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Wang J, Tan F, Wang Z, Yu Y, Yang J, Wang Y, Shao R, Yin X. Understanding Gaps in the Hypertension and Diabetes Care Cascade: Systematic Scoping Review. JMIR Public Health Surveill 2024; 10:e51802. [PMID: 38149840 PMCID: PMC10907944 DOI: 10.2196/51802] [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: 08/15/2023] [Revised: 10/22/2023] [Accepted: 12/27/2023] [Indexed: 12/28/2023] Open
Abstract
BACKGROUND Hypertension and diabetes are global health challenges requiring effective management to mitigate their considerable burden. The successful management of hypertension and diabetes requires the completion of a sequence of stages, which are collectively termed the care cascade. OBJECTIVE This scoping review aimed to describe the characteristics of studies on the hypertension and diabetes care cascade and identify potential interventions as well as factors that impact each stage of the care cascade. METHODS The method of this scoping review has been guided by the framework by Arksey and O'Malley. We systematically searched MEDLINE, Embase, and Web of Science using terms pertinent to hypertension, diabetes, and specific stages of the care cascade. Articles published after 2011 were considered, and we included all studies that described the completion of at least one stage of the care cascade of hypertension and diabetes. Study selection was independently performed by 2 paired authors. Descriptive statistics were used to elucidate key patterns and trends. Inductive content analysis was performed to generate themes regarding the barriers and facilitators for improving the care cascade in hypertension and diabetes management. RESULTS A total of 128 studies were included, with 42.2% (54/128) conducted in high-income countries. Of them, 47 (36.7%) focused on hypertension care, 63 (49.2%) focused on diabetes care, and only 18 (14.1%) reported on the care of both diseases. The majority (96/128, 75.0%) were observational in design. Cascade stages documented in the literature were awareness, screening, diagnosis, linkage to care, treatment, adherence to medication, and control. Most studies focused on the stages of treatment and control, while a relative paucity of studies examined the stages before treatment initiation (76/128, 59.4% vs 52/128, 40.6%). There was a wide spectrum of interventions aimed at enhancing the hypertension and diabetes care cascade. The analysis unveiled a multitude of individual-level and system-level factors influencing the successful completion of cascade sequences in both high-income and low- and middle-income settings. CONCLUSIONS This review offers a comprehensive understanding of hypertension and diabetes management, emphasizing the pivotal factors that impact each stage of care. Future research should focus on upstream cascade stages and context-specific interventions to optimize patient retention and care outcomes.
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Affiliation(s)
- Jie Wang
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Fangqin Tan
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Zhenzhong Wang
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Yiwen Yu
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Jingsong Yang
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Yueqing Wang
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Ruitai Shao
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Xuejun Yin
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- The George Institute for Global Health, University of New South Wales, Sydney, Australia
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Konnyu KJ, Yogasingam S, Lépine J, Sullivan K, Alabousi M, Edwards A, Hillmer M, Karunananthan S, Lavis JN, Linklater S, Manns BJ, Moher D, Mortazhejri S, Nazarali S, Paprica PA, Ramsay T, Ryan PM, Sargious P, Shojania KG, Straus SE, Tonelli M, Tricco A, Vachon B, Yu CH, Zahradnik M, Trikalinos TA, Grimshaw JM, Ivers N. Quality improvement strategies for diabetes care: Effects on outcomes for adults living with diabetes. Cochrane Database Syst Rev 2023; 5:CD014513. [PMID: 37254718 PMCID: PMC10233616 DOI: 10.1002/14651858.cd014513] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
BACKGROUND There is a large body of evidence evaluating quality improvement (QI) programmes to improve care for adults living with diabetes. These programmes are often comprised of multiple QI strategies, which may be implemented in various combinations. Decision-makers planning to implement or evaluate a new QI programme, or both, need reliable evidence on the relative effectiveness of different QI strategies (individually and in combination) for different patient populations. OBJECTIVES To update existing systematic reviews of diabetes QI programmes and apply novel meta-analytical techniques to estimate the effectiveness of QI strategies (individually and in combination) on diabetes quality of care. SEARCH METHODS We searched databases (CENTRAL, MEDLINE, Embase and CINAHL) and trials registers (ClinicalTrials.gov and WHO ICTRP) to 4 June 2019. We conducted a top-up search to 23 September 2021; we screened these search results and 42 studies meeting our eligibility criteria are available in the awaiting classification section. SELECTION CRITERIA We included randomised trials that assessed a QI programme to improve care in outpatient settings for people living with diabetes. QI programmes needed to evaluate at least one system- or provider-targeted QI strategy alone or in combination with a patient-targeted strategy. - System-targeted: case management (CM); team changes (TC); electronic patient registry (EPR); facilitated relay of clinical information (FR); continuous quality improvement (CQI). - Provider-targeted: audit and feedback (AF); clinician education (CE); clinician reminders (CR); financial incentives (FI). - Patient-targeted: patient education (PE); promotion of self-management (PSM); patient reminders (PR). Patient-targeted QI strategies needed to occur with a minimum of one provider or system-targeted strategy. DATA COLLECTION AND ANALYSIS We dual-screened search results and abstracted data on study design, study population and QI strategies. We assessed the impact of the programmes on 13 measures of diabetes care, including: glycaemic control (e.g. mean glycated haemoglobin (HbA1c)); cardiovascular risk factor management (e.g. mean systolic blood pressure (SBP), low-density lipoprotein cholesterol (LDL-C), proportion of people living with diabetes that quit smoking or receiving cardiovascular medications); and screening/prevention of microvascular complications (e.g. proportion of patients receiving retinopathy or foot screening); and harms (e.g. proportion of patients experiencing adverse hypoglycaemia or hyperglycaemia). We modelled the association of each QI strategy with outcomes using a series of hierarchical multivariable meta-regression models in a Bayesian framework. The previous version of this review identified that different strategies were more or less effective depending on baseline levels of outcomes. To explore this further, we extended the main additive model for continuous outcomes (HbA1c, SBP and LDL-C) to include an interaction term between each strategy and average baseline risk for each study (baseline thresholds were based on a data-driven approach; we used the median of all baseline values reported in the trials). Based on model diagnostics, the baseline interaction models for HbA1c, SBP and LDL-C performed better than the main model and are therefore presented as the primary analyses for these outcomes. Based on the model results, we qualitatively ordered each QI strategy within three tiers (Top, Middle, Bottom) based on its magnitude of effect relative to the other QI strategies, where 'Top' indicates that the QI strategy was likely one of the most effective strategies for that specific outcome. Secondary analyses explored the sensitivity of results to choices in model specification and priors. Additional information about the methods and results of the review are available as Appendices in an online repository. This review will be maintained as a living systematic review; we will update our syntheses as more data become available. MAIN RESULTS We identified 553 trials (428 patient-randomised and 125 cluster-randomised trials), including a total of 412,161 participants. Of the included studies, 66% involved people living with type 2 diabetes only. Participants were 50% female and the median age of participants was 58.4 years. The mean duration of follow-up was 12.5 months. HbA1c was the commonest reported outcome; screening outcomes and outcomes related to cardiovascular medications, smoking and harms were reported infrequently. The most frequently evaluated QI strategies across all study arms were PE, PSM and CM, while the least frequently evaluated QI strategies included AF, FI and CQI. Our confidence in the evidence is limited due to a lack of information on how studies were conducted. Four QI strategies (CM, TC, PE, PSM) were consistently identified as 'Top' across the majority of outcomes. All QI strategies were ranked as 'Top' for at least one key outcome. The majority of effects of individual QI strategies were modest, but when used in combination could result in meaningful population-level improvements across the majority of outcomes. The median number of QI strategies in multicomponent QI programmes was three. Combinations of the three most effective QI strategies were estimated to lead to the below effects: - PR + PSM + CE: decrease in HbA1c by 0.41% (credibility interval (CrI) -0.61 to -0.22) when baseline HbA1c < 8.3%; - CM + PE + EPR: decrease in HbA1c by 0.62% (CrI -0.84 to -0.39) when baseline HbA1c > 8.3%; - PE + TC + PSM: reduction in SBP by 2.14 mmHg (CrI -3.80 to -0.52) when baseline SBP < 136 mmHg; - CM + TC + PSM: reduction in SBP by 4.39 mmHg (CrI -6.20 to -2.56) when baseline SBP > 136 mmHg; - TC + PE + CM: LDL-C lowering of 5.73 mg/dL (CrI -7.93 to -3.61) when baseline LDL < 107 mg/dL; - TC + CM + CR: LDL-C lowering by 5.52 mg/dL (CrI -9.24 to -1.89) when baseline LDL > 107 mg/dL. Assuming a baseline screening rate of 50%, the three most effective QI strategies were estimated to lead to an absolute improvement of 33% in retinopathy screening (PE + PR + TC) and 38% absolute increase in foot screening (PE + TC + Other). AUTHORS' CONCLUSIONS There is a significant body of evidence about QI programmes to improve the management of diabetes. Multicomponent QI programmes for diabetes care (comprised of effective QI strategies) may achieve meaningful population-level improvements across the majority of outcomes. For health system decision-makers, the evidence summarised in this review can be used to identify strategies to include in QI programmes. For researchers, this synthesis identifies higher-priority QI strategies to examine in further research regarding how to optimise their evaluation and effects. We will maintain this as a living systematic review.
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Affiliation(s)
- Kristin J Konnyu
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Canada
| | - Sharlini Yogasingam
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Canada
| | - Johanie Lépine
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Canada
| | - Katrina Sullivan
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Canada
| | | | - Alun Edwards
- Department of Medicine, University of Calgary, Calgary, Canada
| | - Michael Hillmer
- Institute for Health Policy, Management, and Evaluation, University of Toronto, Toronto, Canada
| | - Sathya Karunananthan
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Canada
- Interdisciplinary School of Health Sciences, University of Ottawa, Ottawa, Canada
| | - John N Lavis
- McMaster Health Forum, Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Canada
| | - Stefanie Linklater
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Canada
| | - Braden J Manns
- Department of Medicine and Community Health Sciences, University of Calgary, Calgary, Canada
| | - David Moher
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Canada
| | - Sameh Mortazhejri
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Canada
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Canada
| | - Samir Nazarali
- Department of Ophthalmology and Visual Sciences, University of Alberta, Edmonton, Canada
| | - P Alison Paprica
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada
| | - Timothy Ramsay
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Canada
| | | | - Peter Sargious
- Department of Medicine, University of Calgary, Calgary, Canada
| | - Kaveh G Shojania
- University of Toronto Centre for Patient Safety, Sunnybrook Health Sciences Centre, Toronto, Canada
| | - Sharon E Straus
- Knowledge Translation Program, Li Ka Shing Knowledge Institute, St. Michael's Hospital and University of Toronto, Toronto, Canada
| | - Marcello Tonelli
- Department of Medicine and Community Health Sciences, University of Calgary, Calgary, Canada
| | - Andrea Tricco
- Knowledge Translation Program, Li Ka Shing Knowledge Institute, St. Michael's Hospital and University of Toronto, Toronto, Canada
- Epidemiology Division and Institute of Health Policy, Management, and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
- Queen's Collaboration for Health Care Quality: A JBI Centre of Excellence, Queen's University, Kingston, Canada
| | - Brigitte Vachon
- School of Rehabilitation, Occupational Therapy Program, University of Montreal, Montreal, Canada
| | - Catherine Hy Yu
- Department of Medicine, St. Michael's Hospital, Toronto, Canada
| | - Michael Zahradnik
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Canada
| | - Thomas A Trikalinos
- Departments of Health Services, Policy, and Practice and Biostatistics, Center for Evidence Synthesis in Health, Brown University School of Public Health, Providence, Rhode Island, USA
| | - Jeremy M Grimshaw
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Canada
- Department of Medicine, University of Ottawa, Ottawa, Canada
| | - Noah Ivers
- Department of Family and Community Medicine, Women's College Hospital, Toronto, Canada
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Sukartini T, Nursalam N, Pradipta RO, Ubudiyah M. Potential Methods to Improve Self-management in Those with Type 2 Diabetes: A Narrative Review. Int J Endocrinol Metab 2023; 21:e119698. [PMID: 37038539 PMCID: PMC10082325 DOI: 10.5812/ijem-119698] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Revised: 12/14/2022] [Accepted: 12/20/2022] [Indexed: 01/09/2023] Open
Abstract
CONTEXT The ability of self-manage was important for type 2 diabetes mellitus (T2DM) patients and it was supported and depend on the method used. We aimed to summarize the potential method of self-management to improve self-empowerment. EVIDENCE ACQUISITION To obtain the related data, 5 databases, including Scopus, Science Direct, ProQuest, CINAHL, and SAGE, were comprehensively searched. The search was done in advance using the Boolean operator. The full texts of articles presenting data on self-management methods were screened and retrieved. RESULTS A total of 22 studies were included in this review. Various self-management techniques were covered with primary and secondary outcomes. Primary outcomes included blood pressure, fasting blood glucose (FBG), low-density lipoprotein (LDL), and high-density lipoprotein (HDL). Secondary outcomes included knowledge, self-efficacy, lifestyle habits, physical activity, diet, smoking, medical treatment, support, and health behavior. A goal-setting-oriented approach was effective in setting targets and gaining support from family members. A family-centered approach was effective in taking care of and taking good care of patients with T2DM. Strength training exercises provide patients with a choice of physical activity that can help them manage their blood sugar and blood pressure. Acceptance and commitment therapy (ACT) is a stress-reduction technique. The patient's acceptance of the disease and treatment for diabetes is aided by education. CONCLUSIONS A successful self-management method was one which balances and adapts to the patient's condition. Regardless of the age of the patients, the overall findings from the review suggest that self-management methods can help patients become healthier and improve their quality of life by controlling their hemoglobin A1c (HbA1c) level.
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Affiliation(s)
- Tintin Sukartini
- Departement of Advance Nursing, Faculty of Nursing, Universitas Airlangga, Surabaya, East Java, Indonesia
- Corresponding Author: Departement of Advance Nursing, Faculty of Nursing, Universitas Airlangga, Surabaya, East Java, Indonesia.
| | - Nursalam Nursalam
- Departement of Advance Nursing, Faculty of Nursing, Universitas Airlangga, Surabaya, East Java, Indonesia
| | - Rifky Octavia Pradipta
- Departement of Fundamental Nursing, Faculty of Nursing, Universitas Airlangga, Surabaya, East Java, Indonesia
| | - Masunatul Ubudiyah
- Department of Nursing, Faculty of Health Sciences, Universitas Muhammadiyah Lamongan, East Java, Indonesia
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Othman MM, Khudadad H, Dughmosh R, Furuya-Kanamori L, Abou-Samra AB, Doi SAR. Towards a better understanding of self-management interventions in type 2 diabetes: A concept analysis. Prim Care Diabetes 2022; 16:142-149. [PMID: 34556438 DOI: 10.1016/j.pcd.2021.09.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Revised: 08/22/2021] [Accepted: 09/06/2021] [Indexed: 11/25/2022]
Abstract
OBJECTIVES Diabetes self-management educational (DSME) interventions can vary considerably, and it is unclear what is the operational conceptualization of the ideal delivery to individuals with type 2 diabetes (T2D). DESIGN From a search conducted concurrently we extracted and evaluated the 50 most recently published DSME intervention studies. Based on an analysis of these studies, we undertook a concept analysis using the Walker and Avant framework. RESULTS Five attributes describing the concept were recognized and organized into two groups. Group (a): skills related attributes that included (1) decision making, (2) problem solving and (3) taking action. Group (b): information related attributes that included (4) patient-provider interaction and (5) resource utilization. CONCLUSIONS The outcomes of this study make the operational conceptualization of the ideal DSME intervention measurable through its attributes and hence clarifies its delivery. This will improve the implementation of the key attributes in diabetes self-management intervention programs for T2D.
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Affiliation(s)
- Manal M Othman
- Department of Population Medicine, College of Medicine, QU Health, Qatar University, Doha, Qatar; Medicine Department, Hamad General Hospital, Doha, Qatar.
| | - Hanan Khudadad
- Department of Clinical Research, Primary Health Care Corporation, Doha, Qatar.
| | - Ragae Dughmosh
- Medicine Department, Hamad General Hospital, Doha, Qatar.
| | - Luis Furuya-Kanamori
- UQ Centre for Clinical Research, Faculty of Medicine, The University of Queensland, Herston, Queensland, Australia.
| | - Abdul-Badi Abou-Samra
- Qatar Metabolic Institute and Medicine Department, Hamad Medical Corporation, Doha, Qatar.
| | - Suhail A R Doi
- Department of Population Medicine, College of Medicine, QU Health, Qatar University, Doha, Qatar.
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Othman MM, Khudadad H, Dughmosh R, Syed A, Clark J, Furuya-Kanamori L, Abou-Samra AB, Doi SAR. Towards a better understanding of self-management interventions in type 2 diabetes: A meta-regression analysis. Prim Care Diabetes 2021; 15:985-994. [PMID: 34217643 DOI: 10.1016/j.pcd.2021.06.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2021] [Revised: 05/31/2021] [Accepted: 06/17/2021] [Indexed: 01/15/2023]
Abstract
AIMS Attributes that operationally conceptualize diabetes self-management education (DSME) interventions have never been studied previously to assess their impact on relevant outcomes of interest in people with type 2 diabetes (T2D). The aim of this study was to determine the impact of existing interventions classified by their delivery of skills or information related attributes on immediate (knowledge), intermediate (physical activity), post-intermediate (HbA1c), and long-term (quality of life) outcomes in people with T2D. METHODS PubMed, Embase, PsycINFO, and Cochrane Library/Cochrane CENTRAL as well as the grey literature were searched to identify interventional studies that examined the impact of DSME interventions on the four different outcomes. Eligible studies were selected and appraised independently by two reviewers. A meta-regression analysis was performed to determine the impact of delivery of the skills- and information-related attributes on the chosen outcomes. RESULTS 142 studies (n = 25,511 participants) provided data, of which 39 studies (n = 5278) reported on knowledge, 39 studies (n = 8323) on physical activity, 99 studies (n = 17,178) on HbA1c and 24 studies (n = 5147) on quality of life outcomes. Meta-regression analyses demonstrated that skills-related attributes had an estimated effect suggesting improvement in knowledge (SMD [standardized mean difference] increase of 0.80; P = 0.025) and that information-related attributes had an estimated effect suggesting improvement in quality of life (SMD increase of 0.96; P = 0.405). Skill- and information-related attributes did not have an estimated effect suggesting improvement in physical activity or in HbA1c. CONCLUSIONS The study findings demonstrate that the skills and information related attributes contribute to different outcomes for people with T2D. This study provides, for the first time, preliminary evidence for differential association of the individual DSME attributes with different levels of outcome.
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Affiliation(s)
- Manal M Othman
- Department of Population Medicine, College of Medicine, QU Health, Qatar University, Doha, Qatar; Medicine Department, Hamad Medical Corporation, Doha, Qatar.
| | - Hanan Khudadad
- Department of Clinical Research, Primary Health Care Corporation, Doha, Qatar.
| | - Ragae Dughmosh
- Medicine Department, Hamad Medical Corporation, Doha, Qatar.
| | - Asma Syed
- Department of Population Medicine, College of Medicine, QU Health, Qatar University, Doha, Qatar.
| | - Justin Clark
- The Centre for Research into Evidence Based Practice, Bond University, Gold Coast, Queensland, Australia.
| | - Luis Furuya-Kanamori
- UQ Centre for Clinical Research, Faculty of Medicine, The University of Queensland, Herston, Queensland, Australia.
| | - Abdul-Badi Abou-Samra
- Qatar Metabolic Institute and Medicine Department, Hamad Medical Corporation, Doha, Qatar.
| | - Suhail A R Doi
- Department of Population Medicine, College of Medicine, QU Health, Qatar University, Doha, Qatar.
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Martos-Cabrera MB, Gómez-Urquiza JL, Cañadas-González G, Romero-Bejar JL, Suleiman-Martos N, Cañadas-De la Fuente GA, Albendín-García L. Nursing-Intense Health Education Intervention for Persons with Type 2 Diabetes: A Quasi-Experimental Study. Healthcare (Basel) 2021; 9:832. [PMID: 34356210 PMCID: PMC8307700 DOI: 10.3390/healthcare9070832] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Revised: 06/23/2021] [Accepted: 06/25/2021] [Indexed: 11/04/2022] Open
Abstract
Type 2 diabetes mellitus (DM2) is a highly prevalent disease, the progression of which depends on high blood glucose levels, which are reflected in the level of glycosylated haemoglobin (HbA1c). Appropriate health education equips patients with the knowledge and skills to control their glucose and HbA1c levels to avoid long-term complications. This study was set up to compare the results of an intensive (360 min) educational intervention to improve HbA1c parameters in patients with DM2 with those of a usual 90 min intervention. For this purpose, healthcare personnel led a quasi-experimental study of 249 diabetics: 171 in the control group, and 78 in the intervention group. In the control group, the mean HbA1c value decreased from 6.97 to 6.75, while in intervention group it fell from 8.97 to 8.06. The before and after mean difference between both groups was compared with a Wilcoxon test, and the results statistically significant (W = 4530; p < 0.001), indicating a higher reduction of HbA1c in the intervention group. We concluded that the intensive health education provided by nurses during the consultation helped improve HBA1c levels in persons with DM2.
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Affiliation(s)
- María Begoña Martos-Cabrera
- Neonatal Intensive Care Unit, University Hospital San Cecilio, Avenida del Conocimiento, 18016 Granada, Spain;
| | - José Luis Gómez-Urquiza
- Faculty of Health Sciences, University of Granada, Avenida de la Ilustración, 60, 18016 Granada, Spain; (J.L.G.-U.); (N.S.-M.); (G.A.C.-D.l.F.)
| | - Guillermo Cañadas-González
- Support Device South Area of Cordoba, Andalusian Health Service, Av. Góngora, 9B, Cabra, 14940 Córdoba, Spain;
| | - José Luis Romero-Bejar
- Department of Statistics and Operational Research, University of Granada, 18071 Granada, Spain
| | - Nora Suleiman-Martos
- Faculty of Health Sciences, University of Granada, Avenida de la Ilustración, 60, 18016 Granada, Spain; (J.L.G.-U.); (N.S.-M.); (G.A.C.-D.l.F.)
| | | | - Luis Albendín-García
- Casería de Montijo Health Center, Granada Metropolitan District, Andalusian Health Service, Calle Virgen de la Consolación, 12, 18015 Granada, Spain;
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Rawal L, Sahle BW, Smith BJ, Kanda K, Owusu-Addo E, Renzaho AMN. Lifestyle interventions for type 2 diabetes management among migrants and ethnic minorities living in industrialized countries: a systematic review and meta-analyses. BMJ Open Diabetes Res Care 2021; 9:e001924. [PMID: 33879514 PMCID: PMC8061857 DOI: 10.1136/bmjdrc-2020-001924] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Revised: 02/06/2021] [Accepted: 03/08/2021] [Indexed: 12/17/2022] Open
Abstract
The objective of this systematic review was to determine the effectiveness of lifestyle interventions to improve the management of type 2 diabetes mellitus (T2DM) among migrants and ethnic minorities. Major searched databases included MEDLINE (via PubMed), EMBASE (via Ovid) and CINAHL. The selection of studies and data extraction followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. In the meta-analysis, significant heterogeneity was detected among the studies (I2 >50%), and hence a random effects model was used. Subgroup analyses were performed to compare the effect of lifestyle interventions according to intervention approaches (peer-led vs community health workers (CHWs)-led). A total of 17 studies were included in this review which used interventions delivered by CHWs or peer supporters or combination of both. The majority of the studies assessed effectiveness of key primary (hemoglobin (HbA1c), lipids, fasting plasma glucose) and secondary outcomes (weight, body mass index, blood pressure, physical activity, alcohol consumption, tobacco smoking, food habits and healthcare utilization). Meta-analyses showed lifestyle interventions were associated with a small but statistically significant reduction in HbA1c level (-0.18%; 95% CI -0.32% to -0.04%, p=0.031). In subgroup analyses, the peer-led interventions showed relatively better HbA1c improvement than CHW-led interventions, but the difference was not statistically significant (p=0.379). Seven studies presented intervention costs, which ranged from US$131 to US$461 per participant per year. We conclude that lifestyle interventions using either CHWs or peer supporters or a combination of both have shown modest effectiveness for T2DM management among migrants of different background and origin and ethnic minorities. The evidence base is promising in terms of developing culturally appropriate, clinically sound and cost-effective intervention approaches to respond to the growing and diverse migrants and ethnic minorities affected by diabetes worldwide.
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Affiliation(s)
- Lal Rawal
- School of Health Medical and Applied Sciences, Collage of Science and Sustainability, Central Queensland University-Sydney Campus, Sydney, New South Wales, Australia
- Physical Activity Research Group, Appleton Institute, Central Queensland University, Adelaide, South Australia, Australia
- Translational Health Research Institute (THRI), Western Sydney University, Sydney, New South Wales, Australia
- School of Social Sciences, Western Sydney University, Sydney, New South Wales, Australia
| | - Berhe W Sahle
- Centre for Mental Health, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
- School of Nursing and Midwifery, Deakin University, Geelong, Victoria, Australia
- Centre for Quality and Patient Safety Research (QPS), Alfred Health Partnership, Melbourne, Victoria, Australia
| | - Ben J Smith
- Prevention and Health Promotion, The University of Sydney School of Public Health, Sydney, New South Wales, Australia
| | - Kie Kanda
- School of Nursing and Midwifery, Western Sydney University, Liverpool, New South Wales, Australia
| | - Ebenezer Owusu-Addo
- Bureau of Integrated Rural Development, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Andre M N Renzaho
- Translational Health Research Institute (THRI), Western Sydney University, Sydney, New South Wales, Australia
- School of Medicine, Western Sydney University, Sydney, New South Wales, Australia
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Bayón Cabeza M, Pérez Rivas FJ, Zamora Sarabia AL, de Las Heras Mosteiro J, Becerril Rojas B, Rodriguez Barrientos R. [Diabetic patient control in Primary Care: Influence of service portfolio and other factors]. Aten Primaria 2020; 52:617-626. [PMID: 32576384 PMCID: PMC7713397 DOI: 10.1016/j.aprim.2020.02.015] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2019] [Revised: 11/30/2019] [Accepted: 02/13/2020] [Indexed: 11/24/2022] Open
Abstract
OBJECTIVE To study the effect of the type of follow-up according to Service Portfolio and other associated factors, in the reduction of HbA1c levels in people with a new diagnosis of type 2 diabetes and poor initial control. DESIGN Analytical observational study of a cohort under routine clinical practice conditions. LOCATION 262 Primary Health Care Centres in Madrid. PARTICIPANTS 1,838 individuals older than 18 years with a new diagnosis of type 2 DM and initial HbA1c levels ≥ 7%, or ≥ 8.5% if older than 75 years. INTERVENTIONS The exposure variable was the type of follow-up according to Portfolio, categorised as minimum, medium, and optimal, according to the number of interventions performed and periodicity of type of therapeutic-pharmacological plan. MAIN MEASUREMENTS A study was made of the comorbidity, therapeutic-pharmacological plan, diet - exercise advice and deprivation index. The main outcome was the difference between the final and initial HbA1c. RESULTS After 2 years of follow-up there was a mean decrease in HbA1c by -1.7 percentage points (95% CI: -1.6;-1.8), which was 0.36 points higher in patients with optimal follow-up: -2.1 (95% CI: -1.7;-2.4). The factors associated with a decrease in HbA1c were the optimal follow-up -0.29 (95% CI: -0.5;-0.1), the medium follow-up -0.26 (95% CI: -0.5; -0.0), and the initial HbA1c value -0.9 (95% CI: -0.9; -0.9. The factors associated with the increase were insulin treatment and living in socially disadvantaged areas. CONCLUSIONS Glycaemic control was improved in patients with a new diagnosis of diabetes in which optimal follow-up is performed as proposed in the Service Portfolio.
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Affiliation(s)
- Marianela Bayón Cabeza
- Dirección Técnica de Procesos y Calidad, Gerencia Asistencial de Atención Primaria, Servicio Madrileño de Salud, Comunidad de Madrid, Madrid, España.
| | - Francisco Javier Pérez Rivas
- Dirección Técnica de Procesos y Calidad, Gerencia Asistencial de Atención Primaria, Servicio Madrileño de Salud, Comunidad de Madrid, Madrid, España; Departamento de Enfermería, Facultad de Enfermería, Fisioterapia y Podología, Universidad Complutense de Madrid, Madrid, España
| | | | - Julio de Las Heras Mosteiro
- Departamento de Medicina Preventiva, Salud Pública, e Inmunología y Microbiología, Universidad Rey Juan Carlos, Madrid, España
| | - Beatriz Becerril Rojas
- Unidad de Apoyo Técnico, Gerencia Adjunta de Procesos Asistenciales, Gerencia Asistencial de Atención Primaria, Servicio Madrileño de Salud, Comunidad de Madrid, Madrid, España
| | - Ricardo Rodriguez Barrientos
- Unidad de apoyo a la investigación, Gerencia Asistencial de Atención Primaria, Servicio Madrileño de Salud, Comunidad de Madrid, Madrid, España; Investigación en Servicios de Salud y Enfermedades Crónicas (REDISSEC), Madrid, España
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Dineen-Griffin S, Garcia-Cardenas V, Williams K, Benrimoj SI. Helping patients help themselves: A systematic review of self-management support strategies in primary health care practice. PLoS One 2019; 14:e0220116. [PMID: 31369582 PMCID: PMC6675068 DOI: 10.1371/journal.pone.0220116] [Citation(s) in RCA: 211] [Impact Index Per Article: 42.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2018] [Accepted: 07/09/2019] [Indexed: 12/11/2022] Open
Abstract
Background Primary health professionals are well positioned to support the delivery of patient self-management in an evidence-based, structured capacity. A need exists to better understand the active components required for effective self-management support, how these might be delivered within primary care, and the training and system changes that would subsequently be needed. Objectives (1) To examine self-management support interventions in primary care on health outcomes for a wide range of diseases compared to usual standard of care; and (2) To identify the effective strategies that facilitate positive clinical and humanistic outcomes in this setting. Method A systematic review of randomized controlled trials evaluating self-management support interventions was conducted following the Cochrane handbook & PRISMA guidelines. Published literature was systematically searched from inception to June 2019 in PubMed, Scopus and Web of Science. Eligible studies assessed the effectiveness of individualized interventions with follow-up, delivered face-to-face to adult patients with any condition in primary care, compared with usual standard of care. Matrices were developed that mapped the evidence and components for each intervention. The methodological quality of included studies were appraised. Results 6,510 records were retrieved. 58 studies were included in the final qualitative synthesis. Findings reveal a structured patient-provider exchange is required in primary care (including a one-on-one patient-provider consultation, ongoing follow up and provision of self-help materials). Interventions should be tailored to patient needs and may include combinations of strategies to improve a patient’s disease or treatment knowledge; independent monitoring of symptoms, encouraging self-treatment through a personalized action plan in response worsening symptoms or exacerbations, psychological coping and stress management strategies, and enhancing responsibility in medication adherence and lifestyle choices. Follow-up may include tailored feedback, monitoring of progress with respect to patient set healthcare goals, or honing problem-solving and decision-making skills. Theoretical models provided a strong base for effective SMS interventions. Positive outcomes for effective SMS included improvements in clinical indicators, health-related quality of life, self-efficacy (confidence to self-manage), disease knowledge or control. An SMS model has been developed which sets the foundation for the design and evaluation of practical strategies for the construct of self-management support interventions in primary healthcare practice. Conclusions These findings provide primary care professionals with evidence-based strategies and structure to deliver SMS in practice. For this collaborative partnership approach to be more widely applied, future research should build on these findings for optimal SMS service design and upskilling healthcare providers to effectively support patients in this collaborative process.
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Affiliation(s)
- Sarah Dineen-Griffin
- Graduate School of Health, University of Technology Sydney, Sydney, Australia
- * E-mail:
| | | | - Kylie Williams
- Graduate School of Health, University of Technology Sydney, Sydney, Australia
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