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Jacobsen E, Boyers D, Manson P, Avenell A. A Systematic Review of the Evidence for Non-surgical Weight Management for Adults with Severe Obesity: What is Cost Effective and What are the Implications for the Design of Health Services? Curr Obes Rep 2022; 11:356-385. [PMID: 36409442 PMCID: PMC9729129 DOI: 10.1007/s13679-022-00483-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/05/2022] [Indexed: 11/22/2022]
Abstract
PURPOSE OF REVIEW Severe obesity (BMI ≥ 35 kg/m2) increases premature mortality and reduces quality-of-life. Obesity-related disease (ORD) places substantial burden on health systems. This review summarises the cost-effectiveness evidence for non-surgical weight management programmes (WMPs) for adults with severe obesity. RECENT FINDINGS Whilst evidence shows bariatric surgery is often cost-effective, there is no clear consensus on the cost-effectiveness of non-surgical WMPs. Thirty-two studies were included. Most were short-term evaluations that did not capture the long-term costs and consequences of ORD. Decision models often included only a subset of relevant ORDs, and made varying assumptions about the rate of weight regain over time. A lack of sensitivity analyses limited interpretation of results. Heterogeneity in the definition of WMPs and usual care prevents formal evidence synthesis. We were unable to establish the most cost-effective WMPs. Addressing these limitations may help future studies provide more robust cost-effectiveness evidence for decision makers.
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Affiliation(s)
- Elisabet Jacobsen
- Health Economics Research Unit, University of Aberdeen, Polwarth Building, Foresterhill, Aberdeen, AB25 2ZD, UK.
| | - Dwayne Boyers
- Health Economics Research Unit, University of Aberdeen, Polwarth Building, Foresterhill, Aberdeen, AB25 2ZD, UK.
| | - Paul Manson
- Health Services Research Unit, University of Aberdeen, Aberdeen, UK
| | - Alison Avenell
- Health Services Research Unit, University of Aberdeen, Aberdeen, UK
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2
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Economic benefit of dietetic-nutritional treatment in the multidisciplinary primary care team. NUTR HOSP 2020; 37:863-874. [PMID: 32686448 DOI: 10.20960/nh.03025] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022] Open
Abstract
Introduction Chronic diseases and aging are placing an ever increasing burden on healthcare services worldwide. Nutritional counselling is a priority for primary care because it has shown substantial cost savings. This review aims to evaluate the evidence of the cost-effectiveness of nutritional care in primary care provided by health professionals. A literature search was conducted using PubMed/MEDLINE between January 2000 and February 2019. The review included thirty-six randomized controlled trials (RCTs) and systematic reviews conducted in healthy people and people with obesity, type-2 diabetes mellitus, cardiovascular risk or malnutrition. All the RCTs and reviews showed that nutritional intervention led by dietitians-nutritionists in people with obesity or cardiovascular risk factors was cost-effective. Dietary interventions led by nurses were cost-effective in people who needed to lose weight but not in people at high cardiovascular risk. Some dietary changes led by a primary care team in people with diabetes were cost-effective. Incorporating dietitians-nutritionists into primary care settings, or increasing their presence, would give people access to the healthcare professionals who are best qualified to carry out nutritional treatment, and may be the most cost-effective intervention in terms of health expenditure. Notwithstanding the limitations described, this review suggests that incorporating dietitians-nutritionists into primary health care as part of the multidisciplinary team could be regarded as an investment in health. Even so, more research is required to confirm the conclusions.
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Abstract
Obesity is a chronic, systemic disease defined as a pathologically increased fat mass, which is associated with an increased health risk. A BMI >30 kg/m2 is usually considered as a sign of obesity. Obesity requires a multidisciplinary and multimodal treatment, which varies depending on the phase of disease and the purpose (e.g. weight loss, weight maintenance). The treatment should be based on evidence. The goal of obesity therapy is to reduce the body weight by reducing fat mass in the long term in combination with a change in behavior, which aims to improve obesity-associated risk factors, reduce obesity-related illnesses, reduce the risk of premature mortality, incapacitation and early retirement, and improve quality of life. Non-surgical lifestyle therapy comprises nutrition, exercise, behavior change ("basic therapy") which becomes more effective when combined with initial formula diet. A formula diet as initial therapy is indicated if a relative weight loss more than 10% is intended. A successful and sustained obesity therapy needs a clear structure, a well-trained team of professionals, and the coverage of the costs. Drugs can support obesity therapy, while other drugs can promote weight gain. The multimodal approach is the most effective non-surgical therapy resulting in a relative weight loss of 15-25%. The primary obesity therapy should be with a non-surgical approach, but bariatric surgery may be needed if the problem cannot otherwise be solved. A clear and realistic interface to bariatric surgery needs to be defined. Weight maintenance strategies including and beyond dietetic concepts are usually needed throughout life for long-term stabilization of body weight.
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Affiliation(s)
- Stephan C Bischoff
- University of Hohenheim, Institute of Nutritional Medicine, Stuttgart, Germany.
| | - Anna Schweinlin
- University of Hohenheim, Institute of Nutritional Medicine, Stuttgart, Germany
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Akour A, Kasabri V, Bulatova N, Al Muhaissen S, Al Tarawneh R, Al-Anati B, Alhourani N. Patterns and perceived efficacy of herbal medicine for weight loss and maintenance: A cross-sectional survey from Jordan. Eur J Integr Med 2020. [DOI: 10.1016/j.eujim.2020.101086] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Daumit GL, Janssen EM, Jerome GJ, Dalcin AT, Charleston J, Clark JM, Coughlin JW, Yeh HC, Miller ER, Durkin N, Louis TA, Frick KD, Wang NY, Appel LJ. Cost of behavioral weight loss programs implemented in clinical practice: The POWER trial at Johns Hopkins. Transl Behav Med 2020; 10:103-113. [PMID: 30855082 PMCID: PMC7295697 DOI: 10.1093/tbm/iby120] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Obesity presents an important public health problem that affects more than a third of the U.S. adult population and that is associated with increased morbidity, mortality, and costs. Previously, we documented that two primary care-based weight loss interventions were clinically effective. To encourage the implementation of and reimbursement for these interventions, we evaluated their relative cost-effectiveness. We performed a cost analysis of the Practice-based Opportunities for Weight Reduction (POWER) trial, a three-arm trial that enrolled 415 patients with obesity from six primary care practices. Trial participants were randomized to a control arm, an in-person support intervention, or a remote support intervention; in the two intervention arms, behavioral interventions were delivered over 24 months, in two phases. Weight loss was measured at 6, 12, and 24 months. Using timesheets and empirical data, we evaluated the cost of the in-person and remote support interventions from the perspective of a health care system delivering the interventions. A univariate sensitivity analysis was conducted to evaluate uncertainty around model assumptions. All comparisons were tested using independent t-tests. Cost of the in-person intervention was higher at 6 months ($113 per participant per month and $117 per kg lost) than the remote support intervention ($101 per participant per month and $99 per kg lost; p < .001). Costs were also higher for the in-person support intervention at 24 months ($73 per participant per month and $342 per kg lost) than for the remote support intervention ($53 per participant per month and $275 per kg lost; p < .001). In the sensitivity analyses, cost ranged from $274/kg lost to $456/kg lost for the in-person support intervention and from $218/kg to $367/kg lost for the remote support intervention. A primary care weight loss intervention administered remotely was relatively more cost-effective than an in-person intervention. Expanding the scope of reimbursable programs to include other cost-effective interventions could help ensure that a broader range of patients receive the type of support needed.
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Affiliation(s)
- Gail L Daumit
- Division of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Ellen M Janssen
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Gerald J Jerome
- Division of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Kinesiology, Towson University, Baltimore, MD, USA
| | - Arlene T Dalcin
- Division of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD, USA
| | - Jeanne Charleston
- Division of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Jeanne M Clark
- Division of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Janelle W Coughlin
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD, USA
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Hsin-Chieh Yeh
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD, USA
| | - Edgar R Miller
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD, USA
| | - Nowella Durkin
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD, USA
| | - Thomas A Louis
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Kevin D Frick
- Johns Hopkins Carey Business School, Baltimore, MD, USA
| | - Nae-Yuh Wang
- Division of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Lawrence J Appel
- Division of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
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Wang H, Kenkel D, Graham ML, Paul LC, Folta SC, Nelson ME, Strogatz D, Seguin RA. Cost-effectiveness of a community-based cardiovascular disease prevention intervention in medically underserved rural areas. BMC Health Serv Res 2019; 19:315. [PMID: 31096977 PMCID: PMC6524317 DOI: 10.1186/s12913-019-4117-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2018] [Accepted: 04/22/2019] [Indexed: 12/25/2022] Open
Abstract
Background Rural women experience health disparities in terms of cardiovascular disease (CVD) risk compared to urban women. Cost-effective CVD-prevention programs are needed for this population. The objective of this study was to conduct cost analysis and cost-effectiveness analyses (CEAs) of the Strong Hearts, Healthy Communities (SHHC) program compared to a control program in terms of change in CVD risk factors, including body weight and quality-adjusted life years (QALYs). Methods Sixteen medically underserved rural towns in Montana and New York were randomly assigned to SHHC, a six-month twice-weekly experiential learning lifestyle program focused predominantly on diet and physical activity behaviors (n = 101), or a monthly healthy lifestyle education-only control program (n = 93). Females who were sedentary, overweight or obese, and aged 40 years or older were enrolled. The cost analysis calculated the total and per participant resource costs as well as participants’ costs for the SHHC and control programs. In the intermediate health outcomes CEAs, the incremental costs were compared to the incremental changes in the outcomes. The QALY CEA compares the incremental costs and effectiveness of a national SHHC intervention for a hypothetical cohort of 2.2 million women compared to the status quo alternative. Results The resource cost of SHHC was $775 per participant. The incremental cost-effectiveness ratios from the payer’s perspective was $360 per kg of weight loss. Over a 10-year time horizon, to avert per QALY lost SHHC is estimated to cost $238,271 from the societal perspective, but only $62,646 from the healthcare sector perspective. Probabilistic sensitivity analyses show considerable uncertainty in the estimated incremental cost-effectiveness ratios. Conclusions A national SHHC intervention is likely to be cost-effective at willingness-to-pay thresholds based on guidelines for federal regulatory impact analysis, but may not be at commonly used lower threshold values. However, it is possible that program costs in rural areas are higher than previously studied programs in more urban areas, due to a lack of staff and physical activity resources as well as availability for partnerships with existing organizations. Trial registration ClinicalTrials.gov identifier NCT02499731, registered on July 16, 2015.
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Affiliation(s)
- Hua Wang
- Cornell University, 292 Martha Van Rensselaer Hall, Ithaca, NY, 14853, USA.
| | - Donald Kenkel
- Cornell University, 2310 Martha Van Rensselaer Hall, Ithaca, NY, 14853, USA
| | | | - Lynn C Paul
- Montana State University, 322 Reid Hall, Bozeman, MT, 59717, USA
| | - Sara C Folta
- Tufts University, 150 Harrison Ave, Boston, MA, 02111, USA
| | | | - David Strogatz
- Bassett Research Institute, One Atwell Rd, Cooperstown, NY, 13326, USA
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Phelan S, Wing RR, Brannen A, McHugh A, Hagobian T, Schaffner A, Jelalian E, Hart CN, Scholl TO, Muñoz-Christian K, Yin E, Phipps MG, Keadle S, Abrams B. Does Partial Meal Replacement During Pregnancy Reduce 12-Month Postpartum Weight Retention? Obesity (Silver Spring) 2019; 27:226-236. [PMID: 30421864 PMCID: PMC8142600 DOI: 10.1002/oby.22361] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2018] [Accepted: 10/12/2018] [Indexed: 10/27/2022]
Abstract
OBJECTIVE This randomized trial tested whether a behavioral intervention with meal replacements in pregnancy could increase the proportion of women who returned to prepregnancy weight and reduce postpartum weight retention by 12 months after delivery. METHODS Women (N = 264; 13.7 weeks' gestation) with overweight or obesity were randomly assigned to usual care or intervention. The intervention reduced excess gestational weight gain and was discontinued at delivery. At follow-up, 83.7% completed the 12-month assessment. RESULTS Compared with usual care, prenatal intervention had no significant effect on odds of achieving prepregnancy weight (38/128 [29.7%] vs. 41/129 [31.8%]; P = 0.98) or in reducing the magnitude of weight retained (3.3 vs. 3.1 kg; P = 0.82) at 12 months. After delivery, significant (P < 0.0001) declines in meal replacements, practice of weight control behaviors, and dietary restraint were observed in the intervention group. Independent of group, lower gestational weight gain was the strongest predictor of achieving prepregnancy weight at 12 months (P = 0.0008). CONCLUSIONS A prenatal behavioral intervention with meal replacements that reduced pregnancy weight gain had no significant effect on 12-month postpartum weight retention.
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Affiliation(s)
- Suzanne Phelan
- Department of Kinesiology & Public Health, California Polytechnic State University, San Luis Obispo, California, USA
| | - Rena R Wing
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School, Brown University, Providence, Rhode Island, USA
| | - Anna Brannen
- Department of Kinesiology & Public Health, California Polytechnic State University, San Luis Obispo, California, USA
| | - Angelica McHugh
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School, Brown University, Providence, Rhode Island, USA
| | - Todd Hagobian
- Department of Kinesiology & Public Health, California Polytechnic State University, San Luis Obispo, California, USA
| | - Andrew Schaffner
- Statistics Department, California Polytechnic State University, San Luis Obispo, California, USA
| | - Elissa Jelalian
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School, Brown University, Providence, Rhode Island, USA
| | - Chantelle N Hart
- Department of Social and Behavioral Sciences, Center for Obesity Research and Education, Temple University, Philadelphia, Pennsylvania, USA
| | - Theresa O Scholl
- Department of Obstetrics and Gynecology, Rowan University, Glassboro, New Jersey, USA
| | - Karen Muñoz-Christian
- Modern Languages Department, California Polytechnic State University, San Luis Obispo, California, USA
| | - Elaine Yin
- Pacific Central Coast Health Centers, Santa Maria Women's Health, Santa Maria, California, USA
| | - Maureen G Phipps
- Department of Obstetrics and Gynecology, Warren Alpert Medical School, Brown University, Providence, Rhode Island, USA
- Department of Obstetrics and Gynecology, Women & Infants Hospital, Providence, Rhode Island, USA
| | - Sarah Keadle
- Department of Kinesiology & Public Health, California Polytechnic State University, San Luis Obispo, California, USA
| | - Barbara Abrams
- Division of Epidemiology, School of Public Health, University of California at Berkeley, Berkeley, California, USA
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Avenell A, Robertson C, Skea Z, Jacobsen E, Boyers D, Cooper D, Aceves-Martins M, Retat L, Fraser C, Aveyard P, Stewart F, MacLennan G, Webber L, Corbould E, Xu B, Jaccard A, Boyle B, Duncan E, Shimonovich M, Bruin MD. Bariatric surgery, lifestyle interventions and orlistat for severe obesity: the REBALANCE mixed-methods systematic review and economic evaluation. Health Technol Assess 2018; 22:1-246. [PMID: 30511918 PMCID: PMC6296173 DOI: 10.3310/hta22680] [Citation(s) in RCA: 56] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Adults with severe obesity [body mass index (BMI) of ≥ 35 kg/m2] have an increased risk of comorbidities and psychological, social and economic consequences. OBJECTIVES Systematically review bariatric surgery, weight-management programmes (WMPs) and orlistat pharmacotherapy for adults with severe obesity, and evaluate the feasibility, acceptability, clinical effectiveness and cost-effectiveness of treatment. DATA SOURCES Electronic databases including MEDLINE, EMBASE, PsycINFO, the Cochrane Central Register of Controlled Trials and the NHS Economic Evaluation Database were searched (last searched in May 2017). REVIEW METHODS Four systematic reviews evaluated clinical effectiveness, cost-effectiveness and qualitative evidence for adults with a BMI of ≥ 35 kg/m2. Data from meta-analyses populated a microsimulation model predicting costs, outcomes and cost-effectiveness of Roux-en-Y gastric bypass (RYGB) surgery and the most effective lifestyle WMPs over a 30-year time horizon from a NHS perspective, compared with current UK population obesity trends. Interventions were cost-effective if the additional cost of achieving a quality-adjusted life-year is < £20,000-30,000. RESULTS A total of 131 randomised controlled trials (RCTs), 26 UK studies, 33 qualitative studies and 46 cost-effectiveness studies were included. From RCTs, RYGB produced the greatest long-term weight change [-20.23 kg, 95% confidence interval (CI) -23.75 to -16.71 kg, at 60 months]. WMPs with very low-calorie diets (VLCDs) produced the greatest weight loss at 12 months compared with no WMPs. Adding a VLCD to a WMP gave an additional mean weight change of -4.41 kg (95% CI -5.93 to -2.88 kg) at 12 months. The intensive Look AHEAD WMP produced mean long-term weight loss of 6% in people with type 2 diabetes mellitus (at a median of 9.6 years). The microsimulation model found that WMPs were generally cost-effective compared with population obesity trends. Long-term WMP weight regain was very uncertain, apart from Look AHEAD. The addition of a VLCD to a WMP was not cost-effective compared with a WMP alone. RYGB was cost-effective compared with no surgery and WMPs, but the model did not replicate long-term cost savings found in previous studies. Qualitative data suggested that participants could be attracted to take part in WMPs through endorsement by their health-care provider or through perceiving innovative activities, with WMPs being delivered to groups. Features improving long-term weight loss included having group support, additional behavioural support, a physical activity programme to attend, a prescribed calorie diet or a calorie deficit. LIMITATIONS Reviewed studies often lacked generalisability to UK settings in terms of participants and resources for implementation, and usually lacked long-term follow-up (particularly for complications for surgery), leading to unrealistic weight regain assumptions. The views of potential and actual users of services were rarely reported to contribute to service design. This study may have failed to identify unpublished UK evaluations. Dual, blinded numerical data extraction was not undertaken. CONCLUSIONS Roux-en-Y gastric bypass was costly to deliver, but it was the most cost-effective intervention. Adding a VLCD to a WMP was not cost-effective compared with a WMP alone. Most WMPs were cost-effective compared with current population obesity trends. FUTURE WORK Improved reporting of WMPs is needed to allow replication, translation and further research. Qualitative research is needed with adults who are potential users of, or who fail to engage with or drop out from, WMPs. RCTs and economic evaluations in UK settings (e.g. Tier 3, commercial programmes or primary care) should evaluate VLCDs with long-term follow-up (≥ 5 years). Decision models should incorporate relevant costs, disease states and evidence-based weight regain assumptions. STUDY REGISTRATION This study is registered as PROSPERO CRD42016040190. FUNDING The National Institute for Health Research Health Technology Assessment programme. The Health Services Research Unit and Health Economics Research Unit are core funded by the Chief Scientist Office of the Scottish Government Health and Social Care Directorate.
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Affiliation(s)
- Alison Avenell
- Health Services Research Unit, University of Aberdeen, Aberdeen, UK
| | - Clare Robertson
- Health Services Research Unit, University of Aberdeen, Aberdeen, UK
| | - Zoë Skea
- Health Services Research Unit, University of Aberdeen, Aberdeen, UK
| | - Elisabet Jacobsen
- Health Economics Research Unit, University of Aberdeen, Aberdeen, UK
| | - Dwayne Boyers
- Health Economics Research Unit, University of Aberdeen, Aberdeen, UK
| | - David Cooper
- Health Services Research Unit, University of Aberdeen, Aberdeen, UK
| | | | | | - Cynthia Fraser
- Health Services Research Unit, University of Aberdeen, Aberdeen, UK
| | - Paul Aveyard
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Fiona Stewart
- Health Services Research Unit, University of Aberdeen, Aberdeen, UK
| | - Graeme MacLennan
- Health Services Research Unit, University of Aberdeen, Aberdeen, UK
| | | | | | | | | | - Bonnie Boyle
- Health Services Research Unit, University of Aberdeen, Aberdeen, UK
| | - Eilidh Duncan
- Health Services Research Unit, University of Aberdeen, Aberdeen, UK
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Telemedical Coaching Improves Long-Term Weight Loss in Overweight Persons: A Randomized Controlled Trial. Int J Telemed Appl 2018; 2018:7530602. [PMID: 30271433 PMCID: PMC6151211 DOI: 10.1155/2018/7530602] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2018] [Revised: 07/17/2018] [Accepted: 08/14/2018] [Indexed: 12/04/2022] Open
Abstract
Background Lifestyle interventions have shown to be effective when continuous personal support was provided. However, there is lack of knowledge whether a telemedical-approach with personal coaching contributes to long-term weight losses in overweight employees. We, therefore, tested the hypothesis that telemedical-based lifestyle interventions accompanied with telemedical coaching lead to larger weight losses in overweight persons in an occupational health care setting. Methods Overweight employees (n=180) with a body mass index (BMI) of >27 kg/m2 were randomized into either a telemedical (TM) group (n=61), a telemedical coaching (TMC) group (n=58), or a control group (n=61). Both intervention groups were equipped with scales and pedometers automatically transferring the data into a personalized online portal, which could be monitored from participants and coaches. Participants of the TMC group received additionally one motivational care call per week by mental coaches to discuss the current data (current weight and steps) and achieving goals such as a healthy lifestyle or weight reduction. The control group remained in routine care. Clinical and anthropometric data were determined after the 12-week intervention. Additionally, weight change was followed up after 12 months. Results Participants of TMC (-3.1 ± 4.8 kg, p<0.0001) and TM group (-1.9 ± 4.0 kg; p=0.0012) significantly reduced weight and sustained it during the 1-year follow-up, while the control group showed no change. Compared to the control group only weight loss in the TMC group was significantly different (p<0.001) after 12 months. TMC and TM group also reduced BMI, waist circumference, and LDL cholesterol. Moreover, TMC group improved additionally systolic and diastolic blood pressure, total cholesterol, HDL cholesterol, and HbA1c. Conclusions Telemedical devices in combination with telemedical coaching lead to significant long-term weight reductions in overweight persons in an occupational health care setting. This study is registered with NCT01868763, ClinicalTrials.gov.
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Patel N, Beeken RJ, Leurent B, Omar RZ, Nazareth I, Morris S. Cost-effectiveness of habit-based advice for weight control versus usual care in general practice in the Ten Top Tips (10TT) trial: economic evaluation based on a randomised controlled trial. BMJ Open 2018; 8:e017511. [PMID: 30104307 PMCID: PMC6091904 DOI: 10.1136/bmjopen-2017-017511] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/31/2023] Open
Abstract
OBJECTIVE Ten Top Tips (10TT) is a primary care-led behavioural intervention which aims to help adults reduce and manage their weight by following 10 weight loss tips. The intervention promotes habit formation to encourage long-term behavioural changes. The aim of this study was to estimate the cost-effectiveness of 10TT in general practice from the perspective of the UK National Health Service. DESIGN An economic evaluation was conducted alongside an individually randomised controlled trial. SETTING 14 general practitioner practices in England. PARTICIPANTS All patients were aged ≥18 years, with body mass index ≥30 kg/m2. A total of 537 patients were recruited; 270 received the usual care offered by their practices and 267 received the 10TT intervention. OUTCOMES MEASURES Health service use and quality-adjusted life years (QALYs) were measured over 2 years. Analysis was conducted in terms of incremental net monetary benefits (NMBs), using non-parametric bootstrapping and multiple imputation. RESULTS Over a 2-year time horizon, the mean costs and QALYs per patient in the 10TT group were £1889 (95% CI £1522 to £2566) and 1.51 (95% CI 1.44 to 1.58). The mean costs and QALYs for usual care were £1925 (95% CI £1599 to £2251) and 1.51 (95% CI 1.45 to 1.57), respectively. This generated a mean cost difference of -£36 (95% CI -£512 to £441) and a mean QALY difference of 0.001 (95% CI -0.080 to 0.082). The incremental NMB for 10TT versus usual care was £49 (95% CI -£1709 to £1800) at a maximum willingness to pay for a QALY of £20 000. 10TT had a 52% probability of being cost-effective at this threshold. CONCLUSIONS Costs and QALYs for 10TT were not significantly different from usual care and therefore 10TT is as cost-effective as usual care. There was no evidence to recommend nor advice against offering 10TT to obese patients in general practices based on cost-effectiveness considerations. TRIAL REGISTRATION NUMBER ISRCTN16347068; Post-results.
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Affiliation(s)
- Nishma Patel
- Department of Applied Health Research, University College London, London, UK
| | - Rebecca J Beeken
- Department of Behavioural Science and Health, University College London, London, UK
- Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
| | - Baptiste Leurent
- Department of Medical Statistics, London School of Hygiene & Tropical Medicine, London, UK
| | - Rumana Z Omar
- Department of Statistical Science, University College London, London, UK
| | - Irwin Nazareth
- Department of Primary Care and Population Health, University College London, London, UK
| | - Stephen Morris
- Department of Applied Health Research, University College London, London, UK
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11
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Sturgiss EA, Elmitt N, Haesler E, van Weel C, Douglas KA. Role of the family doctor in the management of adults with obesity: a scoping review. BMJ Open 2018; 8:e019367. [PMID: 29453301 PMCID: PMC5829928 DOI: 10.1136/bmjopen-2017-019367] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2017] [Revised: 11/13/2017] [Accepted: 12/19/2017] [Indexed: 12/12/2022] Open
Abstract
OBJECTIVES Obesity management is an important issue for the international primary care community. This scoping review examines the literature describing the role of the family doctor in managing adults with obesity. The methods were prospectively published and followed Joanna Briggs Institute methodology. SETTING Primary care. Adult patients. INCLUDED PAPERS Peer-reviewed and grey literature with the keywords obesity, primary care and family doctors. All literature published up to September 2015. 3294 non-duplicate papers were identified and 225 articles included after full-text review. PRIMARY AND SECONDARY OUTCOME MEASURES Data were extracted on the family doctors' involvement in different aspects of management, and whether whole person and person-centred care were explicitly mentioned. RESULTS 110 papers described interventions in primary care and family doctors were always involved in diagnosing obesity and often in recruitment of participants. A clear description of the provider involved in an intervention was often lacking. It was difficult to determine if interventions took account of whole person and person-centredness. Most opinion papers and clinical overviews described an extensive role for the family doctor in management; in contrast, research on current practices depicted obesity as undermanaged by family doctors. International guidelines varied in their description of the role of the family doctor with a more extensive role suggested by guidelines from family medicine organisations. CONCLUSIONS There is a disconnect between how family doctors are involved in primary care interventions, the message in clinical overviews and opinion papers, and observed current practice of family doctors. The role of family doctors in international guidelines for obesity may reflect the strength of primary care in the originating health system. Reporting of primary care interventions could be improved by enhanced descriptions of the providers involved and explanation of how the pillars of primary care are used in intervention development.
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Affiliation(s)
- Elizabeth A Sturgiss
- Academic Unit of General Practice, Australian Nation University Medical School, Canberra, Australia
| | - Nicholas Elmitt
- Academic Unit of General Practice, Australian Nation University Medical School, Canberra, Australia
| | - Emily Haesler
- Academic Unit of General Practice, Australian Nation University Medical School, Canberra, Australia
- School of Nursing, Midwifery and Paramedicine, Curtin University, Perth, Western Australia, Australia
- School of Nursing and Midwifery, La Trobe University, Melbourne, Victoria, Australia
| | - Chris van Weel
- Department of Primary and Community Care, Radboud University Medical Center, Nijmegen, Netherlands
- Department of Health Services Research and Policy, Australian National University, Canberra, Australia
| | - Kirsty A Douglas
- Academic Unit of General Practice, Australian Nation University Medical School, Canberra, Australia
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An Economic Evaluation of a Weight Loss Intervention Program for People with Serious Mental Illnesses Taking Antipsychotic Medications. ADMINISTRATION AND POLICY IN MENTAL HEALTH AND MENTAL HEALTH SERVICES RESEARCH 2018; 43:604-15. [PMID: 26149243 DOI: 10.1007/s10488-015-0669-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Individuals with serious mental illnesses suffer from obesity and cardiometabolic diseases at high rates, and antipsychotic medications exacerbate these conditions. While studies have shown weight loss and lifestyle interventions can be effective in this population, few have assessed intervention cost-effectiveness. We present results from a 12-month randomized controlled trial that reduced weight, fasting glucose, and medical hospitalizations in intervention participants. Costs per participant ranged from $4365 to $5687. Costs to reduce weight by one kilogram ranged from $1623 to $2114; costs to reduce fasting glucose by 1 mg/dL ranged from $467 to $608. Medical hospitalization costs were reduced by $137,500.
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13
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Elgart JF, Prestes M, Gonzalez L, Rucci E, Gagliardino JJ. Relation between cost of drug treatment and body mass index in people with type 2 diabetes in Latin America. PLoS One 2017; 12:e0189755. [PMID: 29261739 PMCID: PMC5738071 DOI: 10.1371/journal.pone.0189755] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2017] [Accepted: 12/03/2017] [Indexed: 11/21/2022] Open
Abstract
AIMS Despite the frequent association of obesity with type 2 diabetes (T2D), the effect of the former on the cost of drug treatment of the latest has not been specifically addressed. We studied the association of overweight/obesity on the cost of drug treatment of hyperglycemia, hypertension and dyslipidemia in a population with T2D. METHODS This observational study utilized data from the QUALIDIAB database on 3,099 T2D patients seen in Diabetes Centers in Argentina, Chile, Colombia, Peru, and Venezuela. Data were grouped according to body mass index (BMI) as Normal (18.5≤BMI<25), Overweight (25≤BMI<30), and Obese (BMI≥30). Thereafter, we assessed clinical and metabolic data and cost of drug treatment in each category. Statistical analyses included group comparisons for continuous variables (parametric or non-parametric tests), Chi-square tests for differences between proportions, and multivariable regression analysis to assess the association between BMI and monthly cost of drug treatment. RESULTS Although all groups showed comparable degree of glycometabolic control (FBG, HbA1c), we found significant differences in other metabolic control indicators. Total cost of drug treatment of hyperglycemia and associated cardiovascular risk factors (CVRF) increased significantly (p<0.001) with increment of BMI. Hyperglycemia treatment cost showed a significant increase concordant with BMI whereas hypertension and dyslipidemia did not. Despite different values and percentages of increase, this growing cost profile was reproduced in every participating country. BMI significantly and independently affected hyperglycemia treatment cost. CONCLUSIONS Our study shows for the first time that BMI significantly increases total expenditure on drugs for T2D and its associated CVRF treatment in Latin America.
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Affiliation(s)
- Jorge Federico Elgart
- CENEXA. Center of Experimental and Applied Endocrinology (UNLP-CONICET La Plata), School of Medicine, National University of La Plata, La Plata, Argentina
| | - Mariana Prestes
- CENEXA. Center of Experimental and Applied Endocrinology (UNLP-CONICET La Plata), School of Medicine, National University of La Plata, La Plata, Argentina
| | - Lorena Gonzalez
- CENEXA. Center of Experimental and Applied Endocrinology (UNLP-CONICET La Plata), School of Medicine, National University of La Plata, La Plata, Argentina
- School of Health Economics and Management of Healthcare Organizations, Faculty of Economic Sciences, National University of La Plata, La Plata, Argentina
| | - Enzo Rucci
- CENEXA. Center of Experimental and Applied Endocrinology (UNLP-CONICET La Plata), School of Medicine, National University of La Plata, La Plata, Argentina
- III-LIDI, Faculty of Informatics, National University of La Plata, La Plata, Argentina
| | - Juan Jose Gagliardino
- CENEXA. Center of Experimental and Applied Endocrinology (UNLP-CONICET La Plata), School of Medicine, National University of La Plata, La Plata, Argentina
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14
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Janssen EM, Jerome GJ, Dalcin AT, Gennusa JV, Goldsholl S, Frick KD, Wang NY, Appel LJ, Daumit GL. A cost analysis of implementing a behavioral weight loss intervention in community mental health settings: Results from the ACHIEVE trial. Obesity (Silver Spring) 2017; 25:1006-1013. [PMID: 28398006 PMCID: PMC5445002 DOI: 10.1002/oby.21836] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/02/2017] [Revised: 03/01/2017] [Accepted: 03/08/2017] [Indexed: 11/10/2022]
Abstract
OBJECTIVE In the ACHIEVE randomized controlled trial, an 18-month behavioral intervention accomplished weight loss in persons with serious mental illness who attended community psychiatric rehabilitation programs. This analysis estimates costs for delivering the intervention during the study. It also estimates expected costs to implement the intervention more widely in a range of community mental health programs. METHODS Using empirical data, costs were calculated from the perspective of a community psychiatric rehabilitation program delivering the intervention. Personnel and travel costs were calculated using time sheet data. Rent and supply costs were calculated using rent per square foot and intervention records. A univariate sensitivity analysis and an expert-informed sensitivity analysis were conducted. RESULTS With 144 participants receiving the intervention and a mean weight loss of 3.4 kg, costs of $95 per participant per month and $501 per kilogram lost in the trial were calculated. In univariate sensitivity analysis, costs ranged from $402 to $725 per kilogram lost. Through expert-informed sensitivity analysis, it was estimated that rehabilitation programs could implement the intervention for $68 to $85 per client per month. CONCLUSIONS Costs of implementing the ACHIEVE intervention were in the range of other intensive behavioral weight loss interventions. Wider implementation of efficacious lifestyle interventions in community mental health settings will require adequate funding mechanisms.
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Affiliation(s)
- Ellen M. Janssen
- Department of Health Policy and Management, Johns Hopkins School of Public Health, Baltimore, Maryland, USA
| | - Gerald J. Jerome
- Towson University, Department of Kinesiology, Baltimore, Maryland, USA
- Johns Hopkins University School of Medicine, Division of General Internal Medicine, Baltimore, Maryland, USA
| | - Arlene T Dalcin
- Johns Hopkins University School of Medicine, Division of General Internal Medicine, Baltimore, Maryland, USA
- Johns Hopkins University, Welch Center for Prevention, Epidemiology, and Clinical Research Baltimore, Maryland, USA
| | - Joseph V. Gennusa
- Johns Hopkins University School of Medicine, Division of General Internal Medicine, Baltimore, Maryland, USA
| | - Stacy Goldsholl
- Johns Hopkins University School of Medicine, Division of General Internal Medicine, Baltimore, Maryland, USA
| | - Kevin D. Frick
- Johns Hopkins Carey Business School, Baltimore, Maryland, USA
| | - Nae-Yuh Wang
- Johns Hopkins University School of Medicine, Division of General Internal Medicine, Baltimore, Maryland, USA
- Johns Hopkins University, Welch Center for Prevention, Epidemiology, and Clinical Research Baltimore, Maryland, USA
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Lawrence J. Appel
- Johns Hopkins University School of Medicine, Division of General Internal Medicine, Baltimore, Maryland, USA
- Johns Hopkins University, Welch Center for Prevention, Epidemiology, and Clinical Research Baltimore, Maryland, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Gail L. Daumit
- Johns Hopkins University School of Medicine, Division of General Internal Medicine, Baltimore, Maryland, USA
- Johns Hopkins University, Welch Center for Prevention, Epidemiology, and Clinical Research Baltimore, Maryland, USA
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Alouki K, Delisle H, Bermúdez-Tamayo C, Johri M. Lifestyle Interventions to Prevent Type 2 Diabetes: A Systematic Review of Economic Evaluation Studies. J Diabetes Res 2016; 2016:2159890. [PMID: 26885527 PMCID: PMC4738686 DOI: 10.1155/2016/2159890] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2015] [Revised: 10/13/2015] [Accepted: 10/19/2015] [Indexed: 01/29/2023] Open
Abstract
Objective. To summarize key findings of economic evaluations of lifestyle interventions for the primary prevention of type 2 diabetes (T2D) in high-risk subjects. Methods. We conducted a systematic review of peer-reviewed original studies published since January 2009 in English, French, and Spanish. Eligible studies were identified through relevant databases including PubMed, Medline, National Health Services Economic Evaluation, CINHAL, EconLit, Web of sciences, EMBASE, and the Latin American and Caribbean Health Sciences Literature. Studies targeting obesity were also included. Data were extracted using a standardized method. The BMJ checklist was used to assess study quality. The heterogeneity of lifestyle interventions precluded a meta-analysis. Results. Overall, 20 studies were retained, including six focusing on obesity control. Seven were conducted within trials and 13 using modeling techniques. T2D prevention by physical activity or diet or both proved cost-effective according to accepted thresholds, except for five inconclusive studies, three on diabetes prevention and two on obesity control. Most studies exhibited limitations in reporting results, primarily with regard to generalizability and justification of selected sensitivity parameters. Conclusion. This confirms that lifestyle interventions for the primary prevention of diabetes are cost-effective. Such interventions should be further promoted as sound investment in the fight against diabetes.
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Affiliation(s)
- Koffi Alouki
- TRANSNUT, WHO Collaborating Centre on Nutrition Changes and Development, Department of Nutrition, Faculty of Medicine, University of Montreal, 2405 Chemin de la Côte Sainte-Catherine, Montreal, QC, Canada H3T 1A8
| | - Hélène Delisle
- TRANSNUT, WHO Collaborating Centre on Nutrition Changes and Development, Department of Nutrition, Faculty of Medicine, University of Montreal, 2405 Chemin de la Côte Sainte-Catherine, Montreal, QC, Canada H3T 1A8
- *Hélène Delisle:
| | - Clara Bermúdez-Tamayo
- Institut de Recherche en Santé Publique de l'Université de Montréal (IRSPUM), University of Montreal, 7101 Avenue du Parc, 3e Étage, Montréal, QC, Canada H3N 1X9
| | - Mira Johri
- Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Tour Saint-Antoine, 850 Rue Saint-Denis, Montréal, QC, Canada H2X 0A9
- Department of Health Administration, School of Public Health (ESPUM), Faculty of Medicine, University of Montreal, 7101 Avenue du Parc, 3e Étage, Montréal, QC, Canada H3N 1X9
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Stumm G, Blaik A, Kropf S, Westphal S, Hantke TK, Luley C. Long-Term Follow-Up of the Telemonitoring Weight-Reduction Program "Active Body Control". J Diabetes Res 2016; 2016:3798729. [PMID: 27088096 PMCID: PMC4819117 DOI: 10.1155/2016/3798729] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2015] [Accepted: 02/16/2016] [Indexed: 11/18/2022] Open
Abstract
The Active Body Control (ABC) weight-reduction program is based on telemonitoring of physical activity and nutrition together with telecoaching by weekly counseling letters sent by post or by e-mail. The study presented here reports the results of a 1-year follow-up of 49 patients with the metabolic syndrome who had lost weight with the aid of the ABC program in the preceding year. The weight regain after the second year in patients not receiving any further care ("ABC discontinued" group; n = 24) and the potential benefit of continuing with the ABC program with monthly counseling letters ("ABC continued" group; n = 25) were investigated. The relative weight changes after the first year had been, respectively, -13.4% and -11.4% in the "ABC discontinued" and "ABC continued" groups, and after the second year they decreased by, respectively, 4.4 and 2.8%. However, this difference in weight regains between the two groups was not statistically significant. It is concluded that three-quarters of the weight loss after 1 year is maintained after the second year. The decision whether to continue with the ABC program after 1 year should be made individually.
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Affiliation(s)
- Gabriele Stumm
- 4sigma GmbH, Bajuwarenring 19, 82041 Oberhaching, Germany
- *Gabriele Stumm:
| | - Alexandra Blaik
- Institute of Clinical Chemistry and Pathobiochemistry, Otto-von-Guericke University, Leipziger Straße 44, 39120 Magdeburg, Germany
| | - Siegfried Kropf
- Institute of Biometry and Medical Informatics, Otto-von-Guericke University, Leipziger Straße 44, 39120 Magdeburg, Germany
| | - Sabine Westphal
- Municipal Hospital Dessau, Auenweg 38, 06847 Dessau-Roßlau, Germany
| | - Tanja Katrin Hantke
- Die Schwenninger Krankenkasse, Spittelstraße 50, 78056 Villingen-Schwenningen, Germany
| | - Claus Luley
- Institute of Clinical Chemistry and Pathobiochemistry, Otto-von-Guericke University, Leipziger Straße 44, 39120 Magdeburg, Germany
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Tsai AG, Juarez-Colunga E, Felton S, Speer RB, Bessesen DH, Atherly AJ. Medication costs during an 18 month clinical trial of obesity treatment among patients encountered in primary care. BMC OBESITY 2015. [PMID: 26217539 PMCID: PMC4511550 DOI: 10.1186/s40608-015-0054-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
BACKGROUND Weight loss often leads to reductions in medication costs, particularly for weight-related conditions. We aimed to evaluate changes in medication costs from an 18 month study of weight loss among patients recruited from primary care. METHODS Study participants (n = 79, average age = 56.3; 75.7 % female) with average BMI of 39.5 kg/m(2), plus one co-morbid condition of either diabetes/pre-diabetes, hypertension, abnormal cholesterol, or sleep apnea, were recruited from 2 internal medicine practices. All participants received intensive behavioral and dietary treatment during months 0-6, including subsidized access to portion-controlled foods for weight loss. From months 7-18, all participants were offered continued access to subsidized foods, and half of participants were randomly assigned to continue in-person visits ("Intensified Maintenance"), while the other half received materials by mail or e-mail ("Standard Maintenance"). Medication costs were evaluated at months 0, 6, and 18. RESULTS Participants assigned to Intensified Maintenance maintained nearly all their lost weight, whereas those assigned to Standard Maintenance regained weight. However, no significant differences in medication costs were observed within or between groups during the 18 months of the trial. A reduction of nearly $30 per month (12.9 %) was observed among all participants from month 0 to month 6 (active weight loss phase), but this difference did not reach statistical significance. CONCLUSIONS A behavioral intervention that led to clinically significant weight loss did not lead to statistically significant reductions in medication costs. Substantial variability in medication costs and lack of a systematic approach by the study team to reduce medications may explain the lack of effect. TRIAL REGISTRATION The trial was registered at (NCT01220089) on September 23, 2010.
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Affiliation(s)
- Adam G Tsai
- Division of General Internal Medicine, University of Colorado School of Medicine, Aurora, USA ; Anschutz Health and Wellness Center, University of Colorado School of Medicine, Aurora, USA ; Kaiser Permanente of Colorado, Departments of Internal Medicine and Metabolic-Surgical Weight Management, 2045 Franklin Street, 3rd Floor, Denver, USA
| | | | - Sue Felton
- Division of General Internal Medicine, University of Colorado School of Medicine, Aurora, USA ; Anschutz Health and Wellness Center, University of Colorado School of Medicine, Aurora, USA
| | - Rebecca B Speer
- Department of Medicine, Denver Health Medical Center, Denver, USA
| | - Daniel H Bessesen
- Anschutz Health and Wellness Center, University of Colorado School of Medicine, Aurora, USA ; Department of Medicine, Denver Health Medical Center, Denver, USA
| | - Adam J Atherly
- Department of Health Systems, Management, and Policy, Colorado School of Public Health, Aurora, USA
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18
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Levine DM, Savarimuthu S, Squires A, Nicholson J, Jay M. Technology-assisted weight loss interventions in primary care: a systematic review. J Gen Intern Med 2015; 30:107-17. [PMID: 25134692 PMCID: PMC4284284 DOI: 10.1007/s11606-014-2987-6] [Citation(s) in RCA: 85] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2013] [Revised: 06/02/2014] [Accepted: 07/23/2014] [Indexed: 12/26/2022]
Abstract
BACKGROUND The US Preventive Services Task Force recommends screening for and treating obesity. However, there are many barriers to successfully treating obesity in primary care (PC). Technology-assisted weight loss interventions offer novel ways of improving treatment, but trials are overwhelmingly conducted outside of PC and may not translate well into this setting. We conducted a systematic review of technology-assisted weight loss interventions specifically tested in PC settings. METHODS We searched the literature from January 2000 to March 2014. INCLUSION CRITERIA (1) Randomized controlled trial; (2) trials that utilized the Internet, personal computer, and/or mobile device; and (3) occurred in an ambulatory PC setting. We applied the Cochrane Effective Practice and Organization of Care (EPOC) and Delphi criteria to assess bias and the Pragmatic-Explanatory Continuum Indicator Summary (PRECIS) criteria to assess pragmatism (whether trials occurred in the real world versus under ideal circumstances). Given heterogeneity, results were not pooled quantitatively. RESULTS Sixteen trials met inclusion criteria. Twelve (75 %) interventions achieved weight loss (range: 0.08 kg - 5.4 kg) compared to controls, while 5-45 % of patients lost at least 5 % of baseline weight. Trial duration and attrition ranged from 3-36 months and 6-80 %, respectively. Ten (63 %) studies reported results after at least 1 year of follow-up. Interventions used various forms of personnel, technology modalities, and behavior change elements; trials most frequently utilized medical doctors (MDs) (44 %), web-based applications (63 %), and self-monitoring (81 %), respectively. Interventions that included clinician-guiding software or feedback from personnel appeared to promote more weight loss than fully automated interventions. Only two (13 %) studies used publically available technologies. Many studies had fair pragmatism scores (mean: 2.8/4), despite occurring in primary care. DISCUSSION Compared to usual care, technology-assisted interventions in the PC setting help patients achieve weight loss, offering evidence-based options to PC providers. However, best practices remain undetermined. Despite occurring in PC, studies often fall short in utilizing pragmatic methodology and rarely provide publically available technology. Longitudinal, pragmatic, interdisciplinary, and open-source interventions are needed.
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Affiliation(s)
- David M Levine
- Department of Medicine, New York University School of Medicine, 423 E 23rd St Rm 15161, New York, NY, 10010, USA,
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Espeland MA, Glick HA, Bertoni A, Brancati FL, Bray GA, Clark JM, Curtis JM, Egan C, Evans M, Foreyt JP, Ghazarian S, Gregg EW, Hazuda HP, Hill JO, Hire D, Horton ES, Hubbard VS, Jakicic JM, Jeffery RW, Johnson KC, Kahn SE, Killean T, Kitabchi AE, Knowler WC, Kriska A, Lewis CE, Miller M, Montez MG, Murillo A, Nathan DM, Nyenwe E, Patricio J, Peters AL, Pi-Sunyer X, Pownall H, Redmon JB, Rushing J, Ryan DH, Safford M, Tsai AG, Wadden TA, Wing RR, Yanovski SZ, Zhang P. Impact of an intensive lifestyle intervention on use and cost of medical services among overweight and obese adults with type 2 diabetes: the action for health in diabetes. Diabetes Care 2014; 37:2548-56. [PMID: 25147253 PMCID: PMC4140155 DOI: 10.2337/dc14-0093] [Citation(s) in RCA: 128] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2014] [Accepted: 03/06/2014] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To assess the relative impact of an intensive lifestyle intervention (ILI) on use and costs of health care within the Look AHEAD trial. RESEARCH DESIGN AND METHODS A total of 5,121 overweight or obese adults with type 2 diabetes were randomly assigned to an ILI that promoted weight loss or to a comparison condition of diabetes support and education (DSE). Use and costs of health-care services were recorded across an average of 10 years. RESULTS ILI led to reductions in annual hospitalizations (11%, P = 0.004), hospital days (15%, P = 0.01), and number of medications (6%, P < 0.001), resulting in cost savings for hospitalization (10%, P = 0.04) and medication (7%, P < 0.001). ILI produced a mean relative per-person 10-year cost savings of $5,280 (95% CI 3,385-7,175); however, these were not evident among individuals with a history of cardiovascular disease. CONCLUSIONS Compared with DSE over 10 years, ILI participants had fewer hospitalizations, fewer medications, and lower health-care costs.
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Affiliation(s)
- Mark A Espeland
- Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC
| | - Henry A Glick
- Weight and Eating Disorder Program, University of Pennsylvania, Philadelphia, PA
| | - Alain Bertoni
- Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, NC
| | | | - George A Bray
- Pennington Biomedical Research Center, Baton Rouge, LA
| | | | - Jeffrey M Curtis
- Southwest American Indian Center, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, AZ Southwest American Indian Center, National Institute of Diabetes and Digestive and Kidney Diseases, Shiprock, NM
| | - Caitlin Egan
- Weight Control and Diabetes Research Center, Brown Medical School/The Miriam Hospital, Providence, RI
| | - Mary Evans
- National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD
| | - John P Foreyt
- Department of Medicine, Baylor College of Medicine, Houston, TX
| | | | | | - Helen P Hazuda
- University of Texas Health Science Center at San Antonio, San Antonio, TX
| | - James O Hill
- Anschutz Health and Wellness Center, University of Colorado Health Sciences Center, Aurora, CO
| | - Don Hire
- Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC
| | - Edward S Horton
- Department of Clinical Epidemiology, Joslin Diabetes Center, Boston, MA
| | - Van S Hubbard
- National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD
| | - John M Jakicic
- Diabetes Unit, Department of Health and Physical Activity, University of Pittsburgh, Pittsburgh, PA
| | - Robert W Jeffery
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN
| | - Karen C Johnson
- Department of Preventive Medicine, University of Tennessee Health Sciences Center, Memphis, TN
| | - Steven E Kahn
- Department of Medicine, University of Washington, Seattle, WA
| | - Tina Killean
- Southwest American Indian Center, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, AZ Southwest American Indian Center, National Institute of Diabetes and Digestive and Kidney Diseases, Shiprock, NM
| | - Abbas E Kitabchi
- Department of Preventive Medicine, University of Tennessee Health Sciences Center, Memphis, TN
| | - William C Knowler
- Southwest American Indian Center, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, AZ Southwest American Indian Center, National Institute of Diabetes and Digestive and Kidney Diseases, Shiprock, NM
| | - Andrea Kriska
- Diabetes Unit, Department of Health and Physical Activity, University of Pittsburgh, Pittsburgh, PA
| | - Cora E Lewis
- Preventive Medicine, University of Alabama at Birmingham, Birmingham, AL
| | - Marsha Miller
- Anschutz Health and Wellness Center, University of Colorado Health Sciences Center, Aurora, CO
| | - Maria G Montez
- University of Texas Health Science Center at San Antonio, San Antonio, TX
| | - Anne Murillo
- Department of Medicine, University of Washington, Seattle, WA
| | | | - Ebenezer Nyenwe
- Department of Preventive Medicine, University of Tennessee Health Sciences Center, Memphis, TN
| | - Jennifer Patricio
- Division of and Department of Medicine, St. Luke's-Roosevelt Hospital, New York, NY
| | | | - Xavier Pi-Sunyer
- Division of and Department of Medicine, St. Luke's-Roosevelt Hospital, New York, NY
| | - Henry Pownall
- Department of Medicine, Baylor College of Medicine, Houston, TX
| | - J Bruce Redmon
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN
| | - Julia Rushing
- Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC
| | - Donna H Ryan
- Pennington Biomedical Research Center, Baton Rouge, LA
| | - Monika Safford
- Preventive Medicine, University of Alabama at Birmingham, Birmingham, AL
| | - Adam G Tsai
- Division of Internal Medicine, University of Colorado Health Sciences Center, Aurora, CO
| | - Thomas A Wadden
- Weight and Eating Disorder Program, University of Pennsylvania, Philadelphia, PA
| | - Rena R Wing
- Weight Control and Diabetes Research Center, Brown Medical School/The Miriam Hospital, Providence, RI
| | - Susan Z Yanovski
- National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD
| | - Ping Zhang
- Centers for Disease Control and Prevention, Atlanta, GA
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Hackman RM, Aggarwal BB, Applebaum RS, deVere White RW, Dubick MA, Heber D, Ito T, Johnson GH, Keen CL, Winters BL, Stohs SJ. Forecasting nutrition research in 2020. J Am Coll Nutr 2014; 33:340-6. [PMID: 25144361 DOI: 10.1080/07315724.2014.943113] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Affiliation(s)
- Robert M Hackman
- a Department of Nutrition , University of California , Davis , California
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Abstract
Advances in technology have contributed to the obesity epidemic and worsened health by reducing opportunities for physical activity and by the proliferation of inexpensive calorie-dense foods. However, much of the same technology can be used to counter these troublesome trends by fostering the development and maintenance of healthy eating and physical activity habits. In contrast to intensive face-to-face treatments, technology-based interventions also have the potential to reach large numbers of individuals at low cost. The purpose of this review is to discuss studies in which digital technology has been used for behavioral weight control, report on advances in consumer technology that are widely adopted but insufficiently tested, and explore potential future directions for both. Web-based, mobile (eg, smartphone), virtual reality, and gaming technologies are the focus of discussion. The best evidence exists to support the use of digital technology for self-monitoring of weight-related behaviors and outcomes. However, studies are underway that will provide additional, important information regarding how best to apply digital technology for behavioral weight control.
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Affiliation(s)
- J Graham Thomas
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, The Miriam Hospital Weight Control and Diabetes Research Center, 196 Richmond Street, Providence, RI, 02903, USA,
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