Digital health systems strengthening in Africa for rapid response to COVID-19

The COVID-19 pandemic has painfully exposed the constraints of fragile health systems in low- and middle-income countries, where global containment measures largely set by high-income countries resulted in disproportionate collateral damage. In Africa, a shift is urgently needed from emergency response to structural health systems strengthening efforts, which requires coordinated interventions to increase access, efficiency, quality, transparency, equity, and flexibility of health services. We postulate that rapid digitalization of health interventions is a key way forward to increase resilience of African health systems to epidemic challenges. In this paper we describe how PharmAccess' ongoing digital health system interventions in Africa were rapidly customized to respond to COVID-19. We describe how we developed: a COVID-19 App for healthcare providers used by more than 1,000 healthcare facilities in 15 African countries from May–November 2020;digital loans to support private healthcare providers with USD 20 million disbursed to healthcare facilities impacted by COVID-19 in Kenya;a customized Dutch mobile COVID-19 triage App with 4,500 users in Ghana;digital diaries to track COVID-19 impacts on household expenditures and healthcare utilization;a public-private partnership for real-time assessment of COVID-19 diagnostics in West-Kenya;and an expanded mobile phone-based maternal and child-care bundle to include COVID-19 adapted services. We also discuss the challenges we faced, the lessons learned, the impact of these interventions on the local healthcare system, and the implications of our findings for policy-making. Digital interventions bring efficiency due to their flexibility and timeliness, allowing co-creation, targeting, and rapid policy decisions through bottom-up approaches. COVID-19 digital innovations allowed for cross-pollinating the interests of patients, providers, payers, and policy-makers in challenging times, showing how such approaches can pave the way to universal health coverage and resilient healthcare systems in Africa.

Digital health systems strengthening in Africa for rapid response to COVID-19.

The COVID-19 pandemic has painfully exposed the constraints of fragile health systems in low- and middle-income countries, where global containment measures largely set by high-income countries resulted in disproportionate collateral damage. In Africa, a shift is urgently needed from emergency response to structural health systems strengthening efforts, which requires coordinated interventions to increase access, efficiency, quality, transparency, equity, and flexibility of health services. We postulate that rapid digitalization of health interventions is a key way forward to increase resilience of African health systems to epidemic challenges. In this paper we describe how PharmAccess' ongoing digital health system interventions in Africa were rapidly customized to respond to COVID-19. We describe how we developed: a COVID-19 App for healthcare providers used by more than 1,000 healthcare facilities in 15 African countries from May-November 2020; digital loans to support private healthcare providers with USD 20 million disbursed to healthcare facilities impacted by COVID-19 in Kenya; a customized Dutch mobile COVID-19 triage App with 4,500 users in Ghana; digital diaries to track COVID-19 impacts on household expenditures and healthcare utilization; a public-private partnership for real-time assessment of COVID-19 diagnostics in West-Kenya; and an expanded mobile phone-based maternal and child-care bundle to include COVID-19 adapted services. We also discuss the challenges we faced, the lessons learned, the impact of these interventions on the local healthcare system, and the implications of our findings for policy-making. Digital interventions bring efficiency due to their flexibility and timeliness, allowing co-creation, targeting, and rapid policy decisions through bottom-up approaches. COVID-19 digital innovations allowed for cross-pollinating the interests of patients, providers, payers, and policy-makers in challenging times, showing how such approaches can pave the way to universal health coverage and resilient healthcare systems in Africa.

COVID-19 and mental health in 8 low- and middle-income countries: A prospective cohort study.

BACKGROUND: The Coronavirus Disease 2019 (COVID-19) pandemic and associated mitigation policies created a global economic and health crisis of unprecedented depth and scale, raising the estimated prevalence of depression by more than a quarter in high-income countries. Low- and middle-income countries (LMICs) suffered the negative effects on living standards the most severely. However, the consequences of the pandemic for mental health in LMICs have received less attention. Therefore, this study assesses the association between the COVID-19 crisis and mental health in 8 LMICs. METHODS AND FINDINGS: We conducted a prospective cohort study to examine the correlation between the COVID-19 pandemic and mental health in 10 populations from 8 LMICs in Asia, Africa, and South America. The analysis included 21,162 individuals (mean age 38.01 years, 64% female) who were interviewed at least once pre- as well as post-pandemic. The total number of survey waves ranged from 2 to 17 (mean 7.1). Our individual-level primary outcome measure was based on validated screening tools for depression and a weighted index of depression questions, dependent on the sample. Sample-specific estimates and 95% confidence intervals (CIs) for the association between COVID-19 periods and mental health were estimated using linear regressions with individual fixed effects, controlling for independent time trends and seasonal variation in mental health where possible. In addition, a regression discontinuity design was used for the samples with multiple surveys conducted just before and after the onset of the pandemic. We aggregated sample-specific coefficients using a random-effects model, distinguishing between estimates for the short (0 to 4 months) and longer term (4+ months). The random-effects aggregation showed that depression symptoms are associated with a increase by 0.29 standard deviations (SDs) (95% CI [-.47, -.11], p-value = 0.002) in the 4 months following the onset of the pandemic. This change was equivalent to moving from the 50th to the 63rd percentile in our median sample. Although aggregate depression is correlated with a decline to 0.21 SD (95% CI [-0.07, -.34], p-value = 0.003) in the period thereafter, the average recovery of 0.07 SD (95% CI [-0.09, .22], p-value = 0.41) was not statistically significant. The observed trends were consistent across countries and robust to alternative specifications. Two limitations of our study are that not all samples are representative of the national population, and the mental health measures differ across samples. CONCLUSIONS: Controlling for seasonality, we documented a large, significant, negative association of the pandemic on mental health, especially during the early months of lockdown. The magnitude is comparable (but opposite) to the effects of cash transfers and multifaceted antipoverty programs on mental health in LMICs. Absent policy interventions, the pandemic could be associated with a lasting legacy of depression, particularly in settings with limited mental health support services, such as in many LMICs. We also demonstrated that mental health fluctuates with agricultural crop cycles, deteriorating during "lean", pre-harvest periods and recovering thereafter. Ignoring such seasonal variations in mental health may lead to unreliable inferences about the association between the pandemic and mental health.

Maintaining Continuity of Care for Expectant Mothers in Kenya During the COVID-19 Pandemic: A Study of MomCare.

In Kenya, early coronavirus disease (COVID-19) modeling studies predicted that disruptions in antenatal care and hospital services could increase indirect maternal and neonatal deaths and stillbirths. As the Kenyan government enforced lockdowns and a curfew, many mothers-to-be were unable to safely reach hospital facilities, especially at night. Fear of contracting COVID-19, increasing costs of accessing care, stigma, and falling incomes forced many expectant mothers to give birth at home. MomCare, which primarily serves communities in remote areas and urban slums, links mothers-to-be with payers and health care providers, following a standardized pregnancy program based on World Health Organization guidelines at a predetermined cost and quality. Expectant mothers gain access to care through a mobile wallet on their feature phone (voice, text, and basic internet), and providers are paid after appropriate care is given. Within the first 3 weeks of the pandemic in Kenya, the following services were added to the MomCare bundle: emergency ambulance services during curfew hours, extended bed allowances to encourage early care, phone calls to check on mothers approaching their delivery dates and to promote the generation of a birth plan, SMS messages to inform mothers of open facilities and COVID-19 protocols, and training for clinic staff in managing COVID-19 patients and infection prevention. We compare data collected through the MomCare platform during the 6 months before the first confirmed COVID-19 case in Kenya (September 2019-February 2020) with data collected during the 6 months that followed. This study shows that care-seeking behaviors (enrollment, antenatal/postnatal care, skilled deliveries) increased for mothers-to-be enrolled in MomCare during the COVID-19 lockdowns, while quality of care and outcomes were maintained. Public health practitioners can promote interactive, patient-driven technology like MomCare to augment traditional responses, quickly linking payments with patients and providers in times of crisis.

The short-term economic effects of COVID-19 on low-income households in rural Kenya: An analysis using weekly financial household data

• Kenya installed response measures as soon as the first COVID-19 case was detected. • Our weekly financial transaction data track the socio-economic impacts in detail. • The lockdown reduced income from work, gifts and remittances by about one-third. • Food spending remained at pre-COVID levels, school and transport spending decreased. • To cope with lower cash inflows, households reduced their social support to others. This research assesses how low-income households in rural Kenya coped with the immediate economic consequences of the COVID-19 pandemic. It uses granular financial data from weekly household interviews covering six weeks before the first case was detected in Kenya to five weeks after during which various containment measures were implemented. Based on household-level fixed-effects regressions, our results suggest that income from work decreased with almost one-third and income from gifts and remittances reduced by more than one-third after the start of the pandemic. Nevertheless, household expenditures on food remained at pre-COVID levels. We do not find evidence that households coped with reduced income through increased borrowing, selling assets or withdrawing savings. Instead, they gave out less gifts and remittances themselves, lent less money to others and postponed loan repayments. Moreover, they significantly reduced expenditures on schooling and transportation, in line with the school closures and travel restrictions. Thus, despite their affected livelihoods, households managed to keep food expenditures at par, but this came at the cost of reduced informal risk-sharing and social support between households. [ABSTRACT FROM AUTHOR] Copyright of World Development is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)