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Almubaslat F, Sanchez-Boluarte SS, Diaz MM. A review of neurological health disparities in Peru. Front Public Health 2023; 11:1210238. [PMID: 37744515 PMCID: PMC10513391 DOI: 10.3389/fpubh.2023.1210238] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2023] [Accepted: 08/24/2023] [Indexed: 09/26/2023] Open
Abstract
Peru is a historically unique and culturally diverse Latin American country. As a low-to-middle-income country (LMIC), Peru faces health implications from the spread of communicable diseases as well as a growing rate of noncommunicable diseases, both of which have been worsened by the recent COVID-19 pandemic's impact on the national health system. Over the past two decades, the country has aimed to improve health access for its population through various efforts described in this review. Despite this, there are notable neurological health disparities that exist today. This narrative review investigates such disparities through the leading neurological contributors to the national burden of disease in the country, including migraine headaches, cerebrovascular disease, and dementia. Public health disparities that contribute to other major neurological diseases in the country, including epilepsy, neurocysticercosis, Chagas disease, multiple sclerosis, traumatic brain injury, traumatic and non-traumatic spinal cord injuries are also investigated. We also explore potential solutions for overcoming the various neurological health disparities covered in this review that may be applied through public policies, as well as in similar LMICs in Latin America. By overcoming such disparities, the country may be able to successfully address the major contributors of neurological disease burden and create a healthcare environment that can sustainably and equitably improve health outcomes for Peruvian people.
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Affiliation(s)
- Faris Almubaslat
- Department of Neurology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | | | - Monica M. Diaz
- Department of Neurology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
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Madede T, Damasceno A, Lunet N, Augusto O, Silva-Matos C, Beran D, Levitt N. Changes in prevalence and the cascade of care for type 2 diabetes over ten years (2005-2015): results of two nationally representative surveys in Mozambique. BMC Public Health 2022; 22:2174. [PMID: 36434584 PMCID: PMC9701039 DOI: 10.1186/s12889-022-14595-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Accepted: 11/10/2022] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND Sub-Saharan Africa is predicted to have the steepest increase in the prevalence of diabetes in the next 25 years. The latest Mozambican population-based STEPS survey (STEPS 2005) estimated a 2.9% prevalence of diabetes in the adult population aged 25-64 years. We aimed to assess the change in prevalence, awareness, and management of diabetes in the national STEPS survey from 2014/2015 compared to 2005. METHODS We conducted an observational, quantitative, cross-sectional study following the WHO STEPS surveillance methodology in urban and rural settings, targeting the adult population of Mozambique in 2015. We collected sociodemographic data, anthropometric, and 12 hour fasting glucose blood samples in a sample of 1321 adults. The analysis consisted of descriptive measures of the prevalence of impaired fasting glucose (IFG), diabetes and related risk factors by age group, sex, and urban/rural residence and compared the findings to those of the 2005 survey results. RESULTS The prevalence of IFG and diabetes was 4.8% (95CI: 3.6-6.3) and 7.4% (95CI: 5.5-10.0), respectively. These prevalence of IFG and diabetes did not differ significantly between women and men. The prevalence of diabetes in participants classified with overweight/obesity [10.6% (95CI: 7.5-14.6)] and with central obesity (waist hip ratio) [11.0% (95CI: 7.4-16.1)] was almost double the prevalence of their leaner counterparts, [6.3% (95CI, 4.0-9.9)] and [5.2% (95CI: 3.2-8.6)], respectively. Diabetes prevalence increased with age. There were 50% more people with diabetes in urban areas than in rural. Only 10% of people with diabetes were aware of their disease, and only 44% of those taking oral glucose-lowering drugs. The prevalence of IFG over time [2.0% (95CI: 1.1-3.5) vs 4.8% (95CI: 3.6-6.3)] and diabetes [2.9% (95CI: 2.0-4.2) vs 7.4% (95CI: 5.5-10.0)] were more than twofold higher in 2014/2015 than in 2005. However, awareness of disease and being on medication decreased by 3% and by 50%, respectively. Though this was not statistically significant. CONCLUSIONS While the prevalence of diabetes in Mozambique has increased from 2005 to 2015, awareness and medication use have declined considerably. There is an urgent need to improve the capacity of primary health care and communities to detect, manage and prevent the occurrence of NCDs and their risk factors.
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Affiliation(s)
- Tavares Madede
- grid.8295.60000 0001 0943 5818Departament of Community Health, Faculty of Medicine, University Eduardo Mondlane, 702 Salvador Allende Ave, PO Box 257, Maputo, Mozambique ,grid.7836.a0000 0004 1937 1151Chronic Disease Initiative for Africa, Department of Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Albertino Damasceno
- grid.8295.60000 0001 0943 5818Faculty of Medicine, Eduardo Mondlane University, Maputo, Mozambique ,grid.470120.00000 0004 0571 3798Research Unit, Department of Medicine, Maputo Central Hospital, Maputo, Mozambique
| | - Nuno Lunet
- grid.5808.50000 0001 1503 7226Departamento de Ciências da Saúde Pública e Forenses e Educação Médica, Faculdade de Medicina da Universidade do Porto, Porto, Portugal ,grid.5808.50000 0001 1503 7226Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional (ITR), Porto, Portugal ,grid.5808.50000 0001 1503 7226EPIUnit - Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal
| | - Orvalho Augusto
- grid.8295.60000 0001 0943 5818Departament of Community Health, Faculty of Medicine, University Eduardo Mondlane, 702 Salvador Allende Ave, PO Box 257, Maputo, Mozambique
| | - Carla Silva-Matos
- grid.415752.00000 0004 0457 1249Ministry of Health, Maputo, Mozambique
| | - David Beran
- grid.8591.50000 0001 2322 4988Division of Tropical and Humanitarian Medicine, University of Geneva and Geneva University Hospitals, Geneva, Switzerland
| | - Naomi Levitt
- grid.7836.a0000 0004 1937 1151Chronic Disease Initiative for Africa, Department of Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
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Flood D, Geldsetzer P, Agoudavi K, Aryal KK, Brant LCC, Brian G, Dorobantu M, Farzadfar F, Gheorghe-Fronea O, Gurung MS, Guwatudde D, Houehanou C, Jorgensen JMA, Kondal D, Labadarios D, Marcus ME, Mayige M, Moghimi M, Norov B, Perman G, Quesnel-Crooks S, Rashidi MM, Moghaddam SS, Seiglie JA, Bahendeka SK, Steinbrook E, Theilmann M, Ware LJ, Vollmer S, Atun R, Davies JI, Ali MK, Rohloff P, Manne-Goehler J. Rural-Urban Differences in Diabetes Care and Control in 42 Low- and Middle-Income Countries: A Cross-sectional Study of Nationally Representative Individual-Level Data. Diabetes Care 2022; 45:1961-1970. [PMID: 35771765 PMCID: PMC9472489 DOI: 10.2337/dc21-2342] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 05/18/2022] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Diabetes prevalence is increasing rapidly in rural areas of low- and middle-income countries (LMICs), but there are limited data on the performance of health systems in delivering equitable and effective care to rural populations. We therefore assessed rural-urban differences in diabetes care and control in LMICs. RESEARCH DESIGN AND METHODS We pooled individual-level data from nationally representative health surveys in 42 countries. We used Poisson regression models to estimate age-adjusted differences in the proportion of individuals with diabetes in rural versus urban areas achieving performance measures for the diagnosis, treatment, and control of diabetes and associated cardiovascular risk factors. We examined differences across the pooled sample, by sex, and by country. RESULTS The pooled sample from 42 countries included 840,110 individuals (35,404 with diabetes). Compared with urban populations with diabetes, rural populations had ∼15-30% lower relative risk of achieving performance measures for diabetes diagnosis and treatment. Rural populations with diagnosed diabetes had a 14% (95% CI 5-22%) lower relative risk of glycemic control, 6% (95% CI -5 to 16%) lower relative risk of blood pressure control, and 23% (95% CI 2-39%) lower relative risk of cholesterol control. Rural women with diabetes had lower achievement of performance measures relating to control than urban women, whereas among men, differences were small. CONCLUSIONS Rural populations with diabetes experience substantial inequities in the achievement of diabetes performance measures in LMICs. Programs and policies aiming to strengthen global diabetes care must consider the unique challenges experienced by rural populations.
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Affiliation(s)
- David Flood
- Division of Hospital Medicine, Department of Medicine, University of Michigan, Ann Arbor, MI
- Center for Indigenous Health Research, Wuqu’ Kawoq, Tecpán, Guatemala
- Research Center for the Prevention of Chronic Diseases, Institute of Nutrition of Central America and Panama, Guatemala City, Guatemala
| | - Pascal Geldsetzer
- Division of Primary Care and Population Health, Stanford University, Stanford, CA
- Chan Zuckerberg Biohub, San Francisco, CA
| | | | - Krishna K. Aryal
- Public Health Promotion and Development Organization, Kathmandu, Nepal
| | - Luisa Campos Caldeira Brant
- Serviço de Cardiologia e Cirurgia Cardiovascular, Hospital das Clínicas da Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
- Departamento de Clínica Médica, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Garry Brian
- The Fred Hollows Foundation New Zealand, Auckland, New Zealand
| | - Maria Dorobantu
- University of Medicine and Pharmacy Carol Davila, Bucharest, Romania
| | - Farshad Farzadfar
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Oana Gheorghe-Fronea
- University of Medicine and Pharmacy Carol Davila, Bucharest, Romania
- Cardiology Department, Emergency Hospital Bucharest, Bucharest, Romania
| | | | - David Guwatudde
- Department of Epidemiology and Biostatistics, School of Public Health, Makerere University, Kampala, Uganda
| | - Corine Houehanou
- Laboratory of Epidemiology of Chronic and Neurological Diseases, Faculty of Health Sciences, University of Abomey-Calavi, Cotonou, Benin
| | | | - Dimple Kondal
- Public Health Foundation of India, Gurugram, India
- Centre for Chronic Disease Control, New Delhi, India
| | - Demetre Labadarios
- Faculty of Medicine and Health Sciences, Stellenbosch University, Stellenbosch, South Africa
| | - Maja E. Marcus
- Department of Economics and Centre for Modern Indian Studies, University of Göttingen, Göttingen, Germany
| | - Mary Mayige
- National Institute for Medical Research, Dar es Salaam, Tanzania
| | - Mana Moghimi
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Bolormaa Norov
- Division of Nutrition, National Center for Public Health, Ulaanbaatar, Mongolia
| | - Gastón Perman
- Department of Public Health, Instituto Universitario Hospital Italiano de Buenos Aires, Buenos Aires, Argentina
| | - Sarah Quesnel-Crooks
- Non-Communicable Diseases, Caribbean Public Health Agency, Port of Spain, Trinidad and Tobago
| | - Mohammad-Mahdi Rashidi
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Sahar Saeedi Moghaddam
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Silver K. Bahendeka
- Saint Francis Hospital Nsambya, Kampala, Uganda
- Uganda Martyrs University, Kampala, Uganda
| | | | - Michaela Theilmann
- Heidelberg Institute of Global Health, Heidelberg University and University Hospital, Heidelberg, Germany
| | - Lisa J. Ware
- South African Medical Research Council–Wits Developmental Pathways for Health Research Unit, Faculty of Health Sciences, Chris Hani Baragwanath Academic Hospital, University of the Witwatersrand, Johannesburg, South Africa
- Department of Science and Innovation–National Research Foundation Centre of Excellence in Human Development, University of the Witwatersrand, Johannesburg, South Africa
| | - Sebastian Vollmer
- Department of Economics and Centre for Modern Indian Studies, University of Göttingen, Göttingen, Germany
| | - Rifat Atun
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA
- Department of Global Health and Social Medicine, Harvard Medical School, Harvard University, Boston, MA
| | - Justine I. Davies
- Institute of Applied Health Research, University of Birmingham, Birmingham, U.K
- Centre for Global Surgery, Department of Global Health, Stellenbosch University, Stellenbosch, South Africa
- Medical Research Council/Wits University Rural Public Health and Health Transitions Research Unit, Faculty of Health Sciences, School of Public Health, University of the Witwatersrand, Johannesburg, South Africa
| | - Mohammed K. Ali
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA
- Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, GA
| | - Peter Rohloff
- Center for Indigenous Health Research, Wuqu’ Kawoq, Tecpán, Guatemala
- Division of Global Health Equity, Brigham and Women’s Hospital, Boston, MA
| | - Jennifer Manne-Goehler
- Division of Infectious Diseases, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
- Medical Practice Evaluation Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA
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Mulugeta TK, Kassa DH. Readiness of the primary health care units and associated factors for the management of hypertension and type II diabetes mellitus in Sidama, Ethiopia. PeerJ 2022; 10:e13797. [PMID: 36042860 PMCID: PMC9420406 DOI: 10.7717/peerj.13797] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 07/06/2022] [Indexed: 01/18/2023] Open
Abstract
Background In low-income nations such as Ethiopia, noncommunicable diseases (NCDs) are becoming more common. The Ethiopian Ministry of Health has prioritized NCD prevention, early diagnosis, and management. However, research on the readiness of public health facilities to address NCDs, particularly hypertension and type II diabetes mellitus, is limited. Methods The study used a multistage cluster sampling method and a health facility-based cross-sectional study design. A total of 83 health facilities were evaluated based on WHO's Service Availability and Readiness Assessment (SARA) tool to investigate the availability of services and the readiness of the primary health care unit (PHCU) to manage type II diabetes and Hypertension. Trained data collectors interviewed with PHCU head or NCD focal persons. The study tried to investigate (1) the availability of basic amenities and the four domains: staff and guidelines, basic equipment, diagnostic materials, and essential medicines used to manage DM and HPN, (2) the readiness of the PHCU to manage DM and HPN. The data were processed by using SPSS version 24. Descriptive statistics, including frequency and percentage, inferential statistics like the chi-square test, and logistic regression models were used to analyze the data. Results Of the 82 health facilities, only 29% and 28% of the PHCU identified as ready to manage HPN and DM. Facility type, facility location, presence of guidelines, trained staff, groups of antihypertensive and antidiabetic medicines had a significant impact (P < 0.05) on the readiness of the PHCU to manage HPN and DM at a 0.05 level of significance. Facilities located in urban were 8.2 times more likely to be ready to manage HPN cases than facilities located in rural (AOR = 8.2, 95% CI [2.4-28.5]) and P < 0.05. Conclusion and recommendation The results identified comparatively poor and deprived readiness to offer HPN and DM services at lower-level health facilities(health centers). Equipping the lower-level health facilities with screening and diagnostic materials, essential medicines, and provision of basic training for the health care providers and NCD guidelines should be available, especially in the lower health care facilities.
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Affiliation(s)
- Tigist Kebede Mulugeta
- School of Nutrition, Food Science and Technology, Department of Human Nutrition Hawassa University, Hawassa, Ethiopia
- School of Public Health, Department of Public Health Hawassa University, Hawassa, Ethiopia
| | - Dejene Hailu Kassa
- School of Public Health, Department of Public Health Hawassa University, Hawassa, Ethiopia
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