Determinants for participation in a prevention and early detection programme for children and adolescents in Germany: does social background play a role?

Early detection examinations and prevention are particularly important in childhood and adolescence, as certain diseases are already developing and health-related attitudes and behaviour patterns are formed and implemented. Despite the importance of screening and prevention, not all families use the available services and programmes. The aim of this study is to identify factors associated with participation in an early detection and prevention programme for children and adolescents, as well as factors associated with actual uptake of an examination. The analyses are based on questionnaire data of an online survey of participants and non-participants. Descriptive analyses and logistic regression models are conducted on a defined sample (n = 1,289). The results show that both groups differ with regard to several factors: age, chronic diseases, federal state, living space, number of siblings, country of birth, migration background, language spoken at home, mother's occupational status, household income, treatment duration, and trust in treating physician. Regression I shows that participation in the programme is significantly associated with higher age, language spoken at home, mother's occupational status and greater trust in the treating physician. The latter demonstrates the highest predictive power. Regression II indicates that the actual uptake of an examination among participants is significantly affected by age, federal state and father's occupational status. Overall, the results of this study show that social background partly plays a role in participation, but that factors such as trust in the treating physician also have a significant impact. For the future, further research on the factors influencing participation in screening and prevention services or programmes for children and adolescents is important in order to develop strategies to overcome existing barriers and thus reach groups that have not been reached yet. In this context, trust in the treating physician and his or her influence on decision-making should in particular be considered.

The effectiveness of additional screening examinations for children and adolescents in Germany: a longitudinal retrospective cohort study.

BACKGROUND: Continuous medical care is particularly important in childhood and adolescence. Since there are gaps in regular care in Germany, various health insurance providers offer to cover additional examinations (e.g., U10, U11, J2) to ensure ongoing paediatrician visits. However, the question arises as to whether these examinations are effective. Thus, the main objective of this study is to determine whether participation in the U10, U11 or J2 examinations leads to more frequent and earlier diagnosis and treatment of age-specific diseases. METHODS: The analyses are based on administrative claims data from a statutory health insurance fund. For each examination, an intervention group (IG) is formed and matched with a corresponding control group (CG). Descriptive analyses include proportion with diagnosis and treatment, average age of diagnosis and treatment initiation. Hypothesis testing is performed using methods appropriate to each. In addition, subgroup analyses and binominal logistic regression models are conducted. RESULTS: More diagnoses are detected in IG, irrespective of subgroups. Additionally, diagnoses are made slightly earlier on average in IG. In the total samples, more therapies are initiated in IG, and slightly earlier. Considering only diagnosed cases, more therapies are initiated in CG but continue to be started earlier in IG. Regression models show that participation in the examinations has the highest predictive power for detecting a diagnosis. The presence of a chronic disease and sex - male at the U10 and U11 and female at the J2 - are also significantly associated. The models further show that nationality, unemployment of parents and region also have a significant influence in some cases, whereas school-leaving qualification, vocational qualification and income of parents do not. Considering the initiation of treatment in overall samples, the models show similar results, but here the presence of a chronic illness has the highest predictive power. CONCLUSION: The results indicate that participation in the examinations leads to significantly more diagnoses and, in the overall samples, significantly more treatments. In addition, diagnoses were made somewhat earlier and therapies were initiated somewhat earlier. In the future, it would be useful to investigate the U10, U11 and J2 examinations over a longer time horizon to determine whether the statistically significant difference found is also clinically relevant, i.e., earlier diagnosis and initiation of therapy lead to prevention of manifestation or progression of the diagnosed diseases and to avoidance of secondary diseases. TRIAL REGISTRATION: German Clinical Trials Register (DRKS), DRKS-ID: DRKS00015280. Prospectively registered on 18 March 2019.

The detection and prevention of adverse drug events in nursing home and home care patients: Study protocol of a quasi-experimental study.

AIM: To estimate the cost-effectiveness of an intervention facilitating the early detection of adverse drug events through the means of health professional training and the application of a digital screening tool. DESIGN: Multi-centred non-randomized controlled trial from August 2018 to March 2020 including 65 nursing homes or home care providers. METHODS: We aim to estimate the effect of the intervention on the rate of adverse drug events as primary outcome through a quasi-experimental empirical study design. As secondary outcomes, we use hospital admissions and falls. All outcomes will be measured on patient-month level. Once the causal effect of the intervention is estimated, cost-effectiveness will be calculated. For cost-effectiveness, we include all patient costs observed by the German statutory health insurance. RESULTS: The results of this study will inform about the cost-effectiveness of the optimized drug supply intervention and provide evidence for potential reimbursement within the German statutory health insurance system.

Digital preventive measures for arterial hypertension (DiPaH) - a mixed-methods study protocol for health services research.

Introduction: Digital health measures promise to further improve the quality of cardiovascular care but have not yet been widely implemented in routine care. The research project Digital preventive measures for arterial hypertension (DiPaH) will systematically identify structural and individual factors in different stakeholders that influence the use of digital preventive measures in patients with arterial hypertension in Germany. Special focus is given to remote and sparsely populated areas, the age-specific impact, as well as influence of digital health literacy. Methods and analysis: The DiPaH project is an exploratory cross-sectional study with a mixed-methods design, in which written surveys and interviews with patients and physicians will be conducted. In addition, secondary data from a health insurance company will be analyzed. In module 1, individuals from the database of the health insurance company with confirmed arterial hypertension will be interviewed (1,600 questionnaires, 30 interviews). Module 2 includes users of digital prevention offers and apps (400 questionnaires, 40 interviews) and in module 3, family physicians and cardiologists will be interviewed (400 questionnaires, 40 interviews). In a final module, the overall results will be analyzed and recommendations for interventions in clinical care will be derived. Discussion: The DiPaH project will contribute to a patient-oriented and demand-based improvement of arterial hypertension prevention services in health care. Challenges and barriers will be analyzed and the respective target groups identified based on their prevention needs and social characteristics to enable a patient-centered implementation of digital prevention of arterial hypertension and cardiovascular services in general, and finally to improve cardiovascular outcomes. Clinical trial registration: https://drks.de/search/de/trial/DRKS00029761, identifier DRKS00029761.

How does the integration of collaborative care elements in a gatekeeping system affect the costs for mental health care in Germany?

Mental disorders are widespread, debilitating and associated with high costs. In Germany, usual care (UC) for mental disorders is afflicted by poor coordination between providers and long waiting times. Recently, the primary alternative to UC-the gatekeeping-based general practitioners (GP) program-was extended by the collaborative Psychiatry-Neurology-Psychotherapy (PNP) program, which is a selective contract designed to improve mental health care and the allocation of resources. Here, we assess the effects of the GP program and the PNP program on costs for mental health care. We analyzed claims data from 2014 to 2016 of 55,472 adults with a disorder addressed by PNP to compare costs and sick leave days between PNP, the GP program and UC. The individuals were grouped and balanced via entropy balancing to adjust for potentially confounding covariates. We employed a negative binomial model to compare sick leave days and two-part models to compare sick pay, outpatient, inpatient and medication costs over a 12-month period. The PNP program significantly reduced sick pay by 164€, compared to UC, and by 177€, compared to the GP program. Consistently, sick leave days were lower in PNP. We found lower inpatient costs in PNP than in UC (-194€) and in the GP program (-177€), but no reduction in those shares of inpatient costs that accrued in psychiatric or neurological departments. Our results suggest that integrating collaborative care elements in a gatekeeping system can favourably impact costs. In contrast, we found no evidence that the widely implemented GP program reduces costs for mental health care.

Regional variation of care dependency after hip fracture in Germany: A retrospective cohort study using health insurance claims data.

OBJECTIVE: To investigate variation of care dependency after hip fracture across German regions based on the assessment by the German statutory long-term care insurance. DATA SOURCES/STUDY SETTING: Patient-level statutory health and long-term care insurance claims data from 2009-2011 and official statistical data from Germany. STUDY DESIGN: We performed a retrospective cohort study. Investigated multinomial outcome categories were increase in care dependency (new onset or a higher care dependency than pre-fracture), no change as reference and death as competing risk in the quarterly period following hip fracture (follow-up 3 months). Regional variation was operationalized with the variance of regional-level random intercepts based on generalized linear mixed models. We adjusted for patient and regional characteristics. PRINCIPAL FINDINGS: The study included 122,887 hip fracture patients in 95 German postal code regions. Crude outcomes were 30.87% increase in care dependency and 14.35% death. Results indicated modest variation on regional level. Male sex, increasing age, increasing comorbidity, pertrochanteric and subtrochanteric fracture site compared to femoral neck, time from hospital admission to surgery of 3 or more days, as well as increasing inpatient length of stay, non-participation in rehabilitation and regions with lower hospital density were positively associated with an increase in care dependency. CONCLUSIONS: Several characteristics on patient and regional level associated with the outcome were identified. Variation in the increase in care dependency after hip fracture appeared to be attributable primarily to patient characteristics. Variation on regional level was only modest.

[Prevalence of Cardiovascular Risk Factors at The Population Level: A Comparison of Ambulatory Physician-Coded Claims Data With Clinical Data From A Population-Based Study]. / Untersuchung der Prävalenz kardiologischer Risikofaktoren in der Allgemeinbevölkerung: Ein Vergleich ambulanter ärztlicher Abrechnungsdaten mit Daten einer populationsbasierten Studie.

OBJECTIVE: The study assesses the validity of ICD-10 coded cardiovascular risk factors in claims data using gold-standard measurements from a population-based study for arterial hypertension, diabetes, dyslipidemia, smoking and obesity as a reference. METHODS: Data of 1941 participants (46 % male, mean age 58±13 years) of the Study of Health in Pomerania (SHIP) were linked to electronic medical records from the regional association of statutory health insurance physicians from 2008 to 2012 used for billing purposes. Clinical data from SHIP was used as a gold standard to assess the agreement with claims data for ICD-10 codes I10.- (arterial hypertension), E10.- to E14.- (diabetes mellitus), E78.- (dyslipidemia), F17.- (smoking) and E65.- to E68.- (obesity). RESULTS: A higher agreement between ICD-coded and clinical diagnosis was found for diabetes (sensitivity (sens) 84%, specificity (spec) 95%, positive predictive value (ppv) 80%) and hypertension (sens 72%, spec 93%, ppv 97%) and a low level of agreement for smoking (sens 18%, spec 99%, ppv 89%), obesity (sens 22%, spec 99%, ppv 99%) and dyslipidemia (sens 40%, spec 60%, ppv 70%). Depending on the investigated cardiovascular risk factor, medication, documented additional cardiovascular co-morbidities, age, sex and clinical severity were associated with the ICD-coded cardiovascular risk factor. CONCLUSION: The quality of ICD-coding in ambulatory care is highly variable for different cardiovascular risk factors and outcomes. Diagnoses were generally undercoded, but those relevant for billing were coded more frequently. Our results can be used to quantify errors in population-based estimates of prevalence based on claims data for the investigated cardiovascular risk factors.

Leadership position and physician visits - results of a nationally representative longitudinal study in Germany.

BACKGROUND: So far, studies within the occupational field have largely concentrated on working conditions and job stressors and staff members' or subordinate health. Only a few have focused on managers in this context, but studies are missing that explicitly look at the relation between leadership position and health care use (HCU). Thus, the purpose of this study was to examine the potential effects of a change in leadership position on HCU in women and men longitudinally. METHODS: Data were drawn from a nationally representative longitudinal study in Germany (German Socio-Economic Panel, GSOEP). Data from 2009 and 2013 were used. Leadership position was divided into (i) top management, (ii) middle management, (iii) lower management, and (iv) a highly qualified specialist position. The number of physician visits in the preceding 3 months were used to quantify HCU (n = 2140 observations in regression analysis; 69% male). RESULTS: Adjusting for various potential confounders (e.g., age, self-rated health, chronic conditions, and personality factors), Poisson FE regression analysis revealed that changes from a highly qualified specialist position to the top management were associated with a decrease in the number of physician visits in men (ß = .47, p < .05), but not in women. Gender differences (gender x leadership position) were significant. CONCLUSIONS: Findings of this study emphasize the impact of leadership positions on the number of physician visits in men. Further study is required to elucidate the underlying mechanisms.

Collaborative mental health care program versus a general practitioner program and usual care for treatment of patients with mental or neurological disorders in Germany: protocol of a multiperspective evaluation study.

BACKGROUND: German statutory health insurances are pursuing the goal of improving treatment of chronically ill people by promoting networks of health care providers and supporting treatments that reflect the current medical knowledge. The so-called PNP program is a collaborative care program developed by a German statutory health insurance, which defines specific rules on psychiatric, neurological, psychosomatic, and psychotherapeutic treatment. It aims to strengthen provision of guideline-based outpatient treatment and collaboration between different health care providers. It includes the general practitioners' program, which aims to strengthen the coordinating role of GPs. This study aims to evaluate the PNP program. METHODS: To evaluate the effectiveness of the PNP program, we will conduct a prospective non-randomized controlled trial with primary data comparing patients enrolled in the PNP program and in the general practitioner program (intervention group) to patients enrolled only in the general practitioner program and patients who receive usual care (control groups). To evaluate costs and level of detail of diagnoses in care of patients with PNP program, we will use routinely collected secondary administrative health data in a retrospective quasi-experimental design. Patients who are at least 18 years old, insured by the statutory health insurance AOK, and on sick leave due to one of the mental or neurological diagnoses (affective, anxiety, somatoform or adjustment disorders, alcohol use disorders, schizophrenia, multiple sclerosis) will be included. We will collect data at baseline and at 12-months follow-up. Health-related quality of life (primary data) and direct costs (secondary data) caused by outpatient and inpatient service utilization and medication will be the primary outcomes. We will analyze data using (generalized) linear mixed models and exploratory analyses. We will use entropy balancing to control for possible differences between the groups. We will use an exploratory sequential design including qualitative and descriptive statistical analyses to assess the structure and process quality of the PNP program among health care providers. DISCUSSION: The results will help to develop a comprehensive picture of collaborative care programs for mental and neurological health care from the perspective of patients, health care providers, and health insurance companies. TRIAL REGISTRATION: German Clinical Trial Register DRKS00013114.

Obesity and sickness absence: results from a longitudinal nationally representative sample from Germany.

OBJECTIVES: The current study aimed at investigating the longitudinal association between obesity and sickness absence in women and men in Germany. METHODS: Data were derived from the German Socio-Economic Panel (GSOEP) which is a nationally representative, longitudinal study of private households in Germany. We draw on data from 2002 to 2012. Information on self-rated body mass index has been collected every second wave since 2002. Sick leave days (total number of working days missed due to illness in the past calendar year) and sick from work for more than 6 weeks in the preceding 12 months (yes/no) were used as outcome measures. Fixed-effects (FE) regression models were used for the total sample and stratified by sex. Gender differences were examined using interaction terms (sex × weight category). RESULTS: Controlling for several potential confounders, Poisson FE regression analysis showed that transitions from normal weight to obesity were associated with an increase in sick leave days in women (incidence rate ratio (IRR) 1.27, 95% CI 1.02 to 1.57) but not in men (IRR 0.85, 95 % CI 0.68 to 1.06)-with significant gender differences (sex × obesity, p<0.01). Moreover, conditional FE logistic regressions showed that transitions from normal weight to overweight were associated with an increase in the probability of long-term absenteeism in women (overweight, OR 1.41, 95% CI 1.08 to 1.85) but not in men (overweight, OR 0.84, 95% CI 0.65 to 1.09). Gender differences were significant (sex × overweight, p<0.01). CONCLUSIONS: Our findings stress the longitudinal association between excess weight and increased likelihood of sick leave days as well as long-term absenteeism in women.