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Coppola A, Chuquitaype M, Guglielmo S, Pujia R, Ferrulli A, Falcone C, Maurotti S, Montalcini T, Luzi L, Gazzaruso C. Therapeutic patient education and treatment intensification of diabetes and hypertension in subjects with newly diagnosed type 2 diabetes mellitus: a longitudinal study. Endocrine 2024; 86:127-134. [PMID: 38656749 DOI: 10.1007/s12020-024-03839-8] [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: 01/20/2024] [Accepted: 04/15/2024] [Indexed: 04/26/2024]
Abstract
PURPOSE The aim of this study is to prospectively evaluate whether individual and group Therapeutic Patient Education (TPE) can reduce the need to intensify treatment of diabetes and hypertension in newly diagnosed type 2 diabetic patients. METHODS A total of 937 patients were recruited and followed-up for 42.7 ± 21.5 months. TPE was a structured comprehensive education delivered by trained nurses: 322 patients received individual TPE (ITPE), 291 underwent group TPE (GTPE), and 324 were in Usual Care (UC). The primary endpoints were intensification of diabetes treatment and intensification of hypertension treatment. RESULTS The rate of diabetes treatment intensification was 40.1% in patients receiving ITPE, 47.8% in patients undergoing GTPE, and 64.2% in patients in UC (p < 0.001). The rate of hypertension treatment intensification was 24.2% in patients following ITPE, 31.3% in patients receiving GTPE, and 41.0% in patients in UC (p < 0.001). Multivariate analysis showed that both ITPE and GTPE were associated with reduced intensification of diabetes (ITPE: HR:0.51; 95% IC:0.40-0.64; p < 0.001 - GTPE: HR:0.46; 95% IC:0.44-0.70; p < 0.001) and hypertension medication (ITPE: HR:0.45; 95% IC:0.34-0.61; p < 0.001 - GTPE: HR:0.49; 95% IC:0.38-0.65; p < 0.001). The association was independent of age, sex, BMI, HbA1c, and presence of hypertension at baseline. CONCLUSIONS TPE, delivered as both individual and group sessions, represents an effective tool to reduce the need to intensify treatment of both diabetes and hypertension. Therefore, it can ensure better control of diabetes and hypertension with fewer medications. This could reduce adverse effects and costs and improve quality of life and medication taking in patients with type 2 diabetes.
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Affiliation(s)
- Adriana Coppola
- Diabetes and endocrine-metabolic Diseases Unit, Istituto Clinico Beato Matteo, Gruppo Ospedaliero San Donato, Vigevano, Italy.
| | - Maritza Chuquitaype
- Diabetes and endocrine-metabolic Diseases Unit, Istituto Clinico Beato Matteo, Gruppo Ospedaliero San Donato, Vigevano, Italy
| | - Selene Guglielmo
- Diabetes and endocrine-metabolic Diseases Unit, Istituto Clinico Beato Matteo, Gruppo Ospedaliero San Donato, Vigevano, Italy
| | - Roberta Pujia
- Department of Experimental and Clinical Medicine, University Magna Græcia of Catanzaro, Catanzaro, Italy
| | - Anna Ferrulli
- Department of Endocrinology, IRCCS Multimedica, Milan, Italy
- Department of Biomedical Sciences for Health, University of Milan, Milan, Italy
| | - Colomba Falcone
- CIRMC, University of Pavia, Pavia, Italy
- Cardiology Unit, Istituto di Cura Città di Pavia, Gruppo Ospedaliero San Donato, Pavia, Italy
| | - Samantha Maurotti
- Department of Experimental and Clinical Medicine, University Magna Græcia of Catanzaro, Catanzaro, Italy
| | - Tiziana Montalcini
- Department of Experimental and Clinical Medicine, University Magna Græcia of Catanzaro, Catanzaro, Italy
| | - Livio Luzi
- Department of Endocrinology, IRCCS Multimedica, Milan, Italy
- Department of Biomedical Sciences for Health, University of Milan, Milan, Italy
| | - Carmine Gazzaruso
- Diabetes and endocrine-metabolic Diseases Unit, Istituto Clinico Beato Matteo, Gruppo Ospedaliero San Donato, Vigevano, Italy
- Department of Biomedical Sciences for Health, University of Milan, Milan, Italy
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Tang MY, Graham F, O'Donnell A, Beyer F, Richmond C, Dhami R, Sniehotta FF, Kaner EFS. Effectiveness of shared medical appointments delivered in primary care for improving health outcomes in patients with long-term conditions: a systematic review of randomised controlled trials. BMJ Open 2024; 14:e067252. [PMID: 38453205 PMCID: PMC10921542 DOI: 10.1136/bmjopen-2022-067252] [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: 08/10/2022] [Accepted: 02/21/2024] [Indexed: 03/09/2024] Open
Abstract
OBJECTIVES To examine the effectiveness of shared medical appointments (SMAs) compared with one-to-one appointments in primary care for improving health outcomes and reducing demand on healthcare services by people with one or more long-term conditions (LTCs). DESIGN A systematic review of the published literature. DATA SOURCES Six databases, including MEDLINE and Web of Science, were searched 2013-2023. Relevant pre-2013 trials identified by forward and backward citation searches of the included trials were included. ELIGIBILITY CRITERIA Randomised controlled trials of SMAs delivered in a primary care setting involving adults over 18 years with one or more LTCs. Studies were excluded if the SMA did not include one-to-one patient-clinician time. All countries were eligible for inclusion. DATA EXTRACTION AND SYNTHESIS Data were extracted and outcomes narratively synthesised, meta-analysis was undertaken where possible. RESULTS Twenty-nine unique trials were included. SMA models varied in terms of components, mode of delivery and target population. Most trials recruited patients with a single LTC, most commonly diabetes (n=16). There was substantial heterogeneity in outcome measures. Meta-analysis showed that participants in SMA groups had lower diastolic blood pressure than those in usual care (d=-0.086, 95% CI=-0.16 to -0.02, n=10) (p=0.014). No statistically significant differences were found across other outcomes. Compared with usual care, SMAs had no significant effect on healthcare service use. For example, no difference between SMAs and usual care was found for admissions to emergency departments at follow-up (d=-0.094, 95% CI=-0.27 to 0.08, n=6, p=0.289). CONCLUSIONS There was a little difference in the effectiveness of SMAs compared with usual care in terms of health outcomes or healthcare service use in the short-term (range 12 weeks to 24 months). To strengthen the evidence base, future studies should include a wider array of LTCs, standardised outcome measures and more details on SMA components to help inform economic evaluation. PROSPERO REGISTRATION NUMBER CRD42020173084.
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Affiliation(s)
- Mei Yee Tang
- NIHR Policy Research Unit in Behavioural Science, Newcastle University, Newcastle upon Tyne, UK
- School of Psychology, University of Leeds, Leeds, UK
| | - Fiona Graham
- NIHR Policy Research Unit in Behavioural Science, Newcastle University, Newcastle upon Tyne, UK
| | - Amy O'Donnell
- NIHR Policy Research Unit in Behavioural Science, Newcastle University, Newcastle upon Tyne, UK
| | - Fiona Beyer
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Catherine Richmond
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Raenhha Dhami
- NIHR Policy Research Unit in Behavioural Science, Newcastle University, Newcastle upon Tyne, UK
- Department of Public Health, Preventive and Social Medicine, Heidelberg University, Mannheim, Germany
| | - Falko F Sniehotta
- NIHR Policy Research Unit in Behavioural Science, Newcastle University, Newcastle upon Tyne, UK
- Department of Public Health, Preventive and Social Medicine, Heidelberg University, Mannheim, Germany
| | - Eileen F S Kaner
- NIHR Policy Research Unit in Behavioural Science, Newcastle University, Newcastle upon Tyne, UK
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Jing T, Zhang S, Bai M, Chen Z, Gao S, Li S, Zhang J. Effect of Dietary Approaches on Glycemic Control in Patients with Type 2 Diabetes: A Systematic Review with Network Meta-Analysis of Randomized Trials. Nutrients 2023; 15:3156. [PMID: 37513574 PMCID: PMC10384204 DOI: 10.3390/nu15143156] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 07/07/2023] [Accepted: 07/13/2023] [Indexed: 07/30/2023] Open
Abstract
BACKGROUND Dietary patterns play a critical role in diabetes management, while the best dietary pattern for Type 2 diabetes (T2DM) patients is still unclear. The aim of this network meta-analysis was to compare the impacts of various dietary approaches on the glycemic control of T2DM patients. METHODS Relevant studies were retrieved from PubMed, Embase, Web of Knowledge, Cochrane Central Register of Controlled Trials (CENTRAL), and other additional records (1949 to 31 July 2022). Eligible RCTs were those comparing different dietary approaches against each other or a control diet in individuals with T2DM for at least 6 months. We assessed the risk of bias of included studies with the Cochrane risk of bias tool and confidence of estimates with the Grading of Recommendations Assessment, Development, and Evaluation approach for network meta-analyses. In order to determine the pooled effect of each dietary approach relative to each other, we performed a network meta-analysis (NMA) for interventions for both HbA1c and fasting glucose, which enabled us to estimate the relative intervention effects by combing both direct and indirect trial evidence. RESULTS Forty-two RCTs comprising 4809 patients with T2DM were included in the NMA, comparing 10 dietary approaches (low-carbohydrate, moderate-carbohydrate, ketogenic, low-fat, high-protein, Mediterranean, Vegetarian/Vegan, low glycemic index, recommended, and control diets). In total, 83.3% of the studies were at a lower risk of bias or had some concerns. Findings of the NMA revealed that the ketogenic, low-carbohydrate, and low-fat diets were significantly effective in reducing HbA1c (viz., -0.73 (-1.19, -0.28), -0.69 (-1.32, -0.06), and -1.82 (-2.93, -0.71)), while moderate-carbohydrate, low glycemic index, Mediterranean, high-protein, and low-fat diets were significantly effective in reducing fasting glucose (viz., -1.30 (-1.92, -0.67), -1.26 (-2.26, -0.27), -0.95 (-1.51, -0.38), -0.89 (-1.60, -0.18) and -0.75 (-1.24, -0.27)) compared to a control diet. The clustered ranking plot for combined outcomes indicated the ketogenic, Mediterranean, moderate-carbohydrate, and low glycemic index diets had promising effects for controlling HbA1c and fasting glucose. The univariate meta-regressions showed that the mean reductions of HbA1c and fasting glucose were only significantly related to the mean weight change of the subjects. CONCLUSIONS For glycemic control in T2DM patients, the ketogenic diet, Mediterranean diet, moderate-carbohydrate diet, and low glycemic index diet were effective options. Although this study found the ketogenic diet superior, further high-quality and long-term studies are needed to strengthen its credibility.
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Affiliation(s)
- Tiantian Jing
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China; (T.J.)
| | - Shunxing Zhang
- Department of Global Public Health/Media, Culture, and Communication, Steinhardt School of Culture, Education, and Human Development, New York University, New York, NY 10016, USA
| | - Mayangzong Bai
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China; (T.J.)
| | - Zhongwan Chen
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China; (T.J.)
| | - Sihan Gao
- School of Public Health, University of Washington Seattle Campus, Seattle, WA 98105, USA
| | - Sisi Li
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China; (T.J.)
| | - Jing Zhang
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China; (T.J.)
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Hartmann-Boyce J, Theodoulou A, Oke JL, Butler AR, Bastounis A, Dunnigan A, Byadya R, Cobiac LJ, Scarborough P, Hobbs FR, Sniehotta FF, Jebb SA, Aveyard P. Long-Term Effect of Weight Regain Following Behavioral Weight Management Programs on Cardiometabolic Disease Incidence and Risk: Systematic Review and Meta-Analysis. Circ Cardiovasc Qual Outcomes 2023; 16:e009348. [PMID: 36974678 PMCID: PMC10106109 DOI: 10.1161/circoutcomes.122.009348] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Accepted: 01/13/2023] [Indexed: 03/29/2023]
Abstract
BACKGROUND Behavioral weight management programs (BWMPs) enhance weight loss in the short term, but longer term cardiometabolic effects are uncertain as weight is commonly regained. We assessed the impact of weight regain after BWMPs on cardiovascular risk factors, diabetes, and cardiovascular disease. METHODS Trial registries, 11 databases, and forward-citation searching (latest search, December 19) were used to identify articles published in English, from any geographical region. Randomized trials of BWMPs in adults with overweight/obesity reporting cardiometabolic outcomes at ≥12 months at and after program end were included. Differences between more intensive interventions and comparator groups were synthesized using mixed-effects, meta-regression, and time-to-event models to assess the impact of weight regain on cardiovascular disease incidence and risk. RESULTS One hundred twenty-four trials reporting on ≥1 cardiometabolic outcomes with a median follow-up of 28 (range, 11-360) months after program end were included. Median baseline participant body mass index was 33 kg/m2; median age was 51 years. Eight and 15 study arms (7889 and 4202 participants, respectively) examined the incidence of cardiovascular disease and type 2 diabetes, respectively, with imprecise evidence of a lower incidence for at least 5 years. Weight regain in BWMPs relative to comparators reduced these differences. One and 5 years after program end, total cholesterol/HDL (high-density lipoprotein) ratio was 1.5 points lower at both times (82 studies; 19 003 participants), systolic blood pressure was 1.5 mm mercury and 0.4 mm lower (84 studies; 30 836 participants), and HbA1c (%) 0.38 lower at both times (94 studies; 28 083 participants). Of the included studies, 22% were judged at high risk of bias; removing these did not meaningfully change results. CONCLUSIONS Despite weight regain, BWMPs reduce cardiometabolic risk factors with effects lasting at least 5 years after program end and dwindling with weight regain. Evidence that they reduce the incidence of cardiovascular disease or diabetes is less certain. Few studies followed participants for ≥5 years. REGISTRATION URL: https://www.crd.york.ac.uk/PROSPERO/; Unique identifier: CRD42018105744.
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Affiliation(s)
- Jamie Hartmann-Boyce
- Nuffield Department of Primary Care Health Sciences (J.H.-B., A.T., A.R.B., A.B., R.B., F.D.R.H., S.A.J., P.A.), University of Oxford, United Kingdom
| | - Annika Theodoulou
- Nuffield Department of Primary Care Health Sciences (J.H.-B., A.T., A.R.B., A.B., R.B., F.D.R.H., S.A.J., P.A.), University of Oxford, United Kingdom
| | - Jason L. Oke
- NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, United Kingdom (J.L.O.)
| | - Ailsa R. Butler
- Nuffield Department of Primary Care Health Sciences (J.H.-B., A.T., A.R.B., A.B., R.B., F.D.R.H., S.A.J., P.A.), University of Oxford, United Kingdom
| | - Anastasios Bastounis
- Nuffield Department of Primary Care Health Sciences (J.H.-B., A.T., A.R.B., A.B., R.B., F.D.R.H., S.A.J., P.A.), University of Oxford, United Kingdom
- Division of Epidemiology and Public Health, School of Medicine, University of Nottingham, United Kingdom (A.B.)
| | - Anna Dunnigan
- Oxford University Hospitals NHS Foundation Trust, United Kingdom (A.D.)
- Royal Free London NHS Foundation Trust, United Kingdom (A.D.)
| | - Rimu Byadya
- Nuffield Department of Primary Care Health Sciences (J.H.-B., A.T., A.R.B., A.B., R.B., F.D.R.H., S.A.J., P.A.), University of Oxford, United Kingdom
- United Nations World Food Programme, Cox’s Bazar, Bangladesh, India (R.B.)
| | - Linda J. Cobiac
- Nuffield Department of Population Health, Centre on Population Approaches for Non-Communicable Disease Prevention (L.J.C.), University of Oxford, United Kingdom
| | - Peter Scarborough
- Nuffield Department of Population Health, Oxford Biomedical Research Centre (P.S.), University of Oxford, United Kingdom
| | - F.D. Richard Hobbs
- Nuffield Department of Primary Care Health Sciences (J.H.-B., A.T., A.R.B., A.B., R.B., F.D.R.H., S.A.J., P.A.), University of Oxford, United Kingdom
| | - Falko F. Sniehotta
- Faculty of Medical Sciences, Population Health Sciences Institute, Newcastle University, United Kingdom (F.F.S.)
| | - Susan A. Jebb
- Nuffield Department of Primary Care Health Sciences (J.H.-B., A.T., A.R.B., A.B., R.B., F.D.R.H., S.A.J., P.A.), University of Oxford, United Kingdom
| | - Paul Aveyard
- Nuffield Department of Primary Care Health Sciences (J.H.-B., A.T., A.R.B., A.B., R.B., F.D.R.H., S.A.J., P.A.), University of Oxford, United Kingdom
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Group Medical Visits for Addressing Weight and Blood Pressure in an Underserved Population. MEDICINES (BASEL, SWITZERLAND) 2022; 9:medicines9120060. [PMID: 36547993 PMCID: PMC9783786 DOI: 10.3390/medicines9120060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Revised: 11/18/2022] [Accepted: 11/28/2022] [Indexed: 12/04/2022]
Abstract
The effect of group medical visits (GMV) compared to individual medical visits (IMV), on weight and blood pressure in a large primary care practice serving a predominantly underserved population, was assessed. The records of 304 patients attending a weight-loss program were analyzed using mixed-effects regression models. Patients in GMV lost an average of 11.63 lbs, whereas patients in IMV lost an average of 3.99 lbs (p < 0.001). A total of 55% of patients lost ≥7% in GMV compared to 11% of patients in IMV (p ≤ 0.001). Individuals who lost >5% of their baseline weight had a higher reduction in overall blood pressure. For systolic and diastolic blood pressure, the differences between baseline and three months for GMV and IMV were −7.4 vs. 4.1 mm of Hg (p = 0.002) and −4.6 vs. 4.2 mm of Hg (p = 0.003), respectively. Results from this study demonstrate that GMV may be a potentially useful modality for addressing weight and blood pressure in an underserved population.
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Sagalla N, Yancy WS, Edelman D, Jeffreys AS, Coffman CJ, Voils CI, Alexopoulos AS, Maciejewski ML, Dar M, Crowley MJ. Factors associated with non-adherence to insulin and non-insulin medications in patients with poorly controlled diabetes. Chronic Illn 2022; 18:398-409. [PMID: 33100020 PMCID: PMC8995079 DOI: 10.1177/1742395320968627] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
OBJECTIVES To evaluate differences in factors associated with self-reported medication non-adherence to insulin and non-insulin medications in patients with uncontrolled type 2 diabetes. METHODS In this secondary analysis of a randomized trial in patients with obesity and uncontrolled type 2 diabetes, multivariable logistic regression was used to evaluate associations between several clinical factors (measured with survey questionnaires at study baseline) and self-reported non-adherence to insulin and non-insulin medications. RESULTS Among 263 patients, reported non-adherence was 62% (52% for insulin, 55% for non-insulin medications). Reported non-adherence to non-insulin medications was less likely in white versus non-white patients (odds ratio (OR) = 0.42; 95%CI: 0.22,0.80) and with each additional medication taken (OR = 0.75; 95%CI: 0.61,0.93). Non-adherence to non-insulin medications was more likely with each point increase in a measure of diabetes medication intensity (OR = 1.43; 95%CI: 1.01,2.03), the Problem Areas in Diabetes (PAID) score (OR = 1.06; 95%CI: 1.02,1.12), and in men versus women (OR = 3.03; 95%CI: 1.06,8.65). For insulin, reporting non-adherence was more likely (OR = 1.02; 95%CI: 1.00,1.04) with each point increase in the PAID. DISCUSSION Despite similar overall rates of reported non-adherence to insulin and non-insulin medications, factors associated with reported non-adherence to each medication type differed. These findings may help tailor approaches to supporting adherence in patients using different types of diabetes medications.
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Affiliation(s)
- Nicole Sagalla
- Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham VA Medical Center, Durham, USA.,Department of Medicine, Division of Endocrinology, Duke University Medical Center, Durham, USA
| | - William S Yancy
- Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham VA Medical Center, Durham, USA.,Department of Medicine, Division of General Internal Medicine, Duke University Medical Center, Durham, USA.,Duke Diet and Fitness Center, Durham, USA
| | - David Edelman
- Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham VA Medical Center, Durham, USA.,Department of Medicine, Division of General Internal Medicine, Duke University Medical Center, Durham, USA
| | - Amy S Jeffreys
- Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham VA Medical Center, Durham, USA
| | - Cynthia J Coffman
- Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham VA Medical Center, Durham, USA.,Department of Biostatistics and Bioinformatics, Duke University, Durham, USA
| | - Corrine I Voils
- William S. Middleton Memorial Veterans Hospital, Madison, USA.,Department of Surgery, University of Wisconsin, School of Medicine and Public Health, Madison, USA
| | - Anastasia-Stefania Alexopoulos
- Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham VA Medical Center, Durham, USA.,Department of Medicine, Division of Endocrinology, Duke University Medical Center, Durham, USA
| | - Matthew L Maciejewski
- Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham VA Medical Center, Durham, USA.,Department of Medicine, Division of General Internal Medicine, Duke University Medical Center, Durham, USA.,Department of Population Health Sciences, Duke University Medical Center, Durham, USA
| | - Moahad Dar
- Division of Endocrinology and Metabolism, East Carolina University, Greenville, USA.,Greenville Veterans Affairs Health Care Center, Greenville, USA
| | - Matthew J Crowley
- Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham VA Medical Center, Durham, USA.,Department of Medicine, Division of Endocrinology, Duke University Medical Center, Durham, USA
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Alexopoulos AS, Yancy WS, Edelman D, Coffman CJ, Jeffreys AS, Maciejewski ML, Voils CI, Sagalla N, Barton Bradley A, Dar M, Mayer SB, Crowley MJ. Clinical associations of an updated medication effect score for measuring diabetes treatment intensity. Chronic Illn 2021; 17:451-462. [PMID: 31653175 PMCID: PMC7182482 DOI: 10.1177/1742395319884096] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
OBJECTIVES The medication effect score reflects overall intensity of a diabetes regimen by consolidating dosage and potency of agents used. Little is understood regarding how medication intensity relates to clinical factors. We updated the medication effect score to account for newer agents and explored associations between medication effect score and patient-level clinical factors. METHODS Cross-sectional analysis of baseline data from a randomized controlled trial involving 263 Veterans with type 2 diabetes and hemoglobin A1c levels ≥8.0% (≥7.5% if under age 50). Medication effect score was calculated for all patients at baseline, alongside additional measures including demographics, comorbid illnesses, hemoglobin A1c, and self-reported psychosocial factors. We used multivariable regression to explore associations between baseline medication effect score and patient-level clinical factors. RESULTS Our sample had a mean age of 60.7 (SD = 8.2) years, was 89.4% male, and 57.4% non-White. Older age and younger onset of diabetes were associated with a higher medication effect score, as was higher body mass index. Higher medication effect score was significantly associated with medication nonadherence, although not with hemoglobin A1c, self-reported hypoglycemia, diabetes-related distress, or depression. DISCUSSION We observed several expected associations between an updated medication effect score and patient-level clinical factors. These associations support the medication effect score as an appropriate measure of diabetes regimen intensity in clinical and research contexts.
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Affiliation(s)
- Anastasia-Stefania Alexopoulos
- Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham VA Medical Center, Durham, NC, USA.,Department of Medicine, Division of Endocrinology, Duke University Medical Center, Durham, NC, USA
| | - William S Yancy
- Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham VA Medical Center, Durham, NC, USA.,Department of Medicine, Division of General Internal Medicine, Duke University Medical Center, Durham, NC, USA.,Duke Diet and Fitness Center, Durham, NC, USA
| | - David Edelman
- Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham VA Medical Center, Durham, NC, USA.,Department of Medicine, Division of General Internal Medicine, Duke University Medical Center, Durham, NC, USA
| | - Cynthia J Coffman
- Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham VA Medical Center, Durham, NC, USA.,Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA
| | - Amy S Jeffreys
- Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham VA Medical Center, Durham, NC, USA
| | - Matthew L Maciejewski
- Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham VA Medical Center, Durham, NC, USA.,Department of Population Health Sciences, Duke University Medical Center, Durham, NC, USA
| | - Corrine I Voils
- William S. Middleton Memorial Veterans Hospital, Madison, WI, USA.,Department of Surgery, University of Wisconsin, School of Medicine and Public Health, Madison, WI, USA
| | - Nicole Sagalla
- Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham VA Medical Center, Durham, NC, USA.,Department of Medicine, Division of Endocrinology, Duke University Medical Center, Durham, NC, USA
| | - Anna Barton Bradley
- Richmond Diabetes and Endocrinology, Bon Secours Medical Group, Richmond, VA, USA
| | - Moahad Dar
- Division of Endocrinology and Metabolism, East Carolina University, Greenville NC, USA.,Greenville Veterans Affairs Health Care Center, Greenville, NC, USA
| | - Stéphanie B Mayer
- Hunter Holmes McGuire Veterans Affairs Medical Center, Division of Endocrinology and Metabolism, Richmond, VA, USA.,Virginia Commonwealth University, Division of Endocrinology and Metabolism, Richmond, VA, USA
| | - Matthew J Crowley
- Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham VA Medical Center, Durham, NC, USA.,Department of Medicine, Division of Endocrinology, Duke University Medical Center, Durham, NC, USA
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8
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Kobe EA, Crowley MJ, Jeffreys AS, Yancy WS, Zervakis J, Edelman D, Voils CI, Maciejewski ML, Coffman CJ. Heterogeneity of Treatment Effects Among Patients With Type 2 Diabetes and Elevated Body Mass Index in a Study Comparing Group Medical Visits Focused on Weight Management and Medication Intensification. Med Care 2021; 59:1031-1038. [PMID: 34510104 PMCID: PMC8516740 DOI: 10.1097/mlr.0000000000001642] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
BACKGROUND Illuminating heterogeneity of treatment effect (HTE) within trials is important for identifying target populations for implementation. OBJECTIVE The aim of this study was to examine HTE in a trial of group medical visits (GMVs) for patients with type 2 diabetes and elevated body mass index. RESEARCH DESIGN AND MEASURES Participants (n=263) were randomized to GMV-based medication management plus low carbohydrate diet-focused weight management (WM/GMV; n=127) or GMV-based medication management alone (GMV; n=136) for diabetes control. We used QUalitative INteraction Trees, a tree-based clustering method, to identify subgroups with greater improvement in hemoglobin A1c (HbA1c) and weight from either WM/GMV or GMV. Subgroup predictors included 32 baseline demographic, clinical, and psychosocial factors. Internal validation was conducted to estimate bias in the range of mean outcome differences between arms. RESULTS QUalitative INteraction Trees analyses indicated that for patients who had not previously attempted weight loss, WM/GMV resulted in better glycemic control than GMV (mean difference in HbA1c improvement=1.48%). For patients who had previously attempted weight loss and had lower cholesterol and blood urea nitrogen, GMV was better than WM/GMV (mean difference in HbA1c improvement=1.51%). No treatment-subgroup effects were identified for weight. Internal validation resulted in moderate corrections in mean HbA1c differences between arms; however, differences remained in the clinically significant range. CONCLUSION This work represents a novel step toward targeting care approaches for patients to maximize benefit based on individual patient characteristics.
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Affiliation(s)
| | - Matthew J. Crowley
- Durham Veterans Affairs Center of Innovation to Accelerate Discovery and Practice Change (ADAPT), Durham, NC
- Division of Endocrinology, Department of Medicine, Duke University Medical Center, Durham, NC
| | - Amy S. Jeffreys
- Durham Veterans Affairs Center of Innovation to Accelerate Discovery and Practice Change (ADAPT), Durham, NC
| | - William S. Yancy
- Duke University School of Medicine, Durham, NC
- Durham Veterans Affairs Center of Innovation to Accelerate Discovery and Practice Change (ADAPT), Durham, NC
- Division of General Internal Medicine, Department of Medicine, Duke University Medical Center, Durham, NC
- Duke Lifestyle and Weight Management Center, Durham, NC
| | - Jennifer Zervakis
- Durham Veterans Affairs Center of Innovation to Accelerate Discovery and Practice Change (ADAPT), Durham, NC
| | - David Edelman
- Durham Veterans Affairs Center of Innovation to Accelerate Discovery and Practice Change (ADAPT), Durham, NC
- Division of General Internal Medicine, Department of Medicine, Duke University Medical Center, Durham, NC
| | - Corrine I. Voils
- William S Middleton Memorial Veterans Hospital, Madison, WI
- Department of Surgery, University of Wisconsin, Madison, WI
| | - Matthew L. Maciejewski
- Duke University School of Medicine, Durham, NC
- Durham Veterans Affairs Center of Innovation to Accelerate Discovery and Practice Change (ADAPT), Durham, NC
- Division of General Internal Medicine, Department of Medicine, Duke University Medical Center, Durham, NC
| | - Cynthia J. Coffman
- Durham Veterans Affairs Center of Innovation to Accelerate Discovery and Practice Change (ADAPT), Durham, NC
- Department of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, NC
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9
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Yancy WS, Crowley MJ, Dar MS, Coffman CJ, Jeffreys AS, Maciejewski ML, Voils CI, Bradley AB, Edelman D. Comparison of Group Medical Visits Combined With Intensive Weight Management vs Group Medical Visits Alone for Glycemia in Patients With Type 2 Diabetes: A Noninferiority Randomized Clinical Trial. JAMA Intern Med 2020; 180:70-79. [PMID: 31682682 PMCID: PMC6830502 DOI: 10.1001/jamainternmed.2019.4802] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
IMPORTANCE Traditionally, group medical visits (GMVs) for persons with diabetes improved glycemia by intensifying medications, which infrequently led to weight loss. Incorporating GMVs with intensive dietary change could enable weight loss and improve glycemia while decreasing medication intensity. OBJECTIVE To examine whether a program of GMVs combined with intensive weight management (WM) is noninferior to GMVs alone for change in glycated hemoglobin (HbA1c) level at 48 weeks (prespecified margin of 0.5%) and superior to GMVs alone for hypoglycemic events, diabetes medication intensity, and weight loss. DESIGN, SETTING, AND PARTICIPANTS This randomized clinical trial identified via the electronic medical record 2814 outpatients with type 2 diabetes, uncontrolled HbA1c, and body mass index (BMI; calculated as weight in kilograms divided by height in meters squared) of 27 or higher from Veterans Affairs Medical Center clinics in Durham and Greenville, North Carolina. Between January 12, 2015, and May 30, 2017, 263 outpatients started the intervention. INTERVENTIONS Participants randomized to the GMV group (n = 136) received counseling about diabetes-related topics with medication optimization every 4 weeks for 16 weeks, then every 8 weeks (9 visits). Participants randomized to the WM/GMV group (n = 127) received low-carbohydrate diet counseling with baseline medication reduction and subsequent medication optimization every 2 weeks for 16 weeks followed by an abbreviated GMV intervention every 8 weeks (13 visits). MAIN OUTCOMES AND MEASURES Outcomes included HbA1c level, hypoglycemic events, diabetes medication effect score, and weight at 48 weeks analyzed using hierarchical generalized mixed models to account for clustering within group sessions. RESULTS Among 263 participants (mean [SD] age, 60.7 [8.2] years; 235 [89.4%] men; 143 [54.4%] black), baseline HbA1c level was 9.1% (1.3%) and BMI was 35.3 (5.1). At 48 weeks, HbA1c level was improved in both study arms (8.2% in the WM/GMV arm and 8.3% in the GMV arm; mean difference, -0.1%; 95% CI, -0.5% to 0.2%; upper 95% CI, <0.5% threshold; P = .44). The WM/GMV arm had lower diabetes medication use (mean difference in medication effect score, -0.5; 95% CI, -0.6 to -0.3; P < .001) and greater weight loss (mean difference, -3.7 kg; 95% CI, -5.5 to -1.9 kg; P < .001) than did the GMV arm at 48 weeks and approximately 50% fewer hypoglycemic events (incidence rate ratio, 0.49; 95% CI, 0.27 to 0.71; P < .001) during the 48-week period. CONCLUSIONS AND RELEVANCE In GMVs for diabetes, addition of WM using a low-carbohydrate diet was noninferior for lowering HbA1c levels compared with conventional medication management and showed advantages in other clinically important outcomes. TRIAL REGISTRATION ClinicalTrials.gov identifier: NCT01973972.
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Affiliation(s)
- William S Yancy
- Center of Innovation to Accelerate Discovery and Practice Transformation, Department of Veterans Affairs, Durham, North Carolina.,Division of General Internal Medicine, Department of Medicine, Duke University Medical Center, Durham, North Carolina.,Duke Diet and Fitness Center, Durham, North Carolina
| | - Matthew J Crowley
- Center of Innovation to Accelerate Discovery and Practice Transformation, Department of Veterans Affairs, Durham, North Carolina.,Division of Endocrinology, Department of Medicine, Duke University Medical Center, Durham, North Carolina
| | - Moahad S Dar
- Greenville Health Care Center, Department of Veterans Affairs, Greenville, North Carolina.,Brody School of Medicine, Greenville, North Carolina
| | - Cynthia J Coffman
- Center of Innovation to Accelerate Discovery and Practice Transformation, Department of Veterans Affairs, Durham, North Carolina.,Department of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, North Carolina
| | - Amy S Jeffreys
- Center of Innovation to Accelerate Discovery and Practice Transformation, Department of Veterans Affairs, Durham, North Carolina
| | - Matthew L Maciejewski
- Center of Innovation to Accelerate Discovery and Practice Transformation, Department of Veterans Affairs, Durham, North Carolina.,Department of Population Health Sciences, Duke University Medical Center, Durham, North Carolina
| | - Corrine I Voils
- William S. Middleton Memorial Veterans Hospital, Madison, Wisconsin.,Department of Surgery, University of Wisconsin, Madison
| | | | - David Edelman
- Center of Innovation to Accelerate Discovery and Practice Transformation, Department of Veterans Affairs, Durham, North Carolina.,Division of General Internal Medicine, Department of Medicine, Duke University Medical Center, Durham, North Carolina
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Jahanbakhsh M, Ehteshami A, Afkhami S. Developing "Aryan:" Diabetes Self-care Mobile Application. Int J Prev Med 2019; 10:59. [PMID: 31143433 PMCID: PMC6528430 DOI: 10.4103/ijpvm.ijpvm_344_17] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2017] [Accepted: 11/15/2017] [Indexed: 12/18/2022] Open
Abstract
Background: Diabetes as a chronic and progressive disease leads to multiple complications. Therefore, it is important to control and treat it. More effective control of this condition and the provision of therapeutic approaches require awareness and active participation of patients in self-care. In this regard, a smartphone that is accessible to most people at anytime and anywhere and is easily applicable can be useful in self-care diabetes, with the ability to install various applications. This study aimed to develop a diabetes self-care mobile application as a suitable solution for self-managing diabetes for Iranians. Methods: We conducted a mixed methods study in three Phases: (1) comparative study of existing mobile applications; (2) developed its object-oriented conceptual model; and (3) developed the initial version of “Aryan” that was approved for production. Results: This application was designed for the appropriate diabetes self-care, with following functionalities: The user ID and his/her personal page setting; generating self-care reports such as blood glucose, nutrition, physiological indicators, physical activities, and patient history reports; care setting; providing patient training materials; nutrition control; insulin and other medications control; blood glucose and key tests control; and other paraclinical tests. Conclusions: “Aryan” has been designed in compliance with Iranian experts’ opinions. It is expected “Aryan” plays an effective role in self-care of patients with diabetes.
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Affiliation(s)
- Maryam Jahanbakhsh
- Health Information Technology Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Asghar Ehteshami
- Health Information Technology Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Shekoufeh Afkhami
- Department of Health Information Technology and Management, School of Management and Medical Information Sciences, Isfahan University of Medical Sciences, Isfahan, Iran
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11
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Srivastava G, Palmer KD, Ireland KA, McCarthy AC, Donovan KE, Manders AJ, McDougal J, Lenders CM, Apovian CM. Shape-Up and Eat Right Families Pilot Program: Feasibility of a Weight Management Shared Medical Appointment Model in African-Americans With Obesity at an Urban Academic Medical Center. Front Pediatr 2018; 6:101. [PMID: 29707530 PMCID: PMC5906543 DOI: 10.3389/fped.2018.00101] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2018] [Accepted: 03/27/2018] [Indexed: 12/13/2022] Open
Abstract
OBJECTIVES Disparities in obesity care exist among African-American children and adults. We sought to test the feasibility of a pilot program, a 1-year family-based intervention for African-American families with obesity [shape up and eat right (SUPER)], adopting the shared medical appointment model (SMA) at an urban safety net hospital. OUTCOMES Primary outcomes: (1) family attendance rate and (2) program satisfaction. Secondary outcomes: change in body mass index (BMI), eating behaviors, and sedentary activity. METHODS Adult parents (BMI ≥ 25 kg/m2) ≥18 years and their child(ren) (BMI ≥ 85th percentile) ages 6-12 years from adult or pediatric weight management clinics were recruited. One group visit per month (n = 12) consisting of a nutrition and exercise component was led by a nurse practitioner and registered dietitian. Height and weight were recorded during each visit. Participants were queried on program satisfaction, food logs and exercise journals, Food Stamp Program's Food Behavior, and the Expanded Food and Nutrition Education Program food checklists. RESULTS Thirteen participants from lower socioeconomic zip codes consented [n = 5 mothers mean age 33 years, BMI of 47.4 kg/m2 (31.4-73.6 kg/m2); n = 8 children; mean age 9 years, BMI of 97.6th percentile (94-99th percentile); 60% enrolled in state Medicaid]. Average individual attendance was 23.4% (14-43%; n = 13); monthly session attendance rates declined from 100 to 40% by program completion; two families completed the program in entirety. Program was rated (n = 5 adults) very satisfactory (40%) and extremely satisfactory (60%). Pre-intervention, families rated their eating habits as fair and reported consuming sugar-sweetened beverages or sports drinks, more so than watching more than 1 h of television (p < 0.002) or video game/computer activity (p < 0.006) and consuming carbonated sodas (p < 0.004). Post-intervention, reducing salt intake was the only statistically significant variable (p < 0.029), while children watched fewer hours of television and spent less time playing video games (from average 2 to 3 h daily; p < 0.03). CONCLUSION Attendance was lower than expected though children seemed to decrease screen time and the program was rated satisfactory. Reported socioeconomic barriers precluded families from attending most sessions. Future reiterations of the intervention could be enhanced with community engagement strategies to increase participant retention.
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Affiliation(s)
- Gitanjali Srivastava
- Nutrition and Weight Management Research Center, Boston Medical Center, Department of Medicine, Section of Endocrinology, Diabetes, Nutrition and Weight Management, Boston University School of Medicine, Boston, MA, United States
| | - Kenya D Palmer
- Nutrition and Weight Management Research Center, Boston Medical Center, Department of Medicine, Section of Endocrinology, Diabetes, Nutrition and Weight Management, Boston University School of Medicine, Boston, MA, United States
| | - Kathy A Ireland
- Nutrition and Fitness for Life Program, Boston Medical Center, Department of Pediatrics, Boston University School of Medicine, Boston, MA, United States
| | - Ashley C McCarthy
- Nutrition and Weight Management Research Center, Boston Medical Center, Department of Medicine, Section of Endocrinology, Diabetes, Nutrition and Weight Management, Boston University School of Medicine, Boston, MA, United States
| | - Kate E Donovan
- Nutrition and Fitness for Life Program, Boston Medical Center, Department of Pediatrics, Boston University School of Medicine, Boston, MA, United States
| | - Aaron J Manders
- Nutrition and Fitness for Life Program, Boston Medical Center, Department of Pediatrics, Boston University School of Medicine, Boston, MA, United States
| | - Juhee McDougal
- Department of Medicine, Section of General Internal Medicine, Boston University School of Medicine, Boston, MA, United States
| | - Carine M Lenders
- Nutrition and Fitness for Life Program, Boston Medical Center, Department of Pediatrics, Boston University School of Medicine, Boston, MA, United States
| | - Caroline M Apovian
- Nutrition and Weight Management Research Center, Boston Medical Center, Department of Medicine, Section of Endocrinology, Diabetes, Nutrition and Weight Management, Boston University School of Medicine, Boston, MA, United States
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