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Molaeipour L, Koohi F, Ostovar A, Etemad K, Hezaveh AM, Yousefi E, Heshmat R, Azizi F, Hadaegh F, Khalili D. Health indicators in the management of diabetes in Primary health care: Iran-package of Essential Non-communicable diseases (IraPEN) program. J Diabetes Metab Disord 2025; 24:40. [PMID: 39801686 PMCID: PMC11711714 DOI: 10.1007/s40200-024-01550-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2024] [Accepted: 12/12/2024] [Indexed: 01/16/2025]
Abstract
Objectives This study evaluated the effectiveness of the IraPEN program, an adapted version of the WHO Package of Essential Non-communicable Disease (PEN) intervention, in managing diabetes from September 2020 to September 2021 using the Input-Process-Output-Outcome framework. Methods In this Cross-sectional/Ecological study, aggregated data was collected from IraPEN facilities by medical universities using the electronic health system. The data was presented as numbers and proportions, for urban and rural healthcare facilities separately. Results The study surveyed 610 NCD facilities from184 comprehensive health centers under the supervision of 56 medical universities, which provided services to 1,785,226 individuals aged > = 30 years. In terms of input/process, 78% of NCD facilities had functional point-of-care testing, and 14% of health centers with drugstore experienced a stock-out of core medications during the past three months. In urban facilities, 66% had at least a trained nutritionist, and 82% trained psychologist. Regarding output/outcome, 26% of expected diabetes and 23% of expected pre-diabetes, as estimated by the STEPS 2016 survey, were enrolled in NCD facilities, with higher rates in rural than urban areas. Among the referred patients, 38.7% took statins, 53% visited a physician in the last three months, 57.2% were referred for dietary assessment, and 72.5% were referred to secondary care. Around 39% of diabetic patients with at least one HbA1c laboratory test had good glycemic control. Conclusions The IraPEN program has managed only a quarter of diabetic patients, and less than half of them are in good glycemic control. Urgent improvements, mainly in coverage and effectiveness, are necessary. Supplementary Information The online version contains supplementary material available at 10.1007/s40200-024-01550-z.
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Affiliation(s)
- Leila Molaeipour
- Department of Biostatistics and Epidemiology, School of Health, Guilan University of Medical Sciences, Rasht, Iran
- Prevention of Metabolic Disorders Research Center, Research Institute for Metabolic and Obesity Disorders, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, No.23, Aarabi Street, Yaman Street, Velenjak, Tehran, Iran
| | - Fatemeh Koohi
- Prevention of Metabolic Disorders Research Center, Research Institute for Metabolic and Obesity Disorders, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, No.23, Aarabi Street, Yaman Street, Velenjak, Tehran, Iran
- Stroke Research Group, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Afshin Ostovar
- Osteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Endocrinology and Metabolism Research Institute, Tehran University of Medical Sciences (TUMS), Tehran, Iran
| | - Koorosh Etemad
- Department of Epidemiology, School of Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran
- Non-Communicable Diseases Control Centre, Ministry of Health and Medical Education, Tehran, Iran
| | - Alireza Mahdavi Hezaveh
- Non-Communicable Diseases Control Centre, Ministry of Health and Medical Education, Tehran, Iran
| | - Elham Yousefi
- Non-Communicable Diseases Control Centre, Ministry of Health and Medical Education, Tehran, Iran
| | - Ramin Heshmat
- Chronic Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Fereidoun Azizi
- Endocrine Research Center, Research Institute for Endocrine Disorders, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Farzad Hadaegh
- Prevention of Metabolic Disorders Research Center, Research Institute for Metabolic and Obesity Disorders, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, No.23, Aarabi Street, Yaman Street, Velenjak, Tehran, Iran
| | - Davood Khalili
- Prevention of Metabolic Disorders Research Center, Research Institute for Metabolic and Obesity Disorders, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, No.23, Aarabi Street, Yaman Street, Velenjak, Tehran, Iran
- Lown Scholar, Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA USA
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Darvishi A, Nikkhah A, Mahmudimanesh M, Balajam NZ, Shafiee G, Heshmat R. Socioeconomic inequalities in type 2 diabetes mellitus: a study based on a population-based survey in Iran. BMC Public Health 2024; 24:926. [PMID: 38555434 PMCID: PMC10981331 DOI: 10.1186/s12889-024-18452-7] [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: 01/06/2024] [Accepted: 03/26/2024] [Indexed: 04/02/2024] Open
Abstract
BACKGROUND Type 2 diabetes mellitus (T2DM) is the most prevalent form of Diabetes Mellitus (DM), with social and economic determinants significantly influencing its prevalence. This study aimed to analyze the socioeconomic inequalities associated with T2DM in Iran. METHODS Data from an observational survey in Iran, titled "Diabetes Care (DiaCare)," were utilized for this study. Socioeconomic inequalities were assessed through variables including Hemoglobin A1C (HbA1c), Fasting Blood Glucose (FBG), and Triple target (HbA1c, blood pressure, LDL-C), using concentration indices (CIs) and a multivariate logistic regression analysis. Individual socioeconomic status (SES) was determined by calculating an asset index using principle component analysis (PCA) based on their properties. Data analysis was conducted using STATA software version 14. RESULTS A total of 13,321 participants were included in the study. The CIs were significantly positive for controlled HbA1c (0.0324) and triple target (0.1067), while for controlled FBG, it was 0.0125, although not significant. Among females, the CIs were significantly positive for controlled HbA1c (0.0745), FBG (0.0367), and triple target (0.209). Additionally, in the 45-55 and 65-75 age groups, the CIs were significantly positive for controlled HbA1c (0.0607) and FBG (0.0708), respectively. This index was significant for controlled Triple target in the 35-45 (0.376) and 65-75 (0.124) age groups. The CI for controlled FBG was significant in rural dwellers (-0.044) while the concentration of controlled triple target was significant in urban dwellers (0.0967). Controlled HbA1c showed significant concentration in both urban (0.0306) and rural (-0.0576) dwellers. Furthermore, the CIs were significant for controlled HbA1c in regions with medium prevalence (0.0534) and FBG in regions with low prevalence (-0.0277). This index was significantly positive for controlled triple target in regions with high prevalence (0.124). CONCLUSIONS Diabetes care is more concentrated among individuals with higher SES. Policymakers should consider this to mitigate the inequality and alleviate the burden of T2DM.
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Affiliation(s)
- Ali Darvishi
- Chronic Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Adeleh Nikkhah
- Chronic Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Marzieh Mahmudimanesh
- Chronic Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Narges Zargar Balajam
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Gita Shafiee
- Chronic Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
- Endocrinology and Metabolism Research Institute, No. 10, Jalale- Al-Ahmad Ave, Chamran Highway, Tehran, Iran.
| | - Ramin Heshmat
- Chronic Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
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Panahi N, Ahmadi M, Hosseinpour M, Sedokani A, Sanjari M, Khalagi K, Mansourzadeh MJ, Farhadi A, Nabipour I, Larijani B, Fahimfar N, Ostovar A. The association between quality of life and diabetes: the Bushehr Elderly Health Program. BMC Geriatr 2024; 24:267. [PMID: 38500039 PMCID: PMC10949763 DOI: 10.1186/s12877-024-04878-6] [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: 12/17/2023] [Accepted: 03/06/2024] [Indexed: 03/20/2024] Open
Abstract
BACKGROUND AND OBJECTIVE Considering the importance of diabetes and its increased prevalence with aging, this study aimed to evaluate the association between diabetes status and quality of life (QOL) and the determining factors in individuals over 60. METHODS Two thousand three hundred seventy-five individuals including 819 (34.5%) with diabetes, aged 69.4 ± 6.4, from Bushehr Elderly Health Program (BEHP) were enrolled. We categorized the participants as non-diabetic, controlled diabetic, and poorly controlled diabetic. The QOL was assessed using the SF-12 questionnaire. The physical (PCS) and mental (MCS) component summaries of QOL were estimated. We compared the SF-12 domains and components between the categories using ANOVA. Further, the association of diabetes status with PCS and MCS was assessed after adjustment for possible confounders including age, sex, depression, cognitive impairment, physical activity, and other relevant factors using linear regression analysis. RESULTS Individuals with diabetes had lower PCS (40.9 ± 8.8 vs. 42.7 ± 8.6, p-value < 0.001), and MCS scores (45.0 ± 10.2 vs. 46.4 ± 9.4, p-value < 0.001) compared to participants without diabetes. No significant differences were observed in PCS or MCS scores between controlled or poorly controlled individuals with diabetes. Diabetes status was associated with PCS and MCS scores in univariable analysis. Regarding physical component of QOL, after adjusting for other confounders, poorly controlled diabetes was significantly associated with PCS [beta: -1.27 (-2.02, -0.52)]; some other determinants include depression [-7.66 (-8.51, -6.80)], male sex [3.90 (3.24,4.57)], and good physical activity [1.87 (1.17,2.57)]. As for the mental component, controlled diabetes was significantly associated with MCS [-1.17 (-2.13, -0.22)]; other contributing factors include depression [-14.35 (-15.34, -13.37)], male sex [1.97 (1.20,2.73)], good physical activity [-1.55 (-2.35, -0.75)], and smoking [-1.42 (-2.24, -0.59)]. BMI had an inverse association with PCS [-0.19 (-0.26, -0.13)] and a direct association with MCS [0.14 (0.07,0.21)]. CONCLUSION Individuals with diabetes exhibited reduced QOL scores. Upon adjusting for other variables, it was found that uncontrolled diabetes correlated with decreased PCS scores, whereas controlled diabetes was linked to lower MCS scores. Factors such as depression and being female were identified as contributors to diminished QOL in both physical and mental aspects. These results have the potential to guide healthcare decision-making, facilitating the creation of tailored interventions aimed at improving the QOL for individuals with diabetes, with a specific focus on women and depression.
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Affiliation(s)
- Nekoo Panahi
- Metabolic Disorders Research Center, Endocrinology and Metabolism Molecular-Cellular Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammad Ahmadi
- Osteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Marjan Hosseinpour
- Osteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
- Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Amin Sedokani
- Metabolic Disorders Research Center, Endocrinology and Metabolism Molecular-Cellular Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Mahnaz Sanjari
- Osteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Kazem Khalagi
- Osteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
- Obesity and Eating Habits Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammad Javad Mansourzadeh
- Osteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Akram Farhadi
- The Persian Gulf Tropical Medicine Research Center, The Persian Gulf Biomedical Sciences Research Institute, Bushehr University of Medical Sciences, Bushehr, Iran
| | - Iraj Nabipour
- The Persian Gulf Marine Biotechnology Research Center, The Persian Gulf Biomedical Sciences Research Institute, Bushehr University of Medical Sciences, Bushehr, Iran
| | - Bagher Larijani
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Noushin Fahimfar
- Osteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
- Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
| | - Afshin Ostovar
- Osteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
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