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Grujić-Vujmilović D, Veljković K, Gavrić Ž, Popović-Pejičić S. Cost-effectiveness of prevention program for type 2 diabetes mellitus in high risk patients in the Republic of Srpska, Bosnia and Herzegovina. Libyan J Med 2025; 20:2437226. [PMID: 39676503 DOI: 10.1080/19932820.2024.2437226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2024] [Accepted: 11/28/2024] [Indexed: 12/17/2024] Open
Abstract
The Republic of Srpska (RS), as a part of the Western Balkans (WB) region, has a higher diabetes prevalence than the EU. This study aims to assess the cost-effectiveness of early treatment of high-risk patients with pre-diabetes and undiagnosed diabetes in our setting. We designed a Markov chain Monte Carlo (MCMC) model which reflects the current International Diabetes Federation (IDF) three-step plan for the prevention of T2DM in those at increased risk. The model captures the evolution of the disease in FINDRISC high-risk patients from normal glucose tolerance (NGT) to impaired fasting glucose (IFG) or impaired glucose tolerance (IGT) and then to T2DM and its complications. We developed two MCMC models, in order to follow the progression of the disease in high-risk cases, ie, when early treatment is undertaken or when it is not undertaken. The health costs and quality adjusted life years (QALY) were discounted at an annual rate of 3%. The key model parameters were varied in one-way and probabilistic sensitivity analysis. Early treatment resulted in increased life expectancy, postponement of the onset of diabetes and increased QALY for all patients. The discounted incremental cost-effectiveness-ratios (ICER) in NGT, IFG, IGT, and T2DM patients were -289.9, 9724.03, -1478.59 and 4084.67 €. In high-risk IGT patients, ICER was the most favorable, being both a cost saving and QALY gaining, with the consistent results confirmed by the sensitivity analysis. The results recommend the acceptance of a new health policy of identifying IGT patients with the use of FINDRISC questionnaire and plasma glucose measurements; providing them with a lifestyle change program; and implementing intensive diabetes treatment, as their disease progresses. Our results are especially significant for the Western Balkan countries, since this was the first cost-effectiveness study of T2DM prevention in this region.
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Affiliation(s)
- Dragana Grujić-Vujmilović
- Department of Social Medicine, Faculty of Medicine, University of Banja Luka, Banja Luka, Republic of Srpska, Bosnia and Herzegovina
- Department of Social Medicine, Public Health Institute of the Republic of Srpska, Banja Luka, Republic of Srpska, Bosnia and Herzegovina
| | - Kristina Veljković
- Laboratory for Cryptography and Computer Security, Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia
| | - Živana Gavrić
- Department of Social Medicine, Faculty of Medicine, University of Banja Luka, Banja Luka, Republic of Srpska, Bosnia and Herzegovina
- Department of Social Medicine, Public Health Institute of the Republic of Srpska, Banja Luka, Republic of Srpska, Bosnia and Herzegovina
| | - Snježana Popović-Pejičić
- Department of Internal Medicine, Faculty of Medicine, University of Banja Luka, Republic of Srpska, Bosnia and Herzegovina
- University Clinical Center of the Republic of Srpska, Banja Luka, Republic of Srpska, Bosnia and Herzegovina
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Li E, Waters A, Cunningham A, Silverio A, Han J, Mills G. Patient and Provider Prediabetes Knowledge, Attitudes, and Behaviors in a Large Urban Family Medicine Practice. Am J Lifestyle Med 2024; 18:727-736. [PMID: 39507910 PMCID: PMC11536499 DOI: 10.1177/15598276221123527] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2024] Open
Abstract
One-third of U.S. adults have prediabetes, but only 11% are aware of their condition. Many do not receive education or treatment. The purpose of this study is to understand family medicine providers' and patients' attitudes, knowledge, and behaviors regarding prediabetes and its management, to guide future management interventions. Cross-sectional surveys of providers (n = 54, 57% response rate) and patients with prediabetes (n = 148, 16.5% response rate) were administered at a large urban academic family medicine practice. Nearly all providers agree prediabetes screening is important, but over half were unaware of the national Diabetes Prevention Program (DPP) and most do not prescribe metformin to eligible patients. Over half of patients reported being told they have prediabetes but <5% had been referred to DPP and over half were unaware of medication options. In open-ended responses, providers suggested nutrition counseling resources and an improved DPP referral process to improve prediabetes care. Patients requested clear diagnosis, education on treatment options, and nutritional counseling. This study indicates that notable gaps continue to exist in provider and patient understanding and management of prediabetes, suggesting that interventions to improve prediabetes care should include more effective counseling on diagnosis and treatment and expanding access to nutrition and educational resources.
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Affiliation(s)
- Erica Li
- Department of Family and Community Medicine, Thomas Jefferson University, Philadelphia, PA, USA (EL, AW, AC, AS, GM); and Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA (JH)
| | - Alexa Waters
- Department of Family and Community Medicine, Thomas Jefferson University, Philadelphia, PA, USA (EL, AW, AC, AS, GM); and Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA (JH)
| | - Amy Cunningham
- Department of Family and Community Medicine, Thomas Jefferson University, Philadelphia, PA, USA (EL, AW, AC, AS, GM); and Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA (JH)
| | - Alexis Silverio
- Department of Family and Community Medicine, Thomas Jefferson University, Philadelphia, PA, USA (EL, AW, AC, AS, GM); and Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA (JH)
| | - Jasmine Han
- Department of Family and Community Medicine, Thomas Jefferson University, Philadelphia, PA, USA (EL, AW, AC, AS, GM); and Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA (JH)
| | - Geoffrey Mills
- Department of Family and Community Medicine, Thomas Jefferson University, Philadelphia, PA, USA (EL, AW, AC, AS, GM); and Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA (JH)
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Marsh JK, Asan O, Kleinberg S. Perceived Penalties for Sharing Patient Beliefs with Health Care Providers. Med Decis Making 2024; 44:617-626. [PMID: 39092564 PMCID: PMC11346123 DOI: 10.1177/0272989x241262241] [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] [Received: 09/07/2023] [Accepted: 04/29/2024] [Indexed: 08/04/2024]
Abstract
BACKGROUND Health care interactions may require patients to share with a physician information they believe but is incorrect. While a key piece of physicians' work is educating their patients, people's concerns of being seen as uninformed or incompetent by physicians may lead them to think that sharing incorrect health beliefs comes with a penalty. We tested people's perceptions of patients who share incorrect information and how these perceptions vary by the reasonableness of the belief and its centrality to the patient's disease. DESIGN We recruited 399 United States Prolific.co workers (357 retained after exclusions), 200 Prolific.co workers who reported having diabetes (139 after exclusions), and 244 primary care physicians (207 after exclusions). Participants read vignettes describing patients with type 2 diabetes sharing health beliefs that were central or peripheral to the management of diabetes. Beliefs included true and incorrect statements that were reasonable or unreasonable to believe. Participants rated how a doctor would perceive the patient, the patient's ability to manage their disease, and the patient's trust in doctors. RESULTS Participants rated patients who shared more unreasonable beliefs more negatively. There was an extra penalty for incorrect statements central to the patient's diabetes management (sample 1). These results replicated for participants with type 2 diabetes (sample 2) and physician participants (sample 3). CONCLUSIONS Participants believed that patients who share incorrect information with their physicians will be penalized for their honesty. Physicians need to be educated on patients' concerns so they can help patients disclose what may be most important for education. HIGHLIGHTS Understanding how people think they will be perceived in a health care setting can help us understand what they may be wary to share with their physicians.People think that patients who share incorrect beliefs will be viewed negatively.Helping patients share incorrect beliefs can improve care.
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Affiliation(s)
| | - Onur Asan
- School of Systems and Enterprises, Stevens Institute of Technology, Hoboken, NJ, USA
| | - Samantha Kleinberg
- Department of Computer Science, Stevens Institute of Technology, Hoboken, NJ, USA
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Geta ET, Terefa DR, Hailu WB, Olani W, Merdassa E, Dessalegn M, Gelchu M, Diriba DC. Effectiveness of shared decision-making for glycaemic control among type 2 diabetes mellitus adult patients: A systematic review and meta-analysis. PLoS One 2024; 19:e0306296. [PMID: 39083503 PMCID: PMC11290692 DOI: 10.1371/journal.pone.0306296] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Accepted: 06/16/2024] [Indexed: 08/02/2024] Open
Abstract
BACKGROUND In diabetes care and management guidelines, shared decision-making (SDM) implementation is explicitly recommended to help patients and health care providers to make informed shared decisions that enable informed choices and the selection of treatments. Despite widespread calls for SDM to be embedded in health care, there is little evidence to support SDM in the management and care of diabetes. It is still not commonly utilized in routine care settings because its effects remain poorly understood. Hence, the current systematic review and meta-analysis aimed to evaluate the effectiveness of SDM for glycaemic control among type 2 diabetes adult patients. METHODS Literature sources were searched in MEDLINE, PubMed, Cochrane library and HINARI bibliographic databases and Google Scholar. When these records were searched and reviewed, the PICO criteria (P: population, I: intervention, C: comparator, and O: outcome) were applied. The extracted data was exported to RevMan software version 5.4 and STATA 17 for further analysis. The mean differences (MD) of glycated hemoglobin (HbA1c) were pooled using a random effect model (REM), and sub-group analysis were performed to evaluate the effect size differences across the duration of the follow-up period, modes of intervention, and baseline glycated hemoglobin level of patient groups. The sensitivity analysis was performed using a leave-one-out meta-analysis to quantify the impact of each study on the overall effect size in mean difference HbA1c%. Finally, the statistically significant MD of HbA1c% between the intervention groups engaged in SDM and control groups received usual care was declared at P ˂0.05, using a 95% confidence interval (CI). RESULTS In the database search, 425 records were retrieved, with only 17 RCT studies fulfilling the inclusion criteria and were included in the meta-analysis. A total of 5416 subjects were included, out of which 2782(51.4%) were included in trial arms receiving SDM and 2634(48.6%) were included in usual diabetes care. The Higgins (I2) test statistics were calculated to be 59.1%, P = 0.002, indicating statistically significant heterogeneity was observed among the included studies, and REM was used as a remedial to estimate the pooled MD of HbA1c% level between patients who participated in SDM and received usual care. As a result, the pooled MD showed that the SDM significantly lowered HbA1c by 0.14% compared to the usual care (95% CI = [-0.26, -0.02], P = 0.02). SDM significantly decreased the level of HbA1c by 0.14% (95% CI = -0.28, -0.01, P = 0.00) when shared decisions were made in person or face-to-face at the point of care, but there was no statistically significant reduction in HbA1c levels when patients were engaged in online SDM. In patients with poorly controlled glycaemic level (≥ 8%), SDM significantly reduced level of HbA1c by 0.13%, 95% CI = [-0.29, -0.03], P = 0.00. However, significant reduction in HbA1c was not observed in patients with ˂ 8%, HbA1c baseline level. CONCLUSIONS Overall, statistically significant reduction of glycated hemoglobin level was observed among T2DM adult patients who participated in shared decision-making compared to those patients who received diabetes usual care that could lead to improved long-term health outcomes, reducing the risk of diabetes-related complications. Therefore, we strongly suggest that health care providers and policy-makers should integrate SDM into diabetes health care and management, and further study should focus on the level of patients' empowerment, health literacy, and standardization of decision supporting tools to evaluate the effectiveness of SDM in diabetes patients.
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Affiliation(s)
- Edosa Tesfaye Geta
- School of Public Health, Institute of Health Sciences, Wollega University, Nekemte, Ethiopia
| | - Dufera Rikitu Terefa
- School of Public Health, Institute of Health Sciences, Wollega University, Nekemte, Ethiopia
| | - Wase Benti Hailu
- School of Public Health, Institute of Health Sciences, Wollega University, Nekemte, Ethiopia
| | - Wolkite Olani
- School of Public Health, Institute of Health Sciences, Wollega University, Nekemte, Ethiopia
| | - Emiru Merdassa
- School of Public Health, Institute of Health Sciences, Wollega University, Nekemte, Ethiopia
| | - Markos Dessalegn
- School of Public Health, Institute of Health Sciences, Wollega University, Nekemte, Ethiopia
| | - Miesa Gelchu
- School of Public Health, Institute of Health, Bule Hora University, Bule Hora, Ethiopia
| | - Dereje Chala Diriba
- School of Nursing and Midwifery, Institute of Health Sciences, Wollega University, Nekemte, Ethiopia
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Tseng E, Marsteller JA, Clark JM, Maruthur NM. START Diabetes Prevention: A Multi-Level Strategy for Primary Care Clinics. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.06.10.24308653. [PMID: 38947005 PMCID: PMC11213107 DOI: 10.1101/2024.06.10.24308653] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/02/2024]
Abstract
Background Prediabetes, a high-risk state for developing diabetes, affects more than 1 in 3 adults nationally. However, <5% of people with prediabetes are receiving any treatment for prediabetes. Prior intervention studies for increasing prediabetes treatment uptake have largely focused on individual barriers with few multi-level interventions that address clinician- and system-level barriers. Objective To measure the effectiveness of a multi-level intervention on uptake of prediabetes treatment in a primary care clinic. Design Pragmatic study of the START (Screen, Test, Act, Refer and Treat) Diabetes Prevention intervention. Participants The START Diabetes Prevention intervention was implemented in a suburban primary care clinic outside of Baltimore compared to a control clinic in the same area over a 12-month period. Intervention START Diabetes Prevention intervention included a structured workflow, shared decision-making resources and electronic health record clinical decision support tools. Main Measures Uptake of prediabetes treatment, defined as Diabetes Prevention Program referral, metformin prescription and/or medical nutrition referral within 30 days of any PCC visit. Key Results We demonstrated greater uptake of preventive treatment among patients with prediabetes in the intervention clinic vs. control clinic receiving usual care (11.6% vs. 6.7%, p<0.001). More patients in the intervention vs. control clinic reported their PCC discussed prediabetes with them (60% vs. 48%, p=0.002) and more felt overall that they understood what their doctor was telling them about prediabetes and that their opinion was valued. The START Diabetes Prevention Strategy had greater acceptability and usefulness to PCCs at the study end compared to baseline. Conclusions A low-touch multi-level intervention is effective in increasing prediabetes treatment uptake. The intervention was also acceptable and feasible for clinicians, and enhanced patient understanding and discussions of prediabetes with their clinicians.
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Tseng E, Smith K, Clark JM, Segal JB, Marsteller JA, Maruthur NM. Using the Translating Research into Practice framework to develop a diabetes prevention intervention in primary care: a mixed-methods study. BMJ Open Qual 2024; 13:e002752. [PMID: 38839396 PMCID: PMC11163602 DOI: 10.1136/bmjoq-2024-002752] [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] [Received: 01/11/2024] [Accepted: 05/28/2024] [Indexed: 06/07/2024] Open
Abstract
BACKGROUND Pre-diabetes affects one-third of US adults and increases the risk of type 2 diabetes. Effective evidence-based interventions, such as the Diabetes Prevention Program, are available, but a gap remains in effectively translating and increasing uptake of these interventions into routine care. METHODS We applied the Translating Research into Practice (TRiP) framework to guide three phases of intervention design and development for diabetes prevention: (1) summarise the evidence, (2) identify local barriers to implementation and (3) measure performance. In phase 1, we conducted a retrospective cohort analysis of linked electronic health record claims data to evaluate current practices in the management of pre-diabetes. In phase 2, we conducted in-depth interviews of 16 primary care physicians, 7 payor leaders and 31 patients to elicit common barriers and facilitators for diabetes prevention. In phase 3, using findings from phases 1 and 2, we developed the core elements of the intervention and performance measures to evaluate intervention uptake. RESULTS In phase 1 (retrospective cohort analysis), we found few patients with pre-diabetes received diabetes prevention interventions. In phase 2 (stakeholder engagement), we identified common barriers to include a lack of knowledge about pre-diabetes among patients and about the Diabetes Prevention Program among clinicians. In phase 3 (intervention development), we developed the START Diabetes Prevention Clinical Pathway as a systematic change package to address barriers and facilitators identified in phases 1 and 2, performance measures and a toolkit of resources to support the intervention components. CONCLUSIONS The TRiP framework supported the identification of evidence-based care practices for pre-diabetes and the development of a well-fitted, actionable intervention and implementation plan designed to increase treatment uptake for pre-diabetes in primary care settings. Our change package can be adapted and used by other health systems or clinics to target prevention of diabetes or other related chronic conditions.
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Affiliation(s)
- Eva Tseng
- Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Welch Center for Prevention, Epidemiology, & Clinical Research, Johns Hopkins University, Baltimore, MD, USA
| | - Katherine Smith
- Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Jeanne M Clark
- Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Welch Center for Prevention, Epidemiology, & Clinical Research, Johns Hopkins University, Baltimore, MD, USA
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Jodi B Segal
- Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Welch Center for Prevention, Epidemiology, & Clinical Research, Johns Hopkins University, Baltimore, MD, USA
- Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Health Policy and Management, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
- Center for Drug Safety and Effectiveness, Johns Hopkins University, Baltimore, MD, USA
| | - Jill A Marsteller
- Welch Center for Prevention, Epidemiology, & Clinical Research, Johns Hopkins University, Baltimore, MD, USA
- Health Policy and Management, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Nisa M Maruthur
- Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Welch Center for Prevention, Epidemiology, & Clinical Research, Johns Hopkins University, Baltimore, MD, USA
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
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Elias S, Chen Y, Liu X, Slone S, Turkson-Ocran RA, Ogungbe B, Thomas S, Byiringiro S, Koirala B, Asano R, Baptiste DL, Mollenkopf NL, Nmezi N, Commodore-Mensah Y, Himmelfarb CRD. Shared Decision-Making in Cardiovascular Risk Factor Management: A Systematic Review and Meta-Analysis. JAMA Netw Open 2024; 7:e243779. [PMID: 38530311 PMCID: PMC10966415 DOI: 10.1001/jamanetworkopen.2024.3779] [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] [Received: 10/02/2023] [Accepted: 01/30/2024] [Indexed: 03/27/2024] Open
Abstract
Importance The effect of shared decision-making (SDM) and the extent of its use in interventions to improve cardiovascular risk remain unclear. Objective To assess the extent to which SDM is used in interventions aimed to enhance the management of cardiovascular risk factors and to explore the association of SDM with decisional outcomes, cardiovascular risk factors, and health behaviors. Data Sources For this systematic review and meta-analysis, a literature search was conducted in the Medline, CINAHL, Embase, Cochrane, Web of Science, Scopus, and ClinicalTrials.gov databases for articles published from inception to June 24, 2022, without language restrictions. Study Selection Randomized clinical trials (RCTs) comparing SDM-based interventions with standard of care for cardiovascular risk factor management were included. Data Extraction and Synthesis The systematic search resulted in 9365 references. Duplicates were removed, and 2 independent reviewers screened the trials (title, abstract, and full text) and extracted data. Data were pooled using a random-effects model. The review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) reporting guideline. Main Outcomes and Measures Decisional outcomes, cardiovascular risk factor outcomes, and health behavioral outcomes. Results This review included 57 RCTs with 88 578 patients and 1341 clinicians. A total of 59 articles were included, as 2 RCTs were reported twice. Nearly half of the studies (29 [49.2%]) tested interventions that targeted both patients and clinicians, and an equal number (29 [49.2%]) exclusively focused on patients. More than half (32 [54.2%]) focused on diabetes management, and one-quarter focused on multiple cardiovascular risk factors (14 [23.7%]). Most studies (35 [59.3%]) assessed cardiovascular risk factors and health behaviors as well as decisional outcomes. The quality of studies reviewed was low to fair. The SDM intervention was associated with a decrease of 4.21 points (95% CI, -8.21 to -0.21) in Decisional Conflict Scale scores (9 trials; I2 = 85.6%) and a decrease of 0.20% (95% CI, -0.39% to -0.01%) in hemoglobin A1c (HbA1c) levels (18 trials; I2 = 84.2%). Conclusions and Relevance In this systematic review and meta-analysis of the current state of research on SDM interventions for cardiovascular risk management, there was a slight reduction in decisional conflict and an improvement in HbA1c levels with substantial heterogeneity. High-quality studies are needed to inform the use of SDM to improve cardiovascular risk management.
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Affiliation(s)
- Sabrina Elias
- Johns Hopkins School of Nursing, Baltimore, Maryland
| | - Yuling Chen
- Johns Hopkins School of Nursing, Baltimore, Maryland
| | - Xiaoyue Liu
- New York University Rory Meyers College of Nursing, New York, New York
| | - Sarah Slone
- Johns Hopkins School of Nursing, Baltimore, Maryland
| | - Ruth-Alma Turkson-Ocran
- Division of General Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
| | - Bunmi Ogungbe
- Johns Hopkins School of Nursing, Baltimore, Maryland
| | | | | | - Binu Koirala
- Johns Hopkins School of Nursing, Baltimore, Maryland
| | - Reiko Asano
- Catholic University of America, Washington, DC
| | | | | | - Nwakaego Nmezi
- MedStar National Rehabilitation Hospital, Washington, DC
| | - Yvonne Commodore-Mensah
- Johns Hopkins School of Nursing, Baltimore, Maryland
- Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Cheryl R. Dennison Himmelfarb
- Johns Hopkins School of Nursing, Baltimore, Maryland
- Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
- Johns Hopkins School of Medicine, Baltimore, Maryland
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Naja F, Abbas N, Khaleel S, Zeb F, Osaili TAH, Obaid RS, Faris M, Radwan H, Ismail LC, Hassan H, Hashim M, AlZubaidi H. Beyond pillbox: a national cross-sectional study on the attitudes, practices, and knowledge of community pharmacists regarding complementary and alternative medicine. BMC Complement Med Ther 2024; 24:107. [PMID: 38418995 PMCID: PMC10902973 DOI: 10.1186/s12906-024-04391-8] [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] [Received: 10/29/2023] [Accepted: 02/06/2024] [Indexed: 03/02/2024] Open
Abstract
BACKGROUND While community pharmacists are uniquely positioned to promote the safe and effective use of complementary and alternative medicine, their potential role remains largely untapped. The objective of this study was to assess the knowledge, attitudes, and practices related to complementary and alternative medicine products among community pharmacists in the United Arab Emirates and explore the correlates of knowledge in the study sample. METHODS Using a stratified random sampling frame, a national survey of community pharmacists was conducted in the United Arab Emirates. In a face-to-face interaction, participants completed a multi-component questionnaire consisting of four sections: sociodemographic and general characteristics; knowledge of complementary and alternative medicine products and usage; attitudes towards complementary and alternative medicine and practices related to complementary and alternative medicine. Based on participants' answers, scores were calculated with higher scores indicating more positive knowledge, attitudes, and practices. RESULTS 373 community pharmacists participated in the study (response rate: 83%). For the knowledge questions, more than 50% of community pharmacists correctly answered the functions of complementary and alternative medicine, however lower percentages were noted for the side effects and drug interactions questions. Most community pharmacists had positive attitudes towards complementary and alternative medicine, except for particular aspects such as efficacy, where 40% agreed that complementary and alternative medicine is only effective in treating minor complaints. As for practices, while more than 70% of participants counseled patients on complementary and alternative medicine use, only 47% reported the toxic effects when encountered. Multiple linear regressions showed that community pharmacists working in independent pharmacies, those with fewer years of experience, and those who did not receive complementary and alternative medicine education during their academic degree had lower knowledge scores (p < 0.05). CONCLUSIONS The findings of this study showed that community pharmacists in the United Arab Emirates have good knowledge of complementary and alternative medicine functions and generally positive attitudes and practices, with few gaps identified in each. Together, these findings provide critical evidence for the development of targeted interventions to promote the role of community pharmacists towards safe and effective complementary and alternative medicine use in the country.
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Affiliation(s)
- Farah Naja
- Department of Clinical Nutrition and Dietetics, College of Health Sciences, University of Sharjah, P.O. Box 27272, Sharjah, United Arab Emirates
- Research Institute of Medical and Health Sciences, University of Sharjah, P.O. Box 27272, Sharjah, United Arab Emirates
- Department of Nutrition and Food Sciences, American University of Beirut, P.O.Box 110236, Beirut, Lebanon
| | - Nada Abbas
- Department of Clinical Nutrition and Dietetics, College of Health Sciences, University of Sharjah, P.O. Box 27272, Sharjah, United Arab Emirates
| | - Sharfa Khaleel
- Department of Clinical Nutrition and Dietetics, College of Health Sciences, University of Sharjah, P.O. Box 27272, Sharjah, United Arab Emirates
- Research Institute of Medical and Health Sciences, University of Sharjah, P.O. Box 27272, Sharjah, United Arab Emirates
| | - Falak Zeb
- Department of Clinical Nutrition and Dietetics, College of Health Sciences, University of Sharjah, P.O. Box 27272, Sharjah, United Arab Emirates
- Research Institute of Medical and Health Sciences, University of Sharjah, P.O. Box 27272, Sharjah, United Arab Emirates
| | - Tareq A H Osaili
- Department of Clinical Nutrition and Dietetics, College of Health Sciences, University of Sharjah, P.O. Box 27272, Sharjah, United Arab Emirates
- Research Institute of Medical and Health Sciences, University of Sharjah, P.O. Box 27272, Sharjah, United Arab Emirates
- Department of Nutrition and Food Technology, Faculty of Agriculture, Jordan University of Science and Technology, P.O. Box 3030, Irbid, 22110, Jordan
| | - Reyad Shaker Obaid
- Department of Clinical Nutrition and Dietetics, College of Health Sciences, University of Sharjah, P.O. Box 27272, Sharjah, United Arab Emirates
- Research Institute of Medical and Health Sciences, University of Sharjah, P.O. Box 27272, Sharjah, United Arab Emirates
| | - MoezAlIslam Faris
- Department of Clinical Nutrition and Dietetics, College of Health Sciences, University of Sharjah, P.O. Box 27272, Sharjah, United Arab Emirates
- Research Institute of Medical and Health Sciences, University of Sharjah, P.O. Box 27272, Sharjah, United Arab Emirates
| | - Hadia Radwan
- Department of Clinical Nutrition and Dietetics, College of Health Sciences, University of Sharjah, P.O. Box 27272, Sharjah, United Arab Emirates
- Research Institute of Medical and Health Sciences, University of Sharjah, P.O. Box 27272, Sharjah, United Arab Emirates
| | - Leila Cheikh Ismail
- Department of Clinical Nutrition and Dietetics, College of Health Sciences, University of Sharjah, P.O. Box 27272, Sharjah, United Arab Emirates
- Research Institute of Medical and Health Sciences, University of Sharjah, P.O. Box 27272, Sharjah, United Arab Emirates
| | - Haydar Hassan
- Department of Clinical Nutrition and Dietetics, College of Health Sciences, University of Sharjah, P.O. Box 27272, Sharjah, United Arab Emirates
- Research Institute of Medical and Health Sciences, University of Sharjah, P.O. Box 27272, Sharjah, United Arab Emirates
| | - Mona Hashim
- Department of Clinical Nutrition and Dietetics, College of Health Sciences, University of Sharjah, P.O. Box 27272, Sharjah, United Arab Emirates
- Research Institute of Medical and Health Sciences, University of Sharjah, P.O. Box 27272, Sharjah, United Arab Emirates
| | - Hamzah AlZubaidi
- Research Institute of Medical and Health Sciences, University of Sharjah, P.O. Box 27272, Sharjah, United Arab Emirates.
- Department of Pharmacy Practice and Pharmacotherapeutics, University of Sharjah, P.O. Box 27272, Sharjah, United Arab Emirates.
- School of Medicine, Deakin Rural Health, Deakin University Faculty of Health, Warrnambool, VIC, 3216, Australia.
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Stacey D, Lewis KB, Smith M, Carley M, Volk R, Douglas EE, Pacheco-Brousseau L, Finderup J, Gunderson J, Barry MJ, Bennett CL, Bravo P, Steffensen K, Gogovor A, Graham ID, Kelly SE, Légaré F, Sondergaard H, Thomson R, Trenaman L, Trevena L. Decision aids for people facing health treatment or screening decisions. Cochrane Database Syst Rev 2024; 1:CD001431. [PMID: 38284415 PMCID: PMC10823577 DOI: 10.1002/14651858.cd001431.pub6] [Citation(s) in RCA: 29] [Impact Index Per Article: 29.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/30/2024]
Abstract
BACKGROUND Patient decision aids are interventions designed to support people making health decisions. At a minimum, patient decision aids make the decision explicit, provide evidence-based information about the options and associated benefits/harms, and help clarify personal values for features of options. This is an update of a Cochrane review that was first published in 2003 and last updated in 2017. OBJECTIVES To assess the effects of patient decision aids in adults considering treatment or screening decisions using an integrated knowledge translation approach. SEARCH METHODS We conducted the updated search for the period of 2015 (last search date) to March 2022 in CENTRAL, MEDLINE, Embase, PsycINFO, EBSCO, and grey literature. The cumulative search covers database origins to March 2022. SELECTION CRITERIA We included published randomized controlled trials comparing patient decision aids to usual care. Usual care was defined as general information, risk assessment, clinical practice guideline summaries for health consumers, placebo intervention (e.g. information on another topic), or no intervention. DATA COLLECTION AND ANALYSIS Two authors independently screened citations for inclusion, extracted intervention and outcome data, and assessed risk of bias using the Cochrane risk of bias tool. Primary outcomes, based on the International Patient Decision Aid Standards (IPDAS), were attributes related to the choice made (informed values-based choice congruence) and the decision-making process, such as knowledge, accurate risk perceptions, feeling informed, clear values, participation in decision-making, and adverse events. Secondary outcomes were choice, confidence in decision-making, adherence to the chosen option, preference-linked health outcomes, and impact on the healthcare system (e.g. consultation length). We pooled results using mean differences (MDs) and risk ratios (RRs) with 95% confidence intervals (CIs), applying a random-effects model. We conducted a subgroup analysis of 105 studies that were included in the previous review version compared to those published since that update (n = 104 studies). We used Grading of Recommendations Assessment, Development, and Evaluation (GRADE) to assess the certainty of the evidence. MAIN RESULTS This update added 104 new studies for a total of 209 studies involving 107,698 participants. The patient decision aids focused on 71 different decisions. The most common decisions were about cardiovascular treatments (n = 22 studies), cancer screening (n = 17 studies colorectal, 15 prostate, 12 breast), cancer treatments (e.g. 15 breast, 11 prostate), mental health treatments (n = 10 studies), and joint replacement surgery (n = 9 studies). When assessing risk of bias in the included studies, we rated two items as mostly unclear (selective reporting: 100 studies; blinding of participants/personnel: 161 studies), due to inadequate reporting. Of the 209 included studies, 34 had at least one item rated as high risk of bias. There was moderate-certainty evidence that patient decision aids probably increase the congruence between informed values and care choices compared to usual care (RR 1.75, 95% CI 1.44 to 2.13; 21 studies, 9377 participants). Regarding attributes related to the decision-making process and compared to usual care, there was high-certainty evidence that patient decision aids result in improved participants' knowledge (MD 11.90/100, 95% CI 10.60 to 13.19; 107 studies, 25,492 participants), accuracy of risk perceptions (RR 1.94, 95% CI 1.61 to 2.34; 25 studies, 7796 participants), and decreased decisional conflict related to feeling uninformed (MD -10.02, 95% CI -12.31 to -7.74; 58 studies, 12,104 participants), indecision about personal values (MD -7.86, 95% CI -9.69 to -6.02; 55 studies, 11,880 participants), and proportion of people who were passive in decision-making (clinician-controlled) (RR 0.72, 95% CI 0.59 to 0.88; 21 studies, 4348 participants). For adverse outcomes, there was high-certainty evidence that there was no difference in decision regret between the patient decision aid and usual care groups (MD -1.23, 95% CI -3.05 to 0.59; 22 studies, 3707 participants). Of note, there was no difference in the length of consultation when patient decision aids were used in preparation for the consultation (MD -2.97 minutes, 95% CI -7.84 to 1.90; 5 studies, 420 participants). When patient decision aids were used during the consultation with the clinician, the length of consultation was 1.5 minutes longer (MD 1.50 minutes, 95% CI 0.79 to 2.20; 8 studies, 2702 participants). We found the same direction of effect when we compared results for patient decision aid studies reported in the previous update compared to studies conducted since 2015. AUTHORS' CONCLUSIONS Compared to usual care, across a wide variety of decisions, patient decision aids probably helped more adults reach informed values-congruent choices. They led to large increases in knowledge, accurate risk perceptions, and an active role in decision-making. Our updated review also found that patient decision aids increased patients' feeling informed and clear about their personal values. There was no difference in decision regret between people using decision aids versus those receiving usual care. Further studies are needed to assess the impact of patient decision aids on adherence and downstream effects on cost and resource use.
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Affiliation(s)
- Dawn Stacey
- School of Nursing, University of Ottawa, Ottawa, Canada
- Centre for Implementation Research, Ottawa Hospital Research Institute, Ottawa, Canada
| | | | | | - Meg Carley
- Centre for Implementation Research, Ottawa Hospital Research Institute, Ottawa, Canada
| | - Robert Volk
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Elisa E Douglas
- Health Services Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Jeanette Finderup
- Department of Renal Medicine, Aarhus University Hospital, Aarhus, Denmark
| | | | - Michael J Barry
- Informed Medical Decisions Program, Massachusetts General Hospital, Boston, MA, USA
| | - Carol L Bennett
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Canada
| | - Paulina Bravo
- Education and Cancer Prevention, Fundación Arturo López Pérez, Santiago, Chile
| | - Karina Steffensen
- Center for Shared Decision Making, IRS - Lillebælt Hospital, Vejle, Denmark
| | - Amédé Gogovor
- VITAM - Centre de recherche en santé durable, Université Laval, Quebec, Canada
| | - Ian D Graham
- Centre for Implementation Research, Ottawa Hospital Research Institute, Ottawa, Canada
- School of Epidemiology, Public Health and Preventative Medicine, University of Ottawa, Ottawa, Canada
| | - Shannon E Kelly
- Cardiovascular Research Methods Centre, University of Ottawa Heart Institute, Ottawa, Canada
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Canada
| | - France Légaré
- Centre de recherche sur les soins et les services de première ligne de l'Université Laval (CERSSPL-UL), Université Laval, Quebec, Canada
| | | | - Richard Thomson
- Institute of Health and Society, Newcastle University, Newcastle upon Tyne, UK
| | - Logan Trenaman
- Department of Health Systems and Population Health, School of Public Health, University of Washington, Seattle, WA, USA
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Gulanski BI, Goulet JL, Radhakrishnan K, Ko J, Li Y, Rajeevan N, Lee KM, Heberer K, Lynch JA, Streja E, Mutalik P, Cheung KH, Concato J, Shih MC, Lee JS, Aslan M. Metformin prescription for U.S. veterans with prediabetes, 2010-2019. J Investig Med 2024; 72:139-150. [PMID: 37668313 DOI: 10.1177/10815589231201141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/06/2023]
Abstract
Affecting an estimated 88 million Americans, prediabetes increases the risk for developing type 2 diabetes mellitus (T2DM), and independently, cardiovascular disease, retinopathy, nephropathy, and neuropathy. Nevertheless, little is known about the use of metformin for diabetes prevention among patients in the Veterans Health Administration, the largest integrated healthcare system in the U.S. This is a retrospective observational cohort study of the proportion of Veterans with incident prediabetes who were prescribed metformin at the Veterans Health Administration from October 2010 to September 2019. Among 1,059,605 Veterans with incident prediabetes, 12,009 (1.1%) were prescribed metformin during an average 3.4 years of observation after diagnosis. Metformin prescribing was marginally higher (1.6%) among those with body mass index (BMI) ≥35 kg/m2, age <60 years, HbA1c≥6.0%, or those with a history of gestational diabetes, all subgroups at a higher risk for progression to T2DM. In a multivariable model, metformin was more likely to be prescribed for those with BMI ≥35 kg/m2 incidence rate ratio [IRR] 2.6 [95% confidence intervals (CI): 2.1-3.3], female sex IRR, 2.4 [95% CI: 1.8-3.3], HbA1c≥6% IRR, 1.93 [95% CI: 1.5-2.4], age <60 years IRR, 1.7 [95% CI: 1.3-2.3], hypertriglyceridemia IRR, 1.5 [95% CI: 1.2-1.9], hypertension IRR, 1.5 [95% CI: 1.1-2.1], Major Depressive Disorder IRR, 1.5 [95% CI: 1.1-2.0], or schizophrenia IRR, 2.1 [95% CI: 1.2-3.8]. Over 20% of Veterans with prediabetes attended a comprehensive structured lifestyle modification clinic or program. Among Veterans with prediabetes, metformin was prescribed to 1.1% overall, a proportion that marginally increased to 1.6% in the subset of individuals at highest risk for progression to T2DM.
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Affiliation(s)
- Barbara I Gulanski
- Department of Medicine, Endocrinology, VA Connecticut Healthcare System, West Haven, CT, USA
- Department of Medicine, Endocrinology, Yale University School of Medicine, New Haven, CT, USA
| | - Joseph L Goulet
- Section of Biomedical Informatics and Data Science, Yale University School of Medicine, New Haven, CT, USA
- Pain, Research, Informatics, Multi-morbidities and Education Center (PRIME), West Haven, CT, USA
| | - Krishnan Radhakrishnan
- National Mental Health and Substance Use Policy Laboratory, Substance Abuse and Mental Health Services Administration, Rockville, MD, USA
| | - John Ko
- VA Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT, USA
| | - Yuli Li
- Section of Biomedical Informatics and Data Science, Yale University School of Medicine, New Haven, CT, USA
- VA Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT, USA
| | - Nallakkandi Rajeevan
- Section of Biomedical Informatics and Data Science, Yale University School of Medicine, New Haven, CT, USA
- VA Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT, USA
| | - Kyung Min Lee
- VA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, UT, USA
| | - Kent Heberer
- VA Palo Alto Cooperative Studies Program Coordinating Center, VA Palo Alto Heath Care System, CA, USA
- Division of Endocrinology, Gerontology, and Metabolism, Department of Medicine, Endocrinology, Stanford University School of Medicine, Stanford, CA, USA
| | - Julie A Lynch
- VA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, UT, USA
- Department of Internal Medicine, Division of Epidemiology, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Elani Streja
- Department of Medicine, Nephrology, Hypertension and Transplant, University of California-Irvine School of Medicine, Long Beach, CA, USA
| | - Pradeep Mutalik
- Section of Biomedical Informatics and Data Science, Yale University School of Medicine, New Haven, CT, USA
- VA Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT, USA
| | - Kei-Hoi Cheung
- Section of Biomedical Informatics and Data Science, Yale University School of Medicine, New Haven, CT, USA
- VA Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT, USA
- Department of Emergency Medicine, Yale University School of Medicine, New Haven, CT, USA
| | - John Concato
- Department of Medicine, Yale University School of Medicine, New Haven, CT, USA
- Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA
| | - Mei-Chiung Shih
- VA Palo Alto Cooperative Studies Program Coordinating Center, VA Palo Alto Heath Care System, CA, USA
- Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA
| | - Jennifer S Lee
- VA Palo Alto Cooperative Studies Program Coordinating Center, VA Palo Alto Heath Care System, CA, USA
- Division of Endocrinology, Gerontology, and Metabolism, Department of Medicine, Endocrinology, Stanford University School of Medicine, Stanford, CA, USA
| | - Mihaela Aslan
- VA Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT, USA
- Department of Medicine, Yale University School of Medicine, New Haven, CT, USA
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11
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Duru OK, Mangione CM, Turk N, Chon J, Fu J, Cheng G, Cheng F, Moss A, Frosch D, Jeffers KS, Castellon-Lopez Y, Tseng CH, Maranon R, Norris KC, Moin T. The Effectiveness of Shared Decision-making for Diabetes Prevention: 24- and 36-Month Results From the Prediabetes Informed Decision and Education (PRIDE) Trial. Diabetes Care 2023; 46:2218-2222. [PMID: 37770039 PMCID: PMC10698217 DOI: 10.2337/dc23-0829] [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] [Received: 05/08/2023] [Accepted: 09/11/2023] [Indexed: 10/03/2023]
Abstract
OBJECTIVE We conducted a cluster-randomized, shared decision-making (SDM) trial offering lifestyle change, metformin, or both options, to adults at risk for diabetes in a primary care network (n = 20 practices). RESEARCH DESIGN AND METHODS We used propensity score matching to identify control patients and used electronic health record data to compare weight loss at 24 and 36 months of follow-up and diabetes incidence at 36 months of follow-up. RESULTS In adjusted post hoc analyses, SDM participants (n = 489) maintained modestly greater 24-month weight loss of -3.1 lb and 36-month weight loss of -2.7 lb versus controls (n = 1,430, both comparisons P < 0.001). SDM participants who chose both lifestyle change and metformin sustained weight loss at 36 months of -4.1 lb (P < 0.001 vs. controls). We found no differences in incident diabetes (15% of SDM participants, 14% of control participants; P = 0.64). CONCLUSIONS This is one of the first studies to demonstrate weight loss maintenance up to 36 months after diabetes prevention SDM.
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Affiliation(s)
- O. Kenrik Duru
- Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA
| | - Carol M. Mangione
- Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA
- Fielding School of Public Health, University of California, Los Angeles, Los Angeles, Los Angeles, CA
| | - Norman Turk
- Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA
| | - Janet Chon
- Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA
| | - Jeffery Fu
- Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA
| | - Grace Cheng
- Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA
| | - Felicia Cheng
- Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA
| | - Amanda Moss
- Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA
| | | | - Kia Skrine Jeffers
- School of Nursing, University of California, Los Angeles, Los Angeles, Los Angeles, CA
| | | | - Chi-Hong Tseng
- Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA
| | - Richard Maranon
- Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA
| | - Keith C. Norris
- Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA
| | - Tannaz Moin
- Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA
- Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA
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12
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Valentine KD, Brodney S, Sepucha K, Barry MJ. Predictors of Informed People's Preferences for Statin Therapy to Reduce Cardiovascular Disease Risk: an Internet Survey Study. J Gen Intern Med 2023; 38:36-41. [PMID: 35230620 PMCID: PMC9849500 DOI: 10.1007/s11606-022-07440-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Accepted: 01/25/2022] [Indexed: 01/22/2023]
Abstract
BACKGROUND Guidelines suggest clinicians inform patients about their 10-year cardiovascular disease (CVD) risk; however, little is known about how the risk estimate influences patients' preferences for statin therapy for primary prevention. OBJECTIVE To define predictors of preference for statin therapy after participants were informed about their individualized benefits and harms. DESIGN Cross-sectional survey in 2020. SETTING Online US survey panel. PARTICIPANTS A national sample of 304 respondents aged 40 to 75 who had not previously taken a statin and who knew their cholesterol levels and blood pressure measurements. INTERVENTION Participants entered their risk factors into a calculator which estimated their 10-year CVD risk. They were then provided with an estimate of their absolute risk reduction with a statin and the chance of side effects from meta-analyses. MAIN MEASUREMENTS We used a hierarchical model to predict participants' preferences for statin therapy according to their 10-year CVD risk, perceptions of the magnitude of statin benefit (large, medium, small, or almost no benefit), worry about side effects (very worried, somewhat worried, a little worried, not worried at all), and other variables. KEY RESULTS Participants had a mean age of 55 years (SD = 9.9); 50% were female, 44% were non-white, and 16% had a high school degree or less education. After reviewing their benefits and side effects, 45% of the participants reported they probably or definitely wanted to take a statin. In the full hierarchical model, only perceived benefits of taking a statin was a significant independent predictor of wanting a statin (OR 7.3, 95% CI 4.7, 12.2). LIMITATIONS Participants were from an internet survey panel and making hypothetical decisions. CONCLUSIONS Participants' perceptions of their benefit from statin therapy predicted wanting to take a statin for primary prevention; neither estimated CVD risk nor worries about statin side effects were independent predictors.
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Affiliation(s)
- K D Valentine
- Health Decision Sciences Center, Massachusetts General Hospital, Boston, USA
| | - Suzanne Brodney
- Health Decision Sciences Center, Massachusetts General Hospital, Boston, USA
- Informed Medical Decisions Program, Massachusetts General Hospital, Boston, MA, USA
| | - Karen Sepucha
- Health Decision Sciences Center, Massachusetts General Hospital, Boston, USA
| | - Michael J Barry
- Health Decision Sciences Center, Massachusetts General Hospital, Boston, USA.
- Informed Medical Decisions Program, Massachusetts General Hospital, Boston, MA, USA.
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13
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Madievsky R, Vu A, Cheng F, Chon J, Turk N, Krueger A, Krong J, Maranon R, Liu S, Han CS, Norris KC, Mangione C, Page J, Thomas S, Duru OK, Moin T. A randomized controlled trial of a shared decision making intervention for diabetes prevention for women with a history of gestational diabetes mellitus: The Gestational diabetes Risk Attenuation for New Diabetes (GRAND study). Contemp Clin Trials 2023; 124:107007. [PMID: 36384219 PMCID: PMC10642368 DOI: 10.1016/j.cct.2022.107007] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Revised: 10/14/2022] [Accepted: 11/10/2022] [Indexed: 11/15/2022]
Abstract
BACKGROUND Gestational diabetes mellitus (GDM) is a risk factor for the development of type 2 diabetes. Metformin and lifestyle change through a Diabetes Prevention Program (DPP) are equally effective in preventing diabetes in patients with a GDM history, so women can choose a strategy based on their preferences. This study aims to test whether shared decision making (SDM) can help women with a history of GDM increase adoption of evidence-based strategies and lose weight to lower their risk of incident diabetes in real-world settings. METHODS This pragmatic randomized controlled trial (RCT) will test the effectiveness of SDM for diabetes prevention among 310 overweight/obese women with a history of GDM and prediabetes from two large health care systems (n = 155 from UCLA Health and n = 155 from Intermountain Healthcare). The primary outcome is the proportion of participants who lose ≥5% body weight at 12 months. Secondary outcomes include uptake of DPP and/or metformin and other patient-reported outcomes such as patient activation and health-related quality of life. Rates of GDM in a subsequent pregnancy will be an exploratory outcome. A descriptive analysis of costs related to SDM implementation will also be conducted. CONCLUSION This is the first RCT to examine the effectiveness of SDM on weight loss, lifestyle change and/or metformin use, and other patient-reported outcomes in participants with a GDM history at risk of developing diabetes. TRIAL REGISTRATION ClinicalTrials.gov, NCT03766256. Registered on 6 December 2018.
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Affiliation(s)
- Ruth Madievsky
- Department of Medicine, Division of General Internal Medicine-Health Services Research, University of California, 1100 Glendon Ave STE 850, Los Angeles, CA 90024, USA.
| | - Amanda Vu
- Department of Medicine, Division of General Internal Medicine-Health Services Research, University of California, 1100 Glendon Ave STE 850, Los Angeles, CA 90024, USA.
| | - Felicia Cheng
- Department of Medicine, Division of General Internal Medicine-Health Services Research, University of California, 1100 Glendon Ave STE 850, Los Angeles, CA 90024, USA.
| | - Janet Chon
- Department of Medicine, Division of General Internal Medicine-Health Services Research, University of California, 1100 Glendon Ave STE 850, Los Angeles, CA 90024, USA.
| | - Norman Turk
- Department of Medicine, Division of General Internal Medicine-Health Services Research, University of California, 1100 Glendon Ave STE 850, Los Angeles, CA 90024, USA.
| | - Ashley Krueger
- Healthcare Delivery Institute, Office of Research, Intermountain Healthcare, 5026 S. State St, Murray, UT 84107, USA.
| | - Jacob Krong
- Healthcare Delivery Institute, Office of Research, Intermountain Healthcare, 5026 S. State St, Murray, UT 84107, USA.
| | - Richard Maranon
- Department of Medicine, Division of General Internal Medicine-Health Services Research, University of California, 1100 Glendon Ave STE 850, Los Angeles, CA 90024, USA.
| | - Sandra Liu
- Department of Medicine, Division of General Internal Medicine-Health Services Research, University of California, 1100 Glendon Ave STE 850, Los Angeles, CA 90024, USA.
| | - Christina S Han
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of California, 200 Medical Plaza, Suite 430, Los Angeles, CA 90095, USA.
| | - Keith C Norris
- Department of Medicine, Division of General Internal Medicine-Health Services Research, University of California, David Geffen School of Medicine at UCLA, 1100 Glendon Ave STE 850, Los Angeles, CA 90024, USA.
| | - Carol Mangione
- Department of Medicine, Division of General Internal Medicine-Health Services Research, University of California, David Geffen School of Medicine at UCLA, 1100 Glendon Ave STE 850, Los Angeles, CA 90024, USA; Jonathan and Karin Fielding School of Public Health, University of California, Los Angeles, CA, USA.
| | - Jessica Page
- Department of Maternal-Fetal Medicine, Intermountain Healthcare. Department of Maternal-Fetal Medicine, University of Utah Health, 8th Ave & C St E, Salt Lake City, UT 84143, USA.
| | - Samuel Thomas
- Department of Internal Medicine, Intermountain Healthcare, 5121 Cottonwood St, Murray, UT 84017, USA.
| | - O Kenrik Duru
- Department of Medicine, Division of General Internal Medicine-Health Services Research, University of California, David Geffen School of Medicine at UCLA, 1100 Glendon Ave STE 850, Los Angeles, CA 90024, USA.
| | - Tannaz Moin
- Department of Medicine, Division of General Internal Medicine-Health Services Research, University of California, 1100 Glendon Ave STE 850, Los Angeles, CA 90024, USA; HSR&D Center for the Study of Healthcare Innovation, Implementation & Policy, VA Greater Los Angeles Healthcare System, Los Angeles, CA 90073, USA; Department of Medicine, Division of Endocrinology, Diabetes & Metabolism, UCLA, Los Angeles, CA 90024, USA.
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14
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Saju R, Castellon-Lopez Y, Turk N, Moin T, Mangione CM, Norris KC, Vu A, Maranon R, Fu J, Cheng F, Duru OK. Differences in Weight Loss by Race and Ethnicity in the PRIDE Trial: a Qualitative Analysis of Participant Perspectives. J Gen Intern Med 2022; 37:3715-3722. [PMID: 35469358 PMCID: PMC9037581 DOI: 10.1007/s11606-022-07521-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Accepted: 03/28/2022] [Indexed: 11/26/2022]
Abstract
BACKGROUND Many Diabetes Prevention Program (DPP) translation efforts have been less effective for underresourced populations. In the cluster-randomized Prediabetes Informed Decision and Education (PRIDE) trial, which evaluated a shared decision-making (SDM) intervention for diabetes prevention, Hispanic and non-Hispanic Black participants lost less weight than non-Hispanic White participants at 12-month follow-up. OBJECTIVE To explore perspectives about weight loss from PRIDE participants of different racial and ethnic groups. PARTICIPANTS Sample of participants with prediabetes who were randomized to the PRIDE intervention arm (n=24). APPROACH We conducted semi-structured interviews within three groups stratified by DPP participation and % weight loss at 12 months: (DPP+/WL+, enrolled in DPP and lost >5% weight; DPP+/WL-, enrolled in DPP and lost <3% weight; DPP-/WL-, did not enroll in DPP and lost <3% weight). Each group was further subdivided on race and ethnicity (non-Hispanic Black (NHB), non-Hispanic White (NHW), Hispanic). Interviews were conducted on Zoom and transcripts were coded and analyzed with Dedoose. KEY RESULTS Compared to NHW participants, Hispanic and NHB participants more often endorsed weight loss barriers of limited time to make lifestyle changes due to long work and commute hours, inconvenient DPP class locations and offerings, and limited disposable income for extra weight loss activities. Conversely, facilitators of weight loss regardless of race and ethnicity included retirement or having flexible work schedules; being able to identify convenient DPP classes; having a strong, positive support system; and purchasing supplementary resources to support lifestyle change (e.g., gym memberships, one-on-one activity classes). CONCLUSIONS We found that NHB and Hispanic SDM participants report certain barriers to weight loss more commonly than NHW participants, particularly barriers related to limited disposable income and/or time constraints. Our findings suggest that increased lifestyle change support and flexible program delivery options may be needed to ensure equity in DPP reach, participant engagement, and outcomes.
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Affiliation(s)
- Rintu Saju
- David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Yelba Castellon-Lopez
- David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Family Medicine, University of California, Los Angeles, CA, USA
| | - Norman Turk
- David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Medicine, Division of General Internal Medicine and Health Services Research, University of California, Los Angeles, CA, USA
| | - Tannaz Moin
- David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Medicine, Division of General Internal Medicine and Health Services Research, University of California, Los Angeles, CA, USA
- VA Greater Los Angeles Health System and HSR&D Center for Study of Healthcare Innovation, Implementation & Policy, University of California, Los Angeles, CA, USA
- Division of Endocrinology, Diabetes & Metabolism, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Carol M Mangione
- David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Medicine, Division of General Internal Medicine and Health Services Research, University of California, Los Angeles, CA, USA
- Jonathan and Karin Fielding School of Public Health, University of California, Los Angeles, CA, USA
| | - Keith C Norris
- David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Medicine, Division of General Internal Medicine and Health Services Research, University of California, Los Angeles, CA, USA
| | - Amanda Vu
- David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Medicine, Division of General Internal Medicine and Health Services Research, University of California, Los Angeles, CA, USA
| | - Richard Maranon
- David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Medicine, Division of General Internal Medicine and Health Services Research, University of California, Los Angeles, CA, USA
| | - Jeffery Fu
- David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Medicine, Division of General Internal Medicine and Health Services Research, University of California, Los Angeles, CA, USA
| | - Felicia Cheng
- David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Department of Medicine, Division of General Internal Medicine and Health Services Research, University of California, Los Angeles, CA, USA
| | - O Kenrik Duru
- David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
- Department of Medicine, Division of General Internal Medicine and Health Services Research, University of California, Los Angeles, CA, USA.
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15
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Riedl MA, Neville D, Cloud B, Desai B, Bernstein JA. Shared decision-making in the management of hereditary angioedema: An analysis of patient and physician perspectives. Allergy Asthma Proc 2022; 43:397-405. [PMID: 35820771 DOI: 10.2500/aap.2022.43.220050] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Background: Hereditary angioedema (HAE) is a rare genetic disorder characterized by recurrent, localized episodes of edema. Current treatment guidelines highlight the importance of shared decision-making (SDM) during implementation of HAE management plans. Objective: To determine what constitutes a successful SDM approach in HAE management. Method: Qualitative telephone interviews, which lasted ∼1 hour, were conducted with four HAE physicians and four patients from the APeX-S trial. The physicians were asked to describe the structure and/or content of typical HAE prophylaxis consultations and factors to consider when selecting medications for long-term treatment. Insights from these interviews were used to develop an SDM process diagram. The patients were interviewed to assess how closely the diagram fit their perspectives on the HAE consultation and their involvement in decisions that concerned their care. Interview transcripts were assessed by the interviewer to determine the degree of SDM involvement in each consultation by using qualitative criteria from the literature. Results: Two physicians followed a high-SDM format, and one physician used a "blended" approach. The fourth physician followed a standard (low SDM) format. A successful SDM approach was found to require pre-visit planning, a commitment on behalf of the physician to use SDM methods to learn more about the patient, and empowerment of the patient to reflect on and vocalize his or her preferences and/or needs. Patients engaged in SDM were more likely to proactively request a treatment switch. Conclusion: The adoption of validated HAE-specific treatment decision aids, as well as measures to change the mindsets of patients and physicians, may facilitate successful implementation of SDM in HAE.Clinical Trial Registration: The APeX-S trial was registered with clinicaltrials.gov (NCT03472040).
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Affiliation(s)
- Marc A Riedl
- From the Division of Rheumatology, Allergy, and Immunology, Department of Medicine, University of California, San Diego, La Jolla, California
| | | | | | - Bhavisha Desai
- BioCryst Pharmaceuticals, Inc., Durham, North Carolina; and
| | - Jonathan A Bernstein
- Allergy Section, Division of Immunology, Department of Internal Medicine, College of Medicine, University of Cincinnati, Cincinnati, Ohio
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16
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Remission of type 2 diabetes depends on prompt comprehensive lifestyle changes upon diagnosis: How can this "Road to Damascus" experience be supported? JOURNAL OF INTEGRATIVE MEDICINE 2022; 20:288-291. [PMID: 35430168 DOI: 10.1016/j.joim.2022.04.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Accepted: 03/01/2022] [Indexed: 12/30/2022]
Abstract
Theoretically, a new diagnosis of type 2 diabetes mellitus (T2DM) requires a dramatic change in an individual's way of life. Weight loss and physical activity can lead to remission of diabetes, which has been associated with a lower risk of developing complications. Today, the importance of a healthy lifestyle is further highlighted by data showing that obesity and diabetes increase the risk of severe complications from coronavirus disease 2019. However, remission rarely occurs in reality, probably due to the inability of people with T2DM to adhere to the intensive lifestyle interventions that are necessary. The complexity of contributing factors may explain why making these changes is so challenging and underscore the fact that there is no magical solution for T2DM. Instead, hard work from both patients and health care providers is needed for the conversion to be achieved. This article calls for more research on the underlying reasons why adhering to a healthy way of life is so difficult for people with diabetes and obesity. Clearly defining these barriers would facilitate the planning of effective policies to promote the adoption of appropriate lifestyle changes early in the course of the disease.
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17
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Pike JM, Yazel LG, Haberlin-Pittz KM, Machuca LA, McKinney BM, Hannon TS. Design and methods of a tailored approach for diabetes prevention in women with previous gestational diabetes. J Comp Eff Res 2022; 11:477-487. [PMID: 35416051 DOI: 10.2217/cer-2021-0288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Aim: To describe the design and methods of an intervention that engaged women with previous gestational diabetes mellitus in a tailored approach for diabetes prevention. Methods: Women participated in biometric tests for BMI and hemoglobin A1c, psychosocial questionnaires and an informed decision-making process to select a lifestyle change program for Type 2 diabetes prevention based on their needs and priorities. Measure time points were at baseline, 6 months and 12 months. Results: The authors recruited 116 women. The outcomes of this study will evaluate the effect of this strategy on participant engagement in lifestyle change programs for Type 2 diabetes prevention. Conclusion: This paper describes a variety of lifestyle change programs and an informed decision-making process for tailoring diabetes prevention programs for a high-risk population.
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Affiliation(s)
- Julie M Pike
- Department of Pediatric & Adolescent Comparative Effectiveness Research, Indiana University School of Medicine, 410 West 10th Street, Indianapolis, IN 46202, USA
- Department of Pediatric Endocrinology, Riley Children's Health, Indiana University Health, 705 Riley Hospital Drive, Indianapolis, IN 46202, USA
| | - Lisa G Yazel
- Department of Pediatric & Adolescent Comparative Effectiveness Research, Indiana University School of Medicine, 410 West 10th Street, Indianapolis, IN 46202, USA
| | - Kathryn M Haberlin-Pittz
- Department of Pediatric & Adolescent Comparative Effectiveness Research, Indiana University School of Medicine, 410 West 10th Street, Indianapolis, IN 46202, USA
- Department of Pediatric Endocrinology, Riley Children's Health, Indiana University Health, 705 Riley Hospital Drive, Indianapolis, IN 46202, USA
| | - Luz A Machuca
- Department of Pediatric & Adolescent Comparative Effectiveness Research, Indiana University School of Medicine, 410 West 10th Street, Indianapolis, IN 46202, USA
| | - Brett M McKinney
- Department of Pediatric & Adolescent Comparative Effectiveness Research, Indiana University School of Medicine, 410 West 10th Street, Indianapolis, IN 46202, USA
| | - Tamara S Hannon
- Department of Pediatric & Adolescent Comparative Effectiveness Research, Indiana University School of Medicine, 410 West 10th Street, Indianapolis, IN 46202, USA
- Department of Pediatric Endocrinology, Riley Children's Health, Indiana University Health, 705 Riley Hospital Drive, Indianapolis, IN 46202, USA
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18
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Davidson KW, Mangione CM, Barry MJ, Nicholson WK, Cabana MD, Caughey AB, Davis EM, Donahue KE, Doubeni CA, Kubik M, Li L, Ogedegbe G, Pbert L, Silverstein M, Stevermer J, Tseng CW, Wong JB. Collaboration and Shared Decision-Making Between Patients and Clinicians in Preventive Health Care Decisions and US Preventive Services Task Force Recommendations. JAMA 2022; 327:1171-1176. [PMID: 35315879 DOI: 10.1001/jama.2022.3267] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
The US Preventive Services Task Force (USPSTF) works to improve the health of people nationwide by making evidence-based recommendations for preventive services. Patient-centered care is a core value in US health care. Shared decision-making (SDM), in which patients and clinicians make health decisions together, ensures patients' rights to be informed and involved in preventive care decisions and that these decisions are patient-centered. SDM has a role across the spectrum of USPSTF recommendations. For A or B recommendations (judged by the USPSTF to have high or moderate certainty of a moderate or substantial net benefit at the population level), SDM allows individual patients to decide whether to accept such services based on their personal values and preferences. For C recommendations (indicating at least moderate certainty of a small net benefit at the population level), SDM is critical for individual patients to decide whether the net benefit for them is worthwhile. For D recommendations (reflecting at least moderate certainty of a zero or negative net benefit) or I statements (low certainty of net benefit), clinicians should be prepared to discuss these services if patients ask. More evidence is needed to determine if, in addition to promoting patient-centeredness, SDM reduces inequities in preventive care, as well as to define new strategies to find time for discussion of preventive services in primary care.
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Affiliation(s)
| | - Karina W Davidson
- Feinstein Institutes for Medical Research at Northwell Health, New York, New York
| | | | | | | | | | | | - Esa M Davis
- University of Pittsburgh, Pittsburgh, Pennsylvania
| | | | | | | | - Li Li
- University of Virginia, Charlottesville
| | | | - Lori Pbert
- University of Massachusetts Medical School, Worcester
| | | | | | - Chien-Wen Tseng
- University of Hawaii, Honolulu
- Pacific Health Research and Education Institute, Honolulu, Hawaii
| | - John B Wong
- Tufts University School of Medicine, Boston, Massachusetts
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19
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Spence R, Sisson EM, Dixon DL. Survey of CDC-Recognized Community Pharmacies Providing the National Diabetes Prevention Program (NDPP) and Impact of the COVID-19 Pandemic on Program Delivery. J Am Pharm Assoc (2003) 2022; 62:1581-1586. [PMID: 35461779 PMCID: PMC8968123 DOI: 10.1016/j.japh.2022.03.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 03/08/2022] [Accepted: 03/25/2022] [Indexed: 10/27/2022]
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20
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Williams J, Sachdev N, Kirley K, Moin T, Duru OK, Brunisholz KD, Sill K, Joy E, Aquino GC, Brown AR, O'Connell C, Rea B, Craig-Buckholtz H, Witherspoon PW, Bruett C. Implementation of Diabetes Prevention in Health Care Organizations: Best Practice Recommendations. Popul Health Manag 2022; 25:31-38. [PMID: 34161148 PMCID: PMC8861908 DOI: 10.1089/pop.2021.0044] [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] [Indexed: 11/30/2022] Open
Abstract
Approximately 1 in 3 American adults has prediabetes, a condition characterized by blood glucose levels that are above normal, not in the type 2 diabetes ranges, and that increases the risk of developing type 2 diabetes. Evidence-based treatments can be used to prevent or delay type 2 diabetes in adults with prediabetes. The American Medical Association (AMA) has collaborated with health care organizations across the country to build sustainable diabetes prevention strategies. In 2017, the AMA formed the Diabetes Prevention Best Practices Workgroup (DPBP) with representatives from 6 health care organizations actively implementing diabetes prevention. Each organization had a unique strategy, but all included the National Diabetes Prevention Program lifestyle change program as a core evidence-based intervention. DPBP established the goal of disseminating best practices to guide other health care organizations in implementing diabetes prevention and identifying and managing patients with prediabetes. Workgroup members recognized similarities in some of their basic steps and considerations and synthesized their practices to develop best practice recommendations for 3 strategy maturity phases. Recommendations for each maturity phase are classified into 6 categories: (1) organizational support; (2) workforce and funding; (3) promotion and dissemination; (4) clinical integration and support; (5) evaluation and outcomes; (6) and program. As the burden of chronic disease grows, prevention must be prioritized and integrated into health care. These maturity phases and best practice recommendations can be used by any health care organization committed to diabetes prevention. Further research is suggested to assess the impact and adoption of diabetes prevention best practices.
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Affiliation(s)
- Janet Williams
- Improving Health Outcomes, American Medical Association, Chicago, Illinois, USA.,Address correspondence to: Janet Williams, MA, Improving Health Outcomes, American Medical Association, 330 N. Wabash Avenue, Chicago, IL 60611, USA
| | - Neha Sachdev
- Improving Health Outcomes, American Medical Association, Chicago, Illinois, USA.,David Geffen School of Medicine, UCLA and VA, Los Angeles, California, USA
| | - Kate Kirley
- Improving Health Outcomes, American Medical Association, Chicago, Illinois, USA.,David Geffen School of Medicine, UCLA, Los Angeles, California, USA
| | - Tannaz Moin
- David Geffen School of Medicine, UCLA and VA, Los Angeles, California, USA
| | - O. Kenrik Duru
- David Geffen School of Medicine, UCLA, Los Angeles, California, USA
| | | | - Kelly Sill
- Improving Health Outcomes, American Medical Association, Chicago, Illinois, USA
| | - Elizabeth Joy
- Wellness and Nutrition, Intermountain Healthcare, Salt Lake City, Utah, USA
| | - Gina C. Aquino
- Henry Ford Macomb Hospital, Clinton Township, Michigan, USA
| | - Ameldia R. Brown
- Faith and Community Health, Henry Ford Health System, Clinton Township, Michigan, USA
| | | | - Brenda Rea
- Department of Family Medicine and Preventive Medicine, Loma Linda University Health, Redlands, California, USA
| | - Holly Craig-Buckholtz
- Diabetes and Outpatient Wound Care Services, Loma Linda University Medical Center, Loma Linda, California, USA
| | | | - Cindy Bruett
- Diabetes Prevention Program, Community Health & Well-Being, Trinity Health, Livonia, Michigan, USA
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21
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Xu K, Nolan S, Mihic T, Ti L. Improving Opioid Stewardship Programs Through Shared Decision Making. J Am Pharm Assoc (2003) 2022; 62:697-700. [DOI: 10.1016/j.japh.2022.02.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 02/01/2022] [Accepted: 02/02/2022] [Indexed: 10/19/2022]
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22
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Cho SH, Yun JM, Lee JE, Lee H, Joh HK, Cho B. Comparison of Two Strategies to Increase Serum Vitamin D Levels in a Real-World Setting: Sunlight Exposure and Oral Supplementation. J Nutr Sci Vitaminol (Tokyo) 2022; 67:384-390. [PMID: 34980716 DOI: 10.3177/jnsv.67.384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
Sunlight exposure and oral supplementation are the key strategies to increase serum 25-hydroxyvitamin D [25(OH)D] concentration. We aimed to determine elevation in serum 25(OH)D levels by comparing sunlight exposure and oral vitamin D supplementation in vitamin D-deficient participants who chose the treatment strategy by shared decision-making. We enrolled 197 participants aged ≥19 y who had vitamin D deficiency (serum 25(OH)D<20 ng/mL). Participants selected their treatment method through shared decision-making by preference: sunlight exposure or 1,000 IU oral vitamin D3 supplementation daily. Changes in serum 25(OH)D concentration and duration of sunlight exposure were evaluated after 3 mo. Among 197 participants, 26 (13%) selected sunlight exposure and 171 (87%) selected oral vitamin D supplementation. Seasonal distribution of participants and follow-up rate after 3 mo were not significantly different. There was no significant increase in mean serum 25(OH)D levels in the sunlight exposure group. Conversely, the mean serum 25(OH)D level increased by 11 ng/mL after 3 mo in the oral vitamin D supplementation group. The duration of mean sunlight exposure per day during the study period was not significantly different between the groups. Oral supplementation with 1,000 IU vitamin D3 daily significantly increased serum 25(OH)D levels in vitamin D-deficient participants after 3 mo, while sunlight exposure did not. This study suggests that oral supplementation is more effective than sun exposure in increasing vitamin D levels in the Korean population. Therefore, new recommendations on maintaining adequate vitamin D levels are needed in the Korean population.
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Affiliation(s)
- Su Hwan Cho
- Department of Family Medicine, Seoul National University Hospital
| | - Jae Moon Yun
- Department of Family Medicine, Seoul National University Hospital.,Center for Health Promotion and Optimal Aging of Seoul National University Hospital in Korea
| | - Ji Eun Lee
- Department of Family Medicine, Seoul National University Hospital
| | - Hyejin Lee
- Department of Family Medicine, Seoul National University Bundang Hospital
| | - Hee-Kyung Joh
- Department of Family Medicine, Seoul National University Hospital.,Department of Medicine, Seoul National University College of Medicine.,Department of Family Medicine, Seoul National University Health Service Center
| | - Belong Cho
- Department of Family Medicine, Seoul National University Hospital.,Center for Health Promotion and Optimal Aging of Seoul National University Hospital in Korea.,Department of Family Medicine, Seoul National University College of Medicine
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23
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Vu A, Turk N, Duru OK, Mangione CM, Panchal H, Amaya S, Castellon-Lopez Y, Norris K, Moin T. Association of Type 2 Diabetes Risk Perception With Interest in Diabetes Prevention Strategies Among Women With a History of Gestational Diabetes. Diabetes Spectr 2022; 35:335-343. [PMID: 36072816 PMCID: PMC9396721 DOI: 10.2337/ds21-0056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
OBJECTIVES The aims of this study were to identify predictors of perception of type 2 diabetes risk in women with a history of gestational diabetes mellitus (GDM) and to determine factors associated with interest in evidence-based strategies for type 2 diabetes prevention. RESEARCH DESIGN AND METHODS We surveyed women with a history of GDM who had not progressed to type 2 diabetes from a large academic medical center. We used multivariate logistic regression to assess predictors of high levels of perception of type 2 diabetes risk. We also tested associations between risk perception and interest in a lifestyle change program and/or metformin therapy. RESULTS In our diverse sample of 264 women, 28% were unaware that GDM is a risk factor for incident type 2 diabetes after pregnancy, and 48% believed their personal risk of type 2 diabetes was low. In multivariate analyses, family history of diabetes (odds ratio [OR] 2.2, 95% CI 1.2-4.4) and knowledge of GDM as a risk factor for incident type 2 diabetes (OR 4.5, 95% CI 2.1-9.8) were significant predictors of greater perception of type 2 diabetes risk. Women with higher risk perception were more likely to express interest in a lifestyle change program compared with women with lower risk perception (OR 2.4, 95% CI 1.3-4.5). CONCLUSION Although some women are aware that GDM is a risk factor for incident type 2 diabetes, many still perceive their own risk of developing type 2 diabetes as low. Higher risk perception predicted interest in an evidence-based diabetes prevention program, highlighting the importance of personalized risk assessment and communication about risk for women who have had GDM.
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Affiliation(s)
- Amanda Vu
- Department of Medicine, Division of General Internal Medicine-Health Services Research, University of California, Los Angeles, Los Angeles, CA
- Corresponding author: Amanda Vu,
| | - Norman Turk
- David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA
| | - O. Kenrik Duru
- Department of Medicine, Division of General Internal Medicine-Health Services Research, University of California, Los Angeles, Los Angeles, CA
- David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA
| | - Carol M. Mangione
- Department of Medicine, Division of General Internal Medicine-Health Services Research, University of California, Los Angeles, Los Angeles, CA
- David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA
- Jonathan and Karin Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA
| | - Hemali Panchal
- David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA
| | - Sarah Amaya
- Department of Medicine, Division of General Internal Medicine-Health Services Research, University of California, Los Angeles, Los Angeles, CA
| | - Yelba Castellon-Lopez
- David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA
- Department of Family Medicine, University of California, Los Angeles, Los Angeles, CA
| | - Keith Norris
- Department of Medicine, Division of General Internal Medicine-Health Services Research, University of California, Los Angeles, Los Angeles, CA
- David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA
| | - Tannaz Moin
- David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA
- Health Services Research and Development Center for the Study of Healthcare Innovation, Implementation & Policy, VA Greater Los Angeles Health System, Los Angeles, CA
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24
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Impaired metabolic effects of metformin in men with early-onset androgenic alopecia. Pharmacol Rep 2021; 74:216-228. [PMID: 34897595 PMCID: PMC8786753 DOI: 10.1007/s43440-021-00347-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2021] [Revised: 11/15/2021] [Accepted: 11/30/2021] [Indexed: 12/31/2022]
Abstract
Background Early-onset androgenic alopecia is considered the phenotypic equivalent of polycystic ovary syndrome in men. The purpose of the current study was to investigate whether the presence of early-onset male-pattern baldness modulates metabolic effects of metformin. Methods This prospective case–control study included 2 groups of men at high risk for type 2 diabetes: 72 individuals with androgenic alopecia (group A) and 75 subjects with normal hair growth (group B). Both groups were matched for age, blood pressure, body mass index, insulin sensitivity and plasma lipids. Glycated hemoglobin, glucose, plasma lipids, indices of insulin sensitivity/resistance, sex hormones, high-sensitivity C-reactive protein (hsCRP) and 25-hydroxyvitamin D were determined before and after metformin treatment (1.7 g daily). Results Twelve-month metformin treatment reduced fat content, waist circumference, glycated hemoglobin, glucose and triglycerides, as well as improved insulin sensitivity. Although observed in both study populations, these effects were more pronounced in group B. Moreover, metformin decreased hsCRP and bioavailable testosterone levels in group B, as well as reduced 25-hydroxyvitamin D concentration in group A. Treatment-induced changes in glucose homeostasis markers correlated with the impact of metformin on hsCRP and 25-hydroxyvitamin D levels. Conclusions Metabolic effects of metformin in males are attenuated if they have coexisting early-onset androgenic alopecia. This finding may be partially explained by differences in severity of low-grade systemic inflammation and vitamin D status. The obtained results, requiring confirmation in large prospective studies, suggest that men with early-onset male-pattern baldness benefit to a lesser degree from metformin treatment than other men at high risk for type 2 diabetes. Supplementary Information The online version contains supplementary material available at 10.1007/s43440-021-00347-8.
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25
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Clements JN, Albanese NP, D'Souza JJ, Misher A, Reece S(M, Trujillo J, Whitley HP. Clinical review and role of clinical pharmacists in obesity management: An opinion of the endocrine and metabolism practice and research network of the American College of Clinical Pharmacy. JOURNAL OF THE AMERICAN COLLEGE OF CLINICAL PHARMACY 2021. [DOI: 10.1002/jac5.1512] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Affiliation(s)
- Jennifer N. Clements
- Diabetes Transition Spartanburg Regional Healthcare System Spartanburg South Carolina USA
| | - Nicole P. Albanese
- University at Buffalo School of Pharmacy and Pharmaceutical Sciences Buffalo New York USA
| | - Jennifer J. D'Souza
- Midwestern University Chicago College of Pharmacy Downers Grove Illinois USA
| | - Anne Misher
- Patient Health Support Pharmacist Caromont Health Gastonia North Carolina USA
| | | | - Jennifer Trujillo
- University of Colorado Skaggs School of Pharmacy and Pharmaceutical Sciences Aurora Colorado USA
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26
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Bandi K, Vargas MC, Lopez A, Cameron KA, Ackermann RT, Mohr L, Williams GC, Fagerlin A, Kirley K, Hodge H, Kandula NR, O'Brien MJ. Development and Evaluation of a Prediabetes Decision Aid in Primary Care: Examining Patient-Reported Outcomes by Language Preference and Educational Attainment. Sci Diabetes Self Manag Care 2021; 47:216-227. [PMID: 34000911 DOI: 10.1177/26350106211009189] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
PURPOSE The purpose of this study was to examine the development and preliminary effectiveness of a novel Prediabetes Decision Aid on adoption of intensive lifestyle interventions (ILIs) and metformin. Little research has focused on increasing uptake of these evidence-based treatments, especially among non-English speakers and those with low educational attainment. METHODS Investigators developed an English and Spanish decision aid displaying information about type 2 diabetes (T2DM) risk and treatments to prevent T2DM and prompting patients to identify next steps for management. This pilot study was a single-arm, pretest-posttest trial of 40 adult patients with prediabetes, obesity, and ≥1 office visit within the prior 12 months. Participants reviewed this tool briefly with a study team member, and data were collected on 3 coprimary outcomes: knowledge about T2DM risk, decisional conflict, and intention to adopt treatment. Exploratory outcomes included subsequent documentation of prediabetes in chart notes and adoption of ILIs or metformin. RESULTS Almost all participants were women, with nearly half expressing Spanish language preference and low educational attainment. A nonsignificant increase in knowledge was observed across all subgroups. Decisional conflict was significantly reduced from pretest to posttest and was similar between subgroups defined by language preference and educational attainment. While intention to adopt ILIs increased across all subgroups, this change was only significant among Spanish speakers and participants with low educational attainment. At 6 months, 17 participants had subsequent provider documentation of prediabetes, and 12 adopted ILIs or metformin. CONCLUSIONS The decision aid improved patient-reported outcomes and promoted treatment adoption in a diverse patient sample.
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Affiliation(s)
- Keerthi Bandi
- Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Maria C Vargas
- Northwestern University Feinberg School of Medicine, Chicago, Illinois.,Institute of Public Health and Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois.,Division of General Internal Medicine and Geriatrics, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Azucena Lopez
- Northwestern University Feinberg School of Medicine, Chicago, Illinois.,Institute of Public Health and Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois.,Division of General Internal Medicine and Geriatrics, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Kenzie A Cameron
- Northwestern University Feinberg School of Medicine, Chicago, Illinois.,Institute of Public Health and Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois.,Division of General Internal Medicine and Geriatrics, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois.,Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Ronald T Ackermann
- Northwestern University Feinberg School of Medicine, Chicago, Illinois.,Institute of Public Health and Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois.,Division of General Internal Medicine and Geriatrics, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | | | - Geoffrey C Williams
- Collaborative Science and Innovation, Billings Clinic, Billings, Montana.,Center for Community Health and Prevention, University of Rochester, Rochester, New York
| | - Angela Fagerlin
- Department of Population Health Sciences, University of Utah, Salt Lake City, Utah.,Salt Lake City VA Informatics Decision-Enhancement and Analytic Sciences (IDEAS), Center for Innovation, Salt Lake City, Utah
| | - Kate Kirley
- American Medical Association, Chicago, Illinois
| | | | - Namratha R Kandula
- Northwestern University Feinberg School of Medicine, Chicago, Illinois.,Institute of Public Health and Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois.,Division of General Internal Medicine and Geriatrics, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois.,Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Matthew J O'Brien
- Northwestern University Feinberg School of Medicine, Chicago, Illinois.,Institute of Public Health and Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois.,Division of General Internal Medicine and Geriatrics, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois.,Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
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27
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Dixon DL, Sisson EM, Pamulapati LG, Spence R, Salgado TM. An ounce of prevention is worth a pound of cure: considerations for pharmacists delivering the National Diabetes Prevention Program. Pharm Pract (Granada) 2021; 19:2426. [PMID: 34221206 PMCID: PMC8221748 DOI: 10.18549/pharmpract.2021.2.2426] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023] Open
Abstract
Prediabetes is highly prevalent in the United States affecting over 88 million
adults. In 2010, the Centers for Disease Control and Prevention (CDC)
established the National Diabetes Prevention Program (NDPP), an intensive
lifestyle program consisting of a 16-lesson curriculum focused on diet,
exercise, and behavior modification, with the ultimate goal to reduce
progression from prediabetes to diabetes. Despite tens of millions of adults
potentially qualifying to participate in the program, the uptake of the NDPP has
been exceedingly low. As a result, the CDC has focused its efforts on engaging
with local health departments and community partners, including community
pharmacies, across the United States to scale-up enrollment in the NDPP. In this
commentary we discuss factors affecting implementation of the NDPP in community
pharmacies and other settings where pharmacists practice, including training,
space, personnel, recruitment and enrollment, retention, and sustainability.
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Affiliation(s)
- Dave L Dixon
- PharmD. Center for Pharmacy Practice Innovation, School of Pharmacy, Virginia Commonwealth University, Richmond, VA (United States).
| | - Evan M Sisson
- PharmD, MSHA. Center for Pharmacy Practice Innovation, School of Pharmacy, Virginia Commonwealth University, Richmond, VA (United States).
| | - Lauren G Pamulapati
- PharmD. Center for Pharmacy Practice Innovation, School of Pharmacy, Virginia Commonwealth University, Richmond, VA (United States).
| | - Rowan Spence
- BS. School of Pharmacy, Virginia Commonwealth University, Richmond, VA (United States).
| | - Teresa M Salgado
- MPharm, PhD. Center for Pharmacy Practice Innovation, School of Pharmacy, Virginia Commonwealth University, Richmond, VA (United States).
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Panchal H, Turk N, Moin T, Mangione CM, Vu A, Amaya S, Norris KC, Duru OK. Educational Attainment, Decision-Making Preferences, and Interest in Evidence-Based Diabetes Prevention among Women with a History of Gestational Diabetes Mellitus. WOMEN'S HEALTH REPORTS 2021; 2:106-112. [PMID: 33937908 PMCID: PMC8082012 DOI: 10.1089/whr.2020.0116] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Accepted: 03/17/2021] [Indexed: 12/16/2022]
Abstract
Background: The Diabetes Prevention Program (DPP) showed that lifestyle change or metformin is equally efficacious in preventing diabetes in women who have had gestational diabetes mellitus (GDM). Few studies have investigated the relationship between education and willingness to engage in either intervention and between education and preferred decision-making style. Methods: Within a large health system, we surveyed insured women 18-64 years old with a history of GDM, identified through the electronic health record. We estimated preference for decision-making style and interest in DPP lifestyle change and/or metformin by educational level, using multivariate logistic regression models controlling for age, race, and ethnicity. Results: Our sample (n = 264) was 36% Latino, 29% Asian, 28% non-Latino white, and 5% African American, with a mean age of 37 years. In terms of education, 31% had a postgraduate degree, 41% were college graduates, and 29% did not graduate from college. In multivariate analyses, willingness to engage in either intervention did not vary by education. Women who did not graduate from college were more likely to leave medical decisions to their provider (p = 0.004) compared to women with a college or postgraduate degree. However, regardless of education, over 80% of women preferred to make medical decisions themselves or jointly with their provider. Conclusions: Most women prefer to play an active role in their own medical decisions and have an interest in both evidence-based diabetes prevention strategies. This suggests that shared decision-making is appropriate for many women with a history of GDM and different levels of educational attainment.
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Affiliation(s)
- Hemali Panchal
- Department of Internal Medicine, University of California, Davis, Sacramento, California, USA
| | - Norman Turk
- Division of General Internal Medicine and Health Services Research, University of California, Los Angeles, Los Angeles, California, USA
| | - Tannaz Moin
- Division of Endocrinology, Diabetes and Metabolism, University of California, Los Angeles, Los Angeles, California, USA.,HSR&D Center for the Study of Healthcare Innovation, Implementation and Policy, VA Greater Los Angeles Health System, Los Angeles, California, USA
| | - Carol M Mangione
- Division of General Internal Medicine and Health Services Research, University of California, Los Angeles, Los Angeles, California, USA
| | - Amanda Vu
- Division of General Internal Medicine and Health Services Research, University of California, Los Angeles, Los Angeles, California, USA
| | - Sarah Amaya
- Division of General Internal Medicine and Health Services Research, University of California, Los Angeles, Los Angeles, California, USA
| | - Keith C Norris
- Division of General Internal Medicine and Health Services Research, University of California, Los Angeles, Los Angeles, California, USA
| | - Obidiugwu Kenrik Duru
- Division of General Internal Medicine and Health Services Research, University of California, Los Angeles, Los Angeles, California, USA
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Moin T, Martin JM, Mangione CM, Grotts J, Turk N, Norris KC, Tseng CH, Jeffers KS, Castellon-Lopez Y, Frosch DL, Duru OK. Choice of Intensive Lifestyle Change and/or Metformin after Shared Decision Making for Diabetes Prevention: Results from the Prediabetes Informed Decisions and Education (PRIDE) Study. Med Decis Making 2021; 41:607-613. [PMID: 33813948 DOI: 10.1177/0272989x211001279] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
INTRODUCTION While the Diabetes Prevention Program Study demonstrated that intensive lifestyle change and metformin both reduce type 2 diabetes incidence, there are little data on patient preferences in real-world, clinical settings. METHODS The Prediabetes Informed Decisions and Education (PRIDE) study was a cluster-randomized trial of shared decision making (SDM) for diabetes prevention. In PRIDE, pharmacists engaged patients with prediabetes in SDM using a decision aid with information about both evidence-based options. We recorded which diabetes prevention option(s) participants chose after the SDM visit. We also evaluated logistic regression models examining predictors of choosing intensive lifestyle change ± metformin, compared to metformin or usual care, and predictors of choosing metformin ± intensive lifestyle change, compared to intensive lifestyle change or usual care. RESULTS Among PRIDE participants (n = 515), 55% chose intensive lifestyle change, 8.5% chose metformin, 15% chose both options, and 21.6% declined both options. Women (odds ratio [OR] = 1.60, P = 0.023) had higher odds than men of choosing intensive lifestyle change. Patients >60 years old (OR = 0.50, P = 0.028) had lower odds than patients <50 years old of choosing metformin. Participants with higher body mass index (BMI) had higher odds of choosing intensive lifestyle change (OR = 1.07 per BMI unit increase, P = 0.005) v. other options and choosing metformin (OR = 1.06 per BMI unit increase, P = 0.008) v. other options. CONCLUSIONS Patients with prediabetes are making choices for diabetes prevention that generally align with recommendations and expected benefits from the published literature. Our results are important for policy makers and clinicians, as well as program planners developing systemwide approaches for diabetes prevention.
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Affiliation(s)
- Tannaz Moin
- David Geffen School of Medicine, University of California, Los Angeles, CA, USA.,VA Greater Los Angeles Health System and HSR&D Center for the Study of Healthcare Innovation, Implementation & Policy, Los Angeles, CA, USA
| | | | - Carol M Mangione
- David Geffen School of Medicine, University of California, Los Angeles, CA, USA.,UCLA Fielding School of Public Health, Los Angeles, CA
| | - Jonathan Grotts
- David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Norman Turk
- David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Keith C Norris
- David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Chi-Hong Tseng
- David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Kia Skrine Jeffers
- David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | | | - Dominick L Frosch
- Palo Alto Medical Foundation for Health Care, Research and Education, Palo Alto, CA, USA
| | - O Kenrik Duru
- David Geffen School of Medicine, University of California, Los Angeles, CA, USA
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O'Brien MJ, Cameron KA, Vargas MC, Mohr L, Williams GC, Fagerlin A, Kandula NR. Evaluation of a Prediabetes Decision Aid on Patient-Reported Outcomes in Primary Care: a Pilot Study. J Gen Intern Med 2021; 36:824-826. [PMID: 32542497 PMCID: PMC7947059 DOI: 10.1007/s11606-020-05936-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2020] [Accepted: 05/19/2020] [Indexed: 01/02/2023]
Affiliation(s)
- Matthew J O'Brien
- Division of General Internal Medicine and Geriatrics, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA. .,Institute of Public Health and Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA. .,Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
| | - Kenzie A Cameron
- Division of General Internal Medicine and Geriatrics, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.,Institute of Public Health and Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Maria C Vargas
- Division of General Internal Medicine and Geriatrics, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.,Institute of Public Health and Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | | | - Geoffrey C Williams
- Center for Community Health and Prevention, University of Rochester Medical Center, Rochester, NY, USA
| | - Angela Fagerlin
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA.,Salt Lake City VA Informatics Decision-Enhancement and Analytic Sciences (IDEAS) Center for Innovation, Salt Lake City, UT, USA
| | - Namratha R Kandula
- Division of General Internal Medicine and Geriatrics, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.,Institute of Public Health and Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.,Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
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Castellon-Lopez Y, Skrine Jeffers K, Duru OK, Moreno G, Moin T, Grotts J, Mangione CM, Norris KC, Hays RD. Psychometric Properties of the Altarum Consumer Engagement (ACE) Measure of Activation in Patients with Prediabetes. J Gen Intern Med 2020; 35:3159-3165. [PMID: 32162203 PMCID: PMC7661602 DOI: 10.1007/s11606-020-05727-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2019] [Accepted: 02/10/2020] [Indexed: 11/26/2022]
Abstract
BACKGROUND Patient activation is associated with better outcomes in chronic conditions. OBJECTIVE We evaluated the psychometric properties of the 12-item Altarum Consumer Engagement™ Measure (ACE-12) in patients with prediabetes. PARTICIPANTS ACE-12 was administered to patients in the Prediabetes Informed Decisions and Education Study. MAIN MEASURES We conducted an exploratory factor analysis followed by confirmatory factor analytic models. We evaluated item response categories using item characteristic curves. Construct validity was assessed by examining correlations of the ACE-12 scales with education, depressive symptoms, self-rated health, hemoglobin A1c, body mass index, and weight loss. KEY RESULTS Participants (n = 515) had a median age of 58; 56% were female; 17% Hispanic; 54% were non-White. The scree plot and Tucker and Lewis reliability coefficient (0.95) suggested three factors similar to the original scales. One item loaded on the navigation rather than the informed choice scale. Ordinal alpha coefficients for the original scales were commitment (0.75); informed choice (0.71); and navigation (0.54). ICCs indicated that one or more of the response categories for 5 of the 12 items were never most likely to be selected. Patients with lower education were less activated on the commitment (r = - 0.124, p = 0.004), choice (r = - 0.085, p = 0.009), and overall score (r = - 0.042, p = 0.011). Patients with depressive symptoms had lower commitment (r = - 0.313, p ≤ 0.001) and overall scores (r = - 0.172, p = 0.012). Patients with poorer health scored lower on the Commitment (r = - 0.308, p ≤ 0.001), Navigation (r = - 0.137, p ≤ 0.001), and overall score (r = - 0.279, p ≤ 0.001). CONCLUSION The analyses provide some support for the psychometric properties of the ACE-12 in prediabetic patients. Future research evaluating this tool among patients with other chronic conditions are needed to determine whether Q1 (I spend a lot of time learning about health) should remain in the informed choice or be included in the navigation scale. Additional items may be needed to yield acceptable reliability for the navigation scale.
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Affiliation(s)
- Yelba Castellon-Lopez
- Department of Family Medicine, University of California Los Angeles, 10880 Wilshire Blvd, Suite 1800, Los Angeles, CA, 90095, USA.
| | | | - O Kenrik Duru
- Department of Medicine, Division of General Internal Medicine-Health Services Research, University of California, Los Angeles, CA, USA
| | - Gerardo Moreno
- Department of Family Medicine, University of California Los Angeles, 10880 Wilshire Blvd, Suite 1800, Los Angeles, CA, 90095, USA
| | - Tannaz Moin
- Department of Medicine, Division of General Internal Medicine-Health Services Research, University of California, Los Angeles, CA, USA
- VA Greater Los Angeles Health System and HSR&D Center for the Study of Healthcare Innovation, Implementation & Policy, Los Angeles, CA, USA
| | - Jonathan Grotts
- Department of Medicine, Division of General Internal Medicine-Health Services Research, University of California, Los Angeles, CA, USA
| | - Carol M Mangione
- Department of Medicine, Division of General Internal Medicine-Health Services Research, University of California, Los Angeles, CA, USA
- Jonathan and Karin Fielding School of Public Health, University of California, Los Angeles, CA, USA
| | - Keith C Norris
- Department of Medicine, Division of General Internal Medicine-Health Services Research, University of California, Los Angeles, CA, USA
| | - Ron D Hays
- Department of Medicine, Division of General Internal Medicine-Health Services Research, University of California, Los Angeles, CA, USA
- Jonathan and Karin Fielding School of Public Health, University of California, Los Angeles, CA, USA
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Shiyanbola OO, Huang YM. Reducing the rates of diabetes across the United States. J Am Pharm Assoc (2003) 2020. [DOI: 10.1016/j.japh.2020.09.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Zisman-Ilani Y, Fasing K, Weiner M, Rubin DJ. Exercise capacity is associated with hospital readmission among patients with diabetes. BMJ Open Diabetes Res Care 2020; 8:e001771. [PMID: 33020136 PMCID: PMC7537144 DOI: 10.1136/bmjdrc-2020-001771] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2020] [Revised: 08/20/2020] [Accepted: 09/10/2020] [Indexed: 11/22/2022] Open
Abstract
INTRODUCTION Patients with diabetes are at greater risk of hospital readmission than patients without diabetes. There is a need to identify more modifiable risk factors for readmission as potential targets for intervention. Cardiorespiratory fitness is a predictor of morbidity and mortality. The purpose of this study was to examine whether there is an association between exercise capacity based on the maximal workload achieved during treadmill stress testing and readmission among patients with diabetes. RESEARCH DESIGN AND METHODS This retrospective cohort study included adult patients with diabetes discharged from an academic medical center between July 1, 2012 and December 31, 2018 who had a stress test documented before the index discharge. Univariate analysis and multinomial multivariable logistic regressions were used to evaluate associations with readmission within 30 days, 6 months, and 1 year of discharge. Exercise capacity was measured as metabolic equivalents (METs). RESULTS A total of 580 patients with 1598 hospitalizations were analyzed. Mean METs of readmitted patients were significantly lower than for non-readmitted patients (5.7 (2.6) vs 6.7 (2.6), p<0.001). After adjustment for confounders, a low METs level (<5) was associated with higher odds of readmission within 30 days (OR 5.46 (2.22-13.45), p<0.001), 6 months (OR 2.78 (1.36-5.65), p=0.005), and 1 year (OR 2.16 (1.12-4.16), p=0.022) compared with medium (5-7) and high (>7) METs level. During the 6.5-year study period, patients with low METs had a mean of 3.2±3.6 hospitalizations, while those with high METs had 2.5±2.4 hospitalizations (p=0.007). CONCLUSIONS Lower exercise capacity is associated with a higher risk of readmission within 30 days, 6 months, and 1 year, as well as a greater incidence of hospitalization, in patients with diabetes. Future studies are needed to explore whether exercise reduces readmission risk in this population.
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Affiliation(s)
- Yaara Zisman-Ilani
- Social and Behavioral Sciences, Temple University College of Public Health, Philadelphia, Pennsylvania, USA
| | - Kevin Fasing
- University of Colorado Denver - Anschutz Medical Campus, Aurora, Colorado, USA
| | - Mark Weiner
- Department of Population Health Sciences, Weill Cornell Medicine, New York City, New York, USA
| | - Daniel J Rubin
- Section of Endocrinology, Diabetes, and Metabolism, Temple University School of Medicine, Philadelphia, Pennsylvania, USA
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Brodney S, Valentine KD, Fowler FJ, Barry MJ. Validation of the 3-item What Engagement Looks Like (WELL) scale in patients with diabetes. J Patient Rep Outcomes 2020; 4:57. [PMID: 32666381 PMCID: PMC7360003 DOI: 10.1186/s41687-020-00225-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Accepted: 06/30/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Patients' behaviors play a key role in chronic disease management, but how effective they are may depend on how engaged they feel. The objective was to develop a short measure of how much patients felt engaged in self-managing a chronic condition. Online test of a three-question series followed by a survey of physicians and their eligible diabetic patients. Physicians answered: 1) how well the physician thought the patient was managing his/her diabetes, and 2) how much effort the physician thought the patient was putting in. Each patient was mailed a survey that included three questions on self-management. Six hundred six patients from a national online consumer panel with diabetes or obesity, and 35 physicians from 3 primary care practices and a sample of 243 of their diabetic patients. Respondents were asked three questions about how much they thought their behavior could affect their health condition, how confident they were that they could do what was needed, and how involved they were in decisions about managing their condition. These items were summed to create a WELL score. Descriptive statistics and correlation coefficients were used to describe item relationships. Generalized Estimating Equations were used to predict how well the physician thought the patient was managing their diabetes and patient effort. RESULTS Correlations among the three patient-reported items ranged from - 0.01 to 0.45. The WELL score was correlated with an existing measure of patient activation commitment (r = .43, p < 0.001) and found to be a significant predictor of physicians' ratings of how much effort patients devoted to condition management (b = 0.02, p = 0.001, OR = 1.02) after adjusting for confounders. The WELL score didn't predict physicians' ratings of how effective patients were (b = 0.003, p = .526, OR = 1.004) after their A1c score had been taken into account. CONCLUSION Patients' WELL scores predicted physicians' ratings of patient effort in diabetes self-management.
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Affiliation(s)
- Suzanne Brodney
- Informed Medical Decisions Program, Massachusetts General Hospital, Health Decisions Science Center, 100 Cambridge Street, 16th Floor, Boston, MA, 02114, USA.
| | - K D Valentine
- Health Decisions Science Center, Massachusetts General Hospital, 100 Cambridge Street, 16th Floor, Boston, MA, 02114, USA
| | - Floyd J Fowler
- Center for Survey Research, University of Massachusetts, Boston, 100 William T Morrissey Blvd, Boston, MA, 02025, USA
| | - Michael J Barry
- Informed Medical Decisions Program, Massachusetts General Hospital, Health Decisions Science Center, 100 Cambridge Street, 16th Floor, Boston, MA, 02114, USA
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Abstract
PURPOSE OF REVIEW Type 2 diabetes is common, burdensome, and preventable. Landmark trials such as the Diabetes Prevention Program (DPP) demonstrated that resource-intensive lifestyle support interventions resulting in modest weight loss via healthy diet changes and physical activity can lower the rate of diabetes development by 58%. We performed a review of efforts to translate and implement DPP-like programs throughout the USA to identify challenges and opportunities for improvement. RECENT FINDINGS For more than a decade, multiple stakeholders have worked to translate evidence-based principles of diabetes prevention to reach 84 million Americans with prediabetes. DPP-like programs have been delivered by over 1500 organizations, reaching almost 300,000 people, but this number represents less than 1% of the target population. Research has uncovered large gaps in efforts to diagnose, raise awareness, and provide access to DPP-like programs for adults with prediabetes, requiring further stakeholder engagement and coordination to resolve. Efforts to address prevailing gaps in diabetes prevention must address distinct and sometimes conflicting priorities and concerns of stakeholders. Our review recommends several areas of further research and action to improve type 2 diabetes prevention on a population scale.
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Affiliation(s)
- Ronald T. Ackermann
- Department of Medicine, Division of General Internal Medicine and Geriatrics, Northwestern University Feinberg School of Medicine, 750 N. Lake Shore Drive, 10th Floor, Chicago, IL 60611, USA
- Institute for Public Health and Medicine, Northwestern University Feinberg School of Medicine, 750 N. Lake Shore Drive, 6th Floor, Chicago, IL 60611, USA
- Center for Diabetes and Metabolism, Northwestern University Feinberg School of Medicine, 300 E Superior St #15-703, Chicago, IL 60611, USA
| | - Matthew J. O’Brien
- Department of Medicine, Division of General Internal Medicine and Geriatrics, Northwestern University Feinberg School of Medicine, 750 N. Lake Shore Drive, 10th Floor, Chicago, IL 60611, USA
- Institute for Public Health and Medicine, Northwestern University Feinberg School of Medicine, 750 N. Lake Shore Drive, 6th Floor, Chicago, IL 60611, USA
- Center for Diabetes and Metabolism, Northwestern University Feinberg School of Medicine, 300 E Superior St #15-703, Chicago, IL 60611, USA
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Walker RJ, Egede LE. Pragmatic Trials as an Additional Tool in the Evidence Building Toolbox. J Gen Intern Med 2019; 34:2295-2296. [PMID: 31410814 PMCID: PMC6848567 DOI: 10.1007/s11606-019-05277-z] [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] [Indexed: 10/26/2022]
Affiliation(s)
- Rebekah J Walker
- Division of General Internal Medicine, Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, USA.
- Center for Advancing Population Science, Medical College of Wisconsin, Milwaukee, WI, USA.
| | - Leonard E Egede
- Division of General Internal Medicine, Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, USA
- Center for Advancing Population Science, Medical College of Wisconsin, Milwaukee, WI, USA
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