on people's experiences renewing their insurance were analysed thematically. RESULTS: While the mobile platform was designed for mobile National Health Insurance Scheme (NHIS) renewal and to provide information about insurance entitlements, few people surveyed (20%) knew about these informational features. Among those who renewed their NHIS coverage, 58% did so on the mobile renewal platform. Mobile renewal was high among those with tertiary education and those in the higher wealth quintiles. Mobile renewal was considered convenient, but required literacy in English, a phone and a mobile money wallet. For those who lacked some or all of these prerequisites but wanted to use mobile renewal, mobile vendors emerged as valued facilitators. CONCLUSION: The mobile platform has increased the responsiveness of Ghana's NHIS through offering clients a more convenient mechanism to renew their insurance policies. It does not, however, eliminate the one month waiting period for activating the card, does not provide prompts to reassure clients of their renewal and does not empower most clients with information on entitlements. To improve the adoption and use of the mobile renewal strategy, the NHIA should publicise the platform's information-sharing functions and explore formally engaging mobile vendors.

Serum 25-hydroxyvitamin D and hyaluronic acid levels as markers of fibrosis in patients with chronic liver disease at the main tertiary referral hospital in Ghana: A case-control study design.

Background and Aims: Liver fibrosis leading to chronic liver disease (CLD) is a major cause of morbidity, mortality and health-care expenditure worldwide. The "gold standard" for diagnosis and staging of liver fibrosis is histological analysis of liver tissue obtained by liver biopsy, an invasive procedure. Therefore, there is the need to identify noninvasive and inexpensive markers for diagnosis and staging of liver fibrosis. This study aimed at evaluating the correlation of hyaluronic acid (HA) and 25-hydroxyvitamin D (25-OH vitamin D) serum levels as markers of fibrosis with histologically staged and graded liver biopsies obtained from CLD patients. Methods: This was a case-control study involving 40 CLD patients requiring liver biopsies and 40 controls. Liver biopsies were staged to determine the degree of fibrosis. Serum levels of 25-OH vitamin D and HA were determined using ELISA. Statistical analyses were performed to determine differences in HA and 25-OH vitamin D levels between controls and patients as well as to correlate the biomarkers with the stages of fibrosis. Results: CLD patients showed significant (p < 0.001) increase in the levels of AST, ALT, GGT, compared to the controls. Patients also had significantly (p < 0.001) lower serum 25-OH vitamin D and higher HA (p < 0.001) levels compared to the controls. Additionally, 25-OH vitamin D levels of the CLD patients were significantly different across the stages of liver fibrosis likewise serum HA levels. Furthermore, 25-OH vitamin D levels inversely correlated with the severity of liver fibrosis. A significant negative correlation (r = -0.33, p < 0.05) between CLD patients' HA and 25-OH vitamin D were found. Conclusion: CLD patients had significantly reduced serum 25-OH vitamin D and higher HA. Both markers correlated with the degree of liver fibrosis. These findings have major clinical translatable implication in the use of vitamin D supplementation in the management of CLD in Ghana.

Predictive model and determinants of odds of neonates dying within 28 days of life in Ghana.

BACKGROUND: One of the priorities and important current problem in public health research globally is modeling of neonatal mortality and its risk factors in using the appropriate statistical methods. It is believed that multiple risk factors interplay to increase the risk of neonatal mortality. To understand the risk factors of neonatal mortality in Ghana, the current study carefully evaluated and compared the predictive accuracy and performance of two classification models. METHODS: This study reviewed the birth history data collected on 5884 children born in the 5 years preceding the 2014 Ghana Demographic and Health Survey (GDHS). The 2014 GDHS is a cross-sectional nationally representative household sample survey. The relevant variables were selected using leaps-and-bounds method, and the area under curves were compared to evaluate the predictive accuracy of unweighted penalized and weighted single-level multivariable logistic regression models for predicting neonatal mortality using the 2014 GDHS data. RESULTS: The study found neonatal mortality prevalence of 2.8%. A sample of 4514 children born in the 5 years preceding the 2014 GDHS was included in the inferential analysis. The results of the current study show that for the unweighted penalized single-level multivariable logistic model, there is an increased risk of neonatal death among babies born to mothers who received prenatal care from non-skilled worker [OR: 3.79 (95% CI: 2.52, 5.72)], multiple births [OR: 3.10 (95% CI: 1.89, 15.27)], babies delivered through caesarian section [OR: 2.24 (95% CI: 1.30, 3.85)], and household with 1 to 4 members [OR: 5.74 (95% CI: 3.16, 10.43)], respectively. The predictive accuracy of the unweighted penalized and weighted single-level multivariable logistic regression models was 82% and 80%, respectively. CONCLUSION: The study advocates that prudent and holistic interventions should be institutionalized and implemented to address the risk factors identified in order to reduce neonatal death and, by large, improve child and maternal health outcomes to achieve the SDG target 3.2.