Jelena Epping

Identifying time trends in multimorbidity—defining multimorbidity in times of changing diagnostic practices

AimTime trends in multimorbidity have rarely been examined and no criteria have been developed to measure the development of multimorbidity over time. Against the backdrop of increasing numbers of diagnoses a robust measure is needed that is sensitive to changes over time and allows to differentiate between multimorbid and non-multimorbid individuals. We examine how prevalence estimates change as criteria for defining multimorbidity are varied systematically and how this influences the observed time trend.Subject and methodsOur analyses are based on the data of a German statutory health insurance from 2005 to 2013. Measures are compared using different minimal numbers of chronic conditions required to define multimorbidity: three and six. As a stricter criterion both variants are then combined with polypharmacy.ResultsAll definitions of multimorbidity are leading to increasing prevalence rates over time. Defining multimorbidity as the presence of three or more chronic conditions leads to very high prevalence rates and is lacking discriminative power in the oldest old. Lower prevalence rates with a sharp increase over time can be observed in the proportion of insured with at least six chronic conditions. Adding polypharmacy reduces the growth over time remarkably.ConclusionThe analyses suggest that the increase of multimorbidity is mainly driven by chronic conditions that are not in need of complex medication. Simple disease counts are inappropriate for defining multimorbidity.

Social inequalities in the utilization of outpatient psychotherapy: analyses of registry data from German statutory health insurance

BackgroundMost studies on health disparities deal with the occurrence of disease, but little is known about inequalities in the utilization of mental health services. This paper examines social inequalities in the utilization of outpatient psychotherapy within a health care system where there are low financial barriers to health care and a lack of specific health policies to address access to psychotherapeutic services.MethodsRegistry data of German statutory health insurance for the year 2013 were used (total population: N = 746,963; 10,711 women and men with psychotherapy). Logistic regression analyses were performed to estimate the effects of three socio-economic (SES) indicators on the utilization of psychotherapy.ResultsUtilization of psychotherapy by SES status did not correspond to the social structure of the insured population. Social disparities that disadvantaged less privileged women and men were found; this applied to education, income and occupational position. The most pronounced differences were found for education. In contrast, effects of income were rather small. These findings must be interpreted against the backdrop of the absence of financial barriers to outpatient psychotherapy in Germany.ConclusionsA marked degree of psychotherapy under-utilization was found for lower SES groups. Psychotherapists should pay increased attention to clients with lower socio-economic position. Enhancing mental health literacy, as well as reducing the stigma of mental illness, is crucial for increasing the usage of psychotherapeutic services of those who need it most. Relevant health policy is needed to reduce the barriers to, and consequently increase psychotherapy utilization.

Morbidity compression in myocardial infarction 2006 to 2015 in terms of changing rates and age at occurrence: A longitudinal study using claims data from Germany

Background According to James Fries morbidity compression is present if morbidity rates are decreasing to a larger extent than mortality rates. Compression also occurs if age at onset is increasing at a faster pace than age at death. These two variants of the compression hypothesis were formulated as a population concept. Compression has seldom been studied with a specific disease as application. Methods Morbidity compression was examined in terms of myocardial infarction (MI) by using German claims data covering the years 2006 to 2015. The findings are based on an annual case number of about 2 m women and men aged 18 years and older. Analyses were performed by means of proportional hazards regression and by using linear regression. Results Decreases of morbidity rates were more pronounced than those of mortality. For men, the hazard ratio for contracting MI in 2015 as compared to 2006 was hr = 0.66 and hr = 0.71 for the female population. The respective results for mortality were hr = 0.75 in men and hr = 1.0 in women. They can be interpreted in favor of morbidity compression. For the subgroup of women and men with MI, changes of onset age revealed marked gender differences. For 2015 as compared with 2006, age at MI-occurrence in men increased by 10.5 months as compared to an increase of 10.4 months for age at death. In women changes were smaller and statistically not significant. The findings referring to women have to be interpreted against the backdrop of higher onset age and higher age at death than in men. Conclusions Taken together, morbidity compression has occurred in terms of decreasing MI-rates as well as in terms of increased onset age in men. It can be concluded that both processes have led to an improvement of healthy lifetime. Decreasing morbidity rates in women are also pointing towards morbidity compression, a finding that is not complemented by changes of onset age. Our data are demonstrating that morbidity rates and age at onset may vary independently. From this perspective morbidity compression is a multi-faceted phenomenon.

Widening inequalities in multimorbidity? Time trends among the working population between 2005 and 2015 based on German health insurance data

BackgroundPrevious research has produced evidence for social inequalities in multimorbidity, but little is known on how these disparities change over time. Our study investigates the development of social inequalities in multimorbidity among the middle-aged and older working population. Special attention is paid to whether differing time trends between socio-economic status (SES) groups have taken place, increasing or decreasing inequalities in multimorbidity.MethodsThe analyses are based on claims data of a German statutory health insurance company covering an observation period from 2005 to 2015. Multimorbidity prevalence risks are estimated using logistic generalized estimation equations (GEE) models. Predicted probabilities of multimorbidity prevalence are used to assess time trends in absolute social inequalities in terms of educational level, income, and occupational group.ResultsThe prevalence risks of multimorbidity rose among all SES groups and social gradients persist throughout the observation period, indicating significantly higher multimorbidity prevalence risks for individuals with lower SES. Widening absolute inequalities are found among men in terms of educational level and among women in terms of occupational groups.ConclusionsThe increases in multimorbidity prevalence among the working population are accompanied by widening social inequalities, pointing towards a growing disadvantage for men and women in lower SES groups. The rising burden and the increasing inequalities among the working population stress the importance of multimorbidity as a major public health concern.

Gesünder nach der Psychotherapie? Sekundärdatenanalyse der Arbeitsunfähigkeitszeiten vor und nach ambulanter Verhaltenstherapie, tiefenpsychologisch fundierter und analytischer Psychotherapie

INTRODUCTION In employed populations sickness absence can be used as a good indicator of health status. In the present study, it was examined how periods of sickness absence are developing within one year before and after psychotherapy under comparison of three types of psychotherapy (behavior therapy, psychodynamic psychotherapy, and psychoanalysis), all fully covered by statutory health insurance. METHODS AND DATA The analyses were performed with pseudonymized claims data from the AOK Niedersachsen, a statutory health insurance (N=2,900,065 insured). Certified sickness absences before and after psychotherapy were examined for 9,916 patients. Parallelized controls were used to build a comparison of the length of sickness absences. Analyses were performed separately for women and for men. RESULTS Within one year before starting psychotherapy, patients had longer sickness absences than controls on average. There was a reduction in the length of sickness absence of 20 days (median) within one year before to 12 days (median) within one year after the psychotherapy. The obtained differences between types of psychotherapy were considerable. DISCUSSION Differences in terms of sickness absences may in part be explained by socio-demographic differences. Patients who underwent psychoanalysis were younger and had higher educational levels. However, it remains unclear why the differences of sickness absence periods were that high. It has to be discussed whether self-selection of patients with better health into psychoanalysis had occurred. CONCLUSIONS Patients undergoing psychoanalysis differ from patients who underwent other types of psychotherapy in terms of their duration of sickness absence as well as socio-demographic profile. Thus, due to differences in the composition of patients future research in psychotherapy will have to differentiate by type of psychotherapy.