Antje Erler

Is Europe putting theory into practice? A qualitative study of the level of self-management support in chronic care management approaches

BackgroundSelf-management support is a key component of effective chronic care management, yet in practice appears to be the least implemented and most challenging. This study explores whether and how self-management support is integrated into chronic care approaches in 13 European countries. In addition, it investigates the level of and barriers to implementation of support strategies in health care practice.MethodsWe conducted a review among the 13 participating countries, based on a common data template informed by the Chronic Care Model. Key informants presented a sample of representative chronic care approaches and related self-management support strategies. The cross-country review was complemented by a Dutch case study of health professionals’ views on the implementation of self-management support in practice.ResultsSelf-management support for chronically ill patients remains relatively underdeveloped in Europe. Similarities between countries exist mostly in involved providers (nurses) and settings (primary care). Differences prevail in mode and format of support, and materials used. Support activities focus primarily on patients’ medical and behavioral management, and less on emotional management. According to Dutch providers, self-management support is not (yet) an integral part of daily practice; implementation is hampered by barriers related to, among others, funding, IT and medical culture.ConclusionsAlthough collaborative care for chronic conditions is becoming more important in European health systems, adequate self-management support for patients with chronic disease is far from accomplished in most countries. There is a need for better understanding of how we can encourage both patients and health care providers to engage in productive interactions in daily chronic care practice, which can improve health and social outcomes.

How to improve drug dosing for patients with renal impairment in primary care - a cluster-randomized controlled trial

BackgroundPatients with chronic kidney disease (CKD) are at increased risk for inappropriate or potentially harmful prescribing. The aim of this study was to examine whether a multifaceted intervention including the use of a software programme for the estimation of creatinine clearance and recommendation of individual dosage requirements may improve correct dosage adjustment of relevant medications for patients with CKD in primary care.MethodsA cluster-randomized controlled trial was conducted between January and December 2007 in small primary care practices in Germany. Practices were randomly allocated to intervention or control groups. In each practice, we included patients with known CKD and elderly patients (≥70 years) suffering from hypertension. The practices in the intervention group received interactive training and were provided a software programme to assist with individual dose adjustment. The control group performed usual care. Data were collected at baseline and at 6 months. The outcome measures, analyzed across individual patients, included prescriptions exceeding recommended maximum daily doses, with the primary outcome being prescriptions exceeding recommended standard daily doses by more than 30%.ResultsData from 44 general practitioners and 404 patients are included. The intervention was effective in reducing prescriptions exceeding the maximum daily dose per patients, with a trend in reducing prescriptions exceeding the standard daily dose by more than 30%.ConclusionsA multifaceted intervention including the use of a software program effectively reduced inappropriately high doses of renally excreted medications in patients with CKD in the setting of small primary care practices.Trial registrationCurrent Controlled Trials ISRCTN02900734

Reported barriers to evaluation in chronic care: Experiences in six European countries.

INTRODUCTION The growing movement of innovative approaches to chronic disease management in Europe has not been matched by a corresponding effort to evaluate them. This paper discusses challenges to evaluation of chronic disease management as reported by experts in six European countries. METHODS We conducted 42 semi-structured interviews with key informants from Austria, Denmark, France, Germany, The Netherlands and Spain involved in decision-making and implementation of chronic disease management approaches. Interviews were complemented by a survey on approaches to chronic disease management in each country. Finally two project teams (France and the Netherlands) conducted in-depth case studies on various aspects of chronic care evaluation. RESULTS We identified three common challenges to evaluation of chronic disease management approaches: (1) a lack of evaluation culture and related shortage of capacity; (2) reluctance of payers or providers to engage in evaluation and (3) practical challenges around data and the heterogeity of IT infrastructure. The ability to evaluate chronic disease management interventions is influenced by contextual and cultural factors. CONCLUSIONS This study contributes to our understanding of some of the most common underlying barriers to chronic care evaluation by highlighting the views and experiences of stakeholders and experts in six European countries. Overcoming the cultural, political and structural barriers to evaluation should be driven by payers and providers, for example by building in incentives such as feedback on performance, aligning financial incentives with programme objectives, collectively participating in designing an appropriate framework for evaluation, and making data use and accessibility consistent with data protection policies.

Predictors of dropout in the German disease management program for type 2 diabetes

BackgroundTo improve and assess the effectiveness of disease management programs (DMPs), it is critical to understand how many people drop out of disease management programs and why.MethodsWe used routine data provided by a statutory health insurance fund from the regions North Rhine, North Wurttemberg and Hesse. As part of the German DMP for type 2 diabetes, the insurance fund received regular documentation of all members participating in the program. We followed 10,989 patients who enrolled in the DMP between July 2004 and December 2005 until the end of 2007 to study how many patients dropped out of the program. Dropout was defined based on the discontinuation of program documentation on a particular patient, excluding situations in which the patient died or left the insurance fund. Predictors of dropout, assessed at the time of program enrolment, were explored using logistic regression analysis.Results5.5% of the patients dropped out of the disease management program within the observation period. Predictors of dropout at the time of enrolment were: region; retirement status; the number of secondary diseases; presence of a disabling secondary disease; doctors recommendations to stop smoking or to seek nutritional counselling; and the completion and outcome of the routine foot and eye exams. Different trends of dropout were observed among retired and employed patients: retired patients of old age, who possibly drop out of the program due to other health care priorities and employed people of younger age who have not yet developed many secondary diseases, but were recommended to change their lifestyle.ConclusionsOverall, dropout rates for the German disease management programs for type 2 diabetes were low compared to other studies. Factors assessed at the time of program enrolment were predictive of later dropout and should be further studied to provide information for future program improvements.

Survey of 5 European countries suggests that more elements of patient-centered medical homes could improve primary care

The patient-centered medical home is a US model for comprehensive care. This model features a personal physician or registered nurse who is augmented by a proactive team and information technology. Such a model could prove useful for advanced European systems as they strive to improve primary care, particularly for chronically ill patients. We surveyed 6,428 chronically ill patients and 152 primary care providers in five European countries to assess aspects of the patient-centered medical home. Although most patients reported that they had a personal physician and no problems in contacting the practice after hours, for example, other aspects of the patient-centered medical home, such as provision of written self-management support to patients, were not as widespread. We conclude that despite strong organizational structures, European primary care systems need additional efforts to recognize chronically ill patients as partners in care and can embrace patient-centered medical homes to improve care for European patients.

Pilot study to test the feasibility of a trial design and complex intervention on PRIoritising MUltimedication in Multimorbidity in general practices (PRIMUMpilot)

Objective To improve medication appropriateness and adherence in elderly patients with multimorbidity, we developed a complex intervention involving general practitioners (GPs) and their healthcare assistants (HCA). In accordance with the Medical Research Council guidance on developing and evaluating complex interventions, we prepared for the main study by testing the feasibility of the intervention and study design in a cluster randomised pilot study. Setting 20 general practices in Hesse, Germany. Participants 100 cognitively intact patients ≥65 years with ≥3 chronic conditions, ≥5 chronic prescriptions and capable of participating in telephone interviews; 94 patients completed the study. Intervention The HCA conducted a checklist-based interview with patients on medication-related problems and reconciled their medications. Assisted by a computerised decision-support system (CDSS), the GPs discussed medication intake with patients and adjusted their medication regimens. The control group continued with usual care. Outcome measures Feasibility of the intervention and required time were assessed for GPs, HCAs and patients using mixed methods (questionnaires, interviews and case vignettes after completion of the study). The feasibility of the study was assessed concerning success of achieving recruitment targets, balancing cluster sizes and minimising drop-out rates. Exploratory outcomes included the medication appropriateness index (MAI), quality of life, functional status and adherence-related measures. MAI was evaluated blinded to group assignment, and intra-rater/inter-rater reliability was assessed for a subsample of prescriptions. Results 10 practices were randomised and analysed per group. GPs/HCAs were satisfied with the interventions despite the time required (35/45 min/patient). In case vignettes, GPs/HCAs needed help using the CDSS. The study made no patients feel uneasy. Intra-rater/inter-rater reliability for MAI was excellent. Inclusion criteria were challenging and potentially inadequate, and should therefore be adjusted. Outcome measures on pain, functionality and self-reported adherence were unfeasible due to frequent missing values, an incorrect manual or potentially invalid results. Conclusions Intervention and trial design were feasible. The pilot study revealed important limitations that influenced the design and conduct of the main study, thus highlighting the value of piloting complex interventions. Trial registration number ISRCTN99691973; Results.

Evaluating chronic disease management in real-world settings in six European countries: Lessons from the collaborative DISMEVAL project

Objective To describe the interventions, research methods and main findings of the international DISMEVAL project, in which the “real-world” impact of exemplary European disease management approaches was investigated in six countries using advanced analytic techniques. Design Across countries, the project captured a wide range of disease management strategies and settings; approaches to evaluation varied per country, but included, among others, difference-in-differences analysis and regression discontinuity analysis. Setting Austria, Denmark, France, Germany, The Netherlands, and Spain. Participants Health care providers and/or statutory insurance funds providing routine data from their disease management interventions, mostly retrospectively. Intervention(s) This study did not carry out an intervention but evaluated the impact of existing disease management interventions implemented in European care settings. Main outcome measure(s) Outcome measures were largely dependent on available routine data, but could concern health care structures, processes, and outcomes. Results Data covering 10 to 36 months were gathered concerning more than 154,000 patients with three conditions. The analyses demonstrated considerable positive effects of disease management on process quality (Austria, Germany), but no more than moderate improvements in intermediate health outcomes (Austria, France, Netherlands, Spain) or disease progression (Denmark) in intervention patients, where possible compared with a matched control group. Conclusions Assessing the “real-world” impact of chronic disease management remains a challenge. In settings where randomization is not possible and/or desirable, routine health care performance data can provide a valuable resource for practice-based evaluations using advanced analytic techniques.

Evaluation der Hausarztzentrierten Versorgung in Baden-Württemberg

Einleitung Der Vertrag zur Hausarztzentrierten Versorgung (HzV) in Baden-Württemberg von 2008 ist der erste (und in der Fläche bisher einzige) Vollversorgungsvertrag nach § 73b SGB V in Deutschland. Inzwischen liegen Evaluationsergebnisse aus der Etablierungsphase 2008-2011 vor. Evaluiert wurden die Inanspruchnahme und mögliche Steigerungen der Versorgungsqualität bei Patienten mit Herzinsuffizienz – beides im Kontrollgruppenvergleich – sowie die Hausarzt-, Mitarbeiterinnen- und Patientenzufriedenheit und der in diesem Vertrag erstmals vergütete Einsatz von Versorgungsassistentinnen in der Hausarztpraxis (VERAH).

Study protocol : evaluation of specialized outpatient palliative care (SOPC) in the German state of Hesse (ELSAH study) - work package II ; palliative care for pediatric patients

BackgroundIn 2007, the European Association of Palliative Care (EAPC) provided a comprehensive set of recommendations and standards for the provision of adequate pediatric palliative care. A number of studies have shown deficits in pediatric palliative care compared to EAPC standards. In Germany, pediatric palliative care patients can be referred to specialized outpatient palliative care (SOPC) services, which are known to enhance quality of life, e.g. by avoiding hospitalization. However, current regulations for the provision of SOPC in Germany do not account for the different circumstances and needs of children and their families compared to adult palliative care patients. The “Evaluation of specialized outpatient palliative care (SOPC) in the German state of Hesse (ELSAH)” study aims to perform a needs assessment for pediatric patients (children, adolescents and young adults) receiving SOPC. This paper presents the study protocol for this assessment (work package II).Methods/DesignThe study uses a sequential mixed-methods study design with a focus on qualitative research. Data collection from professional and family caregivers and, as far as possible, pediatric patients, will involve both a written questionnaire based on European recommendations for pediatric palliative care, and semi-structured interviews. Additionally, professional caregivers will take part in focus group discussions and participatory observations. Interviews and focus groups will be tape- or video-recorded, transcribed verbatim and analyzed in accordance with the principles of grounded theory (interviews) and content analysis (focus groups). A structured field note template will be used to record notes taken during the participatory observations. Statistical Package for Social Sciences (SPSS, version 22 or higher) will be used for descriptive statistical analyses. The qualitative data analyses will be software-assisted by MAXQDA (version 12 or higher).DiscussionThis study will provide important information on what matters most to family caregivers and pediatric patients receiving SOPC. The results will add valuable knowledge to the criteria that distinguish SOPC for pediatric from SOPC for adult patients, and will provide an indication of how the German SOPC rule of procedure can be optimized to satisfy the special needs of pediatric patients.Trial registrationInternet Portal of the German Clinical Trials Register (www.germanctr.de, DRKS-ID: DRKS00012431).

The Comparison of Matching Methods Using Different Measures of Balance: Benefits and Risks Exemplified within a Study to Evaluate the Effects of German Disease Management Programs on Long-Term Outcomes of Patients with Type 2 Diabetes.

OBJECTIVE To present a case study on how to compare various matching methods applying different measures of balance and to point out some pitfalls involved in relying on such measures. DATA SOURCES Administrative claims data from a German statutory health insurance fund covering the years 2004-2008. STUDY DESIGN We applied three different covariance balance diagnostics to a choice of 12 different matching methods used to evaluate the effectiveness of the German disease management program for type 2 diabetes (DMPDM2). We further compared the effect estimates resulting from applying these different matching techniques in the evaluation of the DMPDM2. PRINCIPAL FINDINGS The choice of balance measure leads to different results on the performance of the applied matching methods. Exact matching methods performed well across all measures of balance, but resulted in the exclusion of many observations, leading to a change of the baseline characteristics of the study sample and also the effect estimate of the DMPDM2. All PS-based methods showed similar effect estimates. Applying a higher matching ratio and using a larger variable set generally resulted in better balance. Using a generalized boosted instead of a logistic regression model showed slightly better performance for balance diagnostics taking into account imbalances at higher moments. CONCLUSION Best practice should include the application of several matching methods and thorough balance diagnostics. Applying matching techniques can provide a useful preprocessing step to reveal areas of the data that lack common support. The use of different balance diagnostics can be helpful for the interpretation of different effect estimates found with different matching methods.