Chinese General Practice ›› 2023, Vol. 26 ›› Issue (13): 1605-1612.DOI: 10.12114/j.issn.1007-9572.2022.0781
Special Issue: 社区卫生服务最新研究合集; 老年人群健康最新文章合集; 安全用药最新文章合集; 老年人合理用药专题研究; 老年问题最新文章合集
• Original Research·Focus on Multimorbidity • Previous Articles Next Articles
Received:
2022-10-28
Revised:
2023-02-18
Published:
2023-05-05
Online:
2023-02-23
Contact:
KONG Lingna
通讯作者:
孔令娜
作者简介:
基金资助:
步骤 | 策略 |
---|---|
#1 | ("inappropriate prescribing"[MeSH Terms]OR "medication error*"[MeSH Terms])OR("inappropriate prescribing"[Title/Abstract]OR "inappropriate prescription*"[Title/Abstract]OR "inappropriate medication*"[Title/Abstract]OR "inappropriate medicine*"[Title/Abstract]OR "inappropriate drug*"[Title/Abstract]OR "irrational prescribing*"[Title/Abstract]OR "irrational prescription*"[Title/Abstract]OR "high risk prescription*"[Title/Abstract]OR "high risk medication*"[Title/Abstract]OR "unsafe prescribing"[Title/Abstract]OR "unsafe medication*"[Title/Abstract]OR "harmful medication*"[Title/Abstract]OR "harmful drug*"[Title/Abstract]OR "suboptimal prescribing"[Title/Abstract]OR "suboptimal medication*"[Title/Abstract]OR "overprescribing"[Title/Abstract]OR "over-prescribing"[Title/Abstract]OR "over-prescription"[Title/Abstract]OR "prescription drug misuse"[Title/Abstract]OR "deprescrib*"[Title/Abstract]OR "prescribing patterns"[Title/Abstract]) |
#2 | ("primary health care"[MeSH Terms]OR "general practice"[MeSH Terms]OR "general practitioners"[MeSH Terms] OR "family practice"[MeSH Terms]OR "community health centers"[MeSH Terms]OR "community health services"[MeSH Terms]OR "physicians,family"[MeSH Terms] OR "hospitals,community"[MeSH Terms])OR("family physicians"[Title/Abstract]OR "family practice*"[Title/Abstract]OR "general practice*"[Title/Abstract]OR "general practitioner*"[Title/Abstract]OR "primary care"[Title/Abstract]OR "primary health care"[Title/Abstract]OR "primary medical care"[Title/Abstract]OR "community*"[Title/Abstract]OR "home*"[Title/Abstract]OR "general population"[Title/Abstract]OR "health station"[Title/Abstract]) |
#3 | ("aged"[MeSH Terms])OR("elder*"[Title/Abstract] OR "older*"[Title/Abstract]OR "senior*"[Title/Abstract] OR "aging"[Title/Abstract]OR "ageing"[Title/Abstract]OR "aged"[Title/Abstract]OR "geriatric"[Title/Abstract]) |
#4 | "China"[All Fields]OR"Chinese"[All Fields]OR"China"[MeSH Terms] |
#5 | #1 AND #2 AND #3 AND #4 |
Table 1 Strategy for searching in PubMed
步骤 | 策略 |
---|---|
#1 | ("inappropriate prescribing"[MeSH Terms]OR "medication error*"[MeSH Terms])OR("inappropriate prescribing"[Title/Abstract]OR "inappropriate prescription*"[Title/Abstract]OR "inappropriate medication*"[Title/Abstract]OR "inappropriate medicine*"[Title/Abstract]OR "inappropriate drug*"[Title/Abstract]OR "irrational prescribing*"[Title/Abstract]OR "irrational prescription*"[Title/Abstract]OR "high risk prescription*"[Title/Abstract]OR "high risk medication*"[Title/Abstract]OR "unsafe prescribing"[Title/Abstract]OR "unsafe medication*"[Title/Abstract]OR "harmful medication*"[Title/Abstract]OR "harmful drug*"[Title/Abstract]OR "suboptimal prescribing"[Title/Abstract]OR "suboptimal medication*"[Title/Abstract]OR "overprescribing"[Title/Abstract]OR "over-prescribing"[Title/Abstract]OR "over-prescription"[Title/Abstract]OR "prescription drug misuse"[Title/Abstract]OR "deprescrib*"[Title/Abstract]OR "prescribing patterns"[Title/Abstract]) |
#2 | ("primary health care"[MeSH Terms]OR "general practice"[MeSH Terms]OR "general practitioners"[MeSH Terms] OR "family practice"[MeSH Terms]OR "community health centers"[MeSH Terms]OR "community health services"[MeSH Terms]OR "physicians,family"[MeSH Terms] OR "hospitals,community"[MeSH Terms])OR("family physicians"[Title/Abstract]OR "family practice*"[Title/Abstract]OR "general practice*"[Title/Abstract]OR "general practitioner*"[Title/Abstract]OR "primary care"[Title/Abstract]OR "primary health care"[Title/Abstract]OR "primary medical care"[Title/Abstract]OR "community*"[Title/Abstract]OR "home*"[Title/Abstract]OR "general population"[Title/Abstract]OR "health station"[Title/Abstract]) |
#3 | ("aged"[MeSH Terms])OR("elder*"[Title/Abstract] OR "older*"[Title/Abstract]OR "senior*"[Title/Abstract] OR "aging"[Title/Abstract]OR "ageing"[Title/Abstract]OR "aged"[Title/Abstract]OR "geriatric"[Title/Abstract]) |
#4 | "China"[All Fields]OR"Chinese"[All Fields]OR"China"[MeSH Terms] |
#5 | #1 AND #2 AND #3 AND #4 |
作者 | 发表年份(年) | 研究类型 | 地区 | 样本量 | 年龄(岁) | 样本中男性占比(%) | PIM评估工具 | PIM发生率(%) | PIM相关因素 |
---|---|---|---|---|---|---|---|---|---|
赵欢等[ | 2012 | 横断面研究 | 河北省 | 416 | ≥60 | 50.2 | Beers标准(2003版) | 14.7 | — |
李旭琴等[ | 2015 | 横断面研究 | 上海市 | 398 | 60~75 | 44.2 | Beers标准(2012版) | 37.7 | — |
杨楠等[ | 2016 | 横断面研究 | 上海市 | 6 002 | 60~97 | 40.1 | Beers标准(2012版) | 16.0 | ⑦ |
杨晓欧等[ | 2017 | 横断面研究 | 北京市 | 216 | 65~89 | 41.2 | Beers标准(2015版) STOPP标准(2014版) | 26.4 33.8 | — |
陈张勇等[ | 2018 | 横断面研究 | 北京市 | 795 | 65~103 | 49.2 | Beers标准(2015版) STOPP标准(2014版) 中国PIM标准(2015版) | 25.4 18.5 28.9 | — |
栗芳等[ | 2018 | 横断面研究 | 北京市 | 332 | 65~80 | 56.6 | Beers标准(2015版) | 17.5 | — |
唐志华[ | 2018 | 横断面研究 | 浙江省 | 300 | ≥60 | 32.7 | Beers标准(2015版) | 36.3 | — |
刘葳等[ | 2020 | 横断面研究 | 上海市 | 360 | 65~96 | 50.3 | Beers标准(2015版) STOPP标准(2014版) | 15.8 22.2 | ①、②、③、④、⑤、⑥、⑦ |
刘晓瑞等[ | 2020 | 横断面研究 | 北京市 | 215 | 60~90 | 31.2 | Beers标准(2019版) 中国PIM标准(2017版) | 30.7 24.7 | — |
黄琦岚[ | 2020 | 横断面研究 | 山西省 | 476 | ≥60 | 43.5 | Beers标准(2015版) | 67.2 | ①、②、③、④、⑤、⑥、⑦ |
李雪冰等[ | 2020 | 横断面研究 | 北京市 | 264 | 62~95 | 58.3 | Beers标准(2019版) 中国PIM标准(2017版) | 39.0 28.4 | ①、②、④、⑤、⑥ |
章陈怡等[ | 2020 | 横断面研究 | 上海市 | 968 | ≥65 | 51.3 | Beers标准(2015版) | 32.7 | ①、②、⑥、⑦ |
单青等[ | 2021 | 横断面研究 | 北京市 | 562 | 65~97 | 33.3 | 中国PIM标准(2017版) | 69.6 | ①、②、③、④、⑦ |
顾乐乐等[ | 2021 | 横断面研究 | 上海市 | 300 | 61~88 | 52.3 | 中国PIM标准(2017版) | 19.3 | ①、②、⑥、⑦ |
杜琳娜[ | 2021 | 横断面研究 | 陕西省 | 319 | ≥60 | 40.4 | 中国PIM标准(2017版) | 58.0 | ①、②、③、④、⑤ |
周茜等[ | 2021 | 横断面研究 | 青海省 | 530 | ≥65 | 53.8 | STOPP标准(2014版) | 32.6 | ①、②、④、⑤、⑥、⑦ |
栗芳等[ | 2022 | 横断面研究 | 北京市 | 943 | 60~79 | 48.5 | 中国PIM标准(2017版) | 31.3 | — |
耿佳音等[ | 2022 | 横断面研究 | 北京市 | 815 | ≥60 | 37.4 | Beers标准(2019版) 中国PIM标准(2017版) | 32.6 22.3 | ①、②、⑥、⑦ |
田艳等[ | 2022 | 横断面研究 | 北京市 | 312 | 65~93 | 42.8 | STOPP标准(2014版) 中国PIM标准(2017版) | 35.9 29.7 | ①、②、④、⑥、⑦ |
王思蒙[ | 2022 | 横断面研究 | 安徽省 | 422 | 62~101 | 46.2 | 中国PIM标准(2017版) | 64.0 | — |
HUANG等[ | 2020 | 横断面研究 | 湖南省 | 1 874 | 65~102 | 80.0 | Beers标准(2019版) 中国PIM标准(2017版) | 35.0 50.6 | ①、②、⑥、⑦ |
LI等[ | 2021 | 横断面研究 | 江苏省 | 8 235 | 65~103 | 51.9 | Beers标准(2019版) 中国PIM标准(2017版) | 32.2 37.1 | ①、②、⑥、⑦ |
SU等[ | 2022 | 横断面研究 | 北京市 | 506 214 | 65~105 | 49.9 | Beers标准(2015版) | 38.1 | ①、② |
ZENG等[ | 2022 | 横断面研究 | 北京市 | 508 | ≥65 | 46.7 | Beers标准(2015版) Beers标准(2019版) STOPP标准(2014版) | 34.7 42.5 73.2 | ①、②、③、④、⑤、⑥、⑦ |
Table 2 Basic characteristics of included studies
作者 | 发表年份(年) | 研究类型 | 地区 | 样本量 | 年龄(岁) | 样本中男性占比(%) | PIM评估工具 | PIM发生率(%) | PIM相关因素 |
---|---|---|---|---|---|---|---|---|---|
赵欢等[ | 2012 | 横断面研究 | 河北省 | 416 | ≥60 | 50.2 | Beers标准(2003版) | 14.7 | — |
李旭琴等[ | 2015 | 横断面研究 | 上海市 | 398 | 60~75 | 44.2 | Beers标准(2012版) | 37.7 | — |
杨楠等[ | 2016 | 横断面研究 | 上海市 | 6 002 | 60~97 | 40.1 | Beers标准(2012版) | 16.0 | ⑦ |
杨晓欧等[ | 2017 | 横断面研究 | 北京市 | 216 | 65~89 | 41.2 | Beers标准(2015版) STOPP标准(2014版) | 26.4 33.8 | — |
陈张勇等[ | 2018 | 横断面研究 | 北京市 | 795 | 65~103 | 49.2 | Beers标准(2015版) STOPP标准(2014版) 中国PIM标准(2015版) | 25.4 18.5 28.9 | — |
栗芳等[ | 2018 | 横断面研究 | 北京市 | 332 | 65~80 | 56.6 | Beers标准(2015版) | 17.5 | — |
唐志华[ | 2018 | 横断面研究 | 浙江省 | 300 | ≥60 | 32.7 | Beers标准(2015版) | 36.3 | — |
刘葳等[ | 2020 | 横断面研究 | 上海市 | 360 | 65~96 | 50.3 | Beers标准(2015版) STOPP标准(2014版) | 15.8 22.2 | ①、②、③、④、⑤、⑥、⑦ |
刘晓瑞等[ | 2020 | 横断面研究 | 北京市 | 215 | 60~90 | 31.2 | Beers标准(2019版) 中国PIM标准(2017版) | 30.7 24.7 | — |
黄琦岚[ | 2020 | 横断面研究 | 山西省 | 476 | ≥60 | 43.5 | Beers标准(2015版) | 67.2 | ①、②、③、④、⑤、⑥、⑦ |
李雪冰等[ | 2020 | 横断面研究 | 北京市 | 264 | 62~95 | 58.3 | Beers标准(2019版) 中国PIM标准(2017版) | 39.0 28.4 | ①、②、④、⑤、⑥ |
章陈怡等[ | 2020 | 横断面研究 | 上海市 | 968 | ≥65 | 51.3 | Beers标准(2015版) | 32.7 | ①、②、⑥、⑦ |
单青等[ | 2021 | 横断面研究 | 北京市 | 562 | 65~97 | 33.3 | 中国PIM标准(2017版) | 69.6 | ①、②、③、④、⑦ |
顾乐乐等[ | 2021 | 横断面研究 | 上海市 | 300 | 61~88 | 52.3 | 中国PIM标准(2017版) | 19.3 | ①、②、⑥、⑦ |
杜琳娜[ | 2021 | 横断面研究 | 陕西省 | 319 | ≥60 | 40.4 | 中国PIM标准(2017版) | 58.0 | ①、②、③、④、⑤ |
周茜等[ | 2021 | 横断面研究 | 青海省 | 530 | ≥65 | 53.8 | STOPP标准(2014版) | 32.6 | ①、②、④、⑤、⑥、⑦ |
栗芳等[ | 2022 | 横断面研究 | 北京市 | 943 | 60~79 | 48.5 | 中国PIM标准(2017版) | 31.3 | — |
耿佳音等[ | 2022 | 横断面研究 | 北京市 | 815 | ≥60 | 37.4 | Beers标准(2019版) 中国PIM标准(2017版) | 32.6 22.3 | ①、②、⑥、⑦ |
田艳等[ | 2022 | 横断面研究 | 北京市 | 312 | 65~93 | 42.8 | STOPP标准(2014版) 中国PIM标准(2017版) | 35.9 29.7 | ①、②、④、⑥、⑦ |
王思蒙[ | 2022 | 横断面研究 | 安徽省 | 422 | 62~101 | 46.2 | 中国PIM标准(2017版) | 64.0 | — |
HUANG等[ | 2020 | 横断面研究 | 湖南省 | 1 874 | 65~102 | 80.0 | Beers标准(2019版) 中国PIM标准(2017版) | 35.0 50.6 | ①、②、⑥、⑦ |
LI等[ | 2021 | 横断面研究 | 江苏省 | 8 235 | 65~103 | 51.9 | Beers标准(2019版) 中国PIM标准(2017版) | 32.2 37.1 | ①、②、⑥、⑦ |
SU等[ | 2022 | 横断面研究 | 北京市 | 506 214 | 65~105 | 49.9 | Beers标准(2015版) | 38.1 | ①、② |
ZENG等[ | 2022 | 横断面研究 | 北京市 | 508 | ≥65 | 46.7 | Beers标准(2015版) Beers标准(2019版) STOPP标准(2014版) | 34.7 42.5 73.2 | ①、②、③、④、⑤、⑥、⑦ |
作者 | ① | ② | ③ | ④ | ⑤ | ⑥ | ⑦ | ⑧ | ⑨ | ⑩ | ⑪ | 总分(分) |
---|---|---|---|---|---|---|---|---|---|---|---|---|
赵欢等[ | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 |
李旭琴等[ | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 |
杨楠等[ | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 |
杨晓欧等[ | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 |
陈张勇等[ | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 |
栗芳等[ | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 5 |
唐志华[ | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 7 |
刘葳等[ | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 |
刘晓瑞等[ | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 |
黄琦岚[ | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 7 |
李雪冰等[ | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 |
章陈怡等[ | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 |
单青等[ | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 |
顾乐乐等[ | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 |
杜琳娜[ | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 |
周茜等[ | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 |
栗芳等[ | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 |
耿佳音等[ | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 |
田艳等[ | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 |
王思蒙[ | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 |
HUANG等[ | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 |
LI等[ | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 |
SU等[ | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 8 |
ZENG等[ | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 8 |
Table 3 Risk of bias assessment of included studies
作者 | ① | ② | ③ | ④ | ⑤ | ⑥ | ⑦ | ⑧ | ⑨ | ⑩ | ⑪ | 总分(分) |
---|---|---|---|---|---|---|---|---|---|---|---|---|
赵欢等[ | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 |
李旭琴等[ | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 |
杨楠等[ | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 |
杨晓欧等[ | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 |
陈张勇等[ | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 |
栗芳等[ | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 5 |
唐志华[ | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 7 |
刘葳等[ | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 |
刘晓瑞等[ | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 |
黄琦岚[ | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 7 |
李雪冰等[ | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 |
章陈怡等[ | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 |
单青等[ | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 |
顾乐乐等[ | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 |
杜琳娜[ | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 |
周茜等[ | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 |
栗芳等[ | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 |
耿佳音等[ | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 |
田艳等[ | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 |
王思蒙[ | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 |
HUANG等[ | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 |
LI等[ | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 |
SU等[ | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 8 |
ZENG等[ | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 8 |
亚组 | 纳入研究数(项) | 异质性检验 | 效应模型 | PIM发生率(95%CI)(%) | |
---|---|---|---|---|---|
P值 | I2(%) | ||||
评估工具 | |||||
Beers标准 | 17[ | <0.001 | 99.4 | 随机 | 31.9(26.7,37.1) |
中国PIM标准 | 12[ | <0.001 | 98.7 | 随机 | 38.7(31.1,46.3) |
STOPP标准 | 6[ | <0.001 | 99.1 | 随机 | 36.0(18.4,53.7) |
样本中男性占比(%) | |||||
<50 | 15[ | <0.001 | 99.4 | 随机 | 38.1(32.4,43.9) |
≥50 | 9[ | <0.001 | 98.0 | 随机 | 29.1(24.4,33.8) |
地理区域 | |||||
北方 | 15[ | <0.001 | 98.6 | 随机 | 35.6(30.8,40.5) |
南方 | 9[ | <0.001 | 99.4 | 随机 | 33.2(26.3,40.1) |
文献发表时间(年) | |||||
2012—2019 | 7[ | <0.001 | 96.0 | 随机 | 25.2(20.4,30.1) |
2020—2022 | 17[ | <0.001 | 98.5 | 随机 | 38.4(35.3,41.6) |
Table 4 Subgroup analysis of the prevalence of potentially inappropriate medication in community-dwelling Chinese older adults
亚组 | 纳入研究数(项) | 异质性检验 | 效应模型 | PIM发生率(95%CI)(%) | |
---|---|---|---|---|---|
P值 | I2(%) | ||||
评估工具 | |||||
Beers标准 | 17[ | <0.001 | 99.4 | 随机 | 31.9(26.7,37.1) |
中国PIM标准 | 12[ | <0.001 | 98.7 | 随机 | 38.7(31.1,46.3) |
STOPP标准 | 6[ | <0.001 | 99.1 | 随机 | 36.0(18.4,53.7) |
样本中男性占比(%) | |||||
<50 | 15[ | <0.001 | 99.4 | 随机 | 38.1(32.4,43.9) |
≥50 | 9[ | <0.001 | 98.0 | 随机 | 29.1(24.4,33.8) |
地理区域 | |||||
北方 | 15[ | <0.001 | 98.6 | 随机 | 35.6(30.8,40.5) |
南方 | 9[ | <0.001 | 99.4 | 随机 | 33.2(26.3,40.1) |
文献发表时间(年) | |||||
2012—2019 | 7[ | <0.001 | 96.0 | 随机 | 25.2(20.4,30.1) |
2020—2022 | 17[ | <0.001 | 98.5 | 随机 | 38.4(35.3,41.6) |
项目 | 纳入研究数(项) | 异质性检验 | 效应模型 | OR (95%CI) | Z值 | P值 | |
---|---|---|---|---|---|---|---|
P值 | I2(%) | ||||||
性别男 | 11[ | 0.301 | 13.9 | 固定 | 0.986(0.936,1.039) | 0.53 | 0.599 |
年龄≥75岁 | 6[ | <0.001 | 78.6 | 随机 | 1.261(1.074,1.481) | 2.84 | 0.005 |
有配偶 | 4[ | 0.524 | 0 | 固定 | 0.921(0.788,1.076) | 1.04 | 0.297 |
文化程度为初中及以下 | 6[ | 0.287 | 18.8 | 固定 | 1.060(0.926,1.214) | 0.84 | 0.399 |
独居 | 5[ | 0.932 | 0 | 固定 | 1.114(0.862,1.441) | 0.83 | 0.408 |
合并多病(≥5种) | 3[ | <0.001 | 92.6 | 随机 | 3.287(1.405,7.691) | 2.74 | 0.006 |
用药数量≥5种 | 7[ | <0.001 | 95.7 | 随机 | 1.800(1.305,2.481) | 3.59 | <0.001 |
用药数量≥10种 | 4[ | 0.006 | 76.1 | 随机 | 4.380(2.612,7.347) | 5.60 | <0.001 |
Table 5 Meta-analysis of associated factors of potentially inappropriate medication in community-dwelling Chinese older adults
项目 | 纳入研究数(项) | 异质性检验 | 效应模型 | OR (95%CI) | Z值 | P值 | |
---|---|---|---|---|---|---|---|
P值 | I2(%) | ||||||
性别男 | 11[ | 0.301 | 13.9 | 固定 | 0.986(0.936,1.039) | 0.53 | 0.599 |
年龄≥75岁 | 6[ | <0.001 | 78.6 | 随机 | 1.261(1.074,1.481) | 2.84 | 0.005 |
有配偶 | 4[ | 0.524 | 0 | 固定 | 0.921(0.788,1.076) | 1.04 | 0.297 |
文化程度为初中及以下 | 6[ | 0.287 | 18.8 | 固定 | 1.060(0.926,1.214) | 0.84 | 0.399 |
独居 | 5[ | 0.932 | 0 | 固定 | 1.114(0.862,1.441) | 0.83 | 0.408 |
合并多病(≥5种) | 3[ | <0.001 | 92.6 | 随机 | 3.287(1.405,7.691) | 2.74 | 0.006 |
用药数量≥5种 | 7[ | <0.001 | 95.7 | 随机 | 1.800(1.305,2.481) | 3.59 | <0.001 |
用药数量≥10种 | 4[ | 0.006 | 76.1 | 随机 | 4.380(2.612,7.347) | 5.60 | <0.001 |
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