Trends in age at first hospital admission in relation to trends in life expectancy in Swedish men and women above the age of 60

Outcome after decompressive craniectomy in older adults after traumatic brain injury

Objective

Globally, many societies are experiencing an increase in the number of older adults (>65 years). However, there has been a widening gap between the chronological and biological age of older adults which trend to a more active and social participating part of the society. Concurrently, the incidence of traumatic brain injury (TBI) is increasing globally. The aim of this study was to investigate the outcome after TBI and decompressive craniectomy (DC) in older adults compared with younger patients.

Methods

A retrospective, multi-centre, descriptive, observational study was conducted, including severe TBI patients who were treated with DC between 2005 and 2022. Outcome after discharge and 12 months was evaluated according to the Glasgow Outcome Scale (Sliding dichotomy based on three prognostic bands). Significance was established as p ≤ 0.05.

Results

A total of 223 patients were included. The majority (N = 158, 70.9%) survived TBI and DC at discharge. However, unfavourable outcome was predominant at discharge (88%) and after 12 months (67%). There was a difference in favour of younger patients (≤65 years) between the age groups at discharge (p = 0.006) and at 12 months (p < 0.001). A subgroup analysis of the older patients (66 to ≤74 vs. ≥75 years) did not reveal any significant differences. After 12 months, 64% of the older patients had a fatal outcome. Only 10% of those >65 years old had a good or very good outcome. 25% were depending on support in everyday activities. After 12 months, the age (OR 0.937, p = 0.007, CI 95%: 0.894-0.981; univariate) and performed cranioplasty (univariate and multivariate results) were influential factors for the dichotomized GOS. For unfavourable outcome after 12 months, the thresholds were calculated for age = 55.5 years (p < 0.001), time between trauma and surgery = 8.25 h (p = 0.671) and Glasgow Coma Scale (GCS) = 4 (p = 0.429).

Conclusion

Even under the current modern conditions of neuro-critical care, with significant advances in intensive care and rehabilitation medicine, the majority of patients >65 years of age following severe TBI and DC died or were dependent and usually required extensive support. This aspect should also be taken into account during decision making and counselling (inter-, intradisciplinary or with relatives) for a very mobile and active older section of society, together with the patient's will.

Gender differences in time to first hospital admission at age 60 in Denmark, 1995-2014

Women have consistently lower mortality rates than men at all ages and with respect to most causes. However, gender differences regarding hospital admission rates are more mixed, varying across ages and causes. A number of intuitive metrics have previously been used to explore changes in hospital admissions over time, but have not explicitly quantified the gender gap or estimated the cumulative contribution from cause-specific admission rates. Using register data for the total Danish population between 1995 and 2014, we estimated the time to first hospital admission for Danish men and women aged 60. This is an intuitive population-level metric with the same interpretive and mathematical properties as period life expectancy. Using a decomposition approach, we were able to quantify the cumulative contributions from eight causes of hospital admission to the gender gap in time to first hospital admission. Between 1995 and 2014, time to first admission increased for both, men (7.6 to 9.4 years) and women (8.3 to 10.3 years). However, the magnitude of gender differences in time to first admission remained relatively stable within this time period (0.7 years in 1995, 0.9 years in 2014). After age 60, Danish men had consistently higher rates of admission for cardiovascular conditions and neoplasms, but lower rates of admission for injuries, musculoskeletal disorders, and sex-specific causes. Although admission rates for both genders have generally declined over the last decades, the same major causes of admission accounted for the gender gap. Persistent gender differences in causes of admission are, therefore, important to consider when planning the delivery of health care in times of population ageing.

Supplementary Information

The online version contains supplementary material available at 10.1007/s10433-021-00614-w.

Rethinking morbidity compression

Studies of morbidity compression routinely report the average number of years spent in an unhealthy state but do not report variation in age at morbidity onset. Variation was highlighted by Fries (1980) as crucial for identifying disease postponement. Using incidence of first hospitalization after age 60, as one working example, we estimate variation in morbidity onset over a 27-year period in Denmark. Annual estimates of first hospitalization and the population at risk for 1987 to 2014 were identified using population-based registers. Sex-specific life tables were constructed, and the average age, the threshold age, and the coefficient of variation in age at first hospitalization were calculated. On average, first admissions lasting two or more days shifted towards older ages between 1987 and 2014. The average age at hospitalization increased from 67.8 years (95% CI 67.7-67.9) to 69.5 years (95% CI 69.4-69.6) in men, and 69.1 (95% CI 69.1-69.2) to 70.5 years (95% CI 70.4-70.6) in women. Variation in age at first admission increased slightly as the coefficient of variation increased from 9.1 (95% CI 9.0-9.1) to 9.9% (95% CI 9.8-10.0) among men, and from 10.3% (95% CI 10.2-10.4) to 10.6% (95% CI 10.5-10.6) among women. Our results suggest populations are ageing with better health today than in the past, but experience increasing diversity in healthy ageing. Pensions, social care, and health services will have to adapt to increasingly heterogeneous ageing populations, a phenomenon that average measures of morbidity do not capture.

Do men avoid seeking medical advice? A register-based analysis of gender-specific changes in primary healthcare use after first hospitalisation at ages 60+ in Denmark

BACKGROUND

It remains unclear whether women's greater primary healthcare use reflects a lower treatment-seeking threshold or a health disadvantage. We address this question by studying primary healthcare use surrounding a major health shock.

METHODS

This cohort study utilises routinely-collected healthcare data covering the Danish population aged 60+ years between 1996 and 2011. Using a hurdle model, we investigate levels of non-use and levels of primary healthcare use before and after first inpatient hospitalisation for stroke, myocardial infarction (MI), chronic obstructive pulmonary disease (COPD) and gastrointestinal cancers (GIC).

RESULTS

Before hospitalisation, irrespective of cause, men were more likely than women to be non-users of primary healthcare (OR (95% CI): stroke 1.802 (1.731 to 1.872); MI 1.841 (1.760 to 1.922); COPD 2.160 (2.028 to 2.292); GIC 1.609 (1.525 to 1.693)). Men who were users had fewer primary healthcare contacts than women (proportional change (e^β) (95% CI): stroke 0.821 (0.806 to 0.836); MI 0.796 (0.778 to 0.814); COPD 0.855 (0.832 to 0.878); GIC 0.859 (0.838 to 0.881)). Following hospitalisation, changes in the probability of being a non-user (OR (95% CI): stroke 0.965 (0.879 to 1.052); MI 0.894 (0.789 to 0.999); COPD 0.755 (0.609 to 0.900); GIC 0.895 (0.801 to 0.988)) and levels of primary healthcare use (e^β (95% CI): stroke 1.113 (1.102 to 1.124); MI 1.112 (1.099 to 1.124); COPD 1.078 (1.063 to 1.093); GIC 1.097 (1.079 to 1.114)) were more pronounced among men. Gender differences widened after accounting for survival following hospitalisation.

CONCLUSION

Women's consistently higher levels of primary healthcare use are likely to be explained by a combination of a lower treatment-seeking threshold and a health disadvantage resulting from better survival in bad health.

Unexplained periods of higher deaths contribute to marginal changes in health care demand and health insurance costs: International perspectives

Sudden and unexplained increases in hospital medical admissions and population total deaths have been characterized in the United Kingdom. These sudden increases appear to endure for around 1 to 3 years before they abate. This study demonstrates that the sudden increases in deaths also occur in 125 countries and occur at subnational geographies. The magnitude of the sudden increase diminishes as a power law function up to around 10 000 deaths. Above 10 000 deaths, there is only a small decline with increasing size (deaths). At around 10 000 deaths, a 10% maximum sudden increase applies across many countries or subnational regions. The nearness to death effect, where around half of a person's lifetime hospital admissions occurs in the last 6 months of life, results in higher associated increases in medical admissions. This paper confirms that the use of calendar year data can be misleading. Periods of unexplained higher deaths appear to occur in bursts across multiple countries and appear to show spatial spread within the neighbourhoods which constitute the whole country.

Sex differences in the 1-year risk of dying following all-cause and cause-specific hospital admission after age 50 in comparison with a general and non-hospitalised population: a register-based cohort study of the Danish population

OBJECTIVES

We examine the mortality of men and women within the first year after all-cause and cause-specific hospital admission to investigate whether the sex differences in mortality after hospitalisation are higher than in the corresponding general and non-hospitalised population.

DESIGN

This is a population-based, longitudinal study with nationwide coverage. The study population was identified by linking the National Patient Register with the Central Population Register using a 5% random sample of the Danish population.

SETTING

The population born between 1898 and 1961, who was alive and residing in Denmark after 1977, was followed up between 1977 and 2011 with respect to hospital admissions and mortality while aged 50-79.

PRIMARY OUTCOME MEASURES

The absolute sex differences in the 1-year risk of dying after all-cause and cause-specific hospital admission. The hospitalised population sex differentials were then compared with the sex differences in a general and a non-hospitalised population, randomly matched by age, sex and hospitalisation status.

RESULTS

The risk of dying was consistently higher for hospitalised men and women. At all ages, the absolute sex differences in mortality were largest in the hospitalised population, were smaller in the general population and were smallest in the non-hospitalised population. This pattern was consistent across all-cause admissions, and with respect to admissions for neoplasms, circulatory diseases and respiratory diseases. For all-cause hospital admissions, absolute sex differences in the 1-year risk of dying resulted in 43.8 excess male deaths per 1,000 individuals within the age range 50-79, while the levels were lower in the general and the non-hospitalised population, at levels of 13.5 and 6.6, respectively.

CONCLUSIONS

This study indicates a larger male disadvantage in mortality following hospitalisation, pointing towards an association between the health status of a population and the magnitude of the female advantage in mortality.

Trend study on the association between hospital admissions and the health of Dutch older adults (1995-2009)

OBJECTIVES

An increase in hospital admission rates in older people may reflect improved access to healthcare, but also declining health trends in the older population. Owing to a lack of individual-level data, the latter possibility has received little attention. The current study examines associations between health status and hospitalisation rates of older adults in the Netherlands.

DESIGN

Observational individual-level data linked to hospital register data.

SETTING

Data from 1995 to 2009 from the nationally representative Longitudinal Aging Study Amsterdam were linked to the Dutch Hospital Discharge Register.

PARTICIPANTS

A total of 5681 observations of 2520 respondents across 4 measurement points (each with a follow-up of 36 months; ages 65-88 years).

OUTCOME MEASURES

The contribution of health, demographic, psychosocial and lifestyle characteristics to time trends in hospitalisation was assessed in multivariate models.

RESULTS

Between 1995 and 2009, the percentage with 1 or more overnight admissions (planned or acute) increased slightly from 38.1% to 39.7%. This was due to an increase in acute admission only (22.2-27.0%). Increased prevalences of chronic diseases, functional limitations and polypharmacy accounted for part of the observed increase in acute admissions. In addition, a more than doubled prevalence of day admissions over time was observed (12.3-28.3%), a trend that was unrelated to changes in individual characteristics.

CONCLUSIONS

This trend study showed a contribution of declines in population health to increases in acute hospital admissions. Since these declines did not provide a full explanation, healthcare reforms and increases in treatment possibilities in this period are likely to have contributed as well.

Does a hospital admission in old age denote the beginning of life with a compromised health-related quality of life? A longitudinal study of men and women aged 65 years and above participating in the Stockholm Public Health Cohort

OBJECTIVES

The objective of this study was to analyse how hospitalisation after the age of 60 affected individuals' health-related quality of life (HRQoL). The main hypothesis was that a hospital admission in old age can be seen as a proxy of ill health and possibly as a health divider, separating life into a healthy and an unhealthy part. The extent to which this is true depends on which disease individuals face and how functional ability and HRQoL are affected.

SETTINGS

This was a longitudinal study, based on an older cohort of individuals who participated in the Stockholm Public Health Cohort (SPHC) survey in 2006; the survey took place in Stockholm, Sweden. Information regarding hospitalisations and deaths, which is available through Swedish administrative registers, was linked to the survey from the National Patient Register and Cause of Death Register.

PARTICIPANTS

2101 individuals, 65+ years old at inclusion, with no previous hospitalisations at baseline (2006), were followed for 4 years until 2010 (end of follow-up).

PRIMARY AND SECONDARY OUTCOME MEASURES

HRQoL was assessed through a utility index derived from the EuroQol 5D questionnaire, at baseline and at 2010. The change in HRQoL after admission(s) to the hospital was estimated as the difference between the 2010 and 2006 levels using linear regression, also considering several covariates.

RESULTS

A single hospitalisation did not reduce individuals' HRQoL, either for men or women. On the other hand, multiple any-cause hospitalisations reduced HRQoL between 3.2% and 6.5%. When looking into hospitalisations for specific causes, such as hip fractures, a decrease in HRQoL was observed as well; however, conclusions regarding this were impeded by the small sample size.

CONCLUSIONS

Hospital admissions in old age may indicate a shift from a healthy life to a life of compromised health when considering their frequency and cause over a period of time.

Factors associated with hospitalization risk among community living middle aged and older persons: Results from the Swedish Adoption/Twin Study of Aging (SATSA)

The aims of the present study were to: (1) describe and compare individual characteristics of hospitalized and not hospitalized community living persons, and (2) to determine factors that are associated with hospitalization risk over time. We conducted a prospective study with a multifactorial approach based on the population-based longitudinal Swedish Adoption/Twin Study of Aging (SATSA). A total of 772 Swedes (mean age at baseline 69.7 years, range 46-103, 59.8% females) answered a postal questionnaire about physical and psychological health, personality and socioeconomic factors. During nine years of follow-up, information on hospitalizations and associated diagnoses were obtained from national registers. Results show that 484 persons (63%) had at least one hospital admission during the follow-up period. The most common causes of admission were cardiovascular diseases (25%) and tumors (22%). Cox proportional hazard regression models controlling for age, sex and dependency within twin pairs, showed that higher age (HR=1.02, p<0.001) and more support from relatives (HR=1.09, p=0.028) were associated with increased risk of hospitalization, while marital status (unmarried (HR=0.75, p=0.033) and widow/widower (HR=0.69, p<0.001)) and support from friends (HR=0.93, p=0.029) were associated with lower risk of hospitalization. Social factors were important for hospitalization risk even when medical factors were controlled for in the analyses. Number of diseases was not a risk in the final regression model. Hospitalization risk was also different for women and men and within different age groups. We believe that these results might be used in future interventions targeting health care utilization.

Four Decades of Educational Inequalities in Hospitalization and Mortality among Older Swedes

BACKGROUND

The inverse association between education and mortality has grown stronger the last decades in many countries. During the same period, gains in life expectancy have been concentrated to older ages; still, old-age mortality is seldom the focus of attention when analyzing trends in the education-mortality gradient. It is further unknown if increased educational inequalities in mortality are preceded by increased inequalities in morbidity of which hospitalization may be a proxy.

METHODS

Using administrative population registers from 1971 and onwards, education-specific annual changes in the risk of death and hospital admission were estimated with complimentary log-log models. These risk changes were supplemented by estimations of the ages at which 25, 50, and 75% of the population had been hospitalized or died (after age 60).

RESULTS

The mortality decline among older people increasingly benefitted the well-educated over the less well-educated. This inequality increase was larger for the younger old, and among men. Educational inequalities in the age of a first hospital admission generally followed the development of growing gaps, but at a slower pace than mortality and inequalities did not increase among the oldest individuals.

CONCLUSIONS

Education continues to be a significant predictor of health and longevity into old age. That the increase in educational inequalities is greater for mortality than for hospital admissions (our proxy of overall morbidity) may reflect that well-educated individuals gradually have obtained more possibilities or resources to survive a disease than less well-educated individuals have the last four decades.

Declining incidence trends for hip fractures have not been accompanied by improvements in lifetime risk or post-fracture survival--A nationwide study of the Swedish population 60 years and older

BACKGROUND

Hip fracture is a common cause of disability and mortality among the elderly. Declining incidence trends have been observed in Sweden. Still, this condition remains a significant public health problem since Sweden has one of the highest incidences worldwide. Yet, no Swedish lifetime risk or survival trends have been presented. By examining how hip fracture incidence, post-fracture survival, as well as lifetime risk have developed between 1995 and 2010 in Sweden, this study aims to establish how the burden hip fractures pose on the elderly changed over time, in order to inform initiatives for improvements of their health.

MATERIAL AND METHODS

The entire Swedish population 60 years-old and above was followed between 1987 and 2010 in the National Patient Register and the Cause of Death Register. Annual age-specific hip fracture cumulative incidence was estimated using hospital admissions for hip fractures. Three-month and one-year survival after the first hip fracture were also estimated. Period life table was used to assess lifetime risk of hip fractures occurring from age 60 and above, and the expected mean age of the first hip fracture.

RESULTS

The age-specific hip fracture incidence decreased between 1995 and 2010 in all ages up to 94 years, on average by 1% per year. The lifetime risk remained almost stable, between 9% and 11% for men, and between 18% and 20% for women. The expected mean age of a first hip fracture increased by 2.5 years for men and by 2.2 years for women. No improvements over time were observed for the 3-month survival for men, while for women a 1% decrease per year was observed. The 1-year survival slightly increased over time for men (0.4% per year) while no improvement was observed for women.

CONCLUSIONS

The age-specific hip fracture incidence has decreased over time. Yet the lifetime risk of a hip fracture has not decreased because life expectancy in the population has increased in parallel. Overall, survival after hip fracture has not improved.

Does improved survival lead to a more fragile population: time trends in second and third hospital admissions among men and women above the age of 60 in Sweden

Background

Life expectancy and time to first hospitalization have been prolonged, indicating that people live longer without needing hospital care. Life expectancy increased partially due to improved survival from severe diseases, which, however, could lead to a more fragile population. If so, time to a subsequent hospitalization could decrease. Alternatively, the overall trend of improved health could continue after the first hospitalization, prolonging also the time to subsequent hospitalizations. This study analyzes trends in subsequent hospitalizations among Swedish men and women above the age of 60, relating them to first hospitalization. It also looks at trends in the proportion of never hospitalized.

Methods

Individuals were followed in national registers for hospital admissions and deaths between 1972 and 2010. The proportion of never hospitalized individuals at given ages and time points, and the annual change in the risks of first and subsequent hospitalizations, were calculated.

Findings

An increase in the proportion of never hospitalized was seen over time. The risks of first as well as subsequent hospitalizations were reduced by almost 10% per decade for both men and women. Improvements were observed mainly for individuals below the ages of 90 and up to the year 2000.

Conclusions

The reduction in annual risk of both first and subsequent hospitalizations up to 90 years of age speaks in favor of a postponement of the overall morbidity among the elderly and provides no support for the hypothesis that the population becomes more fragile due to increased survival from severe diseases.