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Najafi M, Gholipour K, Amerzadeh M, Kiaei MZ, Kalhor R. A framework for elderly participation in Primary Health Care in Tabriz Health complexes. BMC Geriatr 2023; 23:499. [PMID: 37605154 PMCID: PMC10441748 DOI: 10.1186/s12877-023-04217-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Accepted: 08/04/2023] [Indexed: 08/23/2023] Open
Abstract
BACKGROUND A framework for increasing elderly participation in Primary Health Care (PHC) is a vital issue considering the growing population. After examining the situation and elderly participation in the provision of PHC in the health complexes of Tabriz City, the present study presents the framework of elderly participation in PHC. METHODS This is a mixed-method study. First, we reviewed the models of elderly participation in PHC worldwide using a comprehensive search of literature. Then, we extracted the service providers' and the elderly's views regarding the obstacles and solutions for the elderly participation in PHC in Iran using the interviews and focus group discussions (FGD). We conducted three FGDs (8-10 people) and seven individual interviews. Data were analyzed using the content analysis method. We developed the proposed framework for the participation of the elderly in PHC using a panel of experts and checked and confirmed the framework's validity using the Delphi technique with 11 experts from the content validity index and modified kappa coefficient. RESULTS Based on the result of included studies in the systematic review, the characteristics of the participation models were classified into five areas: the characteristics of the service user, the main facilitator of the intervention, the type of ownership of the center, the subject and the method of participation. The solutions and obstacles, and problems presented by the service providers and users in different areas include 12 themes (elderly participation, home care, and self-care, respect for the elderly, cooperation of different organizations, service package for the elderly, referral system, planning for the elderly, considering insurance for the elderly, the role of informing the elderly, mental health of the elderly, physical space of centers and training of elderly caregivers) and 46 sub-themes. The final framework also includes five themes (approaches and strategies to attract participation, indicators, and consequences of participation of the elderly, implementation strategies of elderly care, implementation infrastructure and goals and areas of participation of the elderly) and sub-themes. CONCLUSION The results of the study indicate that the final framework obtained should be used based on a systematic model for elderly participation in PHC and should be implemented and followed up based on local strategies and specific indicators, considering all capacities.
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Affiliation(s)
- Mahdieh Najafi
- Student Research Committee, School of Public Health, Qazvin University of Medical Sciences, Qazvin, Iran
| | - Kamal Gholipour
- Tabriz Health Services Management Research Center, Department of Health Policy and Management, School of Management and Medical Informatics, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Mohammad Amerzadeh
- Social Determinants of Health Research Center, Research Institute for Prevention of Non-Communicable Diseases, Qazvin University of Medical Sciences, Qazvin, Iran
| | - Mohammad Zakaria Kiaei
- Health Services Management, School of Public Health, Qazvin University of Medical Sciences, Qazvin, Iran
| | - Rohollah Kalhor
- Social Determinants of Health Research Center, Research Institute for Prevention of Non-Communicable Diseases, Qazvin University of Medical Sciences, Qazvin, Iran.
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Collins LF, Palella FJ, Mehta CC, Holloway J, Stosor V, Lake JE, Brown TT, Topper EF, Naggie S, Anastos K, Taylor TN, Kassaye S, French AL, Adimora AA, Fischl MA, Kempf MC, Koletar SL, Tien PC, Ofotokun I, Sheth AN. Aging-Related Comorbidity Burden Among Women and Men With or At-Risk for HIV in the US, 2008-2019. JAMA Netw Open 2023; 6:e2327584. [PMID: 37548977 PMCID: PMC10407688 DOI: 10.1001/jamanetworkopen.2023.27584] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2023] [Accepted: 06/26/2023] [Indexed: 08/08/2023] Open
Abstract
Importance Despite aging-related comorbidities representing a growing threat to quality-of-life and mortality among persons with HIV (PWH), clinical guidance for comorbidity screening and prevention is lacking. Understanding comorbidity distribution and severity by sex and gender is essential to informing guidelines for promoting healthy aging in adults with HIV. Objective To assess the association of human immunodeficiency virus on the burden of aging-related comorbidities among US adults in the modern treatment era. Design, Setting, and Participants This cross-sectional analysis included data from US multisite observational cohort studies of women (Women's Interagency HIV Study) and men (Multicenter AIDS Cohort Study) with HIV and sociodemographically comparable HIV-seronegative individuals. Participants were prospectively followed from 2008 for men and 2009 for women (when more than 80% of participants with HIV reported antiretroviral therapy use) through last observation up until March 2019, at which point outcomes were assessed. Data were analyzed from July 2020 to April 2021. Exposures HIV, age, sex. Main Outcomes and Measures Comorbidity burden (the number of total comorbidities out of 10 assessed) per participant; secondary outcomes included individual comorbidity prevalence. Linear regression assessed the association of HIV status, age, and sex with comorbidity burden. Results A total of 5929 individuals were included (median [IQR] age, 54 [46-61] years; 3238 women [55%]; 2787 Black [47%], 1153 Hispanic or other [19%], 1989 White [34%]). Overall, unadjusted mean comorbidity burden was higher among women vs men (3.4 [2.1] vs 3.2 [1.8]; P = .02). Comorbidity prevalence differed by sex for hypertension (2188 of 3238 women [68%] vs 2026 of 2691 men [75%]), psychiatric illness (1771 women [55%] vs 1565 men [58%]), dyslipidemia (1312 women [41%] vs 1728 men [64%]), liver (1093 women [34%] vs 1032 men [38%]), bone disease (1364 women [42%] vs 512 men [19%]), lung disease (1245 women [38%] vs 259 men [10%]), diabetes (763 women [24%] vs 470 men [17%]), cardiovascular (493 women [15%] vs 407 men [15%]), kidney (444 women [14%] vs 404 men [15%]) disease, and cancer (219 women [7%] vs 321 men [12%]). In an unadjusted model, the estimated mean difference in comorbidity burden among women vs men was significantly greater in every age strata among PWH: age under 40 years, 0.33 (95% CI, 0.03-0.63); ages 40 to 49 years, 0.37 (95% CI, 0.12-0.61); ages 50 to 59 years, 0.38 (95% CI, 0.20-0.56); ages 60 to 69 years, 0.66 (95% CI, 0.42-0.90); ages 70 years and older, 0.62 (95% CI, 0.07-1.17). However, the difference between sexes varied by age strata among persons without HIV: age under 40 years, 0.52 (95% CI, 0.13 to 0.92); ages 40 to 49 years, -0.07 (95% CI, -0.45 to 0.31); ages 50 to 59 years, 0.88 (95% CI, 0.62 to 1.14); ages 60 to 69 years, 1.39 (95% CI, 1.06 to 1.72); ages 70 years and older, 0.33 (95% CI, -0.53 to 1.19) (P for interaction = .001). In the covariate-adjusted model, findings were slightly attenuated but retained statistical significance. Conclusions and Relevance In this cross-sectional study, the overall burden of aging-related comorbidities was higher in women vs men, particularly among PWH, and the distribution of comorbidity prevalence differed by sex. Comorbidity screening and prevention strategies tailored by HIV serostatus and sex or gender may be needed.
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Affiliation(s)
- Lauren F. Collins
- Division of Infectious Diseases, Emory University School of Medicine, Atlanta, Georgia
- Grady Healthcare System, Ponce de Leon Center, Atlanta, Georgia
| | - Frank J. Palella
- Division of Infectious Diseases, Northwestern University, Feinberg School of Medicine, Chicago, Illinois
| | - C. Christina Mehta
- Division of Infectious Diseases, Emory University School of Medicine, Atlanta, Georgia
| | - JaNae Holloway
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Valentina Stosor
- Division of Infectious Diseases, Northwestern University, Feinberg School of Medicine, Chicago, Illinois
| | - Jordan E. Lake
- Department of Medicine, University of Texas Health Sciences Center, Houston
| | - Todd T. Brown
- Division of Endocrinology, Diabetes, & Metabolism, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Elizabeth F. Topper
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Susanna Naggie
- Duke Clinical Research Institute and Duke University School of Medicine, Durham, North Carolina
| | - Kathryn Anastos
- Department of Medicine, Albert Einstein College of Medicine, Bronx, New York
| | - Tonya N. Taylor
- SUNY Downstate Health Sciences University, Brooklyn, New York
| | - Seble Kassaye
- Georgetown University Medical Center, Washington, DC
| | - Audrey L. French
- Division of Infectious Diseases, CORE Center, Stroger Hospital of Cook County, Chicago, Illinois
| | - Adaora A. Adimora
- School of Medicine and UNC Gillings School of Global Public Health, University of North Carolina at Chapel Hill
| | - Margaret A. Fischl
- Division of Infectious Diseases, University of Miami Miller School of Medicine, Miami, Florida
| | - Mirjam-Colette Kempf
- Schools of Nursing, Public Health and Medicine, University of Alabama at Birmingham
| | - Susan L. Koletar
- Division of Infectious Diseases, The Ohio State University Medical Center, Columbus
| | - Phyllis C. Tien
- Division of Infectious Diseases, Department of Medicine, University of California, San Francisco
- Medical Service, Department of Veterans Affairs, San Francisco, California
| | - Ighovwerha Ofotokun
- Division of Infectious Diseases, Emory University School of Medicine, Atlanta, Georgia
- Grady Healthcare System, Ponce de Leon Center, Atlanta, Georgia
| | - Anandi N. Sheth
- Division of Infectious Diseases, Emory University School of Medicine, Atlanta, Georgia
- Grady Healthcare System, Ponce de Leon Center, Atlanta, Georgia
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Du YR, Liu L, Zhao Y, Huang JJ, Golden AR, Cai L. Ethnic disparities in prevalence of chronic non-communicable diseases and its multimorbidity among older adults in rural southwest China. BMC Public Health 2023; 23:1217. [PMID: 37353785 PMCID: PMC10288692 DOI: 10.1186/s12889-023-16161-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2023] [Accepted: 06/20/2023] [Indexed: 06/25/2023] Open
Abstract
BACKGROUND As the population ages, chronic non-communicable diseases (NCDs) multimorbidity has emerged as a major public health issue globally. This study examines ethnic disparities in prevalence of NCDs and its multimorbidity among rural southwest Chinese older adults. METHODS A cross-sectional survey was conducted in rural southwest population aged ≥ 60 years consisting of 5,642 consenting participants of Han and three ethnic minority groups (Dai, Ha Ni, and Bai). Information about participants' demographic characteristics and lifestyle behaviors was obtained using a standard questionnaire. Anthropometric measurements including height, weight, and waist circumference, fasting blood sugar and blood pressure measurement, as well as post-bronchodilator spirometry test were recorded for each participant. RESULTS The age-standardized prevalence of five common chronic NCDs- hypertension, diabetes, coronary heart disease (CHD), stroke, chronic obstructive pulmonary disease (COPD) - and its multimorbidity was 72.8%, 15.9%, 4.0%, 10.0%, 9.8%, and 27.6%, respectively. Bai participants had both the highest overall and sex-specific prevalence rates of hypertension, diabetes, stroke, and COPD, whereas Han participants had the highest rates of CHD (P < 0.01). The results of multivariate logistic regression analysis indicated that female and older participants had a higher probability of chronic NCDs multimorbidity than their counterparts (P < 0.01). Bai ethnic minority participants were more likely to have NCDs multimorbidity while Ha Ni and Dai ethnic minority participants were less likely to have NCD multimorbidity relative to the Han participants (P < 0.05). Older adults with a higher level of education and family history of chronic NCDs, and who were also current smokers, current drinkers, obese, centrally obese, and physically inactive had a greater probability of developing chronic NCDs multimorbidity (P < 0.01). CONCLUSIONS Ethnicity and individual demographic and lifestyle factors significantly impact prevalence of chronic NCDs multimorbidity. Future chronic NCDs prevention and control strategies must be tailored to address ethnicity, and culturally tailored lifestyle interventions may reduce the prevalence of chronic NCDs multimorbidity in rural southwest China.
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Affiliation(s)
- Ying-rong Du
- The Third People’s Hospital of Kunming, Kunming, China
| | - Lan Liu
- School of Public Health, Kunming Medical University, Kunming, China
| | - Yi Zhao
- School of Public Health, Kunming Medical University, Kunming, China
- The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | | | | | - Le Cai
- School of Public Health, Kunming Medical University, Kunming, China
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Psychometric Properties of the Short Form-36 (SF-36) in Parents of Children with Mental Illness. PSYCH 2022. [DOI: 10.3390/psych4020021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Given the stressful experiences of parenting children with mental illness, researchers and health professionals must ensure that the health-related quality of life of these vulnerable parents is measured with sufficient validity and reliability. This study examined the psychometric properties of the SF-36 in parents of children with mental illness. The data come from 99 parents whose children were currently receiving mental health services. The correlated two-factor structure of the SF-36 was replicated. Internal consistencies were robust (α > 0.80) for all but three subscales (General Health, Vitality, Mental Health). Inter-subscale and component correlations were strong. Correlations with parental psychopathology ranged from r = −0.32 to −0.60 for the physical component and r = −0.39 to −0.75 for the mental component. Parents with clinically relevant psychopathology had significantly worse SF-36 scores. SF-36 scores were inversely associated with the number of child diagnoses. The SF-36 showed evidence of validity and reliability as a measure of health-related quality of life in parents of children with mental illness and may be used as a potential outcome in the evaluation of family-centered approaches to care within child psychiatry. Given the relatively small sample size of this study, research should continue to examine its psychometric properties in more diverse samples of caregivers.
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