Individual and Regional Determinants for Physical Therapy Utilization in Germany: Multilevel Analysis of National Survey Data

BACKGROUND

Physical therapy is included in many clinical guidelines and is a commonly used health service. However, access to its benefits should not strongly depend on social or demographic factors.

OBJECTIVE

The present study used the Andersen model to explain to what extent physical therapy utilization in Germany depends on factors beyond medical need.

METHODS

The German Health Interview and Examination Survey for Adults (DEGS, 2008-2011; target population, 18-79 years) is part of the German health-monitoring system. Two-stage stratified cluster sampling resulted in a sample of 8152 participants. Data were matched with district-related information on social structures and service supply. Following Andersen's Behavioral Model of Health Services Use, this study identified predisposing, enabling, and need factors for physical therapy utilization using multilevel logistic regression analyses.

RESULTS

Physical therapy was used by 23.4% (95% CI: 22.0-24.8) of the German population within one year, with a higher proportion of females (26.8%; 95% CI: 25.1-28.6) than males (19.9%; 95% CI: 18.1-21.8) and an increase with age. Beyond medical need, physical therapy utilization depended on higher education, migrant background, nonsmoking (predisposing), social support, higher income, private health insurance, and gatekeeping service contact (enabling). Variation among districts partly reflected regional supply.

LIMITATIONS

Because the present study was cross-sectional, its findings provide representative information on physical therapy use but do not establish final causal links or identify whether utilization or supply in certain districts or population groups is adequate.

CONCLUSIONS

Whether certain regions are under- or overserved and whether further regulations are needed is of political interest. Physicians and therapists should develop strategies to improve both adherence of hard-to-reach groups and supply in low-supply regions.

[Frequency of falls among clients of home care services : The importance of care-related and social risk factors]

BACKGROUND

Among the elderly falls frequently result in injuries, increase the need for long-term care and pose a challenge for the quality assurance in nursing care. We describe the frequency and risk factors of falls among care-dependent persons using home care services in Germany.

METHODS

The participants of the study "Nursing-related health problems in home care" (n = 880) were recruited based on a list of the officially accredited nursing services. Data collection followed a standardized study protocol. Proportions were calculated and adjusted odds ratios and predicted probabilities were estimated using binary logistic regression.

RESULTS

Falls are a frequent occurrence among care-dependent persons who are cared for by home care services: Almost every tenth care-dependent person suffers from a fall within a period of 2 weeks. Falls are mainly associated with social and care-related factors. Besides a low educational status this comprises certain living and care arrangements: People living alone or having infrequent contact to their nursing service as well as clients that, according to their carers, should receive more support have a significantly higher chance of falling. Multimorbidity is a medical risk factor while neurological diseases as well as polypharmacy present increased risks only in interaction with living and care arrangements.

CONCLUSION

Nursing staff and physicians should maintain an overview of the social and health conditions of people in need of long-term care. If care-dependent persons live alone or are infrequently cared for, additional medical problems considerably increase the risk for falling; therefore, preventive interventions and follow-up assessments of actual need levels should be promptly considered if health conditions or living arrangements change.

Health and healthcare provision to asylum seekers and refugees in Germany

The wars and devastation of recent years have driven many people to flee their homes. Great numbers of asylum seekers and refugees have sought protection in Europe. In 2015 and 2016 alone, over one million people applied for asylum in Germany. This has posed a great challenge for Germany's healthcare provision facilities. The health of asylum seekers and refugees and the provision of their healthcare is therefore an important issue in terms of public health. The first part of this article describes the extent and legal framework of immigration to Germany during the past two years. The second part then discusses the issue of health and medical care for asylum seekers and refugees. Until now, no representative data on the health of this population exists. Studies so far have all relied on a small number of cases and been limited to particular regions and are therefore hard to compare. Moreover, there are no sufficiently standardised medical examinations during initial reception across all German federal states. Relevant findings suggest an urgent need to take action in the fields of mental health, chronic diseases and the provision of care to children of asylum seekers. A review of the data available proves the need for a national and systematic collection of valid data as a basis for adequate preventive and medical care. Different initiatives currently aim to improve the data collection basis in Germany. Over time, these new initiatives will significantly improve the data available on the health situation of asylum seekers and refugees in Germany. Once politics and broader society take these findings into account, this should contribute to an objective debate and evidence-based decisions.

[Participation of people with migration background in health surveys of the Robert Koch Institute]

People with migration background (PMB) make up a huge section of the population with specific health chances and risks. There are only limited data available on the health situation of PMB, since inclusion of PMB in surveys is hindered, e.g. due to language barriers. The present study has examined to what extent the population-based health surveys of the Robert Koch Institute have managed to include a representative extent of PMB, with the aim of deriving recommendations for analysis options and future recruitment strategies. The 2009 microcensus (MC) of the Federal Statistical Office was used as the basis to check whether the sample of KiGGS Wave 1 (2009-2012) and DEGS 1 (2008-2011) are representative regarding socio-demographic and migrant-specific characteristics. 1107 PMB participated in DEGS 1. In comparison to the MC, particular sub-groups are underrepresented in the sample: people who immigrated themselves (first-generation migrants), people with a low education and Turkish citizens. On the other hand, some age groups are overrepresented. In KiGGS Wave 1, 2021 children and adolescents with a migration background participated. Response was lower if parents had a low education. In total, the participation of children and adolescents with a migration background was lower in comparison to the KiGGS baseline survey. The data on PMB in DEGS 1 and KiGGS Wave 1 are appropriate for health analyses of this population group. However, analyses should be stratified according to characteristics like migrant generation, age or education level, or these characteristics should be adjusted for in statistical models. In order to achieve a representative inclusion of people with a migration background, in future surveys sub-group-specific activities to increase participation of PMB are recommended.

[Health status of people with a migrant background and impact of socio-economic factors: First results of the German Health Interview and Examination Survey for Adults (DEGS1)]

People with a migrant background (PMB) have specific health-related risk factors and resources compared to the non-migrant population (NMP). The analysis focuses on the relationship between migrant background and health and health-related behavior. Moreover, the study analyses whether socio-economic status (SES) contributes to the explanation of differences between PMB and the NMP. The research is based on the German Health Interview and Examination Survey for Adults (DEGS1) (2008-2012, n = 8151). The population for cross-sectional analyses contains 1107 PMB (weighted 19.8 %). The research question is addressed on the basis of nine exemplary health outcomes. All analyses are gender specific and make a distinction between first and second generation PMB. Logistic regression is calculated adjusting for age and SES. The results reveal clear gender-specific patterns: For women, differences are statistically significant mainly for first generation PMB. Compared to the NMP their self-assessed health status is lower, they are less physically active, consume less alcohol, feel less informed about cancer screening programs and make less use of preventive health services. However, daily smoking is more prevalent in second generation women. For men, differences are statistically significant for first and second generation PMB. Men with a migrant background show more symptoms of depression, consume less alcohol and feel less informed about cancer screening programs. After adjusting for SES the impact of migrant background on health status and health-related behavior largely remains stable. The study shows that the DEGS1 data offers valuable results and new insights into the health status of people with a migrant background. The use of this data for further research requires a differentiated approach to the concept of migrant background and a careful interpretation of results.

Alcohol consumption of adults in Germany: Harmful drinking quantities, consequences and measures

Harmful alcohol consumption is one of the five essential risk factors for disease, impairments and premature death around the world. It is considered to be a contributory cause for more than 200 diseases and is co-responsible for causing many intentional and unintentional injuries. In order to reduce harmful alcohol consumption, the health target "Reduce alcohol consumption" has been currently elaborated in Germany and focuses on a policy mix of behavioural and situational preventive measures to include as far as possible all relevant players for the development of overarching objectives. The data from the recurrent health surveys by the Robert Koch Institute (RKI) allow an evaluation of trends of harmful alcohol consumption in the population aged 25 to 69 between 1990/1992, 1997/1999, and 2008/2011. Harmful alcohol consumption is defined as a daily consumption of pure alcohol of more than 10g for women and more than 20g for men. For the years 2008-2011 harmful alcohol consumption for the age group 18 to 79 years is calculated based on the "German Health Interview and Examination Survey for Adults" (DEGS1) and examined in connection with socio-demographic and health-related factors. The results of DEGS1 show that 13.1% of women and 18.5% of men consume alcohol in harmful quantities. For men harmful alcohol consumption rises with the age; for women the lowest prevalence is found in those aged 30-39 years and the highest in the age group 50-59 years. Women with a high socio-economic status drink a harmful quantity of alcohol to a higher extent than women from medium or low status groups. For men there are no corresponding differences. Mainly smoking is associated with harmful alcohol consumption. Between 1990 and 1992 as well as between 2008 and 2011 harmful alcohol consumption has strongly declined, for women from 50.9% to 13.6%, for men from 52.6% to 18.3% (age group 25 to 69 years). Even if harmful alcohol consumption in the population has strongly declined, the per capita consumption of pure alcohol is above the average of the EU Member States in Germany. For that reason, preventive measures for specific target groups are required.

Alcohol-related mortality among adults

Risky, abusive and addictive consumption of alcoholic beverages greatly jeopardizes the drinker's health; it can harm third parties, affects the drinker's social relations and causes considerable costs to the national economy. National and international campaigns therefore aim to lower alcohol consumption and its consequences. Alcohol-related mortality is the most serious outcome of excessive alcohol consumption. Official statistics on causes of death include a number of entirely alcohol-related diagnoses. In 2014 an examination of deceased adults in Germany revealed a directly alcohol-related cause of death in 14,095 cases (20.8 for every 100,000 inhabitants). Such diagnoses were considerably more frequent for men than women, reaching a peak in the 55 to 64 age group. Overall, death from alcohol abuse is declining in Germany. Because by international standards there is still a relatively high consumption of alcoholic beverages in Germany, more action needs to be taken.

Traffic accidents under the influence of alcohol

In 2014, 260 persons were killed in Germany in road traffic accidents under the influence of alcohol. Compared to road traffic accidents in general, accidents under the influence of alcohol frequently have particularly serious consequences. In 2014, police established that 13,742 persons were involved in traffic accidents while under the influence of alcohol. Just under 40% of these were young men aged 18 to 34 years. The number of road traffic accidents under the influence of alcohol has been declining for over 20 years now and in 2014 reached its lowest level since the recording of the relevant data began.

A Consensus German Reporting Standard for Secondary Data Analyses, Version 2 (STROSA-STandardisierte BerichtsROutine für SekundärdatenAnalysen)

Although secondary data analyses have been established in recent years in health research, explicit recommendations for standardized, transparent and complete reporting of secondary data analyses do not exist as yet. Therefore, between 2009 and 2014, a first proposal for a specific reporting standard for secondary data analysis was developed (STROSA 1). Parallel to this national process in Germany, an international reporting standard for routine data analysis was initiated in 2013 (RECORD). Nevertheless, because of the specific characteristics of the German health care system as well as specific data protection requirements, the need for a specific German reporting standard for secondary data analyses became evident. Therefore, STROSA was revised and tested by a task force of 15 experts from the working group Collection and Use of Secondary Data (AGENS) of the German Society for Social Medicine and Prevention (DGSMP) and the German Society for Epidemiology (DGEpi) as well as from the working group Validation and Linkage of Secondary Data of the German Network for Health Services Research (DNVF). The consensus STROSA-2 checklist includes 27 criteria, which should be met in the reporting of secondary data analysis from Germany. The criteria have been illustrated and clarified with specific explanations and examples of good practice. The STROSA reporting standard aims at stimulating a wider scientific discussion on the practicability and completeness of the checklist. After further discussions and possibly resulting modifications, STROSA shall be implemented as a reporting standard for secondary data analyses from Germany. This will guarantee standardized and complete information on secondary data analyses enabling assessment of their internal and external validity.

Socioeconomic Status and Use of Outpatient Medical Care: The Case of Germany

Background

Socially disadvantaged people have an increased need for medical care due to a higher burden of health problems and chronic diseases. In Germany, outpatient care is chiefly provided by office-based general practitioners and specialists in private practice. People are free to choose the physician they prefer. In this study, national data were used to examine differences in the use of outpatient medical care by socioeconomic status (SES).

Methods

The analyses were based on data from 6,754 participants in the Robert Koch Institute’s German Health Interview and Examination Survey for Adults (DEGS1) aged between 18 and 69 years. The number of outpatient physician visits during the past twelve months was assessed for several medical specializations. SES was determined based on education, occupation, and income. Associations between SES and physician visits were analysed using logistic regression and zero-truncated negative binomial regression for count data.

Results

After adjusting for sociodemographic factors and health indicators, outpatients with low SES had more contacts with general practitioners than outpatients with high SES (men: incidence rate ratio [IRR] = 1.25; 95% confidence interval [CI] = 1.08–1.46; women: IRR = 1.20; 95% CI = 1.07–1.34). The use of specialists was lower in people with low SES than in those with high SES when sociodemographic factors and health indicators were adjusted for (men: odds ratio [OR] = 0.68; 95% CI = 0.51–0.91; women: OR = 0.56; 95% CI = 0.41–0.77). This applied particularly to specialists in internal medicine, dermatology, and gynaecology. The associations remained after additional adjustment for the type of health insurance and the regional density of office-based physicians.

Conclusion

The findings suggest that socially disadvantaged people are seen by general practitioners more often than the socially better-off, who are more likely to visit a medical specialist. These differences may be due to differences in patient preferences, physician factors, physician-patient interaction, and potential barriers to accessing specialist care.

[Utilization of Physiotherapy Services by Children and Adolescents - Results of the KiGGS- Baseline Survey]

Aim of the study: The use of physical therapy in German children and adolescents has so far solely been analyzed on the basis of health insurance data, which can neither consider case history nor social factors. Using the KiGGS-baseline survey it is possible to examine the use of physical therapy on the basis of parental reported health problems and social factors. Methodology: Identifiable determinants for the use of physical therapy in the last 12 months in the KiGGS-baseline survey were examined bivariate and multivariate in logistic regression models with mutual adjustment. The following determinants were considered: social factors, somatic disorders and psychological abnormalities. The proportion of the use of physical therapy, which can be explained by these determinants, was estimated using population-attributable risk fraction. Results: The frequency of the use of physical therapy in the last 12 months in the 0 to 17-year-olds in the KiGGS-baseline survey was 6,4% with higher use during infancy and adolescence. The socio-economic status of parents was not associated with the use of physical therapy. A migration background decreased the probability of the use of physical therapy, for example, among children aged 0 to 2 years (OR_adjusted: 0,5 [95% CI: 0,2-1,0]). In those with scoliosis, the use of physical therapy was almost twice as frequent in infancy as in adolescence (58,4 vs. 34,4%). A maximum of 15% of all children and adolescents with back pain reported the use of physical therapy. When ADHD was diagnosed at preschool age, the probability of using physical therapy was increased (OR_adjusted: 5,1 [95% CI: 1,4-18,6]). The health problems, which were assessed in the KiGGS-baseline survey and considered for this analysis could explain 37% of the use of physical therapy in the 0 to 2-year-olds. In the other age groups, 59 to 62% could be explained. Conclusion: Comparison of the KiGGS-baseline survey with health insurance data shows similar frequencies and patterns of the use of physical therapy and can therefore be used for the analysis of healthcare questions on the use of physical therapy. The data point to potential deficits in treatment in population segments and for some conditions. An examination of these hypotheses based on analyses of health insurance data seems to be reasonable.

Occupational Injuries in Germany: Population-Wide National Survey Data Emphasize the Importance of Work-Related Factors

Unintentional injuries cause much of the global mortality burden, with the workplace being a common accident setting. Even in high-income economies, occupational injury figures remain remarkably high. Because risk factors for occupational injuries are prone to confounding, the present research takes a comprehensive approach. To better understand the occurrence of occupational injuries, sociodemographic factors and work- and health-related factors are tested simultaneously. Thus, the present analysis aims to develop a comprehensive epidemiological model that facilitates the explanation of varying injury rates in the workplace. The representative phone survey German Health Update 2010 provides information on medically treated occupational injuries sustained in the year prior to the interview. Data were collected on sociodemographics, occupation, working conditions, health-related behaviors, and chronic diseases. For the economically active population (18-70 years, n = 14,041), the 12-month prevalence of occupational injuries was calculated with a 95% confidence interval (CI). Blockwise multiple logistic regression was applied to successively include different groups of variables. Overall, 2.8% (95% CI 2.4-3.2) of the gainfully employed population report at least one occupational injury (women: 0.9%; 95% CI 0.7-1.2; men: 4.3%; 95% CI 3.7-5.0). In the fully adjusted model, male gender (OR 3.16) and age 18-29 (OR 1.54), as well as agricultural (OR 5.40), technical (OR 3.41), skilled service (OR 4.24) or manual (OR 5.12), and unskilled service (OR 3.13) or manual (OR 4.97) occupations are associated with higher chances of occupational injuries. The same holds for frequent stressors such as heavy carrying (OR 1.78), working in awkward postures (OR 1.46), environmental stress (OR 1.48), and working under pressure (OR 1.41). Among health-related variables, physical inactivity (OR 1.47) and obesity (OR 1.73) present a significantly higher chance of occupational injuries. While the odds for most work-related factors were as expected, the associations for health-related factors such as smoking, drinking, and chronic diseases were rather weak. In part, this may be due to context-specific factors such as safety and workplace regulations in high-income countries like Germany. This assumption could guide further research, taking a multi-level approach to international comparisons.