探索社区居住的老年人对多病的疾病认知:一项混合方法研究

Ayomide Okanlawon Bankole , Rozmin B Jiwani , Forgive Avorgbedor , Jing Wang , Onome Henry Osokpo , Sara L. Gill , Carrie Jo Braden
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引用次数: 0

摘要

背景疾病认知是个人对疾病性质和治疗的信念或经历。虽然对疾病感知进行了广泛的研究,但对多发病的疾病感知知之甚少。方法采用平行-收敛混合方法研究社区老年人对多发病的疾病认知。使用一对一半结构化访谈(n=17)和多发病疾病感知量表(MULTIPleS)(n=116)收集数据。定性数据采用内容分析法进行分析,定量数据采用描述性和推断统计学进行分析。通过参与者的社会人口统计学和疾病相关特征,将定性和定量研究结果相结合,以确定对多发病的疾病认知差异。结果总体而言,参与者大多为女性(71%),自我报告为西班牙裔(35%)、黑人(33%)、白人(27%)或亚洲人(5%)。从定性数据的内容分析来看,我们描述了与多发病的疾病感知有关的三个主题,这三个主题受到参与者的社会人口统计和疾病相关特征的影响:(1)条件之间的相互关系(2)后果和优先级,以及(3)多发病对幸福感的影响。而对定量数据的推断分析表明,仅在种族/民族(因果关系、优先顺序、汇总量表)和教育程度(优先顺序分量表)等社会人口学特征上存在统计学上的显著差异。定性和定量结果的混合分析证实,对多发病的疾病认知可能不会因慢性病的数量而有所不同。结论受试者优先考虑多发病对其健康的影响,而不太重视其慢性病的数量。需要进行更多的研究,以进一步描述对多发病的疾病认知,并制定超越以疾病为重点的方法的干预措施,解决患有多发病的老年人的整体需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring illness perceptions of multimorbidity among community-dwelling older adults: A mixed methods study

Background

Illness perceptions are individual beliefs or experiences about the nature and treatment of their illness. While extensive research exists on illness perceptions, less is known about illness perceptions of multimorbidity.

Methods

The purpose of this parallel-convergent mixed-methods study was to comprehensively explore illness perception of multimorbidity among community dwelling older adults. Data was collected using one-on-one semi-structured interviews (n = 17) and the Multimorbidity Illness Perception Scale (MULTIPleS) (n = 116). Qualitative data were analyzed using content analysis while quantitative data were analyzed with descriptive and inferential statistics. Both qualitative and quantitative findings were integrated to identify differences in illness perceptions of multimorbidity by participant's socio-demographic and illness-related characteristics.

Results

Overall, participants were mostly female (71 %), self-reported as Hispanic (35 %), Black (33 %), White (27 %), or Asian (5 %). From the content analysis of the qualitative data, we described three themes pertaining to Illness perception of multimorbidity which were influenced by both participants’ socio-demographic and illness-related characteristics: (1) inter-relationships between conditions (2) consequences and priorities and (3) impact of multimorbidity on wellbeing. While inferential analysis of quantitative data indicated statistically significant differences across only socio-demographic characteristics such as race/ethnicity (causal links, prioritization, summary scale) and educational attainment (prioritization subscale). Mixed analysis of qualitative and quantitative findings confirmed that illness perception of multimorbidity may not differ by the number of chronic conditions.

Conclusions

Participants prioritized the impact of multimorbidity on their wellbeing, placing less importance on the number of their chronic conditions. Additional studies are needed to further characterize illness perceptions of multimorbidity and develop interventions that extend beyond disease-focused approaches, addressing the holistic needs of older adults with multimorbidity.

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来源期刊
Aging and health research
Aging and health research Clinical Neurology, Public Health and Health Policy, Geriatrics and Gerontology
CiteScore
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12 weeks
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