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国际慢性病患者调查(PaRIS 调查):全科医生不参与对挪威患者数据代表性的影响。

International survey of people living with chronic conditions (PaRIS survey): effects of general practitioner non-participation on the representativeness of the Norwegian patient data.

机构信息

Department of health services research, Division for health services, Norwegian Institute of Public Health, Oslo, 0473, Norway.

Department for quality indicators and user surveys, Health Directorate, Oslo, Norway.

出版信息

BMC Health Serv Res. 2024 Oct 18;24(1):1257. doi: 10.1186/s12913-024-11751-0.

Abstract

BACKGROUND

The International Survey of People living with Chronic Conditions (OECD-PaRIS survey), aims to systematically gather patient-reported experiences (PREMs) and - outcomes (PROMs) and potential predictors for these outcomes for persons with chronic conditions as well as information from professionals about health care provided. In such patient surveys, the advantages of a multilevel (nested) approach in which patients are sampled 'within providers' need to be balanced against the potential for bias if patient populations from participating GPs significantly differ from those of non-participating GPs. The objective was to assess the effects of general practitioner (GP) non-participation on the representativeness of the Norwegian patient data of the International Survey of People living with Chronic Conditions (OECD-PaRIS survey).

METHODS

To test all aspects of the first main PaRIS survey, it was preceded by a field trial which this paper reports on the Norwegian part of. For the Norwegian part of the field trial in 2022, we randomly sampled and surveyed 75 GPs and 125 patients 45 years and older for each GP, regardless of whether their GP were also participating in the study. GPs were sampled from a national register that included all GPs. The surveys were primarily digital, but we sent postal questionnaires to non-digital patients and non-responding digital patients. We compared GP and patient characteristics as well as patient-reported experiences and outcomes according to GP participation status in bivariate analysis, supplemented with multiple linear regressions with PREMs/PROMs as dependent variables and participation status as independent adjusting for significant patient factors.

RESULTS

17 of 75 sampled GPs participated (22.7%), of which 993 of 2,015 patients responded (49.3%). 3,347 of 7,080 patients of non-responding GPs answered (47.3%). Persons with chronic conditions from participating GPs reported significantly better patient-centred coordinated care (p = 0.017), overall experiences with the GP office the last 12 months (p = 0.004), mental well-being (p = 0.039) and mental health (p = 0.013) than patients from non-participating GPs. The raw differences between participating and non-participating GPs on patient-reported experiences and - outcomes varied from 1.5 to 2.9 points on a 0-100 scale, and from 2.2 to 3.0 after adjustment for case-mix.

CONCLUSIONS

The Norwegian field trial indicates that estimates based on participants in the PaRIS survey may modestly overestimate patient-reported experiences and -outcomes at the aggregated level and the need for more research within and across countries to identify and address this potential bias.

摘要

背景

《慢性疾病患者国际调查》(经合组织-帕里斯调查)旨在系统收集慢性病患者的报告体验(PREMs)和结果(PROMs)以及这些结果的潜在预测因素,同时收集专业人员提供的医疗信息。在这种患者调查中,需要权衡在“提供者内”对患者进行多级(嵌套)抽样的优势,以及如果参与的全科医生的患者群体与非参与的全科医生的患者群体有显著差异,可能存在的偏差。本研究的目的是评估全科医生(GP)不参与对挪威《慢性疾病患者国际调查》(经合组织-帕里斯调查)患者数据代表性的影响。

方法

为了测试帕里斯调查的所有方面,在进行之前进行了一项现场试验,本文报告了挪威部分的试验结果。在 2022 年的挪威现场试验中,我们随机抽取了 75 名全科医生和每个全科医生的 125 名 45 岁及以上的患者进行调查,无论他们的全科医生是否参与了该研究。全科医生是从一个包含所有全科医生的全国登记册中抽取的。调查主要是数字化的,但我们向非数字化患者和未回复数字化患者发送了邮寄问卷。我们在单变量分析中比较了全科医生和患者的特征以及患者报告的体验和结果,并补充了以 PREMs/PROMs 为因变量、参与状态为自变量的多元线性回归,同时对显著的患者因素进行调整。

结果

在 75 名抽样全科医生中,有 17 名(22.7%)参与了研究,其中 2015 名患者中有 993 名(49.3%)做出了回应。在没有回复的全科医生中,有 3347 名(47.3%)患者做出了回应。与非参与全科医生的患者相比,参与全科医生的慢性病患者报告的以患者为中心的协调护理明显更好(p=0.017),过去 12 个月对全科医生办公室的整体体验(p=0.004)、心理健康(p=0.039)和精神健康(p=0.013)。参与和非参与全科医生在患者报告的体验和结果上的原始差异在 0-100 分制上为 1.5-2.9 分,在调整病例组合后为 2.2-3.0 分。

结论

挪威现场试验表明,基于帕里斯调查参与者的数据估计可能会在汇总水平上略微高估患者报告的体验和结果,需要在国家内部和国家之间进行更多的研究,以确定和解决这种潜在的偏差。

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Norway: Health System Review.挪威:卫生体系综述。
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