<p>This review systematically synthesised the evidence on quality of life measures and outcomes for people living with multiple long-term conditions in the Southeast Asia region. Results were analysed using a combination of methods, meta-analysis for studies where the same quality of life score was reported across three or more cohorts, and descriptive narrative synthesis. In total, 34 studies comprising 11,876 participants were included in the narrative synthesis and 14 of these were included in meta-analysis. The most common quality of life tools used included WHOQOL-BREF (<i>n</i> = 8) and EQ-5D-5L (<i>n</i> = 3) with pooled mean values of 70.47 (95% CI: 62.71 to 78.24) and 0.76 (95% CI: 0.67 to 0.84) respectively, indicating reduced but good quality of life. As healthcare systems adapt to the evolving challenges associated with multiple long-term conditions, understanding the tools and measures used to assess quality of life in different contexts becomes imperative to account for disease combinations and cultural nuances.</p>

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Quality of life and multiple long-term conditions in Southeast Asia: a systematic review and meta-analysis

  • Deborah Ikhile,
  • Patrick Highton,
  • Clare Gillies,
  • Ruksar Abdala,
  • Ashkon Ardavani,
  • Monika Arora,
  • Amrit Banstola,
  • Aakrushi Brahmbhatt,
  • Shabana Cassambai,
  • Mark P. Funnell,
  • Shifalika Goenka,
  • Shavez Jeffers,
  • Dimple Kondal,
  • Sailesh Mohan,
  • Prakash Mulakalapalli,
  • Natalia Oli,
  • Arron Peace,
  • Kuldeep Singh,
  • Abhinav Vaidya,
  • Nikhil Srinivasapura Venkateshmurthy,
  • Dorairaj Prabhakaran,
  • Kamlesh Khunti

摘要

This review systematically synthesised the evidence on quality of life measures and outcomes for people living with multiple long-term conditions in the Southeast Asia region. Results were analysed using a combination of methods, meta-analysis for studies where the same quality of life score was reported across three or more cohorts, and descriptive narrative synthesis. In total, 34 studies comprising 11,876 participants were included in the narrative synthesis and 14 of these were included in meta-analysis. The most common quality of life tools used included WHOQOL-BREF (n = 8) and EQ-5D-5L (n = 3) with pooled mean values of 70.47 (95% CI: 62.71 to 78.24) and 0.76 (95% CI: 0.67 to 0.84) respectively, indicating reduced but good quality of life. As healthcare systems adapt to the evolving challenges associated with multiple long-term conditions, understanding the tools and measures used to assess quality of life in different contexts becomes imperative to account for disease combinations and cultural nuances.