Changes in reproductive, maternal, and child health in Haiti during the pre- and peri-COVID-19 pandemic.

Objective: To assess changes in reproductive, maternal, newborn, child, and adolescent health (RMNCAH) in Haiti from August 2018 to September 2021, before and during the COVID-19 pandemic. Methods: A retrospective study using surveillance data from the Haitian Unique Health Information System, examining two periods: pre- and peri-COVID-19 pandemic. Health indicators at the national level in the two periods were compared using two-sample t-tests for proportions, and average absolute monthly changes were calculated using variance-weighted regression. Results: There was a statistically significant decline in the proportion of most of the indicators assessed from the pre- to the peri-COVID-19 pandemic period. However, the most affected indicators were the proportions of pregnant women with four antenatal care visits, with five antenatal care visits or more, and those who received a second dose of tetanus vaccine, which decreased by over 4 percentage points during the two periods. Likewise, the proportions of children who received diphtheria, tetanus, and pertussis (DTaP), BCG, polio, pentavalent, and rotavirus vaccines also all declined by over 8 percentage points. In contrast, pneumococcal conjugate vaccine increased by over 4 percentage points. A statistically significant decrease was also observed in the average absolute monthly changes of several reproductive and child health indicators assessed. Conclusions: The COVID-19 pandemic may have contributed to the decline observed in several RMNCAH indicators in Haiti. However, the role played by the sociopolitical crisis and control exercised by armed groups over the population in the last three years cannot be ruled out.

Quality of routine health data at the onset of the COVID-19 pandemic in Ethiopia, Haiti, Laos, Nepal, and South Africa.

BACKGROUND: During the COVID-19 pandemic, governments and researchers have used routine health data to estimate potential declines in the delivery and uptake of essential health services. This research relies on the data being high quality and, crucially, on the data quality not changing because of the pandemic. In this paper, we investigated those assumptions and assessed data quality before and during COVID-19. METHODS: We obtained routine health data from the DHIS2 platforms in Ethiopia, Haiti, Lao People's Democratic Republic, Nepal, and South Africa (KwaZulu-Natal province) for a range of 40 indicators on essential health services and institutional deaths. We extracted data over 24 months (January 2019-December 2020) including pre-pandemic data and the first 9 months of the pandemic. We assessed four dimensions of data quality: reporting completeness, presence of outliers, internal consistency, and external consistency. RESULTS: We found high reporting completeness across countries and services and few declines in reporting at the onset of the pandemic. Positive outliers represented fewer than 1% of facility-month observations across services. Assessment of internal consistency across vaccine indicators found similar reporting of vaccines in all countries. Comparing cesarean section rates in the HMIS to those from population-representative surveys, we found high external consistency in all countries analyzed. CONCLUSIONS: While efforts remain to improve the quality of these data, our results show that several indicators in the HMIS can be reliably used to monitor service provision over time in these five countries.

Associations between the stringency of COVID-19 containment policies and health service disruptions in 10 countries.

BACKGROUND: Disruptions in essential health services during the COVID-19 pandemic have been reported in several countries. Yet, patterns in health service disruption according to country responses remain unclear. In this paper, we investigate associations between the stringency of COVID-19 containment policies and disruptions in 31 health services in 10 low- middle- and high-income countries in 2020. METHODS: Using routine health information systems and administrative data from 10 countries (Chile, Ethiopia, Ghana, Haiti, Lao People's Democratic Republic, Mexico, Nepal, South Africa, South Korea, and Thailand) we estimated health service disruptions for the period of April to December 2020 by dividing monthly service provision at national levels by the average service provision in the 15 months pre-COVID (January 2019-March 2020). We used the Oxford COVID-19 Government Response Tracker (OxCGRT) index and multi-level linear regression analyses to assess associations between the stringency of restrictions and health service disruptions over nine months. We extended the analysis by examining associations between 11 individual containment or closure policies and health service disruptions. Models were adjusted for COVID caseload, health service category and country GDP and included robust standard errors. FINDINGS: Chronic disease care was among the most affected services. Regression analyses revealed that a 10% increase in the mean stringency index was associated with a 3.3 percentage-point (95% CI -3.9, -2.7) reduction in relative service volumes. Among individual policies, curfews, and the presence of a state of emergency, had the largest coefficients and were associated with 14.1 (95% CI -19.6, 8.7) and 10.7 (95% CI -12.7, -8.7) percentage-point lower relative service volumes, respectively. In contrast, number of COVID-19 cases in 2020 was not associated with health service disruptions in any model. CONCLUSIONS: Although containment policies were crucial in reducing COVID-19 mortality in many contexts, it is important to consider the indirect effects of these restrictions. Strategies to improve the resilience of health systems should be designed to ensure that populations can continue accessing essential health care despite the presence of containment policies during future infectious disease outbreaks.

Tracking health system performance in times of crisis using routine health data: lessons learned from a multicountry consortium.

COVID-19 has prompted the use of readily available administrative data to track health system performance in times of crisis and to monitor disruptions in essential healthcare services. In this commentary we describe our experience working with these data and lessons learned across countries. Since April 2020, the Quality Evidence for Health System Transformation (QuEST) network has used administrative data and routine health information systems (RHIS) to assess health system performance during COVID-19 in Chile, Ethiopia, Ghana, Haiti, Lao People's Democratic Republic, Mexico, Nepal, South Africa, Republic of Korea and Thailand. We compiled a large set of indicators related to common health conditions for the purpose of multicountry comparisons. The study compiled 73 indicators. A total of 43% of the indicators compiled pertained to reproductive, maternal, newborn and child health (RMNCH). Only 12% of the indicators were related to hypertension, diabetes or cancer care. We also found few indicators related to mental health services and outcomes within these data systems. Moreover, 72% of the indicators compiled were related to volume of services delivered, 18% to health outcomes and only 10% to the quality of processes of care. While several datasets were complete or near-complete censuses of all health facilities in the country, others excluded some facility types or population groups. In some countries, RHIS did not capture services delivered through non-visit or nonconventional care during COVID-19, such as telemedicine. We propose the following recommendations to improve the analysis of administrative and RHIS data to track health system performance in times of crisis: ensure the scope of health conditions covered is aligned with the burden of disease, increase the number of indicators related to quality of care and health outcomes; incorporate data on nonconventional care such as telehealth; continue improving data quality and expand reporting from private sector facilities; move towards collecting patient-level data through electronic health records to facilitate quality-of-care assessment and equity analyses; implement more resilient and standardized health information technologies; reduce delays and loosen restrictions for researchers to access the data; complement routine data with patient-reported data; and employ mixed methods to better understand the underlying causes of service disruptions.

COVID-19 and resilience of healthcare systems in ten countries.

Declines in health service use during the Coronavirus Disease 2019 (COVID-19) pandemic could have important effects on population health. In this study, we used an interrupted time series design to assess the immediate effect of the pandemic on 31 health services in two low-income (Ethiopia and Haiti), six middle-income (Ghana, Lao People's Democratic Republic, Mexico, Nepal, South Africa and Thailand) and high-income (Chile and South Korea) countries. Despite efforts to maintain health services, disruptions of varying magnitude and duration were found in every country, with no clear patterns by country income group or pandemic intensity. Disruptions in health services often preceded COVID-19 waves. Cancer screenings, TB screening and detection and HIV testing were most affected (26-96% declines). Total outpatient visits declined by 9-40% at national levels and remained lower than predicted by the end of 2020. Maternal health services were disrupted in approximately half of the countries, with declines ranging from 5% to 33%. Child vaccinations were disrupted for shorter periods, but we estimate that catch-up campaigns might not have reached all children missed. By contrast, provision of antiretrovirals for HIV was not affected. By the end of 2020, substantial disruptions remained in half of the countries. Preliminary data for 2021 indicate that disruptions likely persisted. Although a portion of the declines observed might result from decreased needs during lockdowns (from fewer infectious illnesses or injuries), a larger share likely reflects a shortfall of health system resilience. Countries must plan to compensate for missed healthcare during the current pandemic and invest in strategies for better health system resilience for future emergencies.

Life expectancy, death, and disability in Haiti, 1990-2017: a systematic analysis from the Global Burden of Disease Study 2017.

OBJECTIVE: To investigate the magnitude and distribution of the main causes of death, disability, and risk factors in Haiti. METHODS: We conducted an ecological analysis, using data estimated from the Global Burden of Disease Study 2017 for the period 1990-2017, to present life expectancy (LE), healthy life expectancy (HALE) at under 1-year-old, cause-specific deaths, years of life lost (YLLs), years lived with disability (YLDs), disability adjusted life-years (DALYs), and risk factors associated with DALYs. RESULTS: LE and HALE increased substantially in Haiti. People may hope to live longer in 2017, but in poor health. The Caribbean countries had significantly lower YLLs rates than Haiti for ischemic heart disease, stroke, lower respiratory infections, and diarrheal diseases. Road injuries were the leading cause of DALYs for people aged 5-14 years. Road injuries and HIV/AIDS were the leading causes of DALYs for men and women aged 15-49 years, respectively. Ischemic heart disease was the main cause of DALYs for people older than 50 years. Maternal and child malnutrition were the leading risk factors for DALYs in both sexes. CONCLUSION: Haiti faces a double burden of disease. Infectious diseases continue to be an issue, while non-communicable diseases have become a significant burden of disease. More attention must also be focused on the increase in worrying public health issues such as road injuries, exposure to forces of nature and HIV/AIDS in specific age groups. To address the burden of disease, sustained actions are needed to promote better health in Haiti and countries with similar challenges.

OBJETIVO: Investigar la magnitud y la distribución de las principales causas de muerte, discapacidad y factores de riesgo en Haití. MÉTODOS: Se llevó a cabo un análisis ecológico con datos estimados a partir del estudio Carga Global de Morbilidad 2017 para el período 1990-2017 para presentar la esperanza de vida (LE), la esperanza de vida saludable (HALE), la mortalidad por causas específicas, los años de vida perdidos (YLL), los años vividos con discapacidad (YLD), los años de vida ajustados por discapacidad (DALY), y los factores de riesgo asociados a los DALY. RESULTADOS: La LE y la HALE aumentaron sustancialmente en Haití. En 2017, la población puede esperar vivir más, pero con mala salud. Los países del Caribe tuvieron tasas de YLL significativamente más bajas que Haití en cuanto a cardiopatías isquémicas, accidentes cerebrovasculares, infecciones respiratorias bajas y enfermedades diarreicas. Las lesiones debidas a accidentes de tránsito fueron la principal causa de DALY para las personas de 5 a 14 años. Las lesiones debidas a accidentes de tránsito y el VIH/sida fueron las principales causas de DALY en hombres y mujeres de 15 a 49 años de edad, respectivamente. Las cardiopatías isquémicas fueron la principal causa de DALY para las personas mayores de 50 años. Las desnutriciones materna e infantil fueron los principales factores de riesgo de DALY en ambos sexos. CONCLUSIÓN: Haití se enfrenta a una doble carga de enfermedad. Las enfermedades infecciosas siguen siendo un problema, mientras que las enfermedades no transmisibles se han convertido en una carga significativa de enfermedad. También debe prestarse más atención al aumento de problemas de salud pública preocupantes, como las lesiones por accidentes de tránsito, la exposición a fenómenos naturales y el VIH/sida en grupos etarios específicos. Para hacer frente a la carga de morbilidad es necesario adoptar medidas sostenidas para promover una mejor salud en Haití y en los países con desafíos similares.

Does quality influence utilization of primary health care? Evidence from Haiti.

BACKGROUND: Expanding coverage of primary healthcare services such as antenatal care and vaccinations is a global health priority; however, many Haitians do not utilize these services. One reason may be that the population avoids low quality health facilities. We examined how facility infrastructure and the quality of primary health care service delivery were associated with community utilization of primary health care services in Haiti. METHODS: We constructed two composite measures of quality for all Haitian facilities using the 2013 Service Provision Assessment survey. We geographically linked population clusters from the Demographic and Health Surveys to nearby facilities offering primary health care services. We assessed the cross-sectional association between quality and utilization of four primary care services: antenatal care, postnatal care, vaccinations and sick child care, as well as one more complex service: facility delivery. RESULTS: Facilities performed poorly on both measures of quality, scoring 0.55 and 0.58 out of 1 on infrastructure and service delivery quality respectively. In rural areas, utilization of several primary cares services (antenatal care, postnatal care, and vaccination) was associated with both infrastructure and quality of service delivery, with stronger associations for service delivery. Facility delivery was associated with infrastructure quality, and there was no association for sick child care. In urban areas, care utilization was not associated with either quality measure. CONCLUSIONS: Poor quality of care may deter utilization of beneficial primary health care services in rural areas of Haiti. Improving health service quality may offer an opportunity not only to improve health outcomes for patients, but also to expand coverage of key primary health care services.

Assessing the quality of primary care in Haiti.

OBJECTIVE: To develop a composite measure of primary care quality and apply it to Haiti's primary care system. METHODS: Using the Primary Health Care Performance Initiative's framework, we defined four domains of primary care service delivery: (i) accessible care; (ii) effective service delivery; (iii) management and organization; and (iv) primary care functions. We gave each primary care facility in Haiti a quality score for each domain and overall, with poor, fair and good quality indicated by scores of 0.00-0.49, 0.50-0.74 and 0.75-1.00, respectively. We quantified access and effective access to primary care as the proportions of the population within 5 km of any primary care facility and a good facility, respectively. FINDINGS: Of the 786 primary care facilities in Haiti in 2013, only 332 (43%) facilities were classified as good for accessible care. Fewer facilities were classified as good in the domains of effective service delivery (30; 4%), management and organization (91; 12%) and primary care functions (43; 5%). Although about 91% of the population lived within 5 km of a primary care facility, only an estimated 23% of the entire population - including just 5% of the rural population - had access to primary care of good quality. CONCLUSION: Despite an extensive network of health facilities, a minority of Haitians had access to a primary care facility of good quality. Such facilities were especially scarce in rural areas. Similar systematic analyses of the quality of primary care could inform national efforts to strengthen health systems.

Development and use of a master health facility list: Haiti's experience during the 2010 earthquake response.

Master health facility lists (MHFLs) are gaining attention as a standards-based means to uniquely identify health facilities and to link facility-level data. The ability to reliably communicate information about specific health facilities can support an array of health system functions, such as routine reporting and emergency response operations. MHFLs support the alignment of donor-supported health information systems with county-owned systems. Recent World Health Organization draft guidance promotes the utility of MHFLs and outlines a process for list development and governance. Although the potential benefits of MHFLs are numerous and may seem obvious, there are few documented cases of MHFL construction and use. The international response to the 2010 Haiti earthquake provides an example of how governments, nongovernmental organizations, and others can collaborate within a framework of standards to build a more complete and accurate list of health facilities. Prior to the earthquake, the Haitian Ministry of Health (Ministère de la Santé Publique et de la Population [MSPP]) maintained a list of public-sector health facilities but lacked information on privately managed facilities. Following the earthquake, the MSPP worked with a multinational group to expand the completeness and accuracy of the list of health facilities, including information on post-quake operational status. This list later proved useful in the response to the cholera epidemic and is now incorporated into the MSPP's routine health information system. Haiti's experience demonstrates the utility of MHFL formation and use in crisis as well as in the routine function of the health information system.