Ayomide Okanlawon Bankole , Rozmin B Jiwani , Forgive Avorgbedor , Jing Wang , Onome Henry Osokpo , Sara L. Gill , Carrie Jo Braden
{"title":"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","authors":"Ayomide Okanlawon Bankole , Rozmin B Jiwani , Forgive Avorgbedor , Jing Wang , Onome Henry Osokpo , Sara L. Gill , Carrie Jo Braden","doi":"10.1016/j.ahr.2023.100158","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>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.</p></div><div><h3>Methods</h3><p>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 (<em>n</em> = 17) and the Multimorbidity Illness Perception Scale (MULTIPleS) (<em>n</em> = 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.</p></div><div><h3>Results</h3><p>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.</p></div><div><h3>Conclusions</h3><p>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.</p></div>","PeriodicalId":72129,"journal":{"name":"Aging and health research","volume":"3 4","pages":"Article 100158"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Exploring illness perceptions of multimorbidity among community-dwelling older adults: A mixed methods study\",\"authors\":\"Ayomide Okanlawon Bankole , Rozmin B Jiwani , Forgive Avorgbedor , Jing Wang , Onome Henry Osokpo , Sara L. Gill , Carrie Jo Braden\",\"doi\":\"10.1016/j.ahr.2023.100158\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><p>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.</p></div><div><h3>Methods</h3><p>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 (<em>n</em> = 17) and the Multimorbidity Illness Perception Scale (MULTIPleS) (<em>n</em> = 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.</p></div><div><h3>Results</h3><p>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.</p></div><div><h3>Conclusions</h3><p>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.</p></div>\",\"PeriodicalId\":72129,\"journal\":{\"name\":\"Aging and health research\",\"volume\":\"3 4\",\"pages\":\"Article 100158\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-09-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Aging and health research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2667032123000422\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Aging and health research","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2667032123000422","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.