Managing COVID-19 within and across health systems: why we need performance intelligence to coordinate a global response

Background

The COVID-19 pandemic is a complex global public health crisis presenting clinical, organisational and system-wide challenges. Different research perspectives on health are needed in order to manage and monitor this crisis. Performance intelligence is an approach that emphasises the need for different research perspectives in supporting health systems’ decision-makers to determine policies based on well-informed choices. In this paper, we present the viewpoint of the Innovative Training Network for Healthcare Performance Intelligence Professionals (HealthPros) on how performance intelligence can be used during and after the COVID-19 pandemic.

Discussion

A lack of standardised information, paired with limited discussion and alignment between countries contribute to uncertainty in decision-making in all countries. Consequently, a plethora of different non-data-driven and uncoordinated approaches to address the outbreak are noted worldwide. Comparative health system research is needed to help countries shape their response models in social care, public health, primary care, hospital care and long-term care through the different phases of the pandemic. There is a need in each phase to compare context-specific bundles of measures where the impact on health outcomes can be modelled using targeted data and advanced statistical methods. Performance intelligence can be pursued to compare data, construct indicators and identify optimal strategies. Embracing a system perspective will allow countries to take coordinated strategic decisions while mitigating the risk of system collapse.A framework for the development and implementation of performance intelligence has been outlined by the HealthPros Network and is of pertinence. Health systems need better and more timely data to govern through a pandemic-induced transition period where tensions between care needs, demand and capacity are exceptionally high worldwide. Health systems are challenged to ensure essential levels of healthcare towards all patients, including those who need routine assistance.

Conclusion

Performance intelligence plays an essential role as part of a broader public health strategy in guiding the decisions of health system actors on the implementation of contextualised measures to tackle COVID-19 or any future epidemic as well as their effect on the health system at large. This should be based on commonly agreed-upon standardised data and fit-for-purpose indicators, making optimal use of existing health information infrastructures. The HealthPros Network can make a meaningful contribution.

Injury mortality among ethnic minority groups in the Netherlands

OBJECTIVES

To prepare a comprehensive overview of ethnic differences in injury related mortality in the Netherlands and to determine the role of area income and urbanisation degree.

METHODS

Data for the period 1995-2000 were obtained from the population and cause of death registries. Injury related death rates were compared for persons from Turkish, Moroccans, Surinamese, and Antillean/Aruban origin with rates for the native Dutch population.

RESULTS

Compared with the native Dutch population, all ethnic minorities combined had an increased mortality for all injuries together (RR = 1.29). Ethnic minorities experienced a significantly higher risk of death from pedestrian accidents (RR = 1.87), drowning (RR = 2.58), poisoning (RR = 1.76), fire and scalds (RR = 1.95), and homicide (RR = 3.24). Mortality for cyclists (RR = 0.53) and motorcycle drivers (RR = 0.47) was significantly lower among ethnic minorities compared with the native Dutch. Adjustment for area income and urbanisation decreased the mortality risk difference for most of the non-traffic injuries, but showed a difference in risk for car driver and passenger accidents (RR = 1.37). Compared with the native Dutch inhabitants, Surinamese and Antillean/Aruban population had a higher risk of total injury mortality (RR = 1.33 and 1.53 respectively), while Turkish and Moroccans had increased risk only for selected conditions. Inequalities in injury mortality were the highest among children and young adults, but persisted in the age group above 50 years old.

CONCLUSION

Ethnic differences in injury mortality in the Netherlands strongly depended on type of injury, ethnic group, sex, and age. Policies should be aimed at the prevention of high risk injuries among the most vulnerable ages and ethnic groups.

Differences in avoidable mortality between migrants and the native Dutch in The Netherlands

Background

The quality of the healthcare system and its role in influencing mortality of migrant groups can be explored by examining ethnic variations in 'avoidable' mortality. This study investigates the association between the level of mortality from 'avoidable' causes and ethnic origin in the Netherlands and identifies social factors that contribute to this association.

Methods

Data were obtained from cause of death and population registries in the period 1995–2000. We compared mortality rates for selected 'avoidable' conditions for Turkish, Moroccan, Surinamese and Antillean/Aruban groups to native Dutch.

Results

We found slightly elevated risk in total 'avoidable' mortality for migrant populations (RR = 1.13). Higher risks of death among migrants were observed from almost all infectious diseases (most RR > 3.00) and several chronic conditions including asthma, diabetes and cerebro-vascular disorders (most RR > 1.70). Migrant women experienced a higher risk of death from maternity-related conditions (RR = 3.37). Surinamese and Antillean/Aruban population had a higher mortality risk (RR = 1.65 and 1.31 respectively), while Turkish and Moroccans experienced a lower risk of death (RR = 0.93 and 0.77 respectively) from all 'avoidable' conditions compared to native Dutch. Control for demographic and socioeconomic factors explained a substantial part of ethnic differences in 'avoidable' mortality.

Conclusion

Compared to the native Dutch population, total 'avoidable' mortality was slightly elevated for all migrants combined. Mortality risks varied greatly by cause of death and ethnic origin. The substantial differences in mortality for a few 'avoidable' conditions suggest opportunities for quality improvement within specific areas of the healthcare system targeted to disadvantaged groups.

[Mortality among non-western migrants in The Netherlands]

Mortality among 10 groups of non-western migrants to The Netherlands, observed in the period 1995-2000, is compared with mortality among people who were born in and whose parents were born in The Netherlands. The migrant groups concerned consisted of people who were born in, or whose parents were born in Turkey, Morocco, Surinam, The Netherlands Antilles, Ghana, Somalia, Iraq, Iran, Afghanistan and Vietnam. Differences in mortality were adjusted for age, marital status, region, degree of urbanization, and socioeconomic status. Despite the fact that most migrants originate from countries with a substantially higher mortality rate than The Netherlands, most groups had similar or more favourable total mortality rates than native Dutch people. Men from Turkey and Surinam had slightly elevated mortality rates and men and women from Somalia had a notably higher mortality rate than native Dutch people. The generally favourable mortality rates among migrants are the result of two compensating phenomena: higher mortality among young migrants than among young native Dutch people, and lower mortality among elderly migrants than among elderly native Dutch people. An analysis of cause-of-death patterns revealed relatively low mortality from cardiovascular diseases, cancer and respiratory diseases in most migrant groups, and relatively high mortality from infectious diseases and injuries. These findings are unlikely to have been influenced by incomplete registration of mortality. Selective migration may play a role--some migrant groups have a relatively high level of education for example. Also some of the findings may be explained by a difference in timing between the health benefits and the health risks of migration. Migrant health could be benefiting from the favourable socioeconomic, public health and health-care conditions in The Netherlands, but not yet be affected by the higher risks of cancer and cardiovascular disease associated with prosperity.

Trends in socioeconomic disparities in stroke mortality in six european countries between 1981-1985 and 1991-1995

This study assesses whether stroke mortality trends have been less favorable among lower than among higher socioeconomic groups. Longitudinal data on mortality by socioeconomic status were obtained for Finland, Norway, Denmark, Sweden, England/Wales, and Turin, Italy. Data covered the entire population or a representative sample. Stroke mortality rates were calculated for the period 1981-1995. Changes in stroke mortality rate ratios were analyzed using Poisson regression and compared with rate ratios in ischemic heat disease mortality. Trends in stroke mortality were generally as favorable among lower as among higher socioeconomic groups, such that socioeconomic disparities in stroke mortality persisted and remained of a similar magnitude in the 1990s as in the 1980s. In Norway, however, occupational disparities in stroke mortality significantly widened, and a nonsignificant increase was observed in some countries. In contrast, disparities in ischemic heart disease mortality widened throughout this period in most populations. Improvements in hypertension prevalence and treatment may have contributed to similar stroke mortality declines in all socioeconomic groups in most countries. Socioeconomic disparities in stroke mortality generally persisted and may have widened in some populations, which fact underlines the need to improve preventive and secondary care for stroke among the lower socioeconomic groups.