Wensing Michel, Kolle Petra Kaufmann, Szecsenyi Joachim, Stock Christian, Laux Gunter
a Department of General Practice and Health Services Research , Heidelberg University Hospital , Heidelberg , Germany.
b AQUA Institute for Applied Quality Improvement and Research in Health Care , Goettingen , Germany.
Scand J Prim Health Care. 2018 Jun;36(2):109-114. doi: 10.1080/02813432.2018.1459429. Epub 2018 Apr 6.
To determine the effect of a large-scale program to strengthen general practice on hospitalisation rates.
This observational study compared enrolled patients in the program and a sample of non-participating patients from non-participating GPs in the same geographic area in Germany. Key components of the program are: prompt access to care, comprehensiveness, continuity, empanelment, data-driven quality improvement, computerized decision support, and additional reimbursement of general practices. The outcomes in this study were hospitalisation, rehospitalisation, and avoidable hospital admission up to four years after patient inclusion. Poisson regression models and generalized estimating equations were used to estimate intervention effects.
In the baseline year, 19.1% were hospitalised and 13.6% had a potentially avoidable hospitalisation, 14.5% were rehospitalised within 4 weeks. Across the four observed years, yearly hospitalisations were 9.8 to 14.9% lower in enrolled patients, yearly re-hospitalisations were 5.3 to 11.5% lower, and yearly avoidable hospitalisations were 6.8 to 8.6% lower compared to the control cohort (all differences were statistically significant). The trend in the between-group difference for hospitalisations and re-hospitalisations increased, while it remained stable for avoidable hospitalisations.
This study provides strong indications for the positive impact of strong general practice care on population outcomes. Key points A program to strengthen general practice in Germany comprised of prompt access to care, comprehensiveness, continuity, empanelment, data-driven quality improvement, computerized decision support, and additional reimbursement of general practices. Patients who remained in the program during 4 years had increasingly lowered rates of hospitalisation and rehospitalisation compared to a control group of patients. Avoidable hospitalisations were also lower, but no trend of further lowering was found. This might suggest a ceiling effect to impact of strong general practice on hospitalisations.
确定一项加强全科医疗的大规模项目对住院率的影响。
这项观察性研究比较了该项目中的登记患者以及来自德国同一地理区域未参与项目的全科医生的未参与患者样本。该项目的关键组成部分包括:及时获得医疗服务、全面性、连续性、患者注册、数据驱动的质量改进、计算机化决策支持以及全科医疗的额外报销。本研究的结局指标为患者纳入后长达四年的住院、再次住院以及可避免的住院情况。采用泊松回归模型和广义估计方程来估计干预效果。
在基线年份,19.1%的患者住院,13.6%的患者有潜在可避免的住院情况,14.5%的患者在4周内再次住院。在观察的四年中,与对照组相比,登记患者的年度住院率降低了9.8%至14.9%,年度再次住院率降低了5.3%至11.5%,年度可避免住院率降低了6.8%至8.6%(所有差异均具有统计学意义)。住院和再次住院的组间差异趋势增加,而可避免住院情况的差异趋势保持稳定。
本研究有力表明了强大的全科医疗服务对人群结局具有积极影响。要点 德国一项加强全科医疗的项目包括及时获得医疗服务、全面性、连续性、患者注册、数据驱动的质量改进、计算机化决策支持以及全科医疗的额外报销。与对照组患者相比,在该项目中持续四年的患者的住院率和再次住院率逐渐降低。可避免的住院情况也较低,但未发现进一步降低的趋势。这可能表明强大的全科医疗对住院情况的影响存在天花板效应。