社区老年人慢性肌肉骨骼疼痛自我管理行为意向的质性研究
Behavioural intentions in self-management of chronic musculoskeletal pain in the elderly living in the community:a qualitative study
刘芳 1李漓 2张馨元2
作者信息
- 1. 南方医科大学珠江医院 护理部,广东广州,510282;南方医科大学护理学院,广东广州,510515
- 2. 南方医科大学珠江医院 临床护理教研室,广东广州,510282
- 折叠
摘要
目的 探讨社区老年人自我管理慢性肌肉骨骼疼痛的行为意向,为制订改善老年人自我管理行为干预措施提供依据.方法 应用描述性质性研究方法,采用目的抽样法,选取 2023 年 2 月—4 月广州市某社区卫生服务中心就诊的 13 例65 岁及以上慢性肌肉骨骼疼痛患者,基于计划行为理论进行面对面半结构式访谈.应用NVivo12 软件和内容分析法分析访谈资料并提炼主题.结果 提炼出社区老年人自我管理慢性肌肉骨骼疼痛行为意向 3 个主题,包括:自我管理疼痛行为态度存在差异,自我管理疼痛主观规范支持不足,自我管理疼痛感知行为控制能力不强.结论 社区慢性肌肉骨骼疼痛老年人自我管理疼痛的行为意向有待提升,应制订针对性的干预措施改善其自我管理行为,提高其生活质量.
Abstract
Objective To investigate the behavioural intentions of self-management of chronic musculoskeletal pain in the elderly living in the community.Methods Descriptive qualitative research method and purposive sampling method were used to select 13 patients aged 65 years and above with chronic musculoskeletal pain at a community health centre in Guangzhou,between February and April 2023.Semi-structured interviews that were developed according to the theory of planned behavior were conducted among the participants.NVivo12 was used to analyse the data acquired from the interviews.Content analysis method was employed to extract the themes.Results Three major themes regarding the behavioural intentions of self-management of chronic musculoskeletal pain were extracted,including differences in attitude toward the pain self-management behaviour,inadequate subjective norm support for pain self-management,and weak perceived behavioural control of pain self-management.Conclusions The behavioural intentions of self-management for chronic musculoskeletal pain among the elderly living in the community require further improvement.Targeted interventions should be implemented to promote the behaviours in self-management of pains.
关键词
社区/老年人/慢性肌肉骨骼疼痛/自我管理/计划行为理论/描述性质性研究Key words
community/elderly/chronic musculoskeletal pain/self-management/theory of planned behaviour/descriptive qualitative research引用本文复制引用
基金项目
南方医科大学护理科研专项重点项目(Z2021006)
出版年
2024
NETL
NSTL
万方数据