8 research outputs found

    Is guideline-adherent prescribing associated with quality of life in patients with type 2 diabetes?

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    BACKGROUND: Guideline-adherent prescribing for treatment of multiple risk factors in type 2 diabetes (T2D) patients is expected to improve clinical outcomes. However, the relationship to Health-Related Quality of Life (HRQoL) is not straightforward since guideline-adherent prescribing can increase medication burden.OBJECTIVES: To test whether guideline-adherent prescribing and disease-specific medication burden are associated with HRQoL in patients with T2D.METHODS: Cross-sectional study including 1,044 T2D patients from the e-VitaDM/ZODIAC study in 2012 in the Netherlands. Data from the diabetes visit, such as laboratory and physical examinations and prescribed medication, and from two HRQoL questionnaires, the EuroQol 5 Dimensions 3 Levels (EQ5D-3L) and the World Health Organization Well-Being Index (WHO-5) were collected. Twenty indicators assessing prescribing of recommended glucose lowering drugs, statins, antihypertensives and renin-angiotensin-aldosterone system (RAAS)-inhibitors and potentially inappropriate drugs from a validated diabetes indicator set were included. Disease-specific medication burden was assessed using a modified version of the Medication Regimen Complexity Index (MRCI). Associations were tested with regression models, adjusting for age, gender, diabetes duration, comorbidity, body mass index and smoking.RESULTS: The mean MRCI was 7.1, the median EQ5D-3L-score was 0.86 and the mean WHO-5 score was 72. Seven indicators included too few patients and were excluded from the analysis. The remaining thirteen indicators focusing on recommended start, intensification, current and preferred use of glucose lowering drugs, statins, antihypertensives, RAAS inhibitors, and on inappropriate prescribing of glibenclamide and dual RAAS blockade were not significantly associated with HRQoL. Finally, also the MRCI was not associated with HRQoL.CONCLUSIONS: We found no evidence for associations between guideline-adherent prescribing or disease-specific medication burden and HRQoL in T2D patients. This gives no rise to refrain from prescribing intensive treatment in T2D patients as recommended, but the interpretation of these results is limited by the cross-sectional study design and the selection of patients included in some indicators.</p

    Reducing antibiotic prescriptions for respiratory tract infections in family practice: results of a cluster randomized controlled trial evaluating a multifaceted peer-group-based intervention

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    Irrational antibiotic use for respiratory tract infections (RTI) is a major driver of bacterial resistance. The aim of this study was to evaluate the effect of a multifaceted peer-group based intervention aiming to reduce RTI-related antibiotic prescriptions in family practice. This was a cluster randomized controlled trial with pre- and follow-up measurement. The intervention was implemented through PharmacoTherapy Audit Meetings (PTAM) in which family physicians (FPs) and pharmacists collaborate. Four PTAM groups received the intervention consisting of: (1) FP communication skills training, including communication about delayed prescribing; (2) implementation of antibiotic prescribing agreements in FPs’ Electronic Prescribing Systems; (3) quarterly feedback figures for FPs. Four other PTAM groups were matched controls. Primary outcome measure was the number of RTI-related antibiotic prescriptions after the intervention, assessed with multilevel linear regression analyses. Total number and number of prescriptions stratified by age (under/over 12 years) were analysed. At baseline, the average total number of RTI-related antibiotic prescriptions per 1,000 patients was 207.9 and 176.7 in the intervention and control PTAM groups, respectively. At follow-up, FPs in both the intervention and control groups prescribed significantly less antibiotics. For adolescents and adults, the drop in number of antibiotic prescription was significantly larger in the intervention groups (−27.8 per 1,000 patients) than the control groups (−7.2 per 1,000 patients; P<0.05). This multifaceted peer-group-based intervention was effective in reducing the number of RTI-related antibiotic prescriptions for adolescents and adults. To affect antibiotic prescribing in children other methods are needed

    Consultation performance of general practitioners when supported by an asthma/COPDC-service

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    <p>Abstract</p> <p>Background</p> <p>General practitioners (GPs) can refer patients to an asthma/COPD service (AC-service) for diagnostic assessment of spirometry and medical history and for asthma or COPD monitoring. The AC-service reports diagnostic results and additional information about disease burden (BORG-score for complaints, MRC-dyspnoea score, exacerbation rate), life style, medication and compliance, to the patient’s GP. This study explores how GPs use this additional information when discussing the patient’s disease burden and how this influences GPs’ information and education provision during consultations with asthma/COPD patients.</p> <p>Method</p> <p>Patients with (a suspicion of) asthma or COPD were referred to an AC-service and consulted their GPs after they had received a report from the AC-service. Retrospectively patients answered questions about their GPs’ performance during these consultations. Performances were compared with performances of the same GPs during consultations without support of the AC-service (usual care), earlier that year.</p> <p>Results</p> <p>Of consultations not initiated by an AC-service check-up, 91% focussed on complaints, the initial reason for the consultation. In AC-service supported follow-up consultations, GPs explored disease burden when the (BORG-)score for complaints was high - as reported by the AC-service - even when patients themselves thought it was irrelevant. GPs put significantly less effort in exploring disease burden when the Borg-score was low (BORG 3–4: 69%; BORG1-2: 51%, <it>p = 0,01</it>). GPs mostly ignored MRC-dyspnoea scores: attention to dyspnoea was 18% for MRC-score <3 and 25% for MRC-score ≥3 (<it>p = 0,63).</it> GPs encouraged physical fitness in 13% of patients. Smoking behaviour was discussed with 66% of the actual smokers but only 14% remembered a stop smoking advice. Furthermore, pharmacotherapeutic management education in AC-service supported consultations did not differ from performance in usual care according to patient evaluations.</p> <p>Conclusion</p> <p>Other than taking into account the severity of complaints, there was no difference between GPs’ performance in AC-service supported and in usual care consultations. AC-service reports are thus not effective by themselves. GPs should be encouraged to use the information better and systematically check all relevant aspects that characterize the disease burden of their patients.</p

    Development and validation of prescribing quality indicators for patients with type 2 diabetes

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    Aim: Quality indicators are used to measure whether healthcare professionals act according to guidelines, but few indicators focus on the quality of pharmacotherapy for diabetes. The aim of this study was to develop and validate a set of prescribing quality indicators (PQIs) for type 2 diabetes in primary care, and to apply this set in practice. To take into account the stepwise treatment of chronic disease, clinical action indicators were specifically considered. Methods: Potential PQIs were derived from clinical practice guidelines and evaluated using the RAND/UCLA Appropriateness Method, a modified Delphi panel. Thereafter, the feasibility of calculating the PQIs was tested in two large Dutch primary care databases including >80 000 diabetes patients in 2012. Results: 32 PQIs focusing on treatment with glucose, lipid, blood pressure and albuminuria lowering drugs, and on vaccination, medication safety and adherence were assessed by ten experts. After the Delphi panel, the final list of twenty PQIs was tested for feasibility. All PQIs definitions were feasible for measuring the quality of medication treatment using these databases. Indicator scores ranged from 18.8% to 90.8% for PQIs focusing on current medication use, clinical action and medication choice, and from 2.1% to 37.2% for PQIs focusing on medication safety. Discussion and conclusions: Twenty PQIs focusing on treatment with glucose, lipid, blood pressure and albuminuria lowering drugs, and on medication safety in type 2 diabetes were developed, considered valid and operationally feasible. Results showed room for improvement, especially in initiation and intensification of treatment as measured with clinical action indicators

    Dutch diabetes prevalence estimates (DUDE-1)

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    Background: Recent decades have seen a constant upward projection in the prevalence of diabetes. Attempts to estimate diabetes prevalence rates based on relatively small population samples quite often result in underestimation. The aim of the present study was to investigate whether the Dutch diabetes prevalence estimate of 930 000 for 2013, based on a relatively small sample, still holds true when a larger population is studied using actual prevalence data. Methods: Data were collected from 92 primary care groups, including the total number of people with and without diabetes in 2013. Patients with diabetes were identified using the International Classification of Primary Care codes T90.02 (diabetes mellitus type 2; T2DM), T90.01 (diabetes mellitus type 1) and T90 (diabetes mellitus). Prevalence data were compared with previous estimates made in 2009. Diabetes prevalence was estimated using linear extrapolation. Results: Complete data were available from 67 (73%) care groups, which together provided care for 7 922 403 subjects; 431 396 patients were coded as having diabetes, of whom 406 183 were coded as having T2DM. Based on these results, the extrapolated Dutch diabetes prevalence was 914 387 (5.45%). Conclusions: The results show that the previous estimate (reported in 2009), which was based on data collected in 2007, resulted in

    Effect of an integrated primary care model on the management of middle-aged and old patients with obstructive lung diseases

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    Contains fulltext : 51881.pdf (publisher's version ) (Open Access)OBJECTIVE: To investigate the effect of a primary care model for COPD on process of care and patient outcome. DESIGN: Controlled study with delayed intervention in control group. SETTING: The GP delegates tasks to a COPD support service (CSS) and a practice nurse. The CSS offers logistic support to the practice through a patient register and recall system for annual history-taking and lung function measurement. It also forms the link with the chest physician for diagnostic and therapeutic advice. The practice nurse's most important tasks are education and counselling. SUBJECTS: A total of 44 practices (n =22 for intervention and n =22 for control group) and 260 of their patients > or = 40 years with obstructive lung diseases. RESULTS: Within the intervention group planned visits increased from 16% to 44% and from 19% to 25% in the control condition (difference between groups p =0.014). Annual lung function measurement rose from 17% to 67% in the intervention and from 11% to 18% in the control group (difference between groups p =0.001). Compared with control, more but not statistically significant smokers received periodic advice to quit smoking (p =0.16). At baseline 41% of the intervention group were using their inhalers correctly and this increased to 54% after two years; it decreased in the control group from 47 to 29% (difference between groups p =0.002). The percentage of patients without exacerbation did not change significantly compared with the control condition. The percentage of the intervention group not needing emergency medication rose from 79% to 84% but decreased in the controls from 81 to 76% (difference between groups p =0.08). CONCLUSION: Combining different disciplines in one model has a positive effect on compliance with recommendations for monitoring patients, and improves the care process and some patient outcomes
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