Country learning on maintaining quality essential health services during COVID-19 in Timor-Leste: a qualitative analysis.

OBJECTIVE: This case study examines the enabling factors, strengths, challenges and lessons learnt from Timor-Leste (TLS) as it sought to maintain quality essential health services (EHS) during the COVID-19 pandemic. DESIGN: A qualitative case study triangulated information from 22 documents, 44 key informant interviews and 6 focus group discussions. The framework method was used to thematically examine the factors impacting quality EHS in TLS. SETTING: National, municipal, facility levels in Baucau, Dili and Ermera municipalities in TLS. RESULTS: Based on the TLS National Health Statistics Reports, a reduction in outpatient, emergency department and primary care service delivery visits was observed in 2020 when compared with 2019. However, in contrast, maternal child health services simultaneously improved in the areas of skilled birth attendants, prenatal coverage and vitamin A distribution, for example. From the thematic analysis, five themes emerged as contributing to or impeding the maintenance of quality EHS including (1) high-level strategy for maintaining quality EHS, (2) measurement for quality and factors affecting service utilisation, (3) challenges in implementation of quality activities across the three levels of the health system, (4) the impact of quality improvement leadership in health facilities during COVID-19 and (5) learning systems for maintaining quality EHS now and for the future. CONCLUSION: The maintenance of quality EHS is critical to mitigate adverse health effects from the COVID-19 pandemic. When quality health services are delivered prior to and maintained during public health emergencies, they build trust within the health system and promote healthcare-seeking behaviour. Planning for quality as part of emergency preparedness can facilitate a high standard of care by ensuring health services continue to provide a safe environment, reduce harm, improve clinical care and engage patients, facilities and communities.

Joint External Evaluation scores and communicable disease deaths: An ecological study on the difference between epidemics and pandemics

The Joint External Evaluation (JEE) assesses national capacities to implement the International Health Regulations (IHR). Previous studies have found that higher JEE scores are associated with fewer communicable disease deaths. But given the impact of COVID-19 in many countries, including those believed to have developed IHR capacities, the validity of the JEE for pandemic preparedness has been questioned. We constructed univariable and multivariable linear regression models to investigate the relationship between JEE scores and i) deaths from communicable diseases before the pandemic and ii) deaths from COVID-19. We adjusted for country differences in age, health system access, national wealth, health expenditure, democratic governance, government restrictions, pre-pandemic tourist arrivals and testing capacity (estimated by test positivity rates). For COVID-19 deaths, we calculated cumulative deaths per 100,000 at 3, 6 and 12 months into the pandemic. A total of 91 countries were included, with a median JEE score of 50%. On multivariable linear regression the association between JEE scores and log COVID-19 deaths was significant and positive at 3 months (β 0.05, p = 0.02), becoming statistically non-significant, at 6 (β 0.02, p = 0.27) and 12 months (β -0.03, p = 0.19), while the association with log communicable disease deaths was significant and negative (β -0.03, p = 0.003). A higher Stringency Index was significantly associated with higher log COVID-19 deaths at 3 (β 0.04, p = 0.003) and 6 (β 0.04, p = 0.001) months, but not at 12 months (β 0.02, p = 0.08). Higher test positivity rates were associated with higher log COVID-19 deaths at all time points, at least partially attenuating the positive association between Stringency Index and log COVID-19 deaths. While universal health coverage indices (β -0.04 p<0.001) and international tourist arrivals were associated with log communicable disease deaths (β 0.02, p = 0.002), they were not associated with log COVID-19 deaths. Although the same tool is used to assess capacities for both epidemics and pandemics, the JEE may be better suited to small outbreaks of known diseases, compared to pandemics of unknown pathogens.

Joint External Evaluation scores and communicable disease deaths: An ecological study on the difference between epidemics and pandemics.

The Joint External Evaluation (JEE) assesses national capacities to implement the International Health Regulations (IHR). Previous studies have found that higher JEE scores are associated with fewer communicable disease deaths. But given the impact of COVID-19 in many countries, including those believed to have developed IHR capacities, the validity of the JEE for pandemic preparedness has been questioned. We constructed univariable and multivariable linear regression models to investigate the relationship between JEE scores and i) deaths from communicable diseases before the pandemic and ii) deaths from COVID-19. We adjusted for country differences in age, health system access, national wealth, health expenditure, democratic governance, government restrictions, pre-pandemic tourist arrivals and testing capacity (estimated by test positivity rates). For COVID-19 deaths, we calculated cumulative deaths per 100,000 at 3, 6 and 12 months into the pandemic. A total of 91 countries were included, with a median JEE score of 50%. On multivariable linear regression the association between JEE scores and log COVID-19 deaths was significant and positive at 3 months (ß 0.05, p = 0.02), becoming statistically non-significant, at 6 (ß 0.02, p = 0.27) and 12 months (ß -0.03, p = 0.19), while the association with log communicable disease deaths was significant and negative (ß -0.03, p = 0.003). A higher Stringency Index was significantly associated with higher log COVID-19 deaths at 3 (ß 0.04, p = 0.003) and 6 (ß 0.04, p = 0.001) months, but not at 12 months (ß 0.02, p = 0.08). Higher test positivity rates were associated with higher log COVID-19 deaths at all time points, at least partially attenuating the positive association between Stringency Index and log COVID-19 deaths. While universal health coverage indices (ß -0.04 p<0.001) and international tourist arrivals were associated with log communicable disease deaths (ß 0.02, p = 0.002), they were not associated with log COVID-19 deaths. Although the same tool is used to assess capacities for both epidemics and pandemics, the JEE may be better suited to small outbreaks of known diseases, compared to pandemics of unknown pathogens.