Better primary physician services lead to fewer hospital admissions

Inequality in hospitalization due to non-communicable diseases in Sweden: Age-cohort analysis of the Uppsala Birth Cohort Multigenerational Study

We aimed to investigate cohort differences in age trajectories of hospitalization due to non-communicable conditions, and if these varied by paternal socioeconomic position. We used the Uppsala Birth Cohort Multigenerational Study—including virtually complete information on medical diagnoses.

Our sample constituted 28,448 individuals (103,262 observations). The outcome was five-year prevalence of hospitalization due to major non-communicable conditions in 1989–2008. The exposures were age (19–91), year-of-birth (1915–1929; 1938–1972), gender (man vs woman), and parental socioeconomic position (low, medium, and high). We used multilevel logit models to examine associations between exposures and the hospitalization outcome.

Younger cohorts had a higher prevalence of hospitalization at overlapping ages than those born earlier, with inter-cohort differences emerging from early-adulthood and increasing with age. For instance, at age 40 predicted probability of hospitalization increased across birth-cohorts—from 1.2% (born in 1948-52) to 2.0% (born in 1963-67)—whereas at age 50 it was 2.9% for those born in 1938-42 compared with 4.6% among participants born in 1953-57. Those with medium and low socioeconomic position had 13.0% and 20.0% higher odds of experiencing hospitalization during the observation period, respectively—when age, year-of-birth and gender were accounted for.

We found that no progress was made in reducing the socioeconomic inequalities in hospitalization across cohorts born between 1915 and 1972. Hence, more effective policies and interventions are needed to reduce the overall burden of morbidity—particularly among the most vulnerable.

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What is already known on this subject?

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The evidence on trends in morbidity in Sweden is mainly cross-sectional and focused on individual conditions.

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Rates of various indicators of morbidity (e.g. poor mobility, psychological distress, disability) have increased over time.

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What this study adds.

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Successively younger birth cohorts had a higher prevalence of hospitalization, with differences emerging in early-adulthood.

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Those in medium and low parental socioeconomic position (vs high) had 13% and 20% higher odds of hospitalization.

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No progress was made in reducing the socioeconomic inequalities across cohorts born between 1915 and 1972.

The Dynamics of Hospital Use among Older People Evidence for Europe Using SHARE Data

OBJECTIVE

Hospital services use, which is a major driver of total health expenditures, is expected to rise over the next decades in Europe, especially because of population aging. The purpose of this article is to better understand the dynamics of older people's demand for hospital care over time in a cross-country setting.

DATA SOURCE

We used data from the Survey on Health, Ageing, and Retirement in Europe (SHARE), in 10 countries between 2004 and 2011.

STUDY DESIGN

We estimated a dynamic panel model of hospital admission for respondents aged 50 years or more.

PRINCIPAL FINDINGS

Following prior research, we found evidence of state dependence in hospital use over time. We also found that rise in frailty-among other health covariates-is a strong predictor of increased hospital use. Progression by one point on the frailty scale [0;5] is associated with an additional risk of about 2.1 percent on average.

CONCLUSIONS

Our results support promotion of early detection of frailty in primary care, and improvement of coordination between actors within the health system, as potential strategies to reduce avoidable or unnecessary hospital use among frail elderly.

Which features of primary care affect unscheduled secondary care use? A systematic review

OBJECTIVES

To conduct a systematic review to identify studies that describe factors and interventions at primary care practice level that impact on levels of utilisation of unscheduled secondary care.

SETTING

Observational studies at primary care practice level.

PARTICIPANTS

Studies included people of any age of either sex living in Organisation for Economic Co-operation and Development (OECD) countries with any health condition.

PRIMARY AND SECONDARY OUTCOME MEASURES

The primary outcome measure was unscheduled secondary care as measured by emergency department attendance and emergency hospital admissions.

RESULTS

48 papers were identified describing potential influencing features on emergency department visits (n=24 studies) and emergency admissions (n=22 studies). Patient factors associated with both outcomes were increased age, reduced socioeconomic status, lower educational attainment, chronic disease and multimorbidity. Features of primary care affecting unscheduled secondary care were more complex. Being able to see the same healthcare professional reduced unscheduled secondary care. Generally, better access was associated with reduced unscheduled care in the USA. Proximity to healthcare provision influenced patterns of use. Evidence relating to quality of care was limited and mixed.

CONCLUSIONS

The majority of research was from different healthcare systems and limited in the extent to which it can inform policy. However, there is evidence that continuity of care is associated with reduced emergency department attendance and emergency hospital admissions.

How can socioeconomic inequalities in hospital admissions be explained? A cohort study

OBJECTIVES

To investigate which antecedent risk factors can explain the social patterning in hospital use.

DESIGN

Prospective cohort study with up to 37 years of follow-up.

SETTING

Representative community sample in the West of Scotland.

PARTICIPANTS

7049 men and 8353 women aged 45-64 years were recruited into the study from the general population between 1972 and 1976 (78% of the eligible population).

PRIMARY AND SECONDARY OUTCOME MEASURES

Hospital admissions and bed days by cause and by classification into emergency or non-emergency.

RESULTS

All-cause hospital admission rate ratios (RRs) were not obviously socially patterned for women (RR 1.04, 95% CI 0.98 to 1.10) or men (RR 1.0, 95% CI 0.94 to 1.06) in social classes IV and V compared with social classes I and II. However, cardiovascular disease, coronary heart disease and stroke in women, and respiratory disease for men and women were socially patterned, although this attenuated markedly with the addition of baseline risk factors. Hospital bed days were generally socially patterned and the differences were largely explained by baseline risk factors. The overall RRs of mental health admissions in contrast were socially patterned for women (RR 1.77, 95% CI 1.38 to 2.27) and men (RR 1.51, 95% CI 1.11 to 2.06) in social classes IV and V compared with social classes I and II, but the pattern did not attenuate with the addition of baseline risk factors. Emergency hospital admissions were associated with lower social class, but there was an inverse relationship for non-emergency hospital admissions.

CONCLUSIONS

Overall admissions to hospital were only marginally socially patterned, and less than would be expected on the basis of the gradient in baseline risk. However, there was marked social patterning in admissions for mental health problems. Non-emergency hospital admissions were patterned inversely according to risk. Further work is required to explain and address this inequitable gradient in healthcare use.