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Moon JS, Kang S, Choi JH, Lee KA, Moon JH, Chon S, Kim DJ, Kim HJ, Seo JA, Kim MK, Lim JH, Song YJ, Yang YS, Kim JH, Lee YB, Noh J, Hur KY, Park JS, Rhee SY, Kim HJ, Kim HM, Ko JH, Kim NH, Kim CH, Ahn J, Oh TJ, Kim SK, Kim J, Han E, Jin SM, Bae J, Jeon E, Kim JM, Kang SM, Park JH, Yun JS, Cha BS, Moon MK, Lee BW. 2023 Clinical Practice Guidelines for Diabetes Management in Korea: Full Version Recommendation of the Korean Diabetes Association. Diabetes Metab J 2024; 48:546-708. [PMID: 39091005 DOI: 10.4093/dmj.2024.0249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2024] [Accepted: 06/20/2024] [Indexed: 08/04/2024] Open
Affiliation(s)
- Jun Sung Moon
- Department of Internal Medicine, Yeungnam University College of Medicine, Daegu, Korea
| | - Shinae Kang
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Jong Han Choi
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Korea
| | - Kyung Ae Lee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Jeonbuk National University Hospital, Jeonbuk National University Medical School, Jeonju, Korea
| | - Joon Ho Moon
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Suk Chon
- Department of Endocrinology and Metabolism, College of Medicine, Kyung Hee University, Seoul, Korea
| | - Dae Jung Kim
- Department of Endocrinology and Metabolism, Ajou University Hospital, Ajou University School of Medicine, Suwon, Korea
| | - Hyun Jin Kim
- Department of Internal Medicine, Chungnam National University Hospital, Chungnam National University College of Medicine, Daejeon, Korea
| | - Ji A Seo
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Korea
| | - Mee Kyoung Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Yeouido St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Jeong Hyun Lim
- Department of Food Service and Nutrition Care, Seoul National University Hospital, Seoul, Korea
| | - Yoon Ju Song
- Department of Food Science and Nutrition, The Catholic University of Korea, Bucheon, Korea
| | - Ye Seul Yang
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Jae Hyeon Kim
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - You-Bin Lee
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Junghyun Noh
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Inje University Ilsan Paik Hospital, Inje University College of Medicine, Goyang, Korea
| | - Kyu Yeon Hur
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jong Suk Park
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Sang Youl Rhee
- Department of Endocrinology and Metabolism, College of Medicine, Kyung Hee University, Seoul, Korea
| | - Hae Jin Kim
- Department of Endocrinology and Metabolism, Ajou University Hospital, Ajou University School of Medicine, Suwon, Korea
| | - Hyun Min Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Chung-Ang University College of Medicine, Seoul, Korea
| | - Jung Hae Ko
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Inje University Haeundae Paik Hospital, Inje University College of Medicine, Busan, Korea
| | - Nam Hoon Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Korea
| | - Chong Hwa Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Sejong General Hospital, Bucheon, Korea
| | - Jeeyun Ahn
- Department of Ophthalmology, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea
| | - Tae Jung Oh
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Soo-Kyung Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Korea
| | - Jaehyun Kim
- Department of Pediatrics, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Eugene Han
- Department of Internal Medicine, Keimyung University School of Medicine, Daegu, Korea
| | - Sang-Man Jin
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jaehyun Bae
- Department of Internal Medicine, Hallym University Kangnam Sacred Heart Hospital, College of Medicine, Hallym University, Seoul, Korea
| | - Eonju Jeon
- Department of Internal Medicine, Daegu Catholic University School of Medicine, Daegu, Korea
| | - Ji Min Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Chungnam National University College of Medicine, Daejeon, Korea
| | - Seon Mee Kang
- Department of Internal Medicine, Kangwon National University Hospital, Kangwon National University School of Medicine, Chuncheon, Korea
| | - Jung Hwan Park
- Division of Endocrinology & Metabolism, Department of Internal Medicine, Hanyang University College of Medicine, Seoul, Korea
| | - Jae-Seung Yun
- Division of Endocrinology and Metabolism, Department of Internal Medicine, St. Vincent's Hospital, College of Medicine, The Catholic University of Korea, Suwon, Korea
| | - Bong-Soo Cha
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
| | - Min Kyong Moon
- Department of Internal Medicine, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea
| | - Byung-Wan Lee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
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Kim K, Yun JS, Lee J, Yang Y, Lee M, Ahn YB, Cho JH, Ko SH. Effectiveness of a Social Networking Site Based Automatic Mobile Message Providing System on Glycemic Control in Patients with Type 2 Diabetes Mellitus. Endocrinol Metab (Seoul) 2024; 39:344-352. [PMID: 38148106 PMCID: PMC11066440 DOI: 10.3803/enm.2023.1871] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 12/07/2023] [Accepted: 12/21/2023] [Indexed: 12/28/2023] Open
Abstract
BACKGRUOUND This study investigated the effectiveness of a social networking site (SNS)-based automatic mobile message providing system on glycemic control in patients with type 2 diabetes mellitus (T2DM). METHODS A 3-month, randomized, open-label, controlled, parallel-group trial was conducted. One hundred and ten participants with T2DM were randomized to a mobile message system (MMS) (n=55) or control group (n=55). The MMS group received protocolbased automated messages two times per day for 10 weeks regarding diabetes self-management through KakaoTalk SNS messenger. The primary outcome was the difference in the change in glycated hemoglobin (HbA1c) levels (%) from baseline to week 12. RESULTS HbA1c levels were more markedly decreased in the MMS group (8.4%±0.7% to 8.0%±1.1%) than in the control group (8.5%±0.8% to 8.4%±0.8%), resulting in a significant between-group difference (P=0.027). No differences were observed in changes in fasting glucose levels, lipid profiles, and the number of participants who experienced hypoglycemia, or in changes in lifestyle behavior between groups. However, the self-monitoring of blood glucose frequency was significantly increased in the MMS group compared to the control group (P=0.003). In addition, sleep duration was increased in the MMS group, but was not changed in the control group. CONCLUSION An SNS-based automatic mobile message providing system was effective in improving glycemic control in patients in T2DM. Studies which based on a more individualized protocol, and investigate longer beneficial effect and sustainability will be required in the future.
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Affiliation(s)
- Kyuho Kim
- Department of Internal Medicine, St. Vincent’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Jae-Seung Yun
- Department of Internal Medicine, St. Vincent’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Joonyub Lee
- Department of Internal Medicine, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Yeoree Yang
- Department of Internal Medicine, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | | | - Yu-Bae Ahn
- Department of Internal Medicine, St. Vincent’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Jae Hyoung Cho
- Department of Internal Medicine, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
- iKooB Inc., Seoul, Korea
| | - Seung-Hyun Ko
- Department of Internal Medicine, St. Vincent’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
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3
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Sun X, Zhou X, Li S, Ji L. Association between frequency of self-monitoring of blood glucose and glycemic control in patients with type 2 diabetes. Diabetes Res Clin Pract 2024; 209:111027. [PMID: 38000665 DOI: 10.1016/j.diabres.2023.111027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Revised: 11/09/2023] [Accepted: 11/21/2023] [Indexed: 11/26/2023]
Abstract
AIM To determine the association between the frequency of self-monitoring of blood glucose (SMBG) and glycemic control in patients with type 2 diabetes. METHODS The retrospective study analyzed data from 3,630 patients with type 2 diabetes who were enrolled between August 2020 and July 2021. 2456 non-insulin-treated patients were divided into SMBG ≤ 6 times/week and > 6 times/week groups. 1174 insulin-treated patients were divided into SMBG ≤ 9 times/week and > 9 times/week groups. Propensity score matching was used to generate groups with well-balanced covariates. Primary outcomes were changes in fasting blood glucose (FBG) and postprandial blood glucose (PBG) from baseline to 6 months. RESULTS In the non-insulin-treated group, a comparison in FBG and PBG reduction between the SMBG > 6 times/week and ≤ 6 times/week groups was statistically significant (-0.59 vs. -0.18 mmol/l, P < 0.001; -0.91 vs. -0.36 mmol/l, P < 0.001). In the insulin-treated group, there was no statistically significant reduction in FBG or PBG, patients with baseline FBG > 8 or 9 mmol/l and SMBG > 9 times/week had a significant FBG reduction than the ≤ 9 times/week group. CONCLUSION Frequent SMBG was associated with better glycemic control in non-insulin-treated patients. Insulin-treated patients with poor glycemic control may benefit from frequent SMBG.
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Affiliation(s)
- Xiaoyan Sun
- Department of Endocrinology and Metabolism, Peking University People's Hospital, 11th South Street, Xicheng District, Beijing 100044, China
| | - Xianghai Zhou
- Department of Endocrinology and Metabolism, Peking University People's Hospital, 11th South Street, Xicheng District, Beijing 100044, China
| | - Shaobo Li
- Sinocare Inc., No. 265, Guyuan Road Hi-tech Zone, Changsha, Hunan, China.
| | - Linong Ji
- Department of Endocrinology and Metabolism, Peking University People's Hospital, 11th South Street, Xicheng District, Beijing 100044, China.
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ElSayed NA, Aleppo G, Bannuru RR, Bruemmer D, Collins BS, Ekhlaspour L, Hilliard ME, Johnson EL, Khunti K, Lingvay I, Matfin G, McCoy RG, Perry ML, Pilla SJ, Polsky S, Prahalad P, Pratley RE, Segal AR, Seley JJ, Stanton RC, Gabbay RA. 7. Diabetes Technology: Standards of Care in Diabetes-2024. Diabetes Care 2024; 47:S126-S144. [PMID: 38078575 PMCID: PMC10725813 DOI: 10.2337/dc24-s007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, an interprofessional expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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Spees LP, Young LA, Rees J, Mottus K, Leeman J, Boynton MH, Richman E, Vu MB, Donahue KE. A Cost Analysis of Rethink the Strip: De-implementing a Low-value Practice in Primary Care. Med Care 2023; 61:708-714. [PMID: 37943526 PMCID: PMC10478673 DOI: 10.1097/mlr.0000000000001899] [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] [Indexed: 11/10/2023]
Abstract
BACKGROUND Routine self-monitoring of blood glucose is a low-value practice that provides limited benefit for patients with non-insulin-treated type 2 diabetes mellitus. OBJECTIVES We estimated the costs of Rethink the Strip (RTS), a multistrategy approach to the de-implementation of self-monitoring of blood glucose in primary care. RESEARCH DESIGN RTS was conducted among 20 primary care clinics in North Carolina. We estimated the non-site-based and site-based costs of the 5 RTS strategies (practice facilitation, audit and feedback, provider champions, educational meetings, and educational materials) from the analytic perspective of an integrated health care system for 12 and 27-month time horizons. Material costs were tracked through project records, and personnel costs were assessed using activity-based costing. We used nationally based wage estimates. RESULTS Total RTS costs equaled $68,941 for 12 months. Specifically, non-site-based costs comprised $16,560. Most non-site-based costs ($11,822) were from the foundational programming and coding updates to the electronic health record data to develop the audit and feedback reports. The non-site-based costs of educational meetings, practice facilitation, and educational materials were substantially lower, ranging between ~$400 and $1000. Total 12-month site-based costs equaled $2569 for a single clinic (or $52,381 for 20 clinics). Educational meetings were the most expensive strategy, averaging $1401 per clinic. The site-based costs for the 4 other implementation strategies were markedly lower, ranging between $51 for educational materials and $555 for practice facilitation per clinic. CONCLUSIONS This study provides detailed cost information for implementation strategies used to support evidence-based programs in primary care clinics.
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Affiliation(s)
- Lisa P. Spees
- Department of Health Policy and Management, Gillings School of Global Public Health
- Lineberger Comprehensive Cancer Center
| | - Laura A. Young
- Department of Medicine, Division of Endocrinology and Metabolism
| | - Jennifer Rees
- North Carolina Translational and Clinical Sciences Institute
| | | | - Jennifer Leeman
- Lineberger Comprehensive Cancer Center
- North Carolina Translational and Clinical Sciences Institute
- School of Nursing
| | - Marcella H. Boynton
- North Carolina Translational and Clinical Sciences Institute
- Department of Medicine, Division of Endocrinology and Metabolism
| | | | - Maihan B. Vu
- Department of Health Behavior, Gillings School of Global Public Health
- Department of Family Medicine
| | - Katrina E. Donahue
- Cecil G. Sheps Center for Health Services Research
- Center for Health Promotion and Disease Prevention, University of North Carolina at Chapel Hill, Chapel Hill, NC
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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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Zou Y, Zhao S, Li G, Zhang C. The Efficacy and Frequency of Self-monitoring of Blood Glucose in Non-insulin-Treated T2D Patients: a Systematic Review and Meta-analysis. J Gen Intern Med 2023; 38:755-764. [PMID: 36403159 PMCID: PMC9971532 DOI: 10.1007/s11606-022-07864-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Accepted: 10/21/2022] [Indexed: 11/21/2022]
Abstract
BACKGROUND Self-monitoring of blood glucose (SMBG) is a useful tool in diabetes management, but its efficacy and optimal application in type 2 diabetes (T2D) patients treated without insulin have been controversial. We aimed to evaluate the efficacy of SMBG in controlling blood glucose levels in non-insulin-treated T2D patients and to determine the optimal frequency and the most appropriate population to benefit from SMBG. METHODS Eligible publications from January 2000 to April 2022 were retrieved from PubMed, Embase, Cochrane Library, and ClinicalTrials.gov databases. Randomized controlled trials comparing SMBG with no SMBG or structured SMBG (S-SMBG, SMBG with defined timing and frequency of glucose measurements) were included. Meta-analyses and sub-analyses were performed to assess the efficacy, optimal frequency, and most appropriate population for SMBG. Risk of bias was assessed regarding randomization, allocation sequence concealment, blinding, incomplete outcome data, selective outcome reporting, and other biases. RESULTS Twenty-two studies involving 6204 participants were identified, including 17 comparing SMBG with no SMBG and 4 comparing SMBG with S-SMBG. SMBG reduced HbA1c (MD -0.30%, 95% CI -0.42 to -0.17) compared with no SMBG, and S-SMBG performed better than SMBG (MD -0.23%, 95% CI -0.38 to -0.07). Subgroup analyses showed that HbA1c control was better with SMBG at 8-11 times weekly (MD -0.35%, 95% CI -0.51 to -0.20) compared with other frequencies and with lifestyle adjustments (MD -0.37%, 95% CI -0.50 to -0.23) than with no adjustments. No significant differences in HbA1c were observed between baseline HbA1c subgroups (≤ 8% and > 8%, P = 0.63) and between diabetes duration subgroups (≤ 6 years and > 6 years, P = 0.72), respectively. DISCUSSION SMBG was effective for controlling HbA1c in non-insulin-treated T2D patients, although lacking detailed monitoring design. Better outcomes were seen with SMBG at 8-11 times weekly and lifestyle adjustment based on SMBG results. TRIAL REGISTRATION PROSPERO (CRD42021285604).
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Affiliation(s)
- Yue Zou
- Department of Pharmacy, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Sixuan Zhao
- Department of Pharmacy, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Guangyao Li
- Department of Pharmacy, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Chao Zhang
- Department of Pharmacy, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
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Wascher TC, Stechemesser L, Harreiter J. [Blood glucose self monitoring]. Wien Klin Wochenschr 2023; 135:143-146. [PMID: 37101035 PMCID: PMC10133076 DOI: 10.1007/s00508-023-02172-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/22/2023] [Indexed: 04/28/2023]
Abstract
Self monitoring of blood glucose contributes to the integrated management of diabetes mellitus. It, thus, should be available for all patients with diabetes mellitus. Self monitoring of blood glucose improves patients safety, quality of life and glucose control. The current article represents the recommendations of the Austrian Diabetes Association for the use of blood glucose self monitoring according to current scientific evidence.
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Affiliation(s)
| | - Lars Stechemesser
- Universitätsklinik für Innere Medizin I, Paracelsus Medizinische Privatuniversität - Landeskrankenhaus, Salzburg, Österreich
| | - Jürgen Harreiter
- Abteilung für Endokrinologie und Stoffwechsel, Universitätsklinik für Innere Medizin III, Medizinische Universität Wien, Spitalgasse 23, 1090, Wien, Österreich.
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9
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ElSayed NA, Aleppo G, Aroda VR, Bannuru RR, Brown FM, Bruemmer D, Collins BS, Hilliard ME, Isaacs D, Johnson EL, Kahan S, Khunti K, Leon J, Lyons SK, Perry ML, Prahalad P, Pratley RE, Seley JJ, Stanton RC, Gabbay RA. 7. Diabetes Technology: Standards of Care in Diabetes-2023. Diabetes Care 2023; 46:S111-S127. [PMID: 36507635 PMCID: PMC9810474 DOI: 10.2337/dc23-s007] [Citation(s) in RCA: 116] [Impact Index Per Article: 116.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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10
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Holmes-Truscott E, Baptista S, Ling M, Collins E, Ekinci EII, Furler J, Hagger V, Manski-Nankervis JA, Wells C, Speight J. The impact of structured self-monitoring of blood glucose on clinical, behavioral, and psychosocial outcomes among adults with non-insulin-treated type 2 diabetes: a systematic review and meta-analysis. FRONTIERS IN CLINICAL DIABETES AND HEALTHCARE 2023; 4:1177030. [PMID: 37153750 PMCID: PMC10157033 DOI: 10.3389/fcdhc.2023.1177030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Accepted: 04/04/2023] [Indexed: 05/10/2023]
Abstract
Background Self-monitoring of blood glucose (SMBG) is considered of little clinical benefit for adults with non-insulin-treated type 2 diabetes, but no comprehensive review of a structured approach to SMBG has been published to date. Purpose To conduct a systematic review and meta-analysis of the impact of sSMBG on HbA1c, treatment modifications, behavioral and psychosocial outcomes, and; examine the moderating effects of sSMBG protocol characteristics on HbA1c. Data sources Four databases searched (November 2020; updated: February 2022). Study selection Inclusion criteria: non-randomized and randomized controlled trials (RCTs) and prospective observational studies; reporting effect of sSMBG on stated outcomes; among adults (≥18 years) with non-insulin-treated type 2 diabetes. Studies excluded if involving children or people with insulin-treated or other forms of diabetes. Data extraction and analysis Outcome data extracted, and risk of bias/quality assessed independently by two researchers. Meta-analysis was conducted for RCTs, and moderators explored (HbA1c only). Data synthesis From 2,078 abstracts, k=23 studies were included (N=5,372). Risk of bias was evident and study quality was low. Outcomes assessed included: HbA1c (k=23), treatment modification (k=16), psychosocial/behavioral outcomes (k=12). Meta-analysis revealed a significant mean difference favoring sSMBG in HbA1c (-0·29%, 95% CI: -0·46 to -0·11, k=13) and diabetes self-efficacy (0.17%, 95% CI: 0.01 to 0.33, k=2). Meta-analysis revealed no significant moderating effects by protocol characteristics. Limitations Findings limited by heterogeneity in study designs, intervention characteristics, and psychosocial assessments. Conclusion A small positive effect of sSMBG on HbA1c and diabetes self-efficacy was observed. Narrative synthesis of sSMBG intervention characteristics may guide future implementation. PROSPERO registration https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020208857, identifier CRD42020208857.
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Affiliation(s)
- Elizabeth Holmes-Truscott
- School of Psychology, Deakin University, Geelong, VIC, Australia
- The Australian Centre for Behavioural Research in Diabetes, Diabetes Victoria, Melbourne, VIC, Australia
- *Correspondence: Elizabeth Holmes-Truscott,
| | - Shaira Baptista
- School of Psychology, Deakin University, Geelong, VIC, Australia
- The Australian Centre for Behavioural Research in Diabetes, Diabetes Victoria, Melbourne, VIC, Australia
| | - Mathew Ling
- School of Psychology, Deakin University, Geelong, VIC, Australia
- Neami National, Preston, VIC, Australia
| | | | - EIif I. Ekinci
- Department of Medicine, Austin Health, Melbourne Medical School, The University of Melbourne, Melbourne, VIC, Australia
- The Australian Centre for Accelerating Diabetes Innovations (ACADI), The University of Melbourne, Melbourne, VIC, Australia
| | - John Furler
- Department of General Practice, The University of Melbourne, Melbourne, VIC, Australia
| | - Virginia Hagger
- The Australian Centre for Behavioural Research in Diabetes, Diabetes Victoria, Melbourne, VIC, Australia
- School of Nursing and Midwifery, Faculty of Health, Deakin University, Burwood, VIC, Australia
| | - Jo-Anne Manski-Nankervis
- The Australian Centre for Accelerating Diabetes Innovations (ACADI), The University of Melbourne, Melbourne, VIC, Australia
- Department of General Practice, The University of Melbourne, Melbourne, VIC, Australia
| | | | - Jane Speight
- School of Psychology, Deakin University, Geelong, VIC, Australia
- The Australian Centre for Behavioural Research in Diabetes, Diabetes Victoria, Melbourne, VIC, Australia
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11
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Moon SJ, Kim KS, Lee WJ, Lee MY, Vigersky R, Park CY. Efficacy of intermittent short-term use of a real-time continuous glucose monitoring system in non-insulin-treated patients with type 2 diabetes: A randomized controlled trial. Diabetes Obes Metab 2023; 25:110-120. [PMID: 36053813 DOI: 10.1111/dom.14852] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2022] [Revised: 08/12/2022] [Accepted: 08/22/2022] [Indexed: 12/14/2022]
Abstract
AIM To evaluate the efficacy of intermittent short-term use of a real-time continuous glucose monitoring (RT-CGM) system in non-insulin-treated patients with type 2 diabetes (T2D) uncontrolled with oral antidiabetic drugs (OADs). MATERIALS AND METHODS In this multicentre, randomized prospective study, 61 participants were randomly assigned to treatment group 1 (one session of RT-CGM), treatment group 2 (two sessions of RT-CGM with a 3-month interval between sessions) and a control group. All participants used blinded continuous glucose monitoring for up to 6 days with education before randomization, and RT-CGM was additionally applied for 1 week in the intervention groups. The primary outcome was change in HbA1c at 6 months. RESULTS Among 61 participants, 48 subjects completed the study (baseline HbA1c 8.2% ± 0.5%). At 3 months, a significant HbA1c reduction was observed in treatment group 1 (adjusted difference = -0.60%, P = .044) and treatment group 2 (adjusted difference = -0.64%, P = .014) compared with the control group. However, at 6 months, only treatment group 2 achieved a significant HbA1c reduction (adjusted difference = -0.68%, P = .018). Especially in the treatment groups, patients performing self-monitoring of blood glucose (SMBG) at least 1.5 times/day showed a significant HbA1c improvement, at both 3 and 6 months, but those performing SMBG less than 1.5 times/day showed no significant improvement. CONCLUSIONS In non-insulin-treated patients with T2D uncontrolled with OADs, intermittent short-term use of RT-CGM was an effective method for glucose control, especially in those performing SMBG frequently.
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Affiliation(s)
- Sun Joon Moon
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Kyung-Soo Kim
- Department of Internal Medicine, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Republic of Korea
| | - Woo Je Lee
- Department of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
- Asan Diabetes Center, Asan Medical Center, Seoul, Republic of Korea
| | - Mi Yeon Lee
- Division of Biostatistics, Department of R&D Management, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Robert Vigersky
- Global Medical and Clinical Affairs, Medtronic Diabetes, Northridge, California, USA
| | - Cheol-Young Park
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
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12
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Blonde L, Umpierrez GE, Reddy SS, McGill JB, Berga SL, Bush M, Chandrasekaran S, DeFronzo RA, Einhorn D, Galindo RJ, Gardner TW, Garg R, Garvey WT, Hirsch IB, Hurley DL, Izuora K, Kosiborod M, Olson D, Patel SB, Pop-Busui R, Sadhu AR, Samson SL, Stec C, Tamborlane WV, Tuttle KR, Twining C, Vella A, Vellanki P, Weber SL. American Association of Clinical Endocrinology Clinical Practice Guideline: Developing a Diabetes Mellitus Comprehensive Care Plan-2022 Update. Endocr Pract 2022; 28:923-1049. [PMID: 35963508 PMCID: PMC10200071 DOI: 10.1016/j.eprac.2022.08.002] [Citation(s) in RCA: 144] [Impact Index Per Article: 72.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Revised: 08/01/2022] [Accepted: 08/02/2022] [Indexed: 02/06/2023]
Abstract
OBJECTIVE The objective of this clinical practice guideline is to provide updated and new evidence-based recommendations for the comprehensive care of persons with diabetes mellitus to clinicians, diabetes-care teams, other health care professionals and stakeholders, and individuals with diabetes and their caregivers. METHODS The American Association of Clinical Endocrinology selected a task force of medical experts and staff who updated and assessed clinical questions and recommendations from the prior 2015 version of this guideline and conducted literature searches for relevant scientific papers published from January 1, 2015, through May 15, 2022. Selected studies from results of literature searches composed the evidence base to update 2015 recommendations as well as to develop new recommendations based on review of clinical evidence, current practice, expertise, and consensus, according to established American Association of Clinical Endocrinology protocol for guideline development. RESULTS This guideline includes 170 updated and new evidence-based clinical practice recommendations for the comprehensive care of persons with diabetes. Recommendations are divided into four sections: (1) screening, diagnosis, glycemic targets, and glycemic monitoring; (2) comorbidities and complications, including obesity and management with lifestyle, nutrition, and bariatric surgery, hypertension, dyslipidemia, retinopathy, neuropathy, diabetic kidney disease, and cardiovascular disease; (3) management of prediabetes, type 2 diabetes with antihyperglycemic pharmacotherapy and glycemic targets, type 1 diabetes with insulin therapy, hypoglycemia, hospitalized persons, and women with diabetes in pregnancy; (4) education and new topics regarding diabetes and infertility, nutritional supplements, secondary diabetes, social determinants of health, and virtual care, as well as updated recommendations on cancer risk, nonpharmacologic components of pediatric care plans, depression, education and team approach, occupational risk, role of sleep medicine, and vaccinations in persons with diabetes. CONCLUSIONS This updated clinical practice guideline provides evidence-based recommendations to assist with person-centered, team-based clinical decision-making to improve the care of persons with diabetes mellitus.
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Affiliation(s)
| | | | - S Sethu Reddy
- Central Michigan University, Mount Pleasant, Michigan
| | | | | | | | | | | | - Daniel Einhorn
- Scripps Whittier Diabetes Institute, La Jolla, California
| | | | | | - Rajesh Garg
- Lundquist Institute/Harbor-UCLA Medical Center, Torrance, California
| | | | | | | | | | | | - Darin Olson
- Colorado Mountain Medical, LLC, Avon, Colorado
| | | | | | - Archana R Sadhu
- Houston Methodist; Weill Cornell Medicine; Texas A&M College of Medicine; Houston, Texas
| | | | - Carla Stec
- American Association of Clinical Endocrinology, Jacksonville, Florida
| | | | - Katherine R Tuttle
- University of Washington and Providence Health Care, Seattle and Spokane, Washington
| | | | | | | | - Sandra L Weber
- University of South Carolina School of Medicine-Greenville, Prisma Health System, Greenville, South Carolina
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13
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The Behavior of Self-Monitoring of Blood Glucose and Glycemic Control in Taiwanese Population. ENDOCRINES 2022. [DOI: 10.3390/endocrines3020019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Self-monitoring of blood glucose (SMBG) is common in patients with diabetes. The aim of this study was to explore how frequency/behavior of SMBG affect glucose control in patients with type 2 diabetes. This cross-sectional study was conducted at a regional teaching hospital in Taiwan. All participants completed a structured questionnaire about the frequency and behavior of SMBG, and hemoglobulin A1C (A1C) data were recorded from medical records. A total of 382 diabetes outpatients participated in the study. In the patients using insulin injections, A1C was better in patients with SMBG ≥ 28 times than in those with SMBG < 28 times per month (7.82 ± 1.86% vs. 8.33 ± 1.31%, p = 0.025). In the patients not using insulin, A1C was better in patients with SMBG > 14 times than those with SMBG ≤ 14 times per month (7.08 ± 0.23% vs. 7.55 ± 0.08%, p = 0.038). The patients who more frequently reviewed the causes of hypoglycemia and hyperglycemia had a better A1C level (p for linear trend <0.001). Our study suggested that SMBG ≥ 28 and >14 times could improve glycemic control for insulin-requiring and non-insulin-requiring type 2 diabetes patients, respectively. Further exploration of the cause of hyperglycemia or hypoglycemia shown by SMBG could also improve blood glucose control.
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14
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Hale L, Cameron TC, Donahue KE, Vu MB, Leeman J, Johnson A, Richman E, Rees J, Young L. Clinical Team Response to the Impact of COVID-19 on Diabetes Self-Management: Findings From a Qualitative Study. FRONTIERS IN CLINICAL DIABETES AND HEALTHCARE 2022; 3:835845. [PMID: 36992778 PMCID: PMC10012158 DOI: 10.3389/fcdhc.2022.835845] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Accepted: 01/20/2022] [Indexed: 11/13/2022]
Abstract
The aims of this study were to explore providers’ perceptions of how COVID-19 affected patients’ psychological wellbeing and diabetes self-care and discover how providers responded to sustain and improve patients’ psychological health and diabetes management during the pandemic. Twenty-four semi-structured interviews were completed with primary care providers (n=14) and endocrine specialty clinicians (n=10) across sixteen clinics in North Carolina. Interview topics included: (1) current glucose monitoring approaches and diabetes management strategies for people with diabetes (2) barriers and unintended consequences encountered with respect to diabetes self-management, and (3) innovative strategies developed to overcome barriers. Interview transcripts were coded using qualitative analysis software and analyzed to identify cross-cutting themes and differences between participants. Primary care providers and endocrine specialty clinicians reported that people with diabetes experienced increased mental health symptoms, increased financial challenges and positive and negative changes in self-care routines due to COVID-19. To offer support, primary care providers and endocrine specialty providers focused discussions on lifestyle management and utilized telemedicine to connect with patients. Additionally, endocrine specialty clinicians helped patients access financial assistance programs. Findings indicate that people with diabetes experienced unique challenges to self-management during the pandemic and providers responded with targeted support strategies. Future research should explore the effectiveness of these provider interventions as the pandemic continues to evolve.
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Affiliation(s)
- Lily Hale
- School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- *Correspondence: Lily Hale,
| | - Thomas C. Cameron
- Department of Medicine, Division of Endocrinology and Metabolism, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Katrina E. Donahue
- Department of Family Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Cecil G. Sheps Center for Health Services Research, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Maihan B. Vu
- Department of Health Behavior, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Jennifer Leeman
- School of Nursing, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Asia Johnson
- Cecil G. Sheps Center for Health Services Research, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Erica Richman
- Cecil G. Sheps Center for Health Services Research, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Jennifer Rees
- North Carolina Translational and Clinical Sciences Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Laura Young
- Department of Medicine, Division of Endocrinology and Metabolism, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
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Acetylated Trifluoromethyl Diboronic Acid Anthracene with a Large Stokes Shift and Long Excitation Wavelength as a Glucose-Selective Probe. APPLIED SCIENCES-BASEL 2022. [DOI: 10.3390/app12062782] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Continuous control of blood glucose levels is important for the effective treatment of diabetes. The short-term use of enzymatic continuous monitoring systems involves expensive maintenance and is inconvenient, which limits their widespread use by diabetes patients. The fluorescent diboronic anthracene-embedded system has demonstrated in vivo continuous glucose monitoring for 12 times longer than enzymatic systems by protecting the dye from reactive oxygen species. However, its small Stokes shift and low excitation and emission wavelength should be heavily considered for easy fabrication. We successfully synthesized a derivative of bis-phenyl boronate with a large Stokes shift and long excitation wavelength by adding an acetyl moiety to the anthracene ring. This resulted in a ~90-nm Stokes shift and 15-nm and 80-nm redshifts of the excitation and emission wavelengths, respectively. The fluorescence of the synthesized probe increased proportionally with the glucose concentration because the formation of the boronic acid-glucose complex prevented photoinduced electron transfer. The association constant and quantum yield for acetyl-substituted diboronic anthracene with glucose was 20% and 13% higher than that of the analog, respectively. While keeping resistance to the oxidation by reactive oxygen species, the improved optical properties and glucose-detecting performances of the newly synthesized dye will allow better pairing of the source and detecting unit for in vivo continuous glucose monitoring, leading to easy fabrication and then contributing more to utilization by diabetes patients.
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Abstract
The American Diabetes Association (ADA) "Standards of Medical Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee (https://doi.org/10.2337/dc22-SPPC), are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations, please refer to the Standards of Care Introduction (https://doi.org/10.2337/dc22-SINT). Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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Jamal A, Tharkar S, Babaier WS, Alsomali SF, Alsulayhim AS, Alayuni MA, Aldakheel NA, Al-Osaimi SS, Alshehri N, Batais M. Blood Glucose Monitoring and Sharing Amongst People With Diabetes and Their Facilitators: Cross-sectional Study of Methods and Practices. JMIR Diabetes 2021; 6:e29178. [PMID: 34704954 PMCID: PMC8581747 DOI: 10.2196/29178] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Revised: 05/30/2021] [Accepted: 08/15/2021] [Indexed: 01/16/2023] Open
Abstract
BACKGROUND The last two decades have witnessed a burgeoning rise in the prevalence of diabetes globally. It has already reached epidemic proportions in Saudi Arabia, with reported high risk among women. As a result, diabetes monitoring and self-management programs are being highly prioritized for diabetes control and management. OBJECTIVE To investigate measuring and sharing practices of the self-monitoring of blood glucose (SMBG) among patients with type 1 or 2 diabetes using insulin. METHODS A cross-sectional study was conducted on a sample of 203 patients attending primary care clinics at a tertiary care center. The questionnaire assessed the measuring, recording, and sharing of SMBG practices of patients having diabetes with their physicians. The methods used for recording and sharing were categorized into paper-based and electronic-based. In addition, the determinants of the different methods used and frequency of sharing were analyzed. RESULTS The overall monitoring prevalence was 95% (193/203), and 57% (117/203) of participants shared the SMBG results. Among the 193 individuals that performed self-monitoring, 138 (72%) performed daily monitoring, and 147 (76%) recorded their blood sugar levels. Almost 55% (81/147) used paper-based materials like notebooks and paper for recording, while the rest (66/147, 45%) used digital devices like laptops and smartphones. A shift towards the use of digital devices and smart applications was observed in patients below 50 years of age. The digitally recorded blood glucose measurements were being shared thrice more often than the recordings made on paper or in notebooks (OR [odds ratio] 2.8; P=.01). Patients >50 years of age (OR 2.3; P=.02), with lesser formal education, married (OR 4.2; P<.001), with smaller family size (OR 2.6; P=.01), having type 2 diabetes (OR 4.1; P<.001) and any comorbid conditions (OR 2.6; P=.01) were associated with higher odds of using paper-based sharing methods. Only the female gender and type 2 diabetes were associated with increased frequency of sharing, while uncontrolled diabetes, the presence of other comorbidities, and duration of diabetes did not show any influence. CONCLUSIONS Good monitoring and optimal sharing practices were found. Sharing using electronic devices can be emphasized. Diabetes self-management programs can incorporate the use of digital technology in training sessions. Digital literacy and its applications in health care may enhance SMBG practices resulting in better diabetes control.
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Affiliation(s)
- Amr Jamal
- Evidence-Based Healthcare and Knowledge Translation Research Chair, Department of Family and Community Medicine, College of Medicine, King Saud University, Riyadh, Saudi Arabia
| | - Shabana Tharkar
- Prince Sattam Chair for Epidemiology and Public Health Research, Family and Community Medicine Department, College of Medicine, King Saud University, Riyadh, Saudi Arabia
| | | | | | | | | | | | | | - Norah Alshehri
- Department of Family and Community Medicine, College of Medicine, King Saud University, Riyadh, Saudi Arabia
| | - Mohammed Batais
- Department of Family and Community Medicine, College of Medicine, King Saud University, Riyadh, Saudi Arabia
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18
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Cowart K, Updike WH, Franks R. Continuous glucose monitoring in persons with type 2 diabetes not using insulin. Expert Rev Med Devices 2021; 18:1049-1055. [PMID: 34633261 DOI: 10.1080/17434440.2021.1992274] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
INTRODUCTION CGM is an evidence-based intervention to improve glycemic control in persons with T1D and T2D using insulin. Use of CGM in persons with T2D not using insulin is not well studied. AREAS COVERED Existing clinical evidence for the use of CGM in persons with T2D is reviewed with a focus on persons with T2D not using insulin. Additional perspective and consideration are provided on the role and rationale for using CGM in persons with T2D not using insulin. EXPERT OPINION On the basis of available evidence, persons with T2D not using insulin benefit clinically through reduction in HbA1c, and improvement in time in range. Additional benefits include improvement in behavior modification, satisfaction, quality of life, empowerment, and diabetes distress. Drivers of these benefits are independent of insulin use in persons with T2D and may include an improved understanding of how diet, lifestyle, and exercise impact diabetes through CGM use. Clinical benefits from CGM independent of medication use include ability to modify health behavior and subsequently improve self-management.
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Affiliation(s)
- Kevin Cowart
- College of Public Health, University of South Florida, Tampa, Florida, USA.,Department of Internal Medicine, Morsani College of Medicine, University of South Florida, Tampa, Florida, USA.,Department of Pharmacotherapeutics & Clinical Research, Taneja College of Pharmacy, University of South Florida, Tampa, Florida, USA
| | - Wendy H Updike
- Department of Pharmacotherapeutics & Clinical Research, Taneja College of Pharmacy, University of South Florida, Tampa, Florida, USA.,Department of Family Medicine, Morsani College of Medicine; University of South Florida, Tampa, Florida, USA
| | - Rachel Franks
- Department of Internal Medicine, Morsani College of Medicine, University of South Florida, Tampa, Florida, USA.,Department of Pharmacotherapeutics & Clinical Research, Taneja College of Pharmacy, University of South Florida, Tampa, Florida, USA
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Wang JS, Lo SH, Yeh YP, Hwu CM, Huang CN, Hsieh CH, Sheu WHH. Distinct associations of self-monitoring of blood glucose with glycemic control and hypoglycemia between groups of recently diagnosed and long-term follow-up type 2 diabetes: The Taiwan Diabetes Registry. Int J Clin Pract 2021; 75:e14410. [PMID: 34048138 DOI: 10.1111/ijcp.14410] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Accepted: 05/25/2021] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND We investigated the uses and frequency of self-monitoring of blood glucose (SMBG) with glycemic control and hypoglycemia in two groups of type 2 diabetes (T2D) (recently diagnosed and long-term follow-up) using real-world data in Taiwan (the Taiwan Diabetes Registry). METHODS Patients with T2D recently diagnosed within 6 months (n = 3297, mean age 54.4 ± 13.9 years) and T2D patients with long-term follow-up (n = 1201, mean age 65.5 ± 12.1 years, mean diabetes duration 14.3 ± 7.8 years) from the Taiwan Diabetes Registry were analysed. All patients were interviewed by certified diabetes educators. Information about SMBG and hypoglycemia was recorded. Demography, personal history, and laboratory data were obtained from electronic medical records. Logistic regression analyses were used to examine the associations of SMBG with glycated haemoglobin (HbA1c) <7% and hypoglycemia. RESULTS Mean HbA1c values were 8.4 ± 2.5 and 7.6 ± 1.4%, respectively, in the recently diagnosed and long-term follow-up T2D groups. The self-reported rates of hypoglycemic events within 3 months were 10.5% and 19.0%, respectively. SMBG was associated with higher odds of HbA1c <7% (OR 1.21, 95% CI 1.01-1.44) in patients with recently diagnosed T2D, but with lower odds of HbA1c <7% in T2D patients with long-term follow-up (OR 0.60, 95% CI 0.44-0.82). In both study populations, SMBG was independently associated with hypoglycemia (OR 3.90 [95% CI 2.99-5.08] and OR 3.93 [95% CI 2.73-5.66], respectively). The aforementioned findings were consistent across the strata of SMBG frequency. CONCLUSION We reported different associations between SMBG and glycemic control in patients recently diagnosed with T2D and in T2D patients with long-term follow-up. SMBG was associated with higher detection of hypoglycemic episodes in both study populations.
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Affiliation(s)
- Jun-Sing Wang
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
- Department of Medicine, School of Medicine, National Yang-Ming University, Taipei, Taiwan
- Ph.D. Program in Translational Medicine, National Chung Hsing University, Taichung, Taiwan
- Rong Hsing Research Center for Translational Medicine, Institute of Biomedical Science, National Chung Hsing University, Taichung, Taiwan
| | - Su-Huey Lo
- Tao-Yuan General Hospital, Ministry of Health and Welfare, Taoyuan City, Taiwan
| | - Yen-Po Yeh
- Changhua County Public Health Bureau, Changhua, Taiwan
| | - Chii-Min Hwu
- Department of Medicine, School of Medicine, National Yang-Ming University, Taipei, Taiwan
- Section of Endocrinology and Metabolism, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Chien-Ning Huang
- Institute of Medicine, Chung Shang Medical University Hospital, Taichung, Taiwan
| | - Chang-Hsun Hsieh
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Tri-Service General Hospital, Taipei, Taiwan
| | - Wayne Huey-Herng Sheu
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
- Department of Medicine, School of Medicine, National Yang-Ming University, Taipei, Taiwan
- Section of Endocrinology and Metabolism, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
- Institute of Medical Technology, College of Life Science, National Chung-Hsing University, Taichung, Taiwan
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French DP, Miles LM, Elbourne D, Farmer A, Gulliford M, Locock L, Sutton S, McCambridge J. Reducing bias in trials from reactions to measurement: the MERIT study including developmental work and expert workshop. Health Technol Assess 2021; 25:1-72. [PMID: 34553685 DOI: 10.3310/hta25550] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Measurement can affect the people being measured; for example, asking people to complete a questionnaire can result in changes in behaviour (the 'question-behaviour effect'). The usual methods of conduct and analysis of randomised controlled trials implicitly assume that the taking of measurements has no effect on research participants. Changes in measured behaviour and other outcomes due to measurement reactivity may therefore introduce bias in otherwise well-conducted randomised controlled trials, yielding incorrect estimates of intervention effects, including underestimates. OBJECTIVES The main objectives were (1) to promote awareness of how and where taking measurements can lead to bias and (2) to provide recommendations on how best to avoid or minimise bias due to measurement reactivity in randomised controlled trials of interventions to improve health. METHODS We conducted (1) a series of systematic and rapid reviews, (2) a Delphi study and (3) an expert workshop. A protocol paper was published [Miles LM, Elbourne D, Farmer A, Gulliford M, Locock L, McCambridge J, et al. Bias due to MEasurement Reactions In Trials to improve health (MERIT): protocol for research to develop MRC guidance. Trials 2018;19:653]. An updated systematic review examined whether or not measuring participants had an effect on participants' health-related behaviours relative to no-measurement controls. Three new rapid systematic reviews were conducted to identify (1) existing guidance on measurement reactivity, (2) existing systematic reviews of studies that have quantified the effects of measurement on outcomes relating to behaviour and affective outcomes and (3) experimental studies that have investigated the effects of exposure to objective measurements of behaviour on health-related behaviour. The views of 40 experts defined the scope of the recommendations in two waves of data collection during the Delphi procedure. A workshop aimed to produce a set of recommendations that were formed in discussion in groups. RESULTS Systematic reviews - we identified a total of 43 studies that compared interview or questionnaire measurement with no measurement and these had an overall small effect (standardised mean difference 0.06, 95% confidence interval 0.02 to 0.09; n = 104,096, I2 = 54%). The three rapid systematic reviews identified no existing guidance on measurement reactivity, but we did identify five systematic reviews that quantified the effects of measurement on outcomes (all focused on the question-behaviour effect, with all standardised mean differences in the range of 0.09-0.28) and 16 studies that examined reactive effects of objective measurement of behaviour, with most evidence of reactivity of small effect and short duration. Delphi procedure - substantial agreement was reached on the scope of the present recommendations. Workshop - 14 recommendations and three main aims were produced. The aims were to identify whether or not bias is likely to be a problem for a trial, to decide whether or not to collect further quantitative or qualitative data to inform decisions about if bias is likely to be a problem, and to identify how to design trials to minimise the likelihood of this bias. LIMITATION The main limitation was the shortage of high-quality evidence regarding the extent of measurement reactivity, with some notable exceptions, and the circumstances that are likely to bring it about. CONCLUSION We hope that these recommendations will be used to develop new trials that are less likely to be at risk of bias. FUTURE WORK The greatest need is to increase the number of high-quality primary studies regarding the extent of measurement reactivity. STUDY REGISTRATION The first systematic review in this study is registered as PROSPERO CRD42018102511. FUNDING Funded by the Medical Research Council UK and the National Institute for Health Research as part of the Medical Research Council-National Institute for Health Research Methodology Research Programme.
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Affiliation(s)
- David P French
- Manchester Centre for Health Psychology, University of Manchester, Manchester, UK
| | - Lisa M Miles
- Manchester Centre for Health Psychology, University of Manchester, Manchester, UK
| | - Diana Elbourne
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK
| | - Andrew Farmer
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Martin Gulliford
- School of Population Health and Environmental Sciences, King's College London, London, UK
| | - Louise Locock
- Health Services Research Unit, University of Aberdeen, Aberdeen, UK
| | - Stephen Sutton
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
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Tai JCJ, Wong LZ, Richardson A. Self-Monitoring of Blood Glucose for Patients With Type 2 Diabetes in Primary Care: A Single-Centre, 10-Year Retrospective Analysis. Cureus 2021; 13:e15597. [PMID: 34277218 PMCID: PMC8272934 DOI: 10.7759/cureus.15597] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/11/2021] [Indexed: 11/05/2022] Open
Abstract
Background While type 1 diabetics often require self-monitoring of blood glucose (SMBG), the evidence for tight blood glucose monitoring in non-insulin treated type 2 diabetes mellitus (T2DM) patients is limited. In addition to its lack of cost-effectiveness, unnecessary blood glucose monitoring may also result in anxiety and decreased quality of life. In this retrospective audit, we assessed SMBG prescribing practice at one general practice against guidelines from the National Institute for Health and Care Excellence (NICE). Methods A systematic search of T2DM patients diagnosed at a general practice in London, United Kingdom, in the last 10 years was undertaken. A total of 146 patients fulfilled these criteria, of which 100 patients were randomly selected for inclusion in this audit. Medical notes were reviewed and collated for analysis. Results Only 85% of patients with T2DM were being managed in accordance with the NICE guidelines on SMBG, while 15% were not. It was more common for patients who did not need monitoring to be inappropriately prescribed SMBG (10%) than it was for patients who needed monitoring to be under-prescribed SMBG (5%). The reasons for prescribing SMBG were often left undocumented. Conclusion Adherence to the NICE guidelines is subpar. Recommended solutions include educating healthcare professionals involved in the prescribing of SMBGs, regular reviews of the continued necessity of SMBG, and digital alerts on e-prescribing systems.
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Affiliation(s)
- Justina Cheh Juan Tai
- General Practice and Primary Care, University College London Medical School, London, GBR
| | - Liang Zhi Wong
- General Practice and Primary Care, University College London Medical School, London, GBR
| | - Adrian Richardson
- General Practice and Primary Care, NHS Haringey North Central London Clinical Commissioning Group (CCG), London, GBR
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Mauldin K, Gieng J, Saarony D, Hu C. Performing nutrition assessment remotely via telehealth. Nutr Clin Pract 2021; 36:751-768. [PMID: 34101249 DOI: 10.1002/ncp.10682] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
Performing nutrition assessment remotely via telehealth is a topic of significant interest given the global pandemic in 2020 that has necessitated physical distancing and virtual communications. This review presents an evidence-based approach to conducting nutrition assessments remotely. The authors present suggestions for adaptations that can be used to perform a remote nutrition-focused physical exam. Direct-to-consumer technologies that can be used in remote nutrition assessment are discussed and compared. Practice tips for conducting a telehealth visit are also presented. The aim of this publication is to provide interdisciplinary clinicians a set of guidelines and best practices for performing nutrition assessments in the era of telehealth.
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Affiliation(s)
- Kasuen Mauldin
- Department of Nutrition, Food Science, and Packaging, San José State University, San José, California, USA.,Clinical Nutrition, Stanford Health Care, Stanford, California, USA
| | - John Gieng
- Department of Nutrition, Food Science, and Packaging, San José State University, San José, California, USA
| | - Dania Saarony
- Clinical Nutrition, Stanford Health Care, Stanford, California, USA
| | - Catherine Hu
- Clinical Nutrition, Stanford Health Care, Stanford, California, USA
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Alyami M, Serlachius A, O'Donovan CE, van der Werf B, Broadbent E. A systematic review of illness perception interventions in type 2 diabetes: Effects on glycaemic control and illness perceptions. Diabet Med 2021; 38:e14495. [PMID: 33306203 DOI: 10.1111/dme.14495] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Revised: 11/08/2020] [Accepted: 12/08/2020] [Indexed: 12/13/2022]
Abstract
AIMS This systematic review sought to synthesize the evidence regarding the effectiveness of illness perception interventions compared with control conditions at changing illness perceptions and improving glycaemic control in individuals with type 2 diabetes. METHODS Seven electronic databases were searched between October 2018 and May 2020. Randomized controlled trials that tested interventions informed by the Common-Sense Model in adults with type 2 diabetes, and measured illness perceptions and glycaemic control at pre- and post-intervention were included. The Cochrane risk of bias tool was used to assess risk of bias. RESULTS A total of 4095 articles were identified, of which nine randomized control trials (2561 participants) across 12 publications were included in this review. Findings showed that all the illness perception domains were modified in at least one trial, with the exception of cyclical timeline perceptions. Coherence, personal control, treatment control and chronic timeline perceptions were the most frequently modified perceptions. Glycaemic control demonstrated an improvement in the intervention group compared to the control group at 3 and 6 months post-intervention in two trials. Risk of bias assessment showed high risk of bias especially for the blinding of participants and the personnel domain. CONCLUSIONS There is limited evidence that interventions informed by the Common-Sense Model can improve glycaemic control in individuals with type 2 diabetes through changing inaccurate illness perceptions. Recommendations for future research are to tailor intervention content based on baseline perceptions, measure the emotional and causal domains, and involve family members in the intervention. (PROSPERO registration: CRD42019114532).
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Affiliation(s)
- Mohsen Alyami
- Department of Psychological Medicine, University of Auckland, Auckland, New Zealand
| | - Anna Serlachius
- Department of Psychological Medicine, University of Auckland, Auckland, New Zealand
| | - Claire E O'Donovan
- Department of Psychological Medicine, University of Auckland, Auckland, New Zealand
| | - Bert van der Werf
- Department of Epidemiology and Biostatistics, School of Population Health, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Elizabeth Broadbent
- Department of Psychological Medicine, University of Auckland, Auckland, New Zealand
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Abstract
The American Diabetes Association (ADA) "Standards of Medical Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee (https://doi.org/10.2337/dc21-SPPC), are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations, please refer to the Standards of Care Introduction (https://doi.org/10.2337/dc21-SINT). Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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Mazze R. Advances in glucose monitoring: Improving diabetes management through evidence-based medicine. Prim Care Diabetes 2020; 14:515-521. [PMID: 32273189 DOI: 10.1016/j.pcd.2020.03.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/30/2019] [Revised: 02/04/2020] [Accepted: 03/17/2020] [Indexed: 12/21/2022]
Abstract
After 50 years SMBG use remains equivocal. CGM, may face the same fate. While it has been reported that CGM use results in improved HbA1c, the margin is small, and the studies scant. Like SMBG, CGM was introduced as "here's something new, try it." For CGM's potential to be fully realized it must be understood that it can discover underlying metabolic perturbations that would otherwise go undetected; it can measure the frequency, duration, magnitude and distribution of glucose exposure, variability and stability under conditions of daily living which in turn lead to more precise therapies, resulting in improved outcomes.
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Affiliation(s)
- Roger Mazze
- AGP Clinical Academy, Portsmouth Hospitals, NHST, Portsmouth, UK; Nanjing Medical University, Nanjing, China.
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A brave new world: the new normal for general practice after the COVID-19 pandemic. BJGP Open 2020; 4:bjgpopen20X101103. [PMID: 32487520 PMCID: PMC7465568 DOI: 10.3399/bjgpopen20x101103] [Citation(s) in RCA: 55] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Accepted: 05/15/2020] [Indexed: 10/31/2022] Open
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Isaacs D, Cox C, Schwab K, Oser TK, Rinker J, Mason MJ, Greenwood DA, Albanese-O’Neill A. Technology Integration: The Role of the Diabetes Care and Education Specialist in Practice. DIABETES EDUCATOR 2020; 46:323-334. [DOI: 10.1177/0145721720935123] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Purpose Technology is rapidly evolving and has become an integral component of diabetes care. People with diabetes and clinicians are harnessing a variety of technologies, including connected blood glucose meters, continuous glucose monitors, insulin pumps, automated insulin delivery systems, data-sharing platforms, telehealth, remote monitoring, and smartphone mobile applications to improve clinical outcomes and quality of life. Although diabetes technology use is associated with improved outcomes, this is enhanced when the person using it is knowledgeable and actively engaged; simply wearing the device or downloading an app may not automatically translate into health benefits. The diabetes care and education specialist (DCES) has a central role in defining and establishing a technology-enabled practice setting that is efficient and sustainable. The purpose of this article is to describe the role of the DCES in technology implementation and to demonstrate the value of diabetes technology in both the care of the individual and as a tool to support population-level health improvements. Conclusion By following the recommendations in this article, DCESs can serve as technology champions in their respective practices and work to reduce therapeutic inertia while improving health outcomes and providing patient-centered care for the populations they serve.
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Affiliation(s)
- Diana Isaacs
- Endocrinology and Metabolism Institute, Cleveland Clinic Diabetes Center, Cleveland, Ohio, USA
| | - Carla Cox
- Mountain Vista Medicine, South Jordan, Utah, USA
| | - Kathy Schwab
- Diabetes and Health Education Services, Providence Health and Services, Portland, Oregon, USA
| | - Tamara K. Oser
- Department of Family Medicine, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, Colorado, USA
| | - Joanne Rinker
- Association of Diabetes Care and Education Specialists, Chicago, Illinois, USA
| | - Mary Jo Mason
- Clay Platte Family Medicine, Kansas City, Missouri, USA
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Effect of a standard schema of self-monitoring blood glucose in patients with poorly controlled, non-insulin-treated type 2 diabetes mellitus: A controlled longitudinal study. JOURNAL OF POPULATION THERAPEUTICS AND CLINICAL PHARMACOLOGY 2020; 27:e1-e11. [PMID: 32757545 DOI: 10.15586/jptcp.v27isp2.680] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2020] [Accepted: 06/15/2020] [Indexed: 11/18/2022]
Abstract
The effect of self-monitoring of blood glucose (SMBG) on glycemic control with regard to non-insulin-treated Type 2 diabetes mellitus (NIT-Type 2 DM) is still a controversial topic. Against this backdrop, we sought to compare the effect of a continuous short-term SMBG schema with as-usual treatment, based on changes in oral antidiabetic treatment in patients with poorly controlled Type 2 DM. We reviewed 492 NIT-Type 2 DM record charts, selecting 27 patients, with poor glycemic control, who were thought to self-monitor their blood glucose levels (SMBG group). We then compared them with 27 patients treated with modifying drugs or diets to achieve and maintain the glycemic target (Control Group). Haemoglobin A1c (HbA1c) and fasting plasma glucose (FPG) were evaluated at baseline, after 3 and 6 months. HbA1c values decreased after 3 and 6 months in the SMBG group (P < 0.001 on both occasions) and in the control group (P < 0.05 and P < 0.01, respectively), but without a significant difference between the two groups when compared at the same time. The FPG progressively decreased in both groups, reaching a significant difference in the SMBG group after 3 months and in the control group after 6 months, and without a significant difference between the two groups. The SMBG schema used in our study could be adopted for target groups before proceeding to the next therapeutic enhancement drug step, representing a useful tool that can help diabetic patients in raising awareness of and treating their disease.
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Dedov II, Shestakova MV, Mayorov AY, Shamkhalova MS, Sukhareva OY, Galstyan GR, Tokmakova AY, Nikonova TV, Surkova EV, Kononenko IV, Egorova DN, Ibragimova LI, Shestakova EA, Klefortova II, Sklyanik IA, Yarek-Martynova IY, Severina AS, Martynov SA, Vikulova OK, Kalashnikov VY, Bondarenko IZ, Gomova IS, Starostina EG, Ametov AS, Antsiferov MB, Bardymova TP, Bondar IA, Valeeva FV, Demidova TY, Mkrtumyan AM, Petunina NA, Ruyatkina LA, Suplotova LA, Ushakova OV, Khalimov YS. Diabetes mellitus type 2 in adults. DIABETES MELLITUS 2020. [DOI: 10.14341/dm12507] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Tatiana P. Bardymova
- Irkutsk State Medical Academy of Postgraduate Education – Branch Campus of the Russian Medical Academy of Continuing Professional Education
| | | | | | | | - Ashot M. Mkrtumyan
- Moscow State University of Medicine and Dentistry named after A.I. Evdokimov
| | - Nina A. Petunina
- I.M. Sechenov First Moscow State Medical University (Sechenov University)
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Self-Monitoring of Blood Glucose and Hypoglycemia-Related Hospitalization in a Population-Based Cohort of Canadian Patients With Type 1 or Type 2 Diabetes. Can J Diabetes 2020; 44:335-341.e3. [DOI: 10.1016/j.jcjd.2019.10.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2019] [Revised: 08/14/2019] [Accepted: 10/21/2019] [Indexed: 11/17/2022]
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Abstract
The American Diabetes Association (ADA) "Standards of Medical Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee (https://doi.org/10.2337/dc20-SPPC), are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations, please refer to the Standards of Care Introduction (https://doi.org/10.2337/dc20-SINT). Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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Abstract
Abstract
Chronic disease poses a major burden to patients and health care systems. This review considers how patient self-testing can contribute to the management of chronic disease. Self-testing can only confer benefit if it occurs in the context of an empowered patient who has the skills and training to translate test results into meaningful actions. The benefits may include improved clinical outcomes, greater patient convenience and improved psychological well-being; separately and together these may contribute to reduced costs of care. As self-testing may be expensive and burdensome to patients, it is important that its use in chronic disease is supported by a robust evidence base confirming its utility and efficacy. The design of studies to assess the impact of self-testing poses challenges for the researcher and the quality of evidence presented is often variable. Randomised controlled trials (RCTs) provide more robust evidence than observational studies; the intervention under study is not just self-testing but includes the educational support to allow patients to use results effectively. This review discusses the evidence base relating to patient self-testing in diabetes, anticoagulant monitoring and in renal transplant patients and in particular highlights the impact of new technology developments such as flash glucose monitoring in diabetes.
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Affiliation(s)
- Maurice J. O’Kane
- Clinical Chemistry Laboratory, Altnaglevin Hospital , Western Health and Social Care Trust , Londonderry , Northern Ireland , UK
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Pokhrel S, Shrestha S, Timilsina A, Sapkota M, Bhatt MP, Pardhe BD. Self-Care Adherence And Barriers To Good Glycaemic Control In Nepalese Type 2 Diabetes Mellitus Patients: A Hospital-Based Cross-Sectional Study. J Multidiscip Healthc 2019; 12:817-826. [PMID: 31632050 PMCID: PMC6791337 DOI: 10.2147/jmdh.s216842] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2019] [Accepted: 09/13/2019] [Indexed: 12/14/2022] Open
Abstract
PURPOSE The patient believes in adherence to medication rather than to self-care adherence and lifestyle changes for the management of diabetes. This study was carried out to establish the association of self-care adherence and their barriers in poor glycemic control in our diabetic population. PATIENTS AND METHODS This cross-sectional study was conducted among 480 already diagnosed diabetes outpatients attended in our two hospitals. Glycaemic control was defined by levels of HbA1c. Socio-demographic data, lifestyle variables and anthropometric measurements were recorded using a standard questionnaire. Fasting blood glucose, HbA1c and lipid profiles were estimated using the manufacturer's guideline. Student's t-test and one-way ANOVA were used for comparison between different groups and the correlation was established by Spearman correlation. Risk factors associated with poor glycaemic control were verified by logistic regression analysis. RESULTS The mean HbA1c of the study population was 7.4±1.3% and 65.4% had poor glycaemic control with mean 8.0±1.1%. Higher HbA1c levels were significantly associated with duration of diabetes, a number of drugs used, patient-physician relationship and knowledge about diabetes. The poor glycaemic control was significantly associated with low adherence of following the meal plan, regular medication and regular exercising (p<0.001). Among all the barriers, a too busy schedule for following the meal plan, taking medications and exercising regularly was significantly correlated with HbA1c levels. Multivariable logistic regression analysis showed irregular meal plan (OR=5.27), irregular exercise (OR=2.25), number of medication used (OR= 0.19) and lesser extent patient-physician relationship (OR=2.68) were independent risk factors for poor glycaemic control. CONCLUSION The poor glycaemic control was associated with poor adherence to self-care adherence and their barriers in our diabetic population. Integrated knowledge on diabetes management should be targeted to improve glycaemic control in our communities.
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Affiliation(s)
- Sushant Pokhrel
- Department of Laboratory Medicine, Manmohan Memorial Institute of Health Sciences, Kathmandu, Nepal
| | - Sneha Shrestha
- Department of Laboratory Medicine, Manmohan Memorial Institute of Health Sciences, Kathmandu, Nepal
| | - Alaska Timilsina
- Department of Laboratory Medicine, Manmohan Memorial Institute of Health Sciences, Kathmandu, Nepal
| | - Manisha Sapkota
- Department of Laboratory Medicine, Manmohan Memorial Institute of Health Sciences, Kathmandu, Nepal
| | - Mahendra Prasad Bhatt
- Department of Laboratory Medicine, Manmohan Memorial Institute of Health Sciences, Kathmandu, Nepal
| | - Bashu Dev Pardhe
- Department of Laboratory Medicine, Manmohan Memorial Institute of Health Sciences, Kathmandu, Nepal
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Chamberlain JJ, Doyle-Delgado K, Peterson L, Skolnik N. Diabetes Technology: Review of the 2019 American Diabetes Association Standards of Medical Care in Diabetes. Ann Intern Med 2019; 171:415-420. [PMID: 31404925 DOI: 10.7326/m19-1638] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
DESCRIPTION The American Diabetes Association (ADA) annually updates its Standards of Medical Care in Diabetes to provide clinicians, patients, researchers, payers, and other interested parties with evidence-based recommendations for the diagnosis and management of patients with diabetes. METHODS The ADA Professional Practice Committee comprises physicians, adult and pediatric endocrinologists, diabetes educators, registered dietitians, epidemiologists, pharmacists, and public health experts. To develop the 2019 standards, the committee continuously searched MEDLINE through November 2018 to consider and review studies, particularly high-quality trials including persons with diabetes, for potential incorporation into recommendations. It also solicited feedback from the larger clinical community. RECOMMENDATIONS This synopsis focuses on selected guidance relating to use of diabetes technology in adults with diabetes. Recommendations address self-monitoring of blood glucose, continuous glucose monitors, and automated insulin delivery systems.
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Affiliation(s)
- James J Chamberlain
- St. Mark's Hospital and St. Mark's Diabetes Center, Salt Lake City, Utah (J.J.C., K.D.)
| | - Kacie Doyle-Delgado
- St. Mark's Hospital and St. Mark's Diabetes Center, Salt Lake City, Utah (J.J.C., K.D.)
| | | | - Neil Skolnik
- Abington Memorial Hospital, Jenkintown, Pennsylvania (N.S.)
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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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Xu Y, Tan DHY, Lee JYC. Evaluating the impact of self-monitoring of blood glucose frequencies on glucose control in patients with type 2 diabetes who do not use insulin: A systematic review and meta-analysis. Int J Clin Pract 2019; 73:e13357. [PMID: 31033116 DOI: 10.1111/ijcp.13357] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2018] [Revised: 03/12/2019] [Accepted: 04/24/2019] [Indexed: 11/28/2022] Open
Abstract
AIMS International diabetes guidelines have not established the frequencies of self-monitoring of blood glucose in patients with type 2 diabetes (T2D) who do not use insulin. The present study aimed to assess the impact of self-monitoring of blood glucose (SMBG) frequencies on the glucose control and other outcomes in non-insulin-treated patients with T2D. METHODS A literature search was performed in four databases. Randomised controlled trials with ≥6-month follow-up duration that compared the impact of different frequencies of SMBG on glycated haemoglobin A1c (HbA1c) were included. Studies with abstract only or reported effects of SMBG as a secondary outcome were excluded. RESULTS Of the 1557 studies identified, 12 RCTs with a total of 3350 patients were analysed. Overall, performing SMBG for 8 to 14 times per week was correlated with a better HbA1c control at 6 months (MD -0.46%, 95% CI -0.54 to -0.39) and 12 months (MD -0.20%, 95% CI -0.29 to -0.11). However, up to seven measurements of SMBG per week did not significantly affect glycaemic control. In addition, performing SMBG between 8 and 14 times per week was also associated with improved BMI (MD -0.46, 95% CI -0.84 to -0.08). When the results of SMBG were applied to adjust diabetes medication, a significant reduction in HbA1c levels was observed in the intervention arm compared to the control arm. CONCLUSIONS Eight to 14 measurements of SMBG per week were associated with an improved glycaemic control and a reduced BMI in patients with T2D not using insulin.
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Affiliation(s)
- Yingqi Xu
- Department of Pharmacy, Faculty of Science, National University of Singapore, Singapore, Singapore
| | | | - Joyce Yu-Chia Lee
- Department of Pharmacy, Faculty of Science, National University of Singapore, Singapore, Singapore
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Duxbury J, Baker J, Downe S, Jones F, Greenwood P, Thygesen H, McKeown M, Price O, Scholes A, Thomson G, Whittington R. Minimising the use of physical restraint in acute mental health services: The outcome of a restraint reduction programme (‘REsTRAIN YOURSELF’). Int J Nurs Stud 2019; 95:40-48. [DOI: 10.1016/j.ijnurstu.2019.03.016] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2018] [Revised: 03/17/2019] [Accepted: 03/21/2019] [Indexed: 11/16/2022]
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Blutzuckerselbstkontrolle (Update 2019). Wien Klin Wochenschr 2019; 131:115-118. [DOI: 10.1007/s00508-018-1436-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Parsons SN, Luzio SD, Harvey JN, Bain SC, Cheung WY, Watkins A, Owens DR. Effect of structured self-monitoring of blood glucose, with and without additional TeleCare support, on overall glycaemic control in non-insulin treated Type 2 diabetes: the SMBG Study, a 12-month randomized controlled trial. Diabet Med 2019; 36:578-590. [PMID: 30653704 PMCID: PMC6593419 DOI: 10.1111/dme.13899] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/14/2019] [Indexed: 12/20/2022]
Abstract
AIM To examine the impact of structured self-monitoring of blood glucose, with or without TeleCare support, on glycaemic control in people with sub-optimally controlled Type 2 diabetes. METHODS We conducted a 12-month, multicentre, randomized controlled trial in people with established (>1 year) Type 2 diabetes not on insulin therapy, with sub-optimal glycaemic control [HbA1c ≥58 to ≤119 mmol/mol (≥7.5% to ≤13%)]. A total of 446 participants were randomized to a control group (n =151) receiving usual diabetes care, a group using structured self-monitoring of blood glucose alone (n =147) or a group using structured self-monitoring of blood glucose with additional monthly 'TeleCare' support (n =148). The primary outcome was HbA1c at 12 months. RESULTS A total of 323 participants (72%) completed the study; 116 (77%) in the control group, 99 (67%) in the self-monitoring of blood glucose alone group and 108 (73%) in the self-monitoring of blood glucose plus TeleCare group. Compared to baseline, the mean HbA1c was lower in all groups at 12 months, with reductions of 3.3 mmol/mol (95% CI -5.71 to -0.78) or 0.3% (95% CI -0.52 to -0.07; P=0.01) in the control group, 11.4 mmol/mol (95% CI -14.11 to -8.76) or 1.1% (-1.29 to -0.81; P<0.0001) in the group using self-monitoring of blood glucose alone and 12.8 mmol/mol (95% CI -15.34 to -10.31) or 1.2% (95% CI -1.40 to -0.94; P<0.0001) in the group using self-monitoring of blood glucose plus TeleCare. This represents a reduction in HbA1c of 8.9 mmol/mol (95% CI -11.97 to -5.84) or 0.8% (95% CI -1.10 to -0.54; P≤0.0001) with structured self-monitoring of blood glucose compared to the control group. Participants with lower baseline HbA1c , shorter duration of diabetes and higher educational achievement were more likely to achieve HbA1c ≤53 mmol/mol (7.0%). CONCLUSIONS Structured self-monitoring of blood glucose provides clinical and statistical improvements in glycaemic control in Type 2 diabetes. No additional benefit, over and above the use of structured self-monitoring of blood glucose, was observed in glycaemic control with the addition of once-monthly TeleCare support. (Clinical trial registration no.: ISRCTN21390608).
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Affiliation(s)
| | - S. D. Luzio
- Diabetes Research GroupSwansea UniversitySwansea
| | - J. N. Harvey
- Diabetes CentreWrexham Maelor HospitalBetsi Cadwaladr University Health BoardBangorUK
| | - S. C. Bain
- Diabetes Research GroupSwansea UniversitySwansea
| | - W. Y. Cheung
- Diabetes Research GroupSwansea UniversitySwansea
| | - A. Watkins
- Swansea Trials UnitSwansea UniversitySwanseaUK
| | - D. R. Owens
- Diabetes Research GroupSwansea UniversitySwansea
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Tomah S, Mahmoud N, Mottalib A, Pober DM, Tasabehji MW, Ashrafzadeh S, Hamdy O. Frequency of self-monitoring of blood glucose in relation to weight loss and A1C during intensive multidisciplinary weight management in patients with type 2 diabetes and obesity. BMJ Open Diabetes Res Care 2019; 7:e000659. [PMID: 31413841 PMCID: PMC6673765 DOI: 10.1136/bmjdrc-2019-000659] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2019] [Revised: 07/01/2019] [Accepted: 07/12/2019] [Indexed: 01/07/2023] Open
Abstract
OBJECTIVE We evaluated the relationship between frequency of self-monitoring of blood glucose (SMBG) and body weight, A1C, and cardiovascular risk factors in patients with type 2 diabetes (T2D) and obesity enrolled in a 12-week intensive multidisciplinary weight management (IMWM) program. RESEARCH DESIGN AND METHODS We conducted a retrospective analysis of 42 patients who electronically uploaded their SMBG data over 12 weeks of an IMWM program and divided them into tertiles based on their average frequency of SMBG per day. Mean (range) SMBG frequencies were 2.3 (1.1-2.9) times/day, 3.4 (3-3.9) times/day, and 5 (4-7.7) times/day in the lowest, middle, and highest tertiles, respectively. Anthropometric and metabolic parameters were measured at baseline and after 12 weeks of intervention. RESULTS Participants in the highest tertile achieved a median change (IQR) in body weight of -10.4 kg (-7.6 to -14.4 kg) compared with -8.3 kg (-5.2 to -12.2 kg), and -6.9 kg (-4.2 to -8.9 kg) in the middle and lowest tertiles, respectively (p=0.018 for trend). Participants in the highest tertile had a median change (IQR) in A1C of -1.25% (-0.6 to -3.1%) compared with -0.8% (-0.3% to -2%) and -0.5% (-0.2% to -1.2%) in the middle and lowest tertiles, respectively (p=0.048 for trend). The association between change in body weight and SMBG frequency remained significant after adjusting for age, sex, baseline body mass index, diabetes duration, and use of insulin therapy. CONCLUSIONS Increased frequency of SMBG during IMWM is associated with significantly better weight loss and improvement of A1C in patients with T2D and obesity. These findings may suggest future clinical recommendations aimed at increasing SMBG frequency to achieve the most favorable outcomes.
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Affiliation(s)
- Shaheen Tomah
- Section on Clinical, Behavioral and Outcomes Research, Joslin Diabetes Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Noor Mahmoud
- Section on Clinical, Behavioral and Outcomes Research, Joslin Diabetes Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Adham Mottalib
- Section on Clinical, Behavioral and Outcomes Research, Joslin Diabetes Center, Harvard Medical School, Boston, Massachusetts, USA
- Department of Medicine, Lahey Hospital and Medical Center, Burlington, Massachusetts, USA
| | - David M Pober
- Section on Clinical, Behavioral and Outcomes Research, Joslin Diabetes Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Mhd Wael Tasabehji
- Section on Clinical, Behavioral and Outcomes Research, Joslin Diabetes Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Sahar Ashrafzadeh
- Section on Clinical, Behavioral and Outcomes Research, Joslin Diabetes Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Osama Hamdy
- Section on Clinical, Behavioral and Outcomes Research, Joslin Diabetes Center, Harvard Medical School, Boston, Massachusetts, USA
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Abstract
The American Diabetes Association (ADA) "Standards of Medical Care in Diabetes" includes ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations, please refer to the Standards of Care Introduction Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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Midyett K, Unger JR, Wright EE, Daniel TD, Kruger DF, Henry RR, Hegazi RA. A Pilot Study to Assess Clinical Utility and User Experience of Professional Continuous Glucose Monitoring Among People With Type 2 Diabetes. Clin Diabetes 2019; 37:57-64. [PMID: 30705498 PMCID: PMC6336116 DOI: 10.2337/cd18-0006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
IN BRIEF Glucose variability is a potential independent risk factor of poor clinical outcome among people with diabetes, with adequate measurement technically difficult and cumbersome. For this study, a novel 14-day continuous sensor was used to assess glucose variability among people with type 2 diabetes (T2D). The aim was to characterize glucose profiles for up to 2 weeks in T2D and to survey device utilization in a standard clinical setting and its potential to collect clinically meaningful data.
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Affiliation(s)
- Kurt Midyett
- Midwest Women’s & Children’s Specialty Group, Overland Park, KS
| | - Jeffrey R. Unger
- Unger Primary Care Medical Center and Catalina Research Institute, Chino, CA
| | - Eugene E. Wright
- Duke Southern Regional Area Health Education Center, Fayetteville, NC
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Tanaka N, Yabe D, Murotani K, Ueno S, Kuwata H, Hamamoto Y, Kurose T, Takahashi N, Akashi T, Matsuoka T, Osonoi T, Minami M, Shimono D, Seino Y. Mental distress and health-related quality of life among type 1 and type 2 diabetes patients using self-monitoring of blood glucose: A cross-sectional questionnaire study in Japan. J Diabetes Investig 2018; 9:1203-1211. [PMID: 29493881 PMCID: PMC6123045 DOI: 10.1111/jdi.12827] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2017] [Revised: 01/18/2018] [Accepted: 02/20/2018] [Indexed: 12/01/2022] Open
Abstract
AIMS/INTRODUCTION The present multicenter, cross-sectional survey was initiated to evaluate self-monitoring of blood glucose (SMBG)-associated mental distress among patients with diabetes. MATERIALS AND METHODS The survey was carried out in patients with type 1 diabetes and type 2 diabetes using SMBG recruited from 42 medical institutions. Profiles of Mood States 2 and diabetes therapy-related quality of life questionnaires were used to evaluate mood status and health-related quality of life. Two original questionnaires were also developed to evaluate SMBG 'importance,' 'painfulness' and 'confidence' among patients, and to evaluate physician attitudes to SMBG use. RESULTS Questionnaires from 517 type 1 diabetes and 1,648 type 2 diabetes patients showed that 46.0% of type 1 diabetes and 37.5% of type 2 diabetes patients reported 'painfulness,' and that these patients reporting 'painfulness' showed significantly higher Profiles of Mood States 2 scores, lower diabetes therapy-related quality of life scores and higher glycated hemoglobin compared with those not reporting 'painfulness,' whereas the number of their daily SMBG tests were comparable. Patients reporting 'painfulness' also reported that SMBG use was significantly less important. Whether or not patients recognized the importance of SMBG use was well correlated with the frequency of physicians checking patient diaries. CONCLUSIONS Type 1 diabetes and type 2 diabetes patients reporting 'painfulness' in SMBG use had more mental distress, lower health-related quality of life and higher glycated hemoglobin regardless of their number of daily SMBG tests. The importance of SMBG use was recognized less by patients experiencing pain, and the importance of SMBG use was recognized more in medical institutions in which physicians regularly checked SMBG diaries to provide meaningful feedback to patients in clinical settings.
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Affiliation(s)
- Nagaaki Tanaka
- Yutaka Seino Distinguished Center for Diabetes ResearchKansai Electric Power Medical Research InstituteKobeJapan
- Center for Diabetes, Endocrinology and MetabolismKansai Electric Power HospitalOsakaJapan
| | - Daisuke Yabe
- Yutaka Seino Distinguished Center for Diabetes ResearchKansai Electric Power Medical Research InstituteKobeJapan
| | - Kenta Murotani
- Division of BiostatisticsClinical Research CenterAichi Medical University HospitalNagakuteJapan
| | - Shinji Ueno
- Yutaka Seino Distinguished Center for Diabetes ResearchKansai Electric Power Medical Research InstituteKobeJapan
- Center for Diabetes, Endocrinology and MetabolismKansai Electric Power HospitalOsakaJapan
| | - Hitoshi Kuwata
- Yutaka Seino Distinguished Center for Diabetes ResearchKansai Electric Power Medical Research InstituteKobeJapan
- Center for Diabetes, Endocrinology and MetabolismKansai Electric Power HospitalOsakaJapan
| | - Yoshiyuki Hamamoto
- Yutaka Seino Distinguished Center for Diabetes ResearchKansai Electric Power Medical Research InstituteKobeJapan
- Center for Diabetes, Endocrinology and MetabolismKansai Electric Power HospitalOsakaJapan
- Center for Metabolism and Clinical NutritionKansai Electric Power HospitalOsakaJapan
| | - Takeshi Kurose
- Yutaka Seino Distinguished Center for Diabetes ResearchKansai Electric Power Medical Research InstituteKobeJapan
- Center for Diabetes, Endocrinology and MetabolismKansai Electric Power HospitalOsakaJapan
| | | | | | | | | | | | | | - Yutaka Seino
- Yutaka Seino Distinguished Center for Diabetes ResearchKansai Electric Power Medical Research InstituteKobeJapan
- Center for Diabetes, Endocrinology and MetabolismKansai Electric Power HospitalOsakaJapan
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Ebell MH, Barry HC, Shaughnessy AF, Slawson DC, Kulkarni N, Speer L. Top 20 POEMs of the Past 20 Years: A Survey of Practice-Changing Research for Family Physicians. Ann Fam Med 2018; 16:436-439. [PMID: 30201640 PMCID: PMC6131003 DOI: 10.1370/afm.2288] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2018] [Revised: 04/30/2018] [Accepted: 05/17/2018] [Indexed: 12/29/2022] Open
Abstract
POEMs (patient-oriented evidence that matters) are studies that address a relevant clinical question, demonstrate improved patient-oriented outcomes, and have the potential to change practice. For 20 years the authors of this article have reviewed more than 100 English language clinical journals monthly to identify POEMs in the medical literature relevant to primary care practice. This article identifies the POEMs in each of the last 20 years that were highest ranked for having recommended a major and persistent change in practice that year. They include POEMs that recommend a novel, effective intervention, a second group that recommends abandoning an ineffective practice, and a third group that recommends abandoning a potentially harmful practice. The top POEMs of the past 20 years illustrate the breadth of practice change in primary care and the need for family physicians to have a systematic approach to keeping up with the medical literature, such as that in POEMs, especially because many of these important articles did not appear in the primary care literature.
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Affiliation(s)
- Mark H Ebell
- College of Public Health, University of Georgia, Athens, Georgia
| | - Henry C Barry
- Department of Family Medicine, Michigan State University College of Human Medicine, East Lansing, Michigan
| | - Allen F Shaughnessy
- Department of Family Medicine, Tufts University School of Medicine, Boston, Massachusetts
| | - David C Slawson
- Family Medicine, The University of North Carolina, Carolinas HealthCare System, Charlotte, North Carolina
| | - Nita Kulkarni
- Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - Linda Speer
- Department of Family Medicine, College of Medicine and Life Sciences, University of Toledo, Toledo, Ohio
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RSSDI consensus on self-monitoring of blood glucose in types 1 and 2 diabetes mellitus in India. Int J Diabetes Dev Ctries 2018. [DOI: 10.1007/s13410-018-0677-3] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
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Machry RV, Rados DV, Gregório GRD, Rodrigues TC. Self-monitoring blood glucose improves glycemic control in type 2 diabetes without intensive treatment: A systematic review and meta-analysis. Diabetes Res Clin Pract 2018; 142:173-187. [PMID: 29857093 DOI: 10.1016/j.diabres.2018.05.037] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2017] [Revised: 04/29/2018] [Accepted: 05/22/2018] [Indexed: 11/15/2022]
Abstract
AIMS Systematic review and meta-analysis to evaluate the effect of Self-Monitoring of Blood Glucose (SMBG) on glycemic control in patients with type 2 Diabetes (T2D). METHODS We searched the Medline, Embase, Cochrane Central, and ClinicalTrials.gov databases up to 20 July 2017. We also performed a manual search of abstracts from recent meetings of the American Diabetes Association and the European Association for the Study of Diabetes. STUDY SELECTION randomized controlled trials (RCTs) conducted in patients with T2D comparing any kind of SMBG to a control group. Two independent reviewers assessed the eligibility of references. Influence of SMBG in glycated hemoglobin (HbA1c) was aggregated as weighted mean difference accessed by direct random effect meta-analyses at 12, 24 weeks and 1 year. Sub-analyses were made to assess the effects of previous glycemic control and number of tests performed. RESULTS SMBG was associated with a reduction of HbA1c at 12 weeks (-0.31%; 95% CI: -0.57 to -0.05) and 24 weeks (-0.34%; 95%CI: -0.52 to -0.17), but no difference was found for 1 year. Subgroup analysis including studies with baseline HbA1c greater than 8% showed a higher reduction of HbA1c: -0.83% (95% CI: -1.55 to -0.11) at 12 weeks, and -0.48% (95% CI: -0.77 to -0.19) at 24 weeks, with no difference for 1 year nor for the stratification for number the tests. CONCLUSION SMBG seems to lead to a slightly better glycemic control in the short term in patients with T2D. Patients decompensated at baseline appear to have the greatest benefit. PROSPERO register: CRD42016033558.
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Affiliation(s)
- Rafael Vaz Machry
- Post Graduate Program in Medical Sciences - Endocrinology, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil; Department of Internal Medicine, Medical School, Universidade Federal de Santa Maria, Santa Maria, RS, Brazil.
| | - Dimitris Varvaki Rados
- Post Graduate Program in Medical Sciences - Endocrinology, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil; Division of Internal Medicine, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | | | - Ticiana Costa Rodrigues
- Post Graduate Program in Medical Sciences - Endocrinology, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil; Division of Endocrinology, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil; Department of Internal Medicine, Medical School, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
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Yetisen AK, Martinez‐Hurtado JL, Ünal B, Khademhosseini A, Butt H. Wearables in Medicine. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2018; 30:e1706910. [PMID: 29893068 PMCID: PMC6541866 DOI: 10.1002/adma.201706910] [Citation(s) in RCA: 192] [Impact Index Per Article: 32.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/25/2017] [Revised: 02/14/2018] [Indexed: 05/21/2023]
Abstract
Wearables as medical technologies are becoming an integral part of personal analytics, measuring physical status, recording physiological parameters, or informing schedule for medication. These continuously evolving technology platforms do not only promise to help people pursue a healthier life style, but also provide continuous medical data for actively tracking metabolic status, diagnosis, and treatment. Advances in the miniaturization of flexible electronics, electrochemical biosensors, microfluidics, and artificial intelligence algorithms have led to wearable devices that can generate real-time medical data within the Internet of things. These flexible devices can be configured to make conformal contact with epidermal, ocular, intracochlear, and dental interfaces to collect biochemical or electrophysiological signals. This article discusses consumer trends in wearable electronics, commercial and emerging devices, and fabrication methods. It also reviews real-time monitoring of vital signs using biosensors, stimuli-responsive materials for drug delivery, and closed-loop theranostic systems. It covers future challenges in augmented, virtual, and mixed reality, communication modes, energy management, displays, conformity, and data safety. The development of patient-oriented wearable technologies and their incorporation in randomized clinical trials will facilitate the design of safe and effective approaches.
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Affiliation(s)
- Ali K. Yetisen
- Institute for Measurement Systems and Sensor TechnologyTechnische Universität MünchenTheresienstrasse 90Munich80333Germany
- School of Chemical EngineeringThe University of BirminghamEdgbastonBirminghamB15 2TTUK
- Institute of Translational MedicineMindelsohn Way, EdgbastonBirminghamB15 2THUK
| | | | - Barış Ünal
- Triton Systems Inc.200 Turnpike Rd.ChelmsfordMA01824USA
| | - Ali Khademhosseini
- Department of BioengineeringDepartment of RadiologyDepartment of Chemical and Biomolecular EngineeringUniversity of CaliforniaLos AngelesCA90095USA
| | - Haider Butt
- Nanotechnology LaboratorySchool of EngineeringUniversity of BirminghamBirminghamB15 2TTUK
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Song YS, Koo BK, Kim SW, Yi KH, Shin K, Moon MK. Improvement of Glycosylated Hemoglobin in Patients with Type 2 Diabetes Mellitus under Insulin Treatment by Reimbursement for Self-Monitoring of Blood Glucose. Diabetes Metab J 2018; 42:28-42. [PMID: 29199404 PMCID: PMC5842298 DOI: 10.4093/dmj.2018.42.1.28] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2017] [Accepted: 08/07/2017] [Indexed: 01/23/2023] Open
Abstract
BACKGROUND In Korea, the costs associated with self-monitoring of blood glucose (SMBG) for patients with type 2 diabetes mellitus (T2DM) under insulin treatment have been reimbursed since November 2015. We investigated whether this new reimbursement program for SMBG has improved the glycemic control in the beneficiaries of this policy. METHODS Among all adult T2DM patients with ≥3 months of reimbursement (n=854), subjects without any changes in anti-hyperglycemic agents during the study period were selected. The improvement of glycosylated hemoglobin (HbA1c) was defined as an absolute reduction in HbA1c ≥0.6% or an HbA1c level at follow-up <7%. RESULTS HbA1c levels significantly decreased from 8.5%±1.3% to 8.2%±1.2% during the follow-up (P<0.001) in all the study subjects (n=409). Among them, 35.5% (n=145) showed a significant improvement in HbA1c. Subjects covered under the Medical Aid system showed a higher prevalence of improvement in HbA1c than those with medical insurance (52.2% vs. 33.3%, respectively, P=0.012). In the improvement group, the baseline HbA1c (P<0.001), fasting C-peptide (P=0.016), and daily dose of insulin/body weight (P=0.024) showed significant negative correlations with the degree of HbA1c change. Multivariate analysis showed that subjects in the Medical Aid system were about 2.5-fold more likely to improve in HbA1c compared to those with medical insurance (odds ratio, 2.459; 95% confidence interval, 1.138 to 5.314; P=0.022). CONCLUSION The reimbursement for SMBG resulted in a significant improvement in HbA1c in T2DM subjects using insulin, which was more prominent in subjects with poor glucose control at baseline or covered under the Medical Aid system.
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Affiliation(s)
- Young Shin Song
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Bo Kyung Koo
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
- Department of Internal Medicine, Seoul Metropolitan Government Boramae Medical Center, Seoul, Korea
- Center for Medical Informatics, Seoul Metropolitan Government Boramae Medical Center, Seoul, Korea
| | - Sang Wan Kim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
- Department of Internal Medicine, Seoul Metropolitan Government Boramae Medical Center, Seoul, Korea
| | - Ka Hee Yi
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
- Department of Internal Medicine, Seoul Metropolitan Government Boramae Medical Center, Seoul, Korea
| | - Kichul Shin
- Department of Internal Medicine, Seoul Metropolitan Government Boramae Medical Center, Seoul, Korea
- Center for Medical Informatics, Seoul Metropolitan Government Boramae Medical Center, Seoul, Korea
| | - Min Kyong Moon
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
- Department of Internal Medicine, Seoul Metropolitan Government Boramae Medical Center, Seoul, Korea.
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Mannucci E, Antenore A, Giorgino F, Scavini M. Effects of Structured Versus Unstructured Self-Monitoring of Blood Glucose on Glucose Control in Patients With Non-insulin-treated Type 2 Diabetes: A Meta-Analysis of Randomized Controlled Trials. J Diabetes Sci Technol 2018; 12:183-189. [PMID: 28697625 PMCID: PMC5761981 DOI: 10.1177/1932296817719290] [Citation(s) in RCA: 59] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
BACKGROUND The use of self-monitoring of blood glucose (SMBG) in patients with non-insulin-treated type 2 diabetes is debated. Meta-analyses of randomized clinical trials (RCTs) suggest a small reduction of HbA1c in patients using SMBG, without considering potential confounders, such as SMBG regimen and use of SMBG data to adjust diabetes medications. METHODS A meta-analysis was performed including RCTs in patients with non-insulin-treated type 2 diabetes, with an intervention of ≥24 weeks and HbA1c as the primary endpoint, to verify the effect of SMBG (vs no monitoring), structured SMBG (vs unstructured), and of SMBG-driven therapy adjustments. RESULTS In RCTs (n = 8) comparing SMBG with no SMBG (1277 and 1072 patients, respectively), SMBG reduced HbA1c by -0.17% (95% CI -0.25 to -0.09%, P < .003). The reduction in HbA1c was greater in RCTs (n = 3) in which SMBG data were used to adjust diabetes medications (HbA1c decrease: -0.3% [95% CI -0.49 to -0.1%]) than in RCTs (n = 6) where SMBG data were not used for this purpose (HbA1c decrease: -0.1% [95% CI -0.2 to 0.0%]) ( P < .005). In the RCTs comparing structured and unstructured SMBG (757 and 750 patients, respectively), in which structured SMBG data were also used to adjust diabetes medications, the HbA1c difference between groups at study end was -0.27% (95% CI -0.49 to -0.04%, P < .018). CONCLUSIONS In RCTs performed in non-insulin-treated patients with type 2 diabetes, SMBG is associated with a significant, although small, reduction in HbA1c. HbA1c reduction was greater with structured SMBG and when structured SMBG data were used to adjust diabetes therapy.
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Affiliation(s)
| | | | - Francesco Giorgino
- Department of Emergency and Organ Transplantation, Section of Internal Medicine, Endocrinology, Andrology and Metabolic Diseases, University of Bari Aldo Moro, Bari, Italy
| | - Marina Scavini
- Diabetes Research Institute, San Raffaele Hospital & Scientific Institute, Milan, Italy
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