Dominik Ose

Impact of Primary Care–Based Disease Management on the Health-Related Quality of Life in Patients With Type 2 Diabetes and Comorbidity

OBJECTIVE This study examined the effectiveness of the German diabetes disease management program (DMP) for patients with varying numbers of other medical conditions with respect to their health-related quality of life (HRQoL). RESEARCH DESIGN AND METHODS A questionnaire, including the HRQoL-measured EQ-5D, was mailed to a random sample of 3,546 patients with type 2 diabetes (59.3% female). The EQ-5D score was analyzed by grouping patients according to those on a DMP and those receiving routine care. RESULTS The analysis showed that participation in the DMP (P < 0.001), the number of other medical conditions (P < 0.001), and the interaction between the DMP and the number of other conditions (P < 0.05) had a significant impact on the EQ-5D score. CONCLUSIONS Our findings suggest that the number of other medical conditions may have a negative impact on the HRQoL of patients with type 2 diabetes. The results demonstrate that the German DMP for type 2 diabetes may help counterbalance this effect.

Additional impact of concomitant hypertension and osteoarthritis on quality of life among patients with type 2 diabetes in primary care in Germany – a cross-sectional survey

BackgroundPatients with type 2 diabetes are likely to have comorbid conditions which represent a high burden for patients and a challenge for primary care physicians. The aim of this cross-sectional survey was to assess the impact of additional comorbidities on quality of life within a large sample of patients with type 2 diabetes in primary care.MethodsA cross-sectional survey within a large sample (3.546) of patients with type 2 diabetes in primary care was conducted. Quality of life (QoL) was assessed by means of the Medical Outcome Study Short Form (SF-36), self reported presence of comorbid conditions was assessed and groups with single comorbidities were selected. QoL subscales of these groups were compared to diabetes patients with no comorbidities. Group comparisons were made by ANCOVA adjusting for sociodemographic covariates and the presence of depressive disorder.ResultsOf 3546 questionnaires, 1532 were returned, thereof 1399 could be analysed. The mean number of comorbid conditions was 2.1. 235 patients declared to have only hypertension as comorbid condition, 97 patients declared to have osteoarthritis only. Patients suffering from diabetes and hypertension reached similar scores like diabetic patients with no comorbidities. Patients with diabetes and osteoarthritis reached remarkable lower scores in all subscales. Compared to patients with diabetes alone these differences were statistically significant in the subscales representing pain and physical impairment.ConclusionThe impact of osteoarthritis as an often disabling and painful condition on QoL in patients with type 2 diabetes is higher than the impact of hypertension as common but often asymptomatic comorbidity. Individual care of patients with chronic conditions should aim at both improving QoL and controlling risk factors for severe complications.

Patterns of Multimorbidity in Primary Care Patients at High Risk of Future Hospitalization

Care management is seen as a promising approach to address the complex care needs of patients with multimorbidity. Predictive modeling based on insurance claims data is an emerging concept to identify patients likely to benefit from care management interventions. We aimed to identify and explore patterns of multimorbidity in primary care patients with high predicted risk of future hospitalizations in order to develop a primary care-based care management intervention. We conducted a retrospective cohort study to assess insurance claims data of 6026 patients from 10 primary care practices in Germany. We stratified the population by the predicted likelihood of hospitalization (LOH) using a diagnostic cost group-based case-finding software. Co-occurrence of chronic conditions in multimorbid patients with an upper-quartile LOH score was explored by extraction of mutually exclusive patterns. Predictive modeling identified multimorbid elderly patients with a high number of co-occurring chronic conditions (mean number 7.8 [SD 3.1]). Assessing co-occurrence of highly prevalent chronic conditions in 1407 multimorbid patients with upper-quartile LOH revealed 471 mutually exclusive patterns with low single frequencies. The observed prevalence significantly exceeded expected prevalence for patterns with causal comorbidity. Additionally, chronic pain (related to osteoarthritis) or depression could be identified as discordant co-occurring conditions in 80% (12/15) of the most common multimorbidity patterns. High-risk primary care patients suffer from heterogeneous individual patterns of co-occurring chronic conditions. Care management interventions will have to account for discordant co-occurring conditions such as osteoarthritis and depression.

Evaluating the Quality of Colorectal Cancer Care across the Interface of Healthcare Sectors

Background Colorectal cancer (CRC) has a high prevalence in western countries. Diagnosis and treatment of CRC is complex and requires multidisciplinary collaboration across the interface of health care sectors. In Germany, a new nationwide established program aims to provide quality information of healthcare delivery across different sectors. Within this context, this study describes the development of a set of quality indicators charting the whole pathway of CRC-care including data specifications that are necessary to operationalize these indicators before practice testing. Methods Indicators were developed following a systematic 10 step modified ‘RAND/UCLA Appropriateness Method’ which involved a multidisciplinary panel of thirteen participants. For each indicator in the final set, data specifications relating to sources of quality information, data collection procedures, analysis and feedback were described. Results The final indicator set included 52 indicators covering diagnostic procedures (11 indicators), therapeutic management (28 indicators) and follow-up (6 indicators). In addition, 7 indicators represented patient perspectives. Primary surgical tumor resection and pre-operative radiation (rectum carcinoma only) were perceived as most useful tracer procedures initiating quality data collection. To assess the quality of CRC care across sectors, various data sources were identified: medical records, administrative inpatient and outpatient data, sickness-funds billing code systems and patient survey. Conclusion In Germany, a set of 52 quality indicators, covering necessary aspects across the interfaces and pathways relevant to CRC-care has been developed. Combining different sectors and sources of health care in quality assessment is an innovative and challenging approach but reflects better the reality of the patient pathway and experience of CRC-care.

The patients’ active role in managing a personal electronic health record: a qualitative analysis

PurposeThe complexity of illness and cross-sectoral health care pose challenges for patients with colorectal cancer and their families. Within a patient-centered care paradigm, it is vital to give patients the opportunity to play an active role. Prospective users’ attitudes regarding the patients’ role in the context of a patient-controlled electronic health record (PEPA) were explored.MethodsA qualitative study across regional health care settings and health professions was conducted. Overall, 10 focus groups were performed collecting views of 3 user groups: patients with colorectal cancer (n = 12) and representatives from patient support groups (n = 2), physicians (n = 17), and other health care professionals (HCPs) (n = 16). Data were audio- and videotaped, transcribed verbatim and thematically analyzed using qualitative content analysis.ResultsThe patients’ responsibility as a gatekeeper and access manager was at the center of the focus group discussions, although HCPs addressed aspects that would limit patients taking an active role (e.g., illness related issues). Despite expressed concerns, PEPAs possibility to enhance personal responsibility was seen in all user groups.ConclusionsGiving patients an active role in managing a personal electronic health record is an innovative patient-centered approach, although existing restraints have to be recognized. To enhance user adoption and advance PEPAs potential, key user needs have to be addressed.

Stakeholders’ perspectives on biobank-based genomic research: systematic review of the literature

The success of biobank-based genomic research is widely dependent on people’s willingness to donate their tissue. Thus, stakeholders’ opinions should be considered in the development of best practice guidelines for research and recruiting participants. We systematically analyzed the empirical literature describing different stakeholders’ views towards ethical questions with regard to type of consent, data sharing and return of incidental findings. Patients are more open to one-time general consent than the public. Only a small proportion desires recontact if the research aim changed. A broad consent model would prevent only a small proportion of patients from participating in research. Although professionals are concerned about a risk of reidentification, patients and the public support data sharing and find that the benefit of research outweighs the potential risk of reidentification. However, they desire detailed information about the privacy protection measures. Regarding the return of incidental findings, the public and professionals focus on clinically actionable results, whereas patients are interested in receiving as much information as possible. For professionals, concrete guidelines that help managing the return of incidental findings should be warranted. For this it would be helpful addressing the different categories – actionable, untreatable and inheritable diseases – upfront with patients and public.

The impact of perceived social support and sense of coherence on health-related quality of life in multimorbid primary care patients.

This study explores the impact of perceived social support and sense of coherence as positive resources for health-related quality of life in multimorbid primary care patients. We analysed cross-sectional survey data on health-related quality of life (EQ-5D), perceived social support (FSozU-K22), sense of coherence (SOC-L9), social demographics and self reported morbidity of 103 multimorbid patients from 10 general practices in Germany. A multiple linear regression model was used to determine the impact of social support and sense of coherence on the health-related quality of life while controlling for age, sex, educational level, marital status and number of chronic conditions. In the final regression model, higher sense of coherence scores were associated with higher health-related quality of life scores (standardized ß 0.34, p < 0.001) whereas a higher number of chronic conditions was associated with lower health-related quality of life scores (standardized ß −0.41, p < 0.001). In the bivariate model, higher perceived social support was associated with higher health-related quality of life scores (standardized ß 0.35, p < 0.001), whereas the model failed to show a significant association after controlling for sense of coherence which is a potential resource for improving health-related quality of life in multimorbid primary care patients. It emerged as a significant element contributing to the prediction of health-related quality of life. This issue may indicate the importance of internal resources for multimorbid patients.

The challenge of cardiovascular prevention in primary care: Implications of a European observational study in 8928 patients at different risk levels

Background Cardiovascular prevention can be provided to patients at different risk levels. The aim of this study was to compare the quality of cardiovascular prevention provided in European primary care between patients with diagnosed coronary heart disease (CHD) and individuals at high risk due to known risk factors but not labelled with a diagnosis of cardiovascular disease (CVD). Additionally, we aimed to identify individual and practice factors to predict risk factor control. Methods An international cross-sectional study was conducted in 10 European countries. Clinical record data were abstracted for quality indicators for 8928 patients in 10 countries and patient questionnaires were completed by 7846 patients in nine countries. Information about 320 general practices was assessed using practice questionnaires and interviews. Hierarchical multilevel modelling was used for analyses. Results Recording of risk factors and advice was higher in the CHD than in the high-risk group. Risk factor control was better in the CHD group: uncontrolled levels of blood pressure (34.2 vs. 49.3%; p < 0.001), cholesterol (32.4 vs. 64.5%; p < 0.001). Predictors of risk factor control were medication adherence (RR 0.97; p = 0.007) and health-related quality of life (RR 0.86; p = 0.005). Being at high risk (RR 1.42; p < 0.001), being single (RR 1.12; p < 0.001), and having lower educational level (RR 1.09; p < 0.001) were associated with poorer risk factor control. Practice factors were not associated with outcomes. Conclusions Strategies to improve guidelines adherence in cardiovascular prevention may be stronger focused on individuals at risk before CVD is diagnosed and require organizational and political support to reinforce general practices.

Practice assistants in primary care in Germany – associations with organizational attributes on job satisfaction

BackgroundJob satisfaction and organizational attributes in primary care teams are important issues as they affect clinical outcomes and the quality of health care provided. As practice assistants are an integral part of these teams it is important to gain insight into their views on job satisfaction and organizational attributes. The aim of this study was to evaluate the job satisfaction of practice assistants and the organizational attributes within their general practices in Germany and to explore the existence of possible associations.MethodsThis observational study was based on a job satisfaction survey and measurement of organizational attributes in general practices in the German federal state of Baden-Wuerttemberg. Job satisfaction was measured with the 10-item ‘Warr-Cook-Wall job satisfaction scale’. Organizational attributes were evaluated with the 21-items ‘survey of organizational attributes for primary care’ (SOAPC). Linear regression analyses were performed in which each of SOAPC scales and the overall score of SOAPC was treated as outcome variables.Results586 practice assistants out of 794 respondents (73.8%) from 234 general practices completed the questionnaire. Practice assistants were mostly satisfied with their colleagues and least of all satisfied with their income and recognition for their work. The regression analysis showed that ‘freedom of working method’ and ‘recognition of work’, the employment status of practice assistants and the mode of practice were almost always significantly associated with each subscale and overall score of SOAPC.ConclusionsJob satisfaction is highly associated with different aspects of organizational attributes for primary care (‘communication’, ‘decision-making’ and ‘stress’). Consequently, improved job satisfaction could lead to a better-organized primary care team. This implication should be investigated directly in further intervention studies with a special focus on improving the recognition for work and income.

Let’s talk about medication: concordance in rating medication adherence among multimorbid patients and their general practitioners

Background Medication adherence can be essential for improving health outcomes. Patients with multiple chronic conditions, often receiving multiple medications, are at higher risk for medication nonadherence. Previous research has focused on concordance between patients and providers about which medication should be taken. However, the question of whether patients and providers are concordant in rating actual medication intake has not been answered as yet. This study aimed to explore the extent and predictors of patient – provider concordance in rating medication adherence in patients with multiple chronic conditions. Methods Overall medication adherence was measured by self-report (Medication Adherence Report Scale, MARS-D) in a sample of 92 patients with multiple chronic conditions. Twelve treating primary care physicians were asked to rate medication adherence in these patients using a mirrored version of the MARS-D. Concordance between external rating and self-reported medication adherence was analyzed descriptively. Predictors of concordance in rating medication adherence were explored in a multilevel analysis. Results Patients rate their medication adherence markedly higher than their general practitioner. Accordingly, the percentage of concordance ranges between 40% (forgot to take medication) and 61% (deliberately omitted a dose). In multilevel analysis, concordance in rating medication adherence was positively associated with being the single primary care provider (β 2.24, P < 0.0001) and frequent questioning about medication use (β 0.66, P = 0.0031). At the patient level, “not [being] married” (β −0.81, P = 0.0064) and “number of prescribed medications” (β −0.10, P = 0.0203) were negative predictors of patient – provider concordance in rating medication adherence. Conclusion Concordance for rating medication adherence between general practitioners and their patients was low. Talking about medication on a regular basis and better continuity of care may enhance patient – provider concordance in rating medication adherence as a prerequisite for shared decisions concerning medication in patients with multiple chronic conditions.