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Idris H, Nugraheni WP, Rachmawati T, Kusnali A, Yulianti A, Purwatiningsih Y, Nuraini S, Susianti N, Faisal DR, Arifin H, Maharani A. How Is Telehealth Currently Being Utilized to Help in Hypertension Management within Primary Healthcare Settings? A Scoping Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2024; 21:90. [PMID: 38248553 PMCID: PMC10815916 DOI: 10.3390/ijerph21010090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Revised: 12/29/2023] [Accepted: 01/10/2024] [Indexed: 01/23/2024]
Abstract
Telehealth has improved patient access to healthcare services and has been shown to have a positive impact in various healthcare settings. In any case, little is understood regarding the utilization of telehealth in hypertension management in primary healthcare (PHC) settings. This study aimed to identify and classify information about the types of interventions and types of telehealth technology in hypertension management in primary healthcare. A scoping review based on PRISMA-ScR was used in this study. We searched for articles in four databases: Pubmed, Scopus, Science Direct, and Embase in English. The selected articles were published in 2013-2023. The data were extracted, categorized, and analyzed using thematic analysis. There were 1142 articles identified and 42 articles included in this study. Regarding the proportions of studies showing varying trends in the last ten years, most studies came from the United States (US) (23.8%), were conducted in urban locations (33.3%), and had a quantitative study approach (69%). Telehealth interventions in hypertension management are dominated by telemonitoring followed by teleconsultation. Asynchronous telehealth is becoming the most widely used technology in managing hypertension in primary care settings. Telehealth in primary care hypertension management involves the use of telecommunications technology to monitor and manage blood pressure and provide medical advice and counselling remotely.
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Affiliation(s)
- Haerawati Idris
- Department of Health Administration & Policy, Faculty of Public Health, Sriwijaya University, Indralaya 30662, Indonesia
- Research Center for Public Health and Nutrition, National Research and Innovation Agency, Central Jakarta 10340, Indonesia; (W.P.N.); (T.R.); (A.K.); (A.Y.); (Y.P.); (S.N.); (N.S.); (D.R.F.)
| | - Wahyu Pudji Nugraheni
- Research Center for Public Health and Nutrition, National Research and Innovation Agency, Central Jakarta 10340, Indonesia; (W.P.N.); (T.R.); (A.K.); (A.Y.); (Y.P.); (S.N.); (N.S.); (D.R.F.)
| | - Tety Rachmawati
- Research Center for Public Health and Nutrition, National Research and Innovation Agency, Central Jakarta 10340, Indonesia; (W.P.N.); (T.R.); (A.K.); (A.Y.); (Y.P.); (S.N.); (N.S.); (D.R.F.)
| | - Asep Kusnali
- Research Center for Public Health and Nutrition, National Research and Innovation Agency, Central Jakarta 10340, Indonesia; (W.P.N.); (T.R.); (A.K.); (A.Y.); (Y.P.); (S.N.); (N.S.); (D.R.F.)
| | - Anni Yulianti
- Research Center for Public Health and Nutrition, National Research and Innovation Agency, Central Jakarta 10340, Indonesia; (W.P.N.); (T.R.); (A.K.); (A.Y.); (Y.P.); (S.N.); (N.S.); (D.R.F.)
| | - Yuni Purwatiningsih
- Research Center for Public Health and Nutrition, National Research and Innovation Agency, Central Jakarta 10340, Indonesia; (W.P.N.); (T.R.); (A.K.); (A.Y.); (Y.P.); (S.N.); (N.S.); (D.R.F.)
| | - Syarifah Nuraini
- Research Center for Public Health and Nutrition, National Research and Innovation Agency, Central Jakarta 10340, Indonesia; (W.P.N.); (T.R.); (A.K.); (A.Y.); (Y.P.); (S.N.); (N.S.); (D.R.F.)
| | - Novia Susianti
- Research Center for Public Health and Nutrition, National Research and Innovation Agency, Central Jakarta 10340, Indonesia; (W.P.N.); (T.R.); (A.K.); (A.Y.); (Y.P.); (S.N.); (N.S.); (D.R.F.)
| | - Debri Rizki Faisal
- Research Center for Public Health and Nutrition, National Research and Innovation Agency, Central Jakarta 10340, Indonesia; (W.P.N.); (T.R.); (A.K.); (A.Y.); (Y.P.); (S.N.); (N.S.); (D.R.F.)
| | - Hidayat Arifin
- Department of Basic Nursing Care, Faculty of Nursing, Universitas Airlangga, Surabaya 60286, Indonesia;
| | - Asri Maharani
- Division of Nursing, Midwifery & Social Work, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester M13 9PL, UK;
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Fonseca SF, Ribeiro ALP, Cimini CCR, Soares TBDC, Delfino-Pereira P, Nogueira LT, Moura RMF, Motta-Santos D, Ribeiro LB, Camargos MCS, Paixão MC, Pires MC, Batchelor J, Marcolino MS. Scale up of implementation of a multidimensional intervention to enhance hypertension and diabetes care at the primary care setting: A protocol for a cluster-randomized study in Brazil. Am Heart J 2023; 262:119-130. [PMID: 37044364 DOI: 10.1016/j.ahj.2023.04.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 04/04/2023] [Accepted: 04/06/2023] [Indexed: 05/21/2023]
Abstract
BACKGROUND Hypertension and diabetes mellitus (DM) are highly prevalent in low and middle-income countries (LMICs), and the proportion of patients with uncontrolled diseases is higher than in high-income countries. Innovative strategies are required to surpass barriers of low sources, distance and quality of health care. Our aim is to assess the uptake and effectiveness of the implementation of an integrated multidimensional strategy in the primary care setting, for the management of people with hypertension and diabetes mellitus in Brazil. METHODS This scale up implementation study called Control of Hypertension and diAbetes in MINas Gerais (CHArMING) Project has mixed-methods, and comprehends 4 steps: (1) needs assessment, including a standardized structured questionnaire and focus groups with health care practitioners; (2) baseline period, 3 months before the implementation of the intervention; (3) cluster randomized controlled trial (RCT) with a 12-months follow-up period; and (4) a qualitative study after the end of follow-up. The cluster RCT will randomize 35 centers to intervention (n = 18) or usual care (n = 17). Patients ≥18 years old, with diagnosis of hypertension and/or DM, of 5 Brazilian cities in a resource-constrained area will be enrolled. The intervention consists of a multifaceted strategy, with a multidisciplinary approach, including telehealth tools (decision support systems, short message service, telediagnosis), continued education with an approach to issues related to the care of people with hypertension and diabetes in primary care, including pharmacological and non-pharmacological treatment and behavioral change. The project has actions focused on professionals and patients. CONCLUSIONS This study consists of a multidimensional strategy with multidisciplinary approach using digital health to improve the control of hypertension and/or DM in the primary health care setting. We expect to provide the basis for implementing an innovative management program for hypertension and DM in Brazil, aiming to reduce the present and future burden of these diseases in Brazil and other LMICs. CLINICAL TRIAL IDENTIFIER This study was registered in ClinicalTrials.gov. (NCT05660928).
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Affiliation(s)
- Sueli Ferreira Fonseca
- Telehealth Center, University Hospital, Universidade Federal de Minas Gerais. Belo Horizonte, Brazil; Department of Physiotherapy, Universidade Federal dos Vales do Jequitinhonha e Mucuri. Diamantina, Brazil
| | - Antonio Luiz Pinho Ribeiro
- Telehealth Center, University Hospital, Universidade Federal de Minas Gerais. Belo Horizonte, Brazil; Cardiology Service, University Hospital, Universidade Federal de Minas Gerais. Belo Horizonte, Brazil.; Department of Internal Medicine, Medical School and University Hospital, Universidade Federal de Minas Gerais. Belo Horizonte, Brazil; Institute for Health Technology Assessment (IATS). Porto Alegre, Brazil
| | - Christiane Correa Rodrigues Cimini
- Telehealth Center, University Hospital, Universidade Federal de Minas Gerais. Belo Horizonte, Brazil; Medical School, Universidade Federal dos Vales do Jequitinhonha e Mucuri. Teófilo Otoni, Brazil
| | | | - Polianna Delfino-Pereira
- Telehealth Center, University Hospital, Universidade Federal de Minas Gerais. Belo Horizonte, Brazil; Department of Internal Medicine, Medical School and University Hospital, Universidade Federal de Minas Gerais. Belo Horizonte, Brazil; Institute for Health Technology Assessment (IATS). Porto Alegre, Brazil
| | - Lucas Tavares Nogueira
- Telehealth Center, University Hospital, Universidade Federal de Minas Gerais. Belo Horizonte, Brazil
| | - Regina Marcia Faria Moura
- Telehealth Center, University Hospital, Universidade Federal de Minas Gerais. Belo Horizonte, Brazil
| | - Daisy Motta-Santos
- Telehealth Center, University Hospital, Universidade Federal de Minas Gerais. Belo Horizonte, Brazil
| | - Leonardo Bonisson Ribeiro
- Telehealth Center, University Hospital, Universidade Federal de Minas Gerais. Belo Horizonte, Brazil
| | | | - Maria Cristina Paixão
- Telehealth Center, University Hospital, Universidade Federal de Minas Gerais. Belo Horizonte, Brazil
| | - Magda Carvalho Pires
- Department of Statistics, Universidade Federal de Minas Gerais. Belo Horizonte, Brazil
| | - James Batchelor
- Clinical Informatics Research Unit, University of Southampton, Southampton United Kingdom
| | - Milena Soriano Marcolino
- Telehealth Center, University Hospital, Universidade Federal de Minas Gerais. Belo Horizonte, Brazil; Department of Internal Medicine, Medical School and University Hospital, Universidade Federal de Minas Gerais. Belo Horizonte, Brazil; Institute for Health Technology Assessment (IATS). Porto Alegre, Brazil.
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Fang L, Sheng H, Tan Y, Zhang Q. Prevalence of diabetes in the USA from the perspective of demographic characteristics, physical indicators and living habits based on NHANES 2009-2018. Front Endocrinol (Lausanne) 2023; 14:1088882. [PMID: 36960397 PMCID: PMC10028205 DOI: 10.3389/fendo.2023.1088882] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Accepted: 02/21/2023] [Indexed: 03/09/2023] Open
Abstract
OBJECTIVE To determine differences in DM in the U.S. population according to demographic characteristics, physical indicators and living habits. METHODS 23 546 participants in the 2009 to 2018 National Health and Nutrition Examination Survey (NHANES) who were 20 year of age or older and not pregnant. All analyses used weighted samples and considered the stratification and clustering of the design. Specific indicators include length of leg (cm), BMI (kg/cm2), TCHOL (mg/dL), fasting plasma glucose (mg/dL) and comparison of means and the proportion of participants with DM. RESULTS The prevalence of DM in the USA has been rising modestly in the past decade, and were consistent and robust for the observed differences in age, sex, and ethnicity. Compared with white participants, black participants and Mexican-American were both more likely (P<0.001) to have diabetes: 14.6% (CI, 13.6% to 15.6%) among black participants, 10.6% (CI, 9.9% to 11.3%) among white participants, and 13.5% (CI, 11.9% to 15.2%) among Mexican-American participants. The prevalence of diabetes is increasing with age, males peaked around the 60s, and women around the 70s. The overall mean leg length and TCHOL was lower in diabetics than in non-diabetics (1.07 cm, 18.67 mg/dL, respectively), while mean BMI were higher in diabetics than in non-diabetics (4.27 kg/cm2). DM had the greatest effect on decline of TCHOL in white participants (23.6 mg/dL), less of an effect in black participants (9.67 mg/dL), and the least effect in Mexican-American participants (8.25 mg/dL). Notably, smoking had great effect on percent increment of DM in whites (0.2%), and have little effect on black and Mexican-Americans. CONCLUSIONS DM is more common in the general population than might be clinically recognized, and the prevalence of DM was associated to varying degrees with many indicators of demographic characteristics, physical indicators, and living habits. These indicators should be linked with medical resource allocation and scientific treatment methods to comprehensively implement the treatment of DM.
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Affiliation(s)
- Ling Fang
- Shaanxi Key Laboratory of Chinese Medicine Encephalopathy, Shaanxi University of Chinese Medicine, Xianyang, China
| | - Huafang Sheng
- Department of Laboratory Medicine, Zhujiang Hospital of Southern Medical University, Guangzhou, China
| | - Yingying Tan
- Shaanxi Key Laboratory of Chinese Medicine Encephalopathy, Shaanxi University of Chinese Medicine, Xianyang, China
| | - Qi Zhang
- Shaanxi Key Laboratory of Chinese Medicine Encephalopathy, Shaanxi University of Chinese Medicine, Xianyang, China
- *Correspondence: Qi Zhang,
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