Publications by authors named "A Ohinmaa"
Background And Aims: Patient-reported outcome measures (PROMs) are increasingly used in primary care practices; however, the broad characteristics of this population pose unique challenges. Generic PROMs (e.g.
View Article and Find Full Text PDFObjectives: We aimed to provide a comprehensive summary, synthesis, and appraisal of minimally important difference (MID) estimates for EQ-5D instruments.
Methods: We conducted a systematic search using relevant terms related to "minimally/clinically, meaningful/ important difference/change" and "EQ-5D" in 6 major databases, including MEDLINE, Embase, PsycINFO, CINAHL, Scopus, and Cochrane Library (up to January 2023). We included studies that provided at least 1 original MID estimate for the EQ-5D.
Article Synopsis
- The study investigates the effectiveness of primary healthcare services in Norway and Canada, focusing on the perspectives of various healthcare professionals regarding patient pathways.
- Through qualitative interviews with 19 physicians, nurses, and managers, the research identifies structural challenges, the trend towards more specialized primary care, and the potential for dedicated staff to enhance service continuity.
- Findings suggest that effective coordination is hindered by differences in healthcare levels, funding, management, and technology, indicating a need for integrated strategies to improve continuity in healthcare services.
Purpose: To present EQ-5D-5L population norms for the general adult population in Alberta, Canada.
Methods: We analyzed data from 11 population-based surveys conducted in Alberta between 2012 and 2021. By applying appropriate sampling weights, we estimated normative data for the EQ-5D-5L dimensions, index scores, and visual analogue scale (VAS) scores.
Article Synopsis
- The study aimed to identify clinical and socioeconomic factors influencing hospital and emergency department (ED) use among children with medical complexity in Alberta over a 1 to 5-year period after discharge.
- The research utilized linked health and census data, applying advanced statistical models to analyze predictors of both hospital stays and ED visits, focusing on the number and likelihood of resource use.
- Findings revealed that clinical factors, such as initial length of stay, were stronger predictors for hospital use, while socioeconomic factors, especially rural residence, significantly influenced ED visits, highlighting the impact of living conditions on healthcare utilization.