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Tzelepis F, Wiggers J, Paul CL, Mitchell A, Byrnes E, Byaruhanga J, Wilson L, Lecathelinais C, Bowman J, Campbell E, Gillham K. A randomised trial of real-time video counselling for smoking cessation among rural and remote residents. J Telemed Telecare 2024:1357633X241273076. [PMID: 39165226 DOI: 10.1177/1357633x241273076] [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: 08/22/2024]
Abstract
INTRODUCTION Despite its reach, very limited evidence exists on the effectiveness of real-time video counselling for smoking cessation (e.g. via Skype). This study compared the effectiveness of real-time video counselling for smoking cessation to (a) telephone counselling; and (b) a control among rural and remote residents. METHODS Between 25 May 2017 and 3 March 2020, a three-arm, parallel group, randomised trial, randomised 1244 rural and remote residents from New South Wales, Australia who smoked tobacco to: video counselling (4-6 video sessions); telephone counselling (4-6 telephone calls); or a control (printed materials). The primary outcome was 7-day point prevalence abstinence at 13 months post-baseline. Secondary outcomes were point prevalence abstinence at 4 months and 7-months post-baseline, prolonged abstinence, quit attempts, anxiety and depression. RESULTS For the primary outcome of 7-day point prevalence abstinence at 13 months post-baseline, there was no significant difference between video counselling and telephone counselling (14.6% vs 13.3%; (OR = 1.11, 95% CI (0.75-1.64), P = 0.61) or video counselling and control (14.6% vs 13.9%; (OR = 1.06, 95% CI (0.71-1.57), P = 0.77). For secondary outcomes at 4 months post-baseline, the video counselling group had significantly higher odds than the control of 7-day point prevalence abstinence (14.3% vs 8.2%; OR = 1.88, 95% CI (1.20-2.95), P = 0.006) and 3-month prolonged abstinence (4.9% vs 2.2%; OR = 2.28, 95% CI (1.03-5.07), P = 0.04). There were no significant differences for other secondary outcomes. DISCUSSION Video counselling increased smoking cessation in the short-term compared to a control although strategies to improve its long-term effectiveness are needed. TRIAL REGISTRATION Australian New Zealand Clinical Trials Registry, https://www.anzctr.org.au ACTRN12617000514303.
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Affiliation(s)
- Flora Tzelepis
- School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, New South Wales, Australia
- Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| | - John Wiggers
- School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, New South Wales, Australia
- Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| | - Christine L Paul
- School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| | - Aimee Mitchell
- School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, New South Wales, Australia
| | - Emma Byrnes
- School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia
| | - Judith Byaruhanga
- School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, New South Wales, Australia
| | - Louise Wilson
- School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, New South Wales, Australia
| | - Christophe Lecathelinais
- School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, New South Wales, Australia
| | - Jennifer Bowman
- Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
- School of Psychology, University of Newcastle, Callaghan, New South Wales, Australia
| | - Elizabeth Campbell
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, New South Wales, Australia
| | - Karen Gillham
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, New South Wales, Australia
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Salloum RG, LeLaurin JH, Dallery J, Childs K, Huo J, Shenkman EA, Warren GW. Cost evaluation of tobacco control interventions in clinical settings: A systematic review. Prev Med 2021; 146:106469. [PMID: 33639182 DOI: 10.1016/j.ypmed.2021.106469] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Revised: 02/12/2021] [Accepted: 02/20/2021] [Indexed: 11/22/2022]
Abstract
Elucidating the cost implications of tobacco control interventions is a prerequisite to their adoption in clinical settings. This review fills a knowledge gap in characterizing the extent to which cost is measured in tobacco control studies. A search of English literature was conducted in the following electronic databases: MEDLINE, EconLit, PsychINFO, and CINAHL using MeSH terms from 2009 to 2018. Studies were reviewed by two independent reviewers and included if they were conducted in U.S. inpatient or outpatient facilities and reported costs associated with a tobacco control intervention. They were categorized according to evaluation type, clinical setting, target population, cost measures, and stakeholder perspective. Bias risk was evaluated for RCTs. Seventeen publications were included, representing counseling interventions (n = 8) and combination (i.e., counseling and pharmacotherapy) interventions (n = 9). Studies were categorized by evaluation type: cost-effectiveness analysis (n = 10), cost utility analysis (n = 3) and cost identification (n = 4). The selected studies targeted the following populations: general adults (n = 6), hospitalized/inpatient (n = 4), military/veterans (n = 4), individuals with low socioeconomic status (n = 4), mental health or medical comorbidities (n = 2), and pregnant women (n = 2). Intervention costs included personnel, medication, education material, technology, and overhead costs. Stakeholder perspectives included: healthcare organization (n = 10), payer (n = 8), patient (n = 2), and societal (n = 1). Few studies have reported the cost of tobacco control interventions in clinical settings. Cost is a critical outcome that should be consistently measured in evaluations of tobacco control interventions to promote their uptake in clinical settings.
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Affiliation(s)
- Ramzi G Salloum
- Department of Health Outcomes and Biomedical Informatics, University of Florida College of Medicine, Gainesville, FL, USA.
| | - Jennifer H LeLaurin
- Department of Health Outcomes and Biomedical Informatics, University of Florida College of Medicine, Gainesville, FL, USA
| | - Jesse Dallery
- Department of Psychology, University of Florida, Gainesville, FL, USA
| | - Kayla Childs
- Department of Health Outcomes and Biomedical Informatics, University of Florida College of Medicine, Gainesville, FL, USA
| | - Jinhai Huo
- Department of Health Outcomes and Biomedical Informatics, University of Florida College of Medicine, Gainesville, FL, USA
| | - Elizabeth A Shenkman
- Department of Health Outcomes and Biomedical Informatics, University of Florida College of Medicine, Gainesville, FL, USA
| | - Graham W Warren
- Department of Cell and Molecular Pharmacology, Medical University of South Carolina, Charleston, SC, USA; Department of Radiation Oncology, Medical University of South Carolina, Charleston, SC, USA
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Ward CE, Hall SV, Barnett PG, Jordan N, Duffy SA. Cost-effectiveness of a nurse-delivered, inpatient smoking cessation intervention. Transl Behav Med 2020; 10:1481-1490. [PMID: 31228196 PMCID: PMC7796705 DOI: 10.1093/tbm/ibz101] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Randomized controlled trials have shown that inpatient tobacco cessation interventions are highly efficacious and cost-effective. However, the degree to which smoking interventions implemented in nonrandomized, real-world practice settings are effective, and consequently, cost-effective, remains unclear. This study evaluated the cost-effectiveness of a nurse-delivered, inpatient smoking cessation intervention, Tobacco Tactics, compared with usual care within the context of an observational, real-world study design. In this quasi-experimental study, five Michigan hospitals (N = 1,370 patients) were assigned to implement either Tobacco Tactics or usual care during October 2011-May 2013. Statistical analysis was conducted during January 2017-February 2018. Controlling for confounding using stabilized inverse probability of treatment weights, incremental cost-effectiveness ratios were calculated and cost-effectiveness acceptability curves were generated. The per person cost of tobacco cessation services in the intervention group exceeded that of usual care ($175.52 vs. $67.80; p < .001). The intervention group had a higher propensity-adjusted self-reported quit rate compared to the control group (15.7% vs. 7.0%; p < .0001). The propensity-adjusted incremental cost-effectiveness ratio was $1,325 per quit (95% confidence interval: $751-$2,462), with 99.9% probability of being cost-effective at a willingness to pay of $5,000 per quit. The Tobacco Tactics intervention was found to be cost-effective and well within the range of incremental cost-per-quit findings from other studies of tobacco cessation interventions, which range from $918 to $23,200, adjusted for inflation.
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Affiliation(s)
- Charlotte E Ward
- Center for Healthcare Studies, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Center for Health Statistics, Departments of Medicine and Public Health Sciences, University of Chicago, Chicago, IL, USA
| | - Stephanie V Hall
- Ann Arbor VA Center for Clinical Management Research, Ann Arbor, MI, USA
- Department of Learning Health Sciences, University of Michigan, Ann Arbor, MI, USA
| | - Paul G Barnett
- Veterans Affairs Health Economics Resource Center, Menlo Park, CA, USA
| | - Neil Jordan
- Center for Healthcare Studies, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Departments of Psychiatry and Behavioral Sciences and Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Hines VA Hospital, Center of Innovation for Complex Chronic Healthcare, Evanston, IL, USA
| | - Sonia A Duffy
- Ann Arbor VA Center for Clinical Management Research, Ann Arbor, MI, USA
- College of Nursing, The Ohio State University, Columbus, OH, USA
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Costa-Dookhan KA, Leung SE, Cassin SE, Sockalingam S. Psychosocial Predictors of Response to Telephone-Based Cognitive Behavioural Therapy in Bariatric Surgery Patients. Can J Diabetes 2019; 44:236-240. [PMID: 31447318 DOI: 10.1016/j.jcjd.2019.06.008] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2019] [Revised: 05/17/2019] [Accepted: 06/25/2019] [Indexed: 10/26/2022]
Abstract
OBJECTIVE Bariatric surgery is an empirically supported treatment for severe obesity; however, it does not directly target underlying behavioural and psychological factors that potentially contribute to obesity. Mounting evidence supports the efficacy of cognitive behavioural therapy (CBT) for improving eating psychopathology and psychological distress among bariatric patients, and telephone-based CBT (Tele-CBT) is a novel delivery method that increases treatment accessibility. METHODS This study aimed to identify demographic and clinical predictors of response to Tele-CBT among 79 patients who received Tele-CBT in 3 previous studies. Listwise deletion was applied, after which 58 patients were included in a multivariate linear regression adjusted for age, sex and education status, to evaluate patient rurality index (urban or nonurban), and baseline binge eating, emotional eating and depression symptoms, as predictors of tele-CBT response. RESULTS The predictors explained 31% of the observed variance [R2=0.312, F(4,57)=3.238, p<0.01]. Patient rurality index (beta=0.341, p<0.01) was the only statistically significant predictor of Tele-CBT response. CONCLUSIONS Given the limited psychosocial resources available in many bariatric surgery programs, the findings suggest that Tele-CBT may be particularly beneficial for patients residing in nonurban communities with limited access to other health-care services.
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Affiliation(s)
- Kenya A Costa-Dookhan
- Bariatric Surgery Program, Toronto Western Hospital, Toronto, Ontario, Canada; Faculty of Medicine, University of Toronto Institute of Medical Science, Toronto, Ontario, Canada; Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Samantha E Leung
- Bariatric Surgery Program, Toronto Western Hospital, Toronto, Ontario, Canada
| | - Stephanie E Cassin
- Bariatric Surgery Program, Toronto Western Hospital, Toronto, Ontario, Canada; Department of Psychology, Ryerson University, Toronto, Ontario, Canada
| | - Sanjeev Sockalingam
- Bariatric Surgery Program, Toronto Western Hospital, Toronto, Ontario, Canada; Faculty of Medicine, University of Toronto Institute of Medical Science, Toronto, Ontario, Canada; Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada.
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Abstract
BACKGROUND Telephone services can provide information and support for smokers. Counselling may be provided proactively or offered reactively to callers to smoking cessation helplines. OBJECTIVES To evaluate the effect of telephone support to help smokers quit, including proactive or reactive counselling, or the provision of other information to smokers calling a helpline. SEARCH METHODS We searched the Cochrane Tobacco Addiction Group Specialised Register, clinicaltrials.gov, and the ICTRP for studies of telephone counselling, using search terms including 'hotlines' or 'quitline' or 'helpline'. Date of the most recent search: May 2018. SELECTION CRITERIA Randomised or quasi-randomised controlled trials which offered proactive or reactive telephone counselling to smokers to assist smoking cessation. DATA COLLECTION AND ANALYSIS We used standard methodological procedures expected by Cochrane. We pooled studies using a random-effects model and assessed statistical heterogeneity amongst subgroups of clinically comparable studies using the I2 statistic. In trials including smokers who did not call a quitline, we used meta-regression to investigate moderation of the effect of telephone counselling by the planned number of calls in the intervention, trial selection of participants that were motivated to quit, and the baseline support provided together with telephone counselling (either self-help only, brief face-to-face intervention, pharmacotherapy, or financial incentives). MAIN RESULTS We identified 104 trials including 111,653 participants that met the inclusion criteria. Participants were mostly adult smokers from the general population, but some studies included teenagers, pregnant women, and people with long-term or mental health conditions. Most trials (58.7%) were at high risk of bias, while 30.8% were at unclear risk, and only 11.5% were at low risk of bias for all domains assessed. Most studies (100/104) assessed proactive telephone counselling, as opposed to reactive forms.Among trials including smokers who contacted helplines (32,484 participants), quit rates were higher for smokers receiving multiple sessions of proactive counselling (risk ratio (RR) 1.38, 95% confidence interval (CI) 1.19 to 1.61; 14 trials, 32,484 participants; I2 = 72%) compared with a control condition providing self-help materials or brief counselling in a single call. Due to the substantial unexplained heterogeneity between studies, we downgraded the certainty of the evidence to moderate.In studies that recruited smokers who did not call a helpline, the provision of telephone counselling increased quit rates (RR 1.25, 95% CI 1.15 to 1.35; 65 trials, 41,233 participants; I2 = 52%). Due to the substantial unexplained heterogeneity between studies, we downgraded the certainty of the evidence to moderate. In subgroup analysis, we found no evidence that the effect of telephone counselling depended upon whether or not other interventions were provided (P = 0.21), no evidence that more intensive support was more effective than less intensive (P = 0.43), or that the effect of telephone support depended upon whether or not people were actively trying to quit smoking (P = 0.32). However, in meta-regression, telephone counselling was associated with greater effectiveness when provided as an adjunct to self-help written support (P < 0.01), or to a brief intervention from a health professional (P = 0.02); telephone counselling was less effective when provided as an adjunct to more intensive counselling. Further, telephone support was more effective for people who were motivated to try to quit smoking (P = 0.02). The findings from three additional trials of smokers who had not proactively called a helpline but were offered telephone counselling, found quit rates were higher in those offered three to five telephone calls compared to those offered just one call (RR 1.27, 95% CI 1.12 to 1.44; 2602 participants; I2 = 0%). AUTHORS' CONCLUSIONS There is moderate-certainty evidence that proactive telephone counselling aids smokers who seek help from quitlines, and moderate-certainty evidence that proactive telephone counselling increases quit rates in smokers in other settings. There is currently insufficient evidence to assess potential variations in effect from differences in the number of contacts, type or timing of telephone counselling, or when telephone counselling is provided as an adjunct to other smoking cessation therapies. Evidence was inconclusive on the effect of reactive telephone counselling, due to a limited number studies, which reflects the difficulty of studying this intervention.
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Affiliation(s)
| | - José M. Ordóñez‐Mena
- University of OxfordNuffield Department of Primary Care Health SciencesRadcliffe Observatory QuarterWoodstock RoadOxfordOxfordshireUKOX2 6GG
| | - Jamie Hartmann‐Boyce
- University of OxfordNuffield Department of Primary Care Health SciencesRadcliffe Observatory QuarterWoodstock RoadOxfordOxfordshireUKOX2 6GG
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Dalouk K, Gandhi N, Jessel P, MacMurdy K, Zarraga IG, Lasarev M, Raitt M. Outcomes of Telemedicine Video-Conferencing Clinic Versus In-Person Clinic Follow-Up for Implantable Cardioverter-Defibrillator Recipients. Circ Arrhythm Electrophysiol 2017; 10:CIRCEP.117.005217. [PMID: 28916510 DOI: 10.1161/circep.117.005217] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2017] [Accepted: 08/04/2017] [Indexed: 11/16/2022]
Abstract
BACKGROUND Implantable cardioverter-defibrillator (ICD) recipients require close follow-up that can be difficult for patients who have to travel long distances for clinic follow-up. We aimed to compare clinical outcomes between ICD patients followed-up in a telemedicine video-conferencing clinic (TMVC) and a conventional in-person clinic (CIC). We hypothesized that outcomes of patients followed in the TMVC are noninferior to the CIC. METHODS AND RESULTS This retrospective study compares time to first appropriate ICD therapy, time to first inappropriate ICD therapy, time to first shock, and overall survival in patients followed in TMVC compared with CIC between 2001 and 2016. Two hundred and eighty-seven patients were followed in the TMVC group and 236 patients in the CIC. The average age of the TMVC and CIC groups was 64.13±9.38 and 65.23±8.57 years, respectively (P=0.164). There was no difference in the modified Seattle heart failure model score between the 2 groups (-0.12±1.0 versus -0.21±0.99; P=0.287). The Charlson comorbidity index score was higher in the CIC group compared with the TMVC group (7.0 versus 6.0; P=0.01). Mean duration of follow-up was 4.8 years. Adjusted and unadjusted tests of noninferiority found TMVC was not inferior to in-person follow-up for the prespecified outcomes. CONCLUSIONS Video-conferencing ICD follow-up for patients in areas where electrophysiology subspecialty care is not available leads to outcomes that are noninferior to CIC follow-up.
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Affiliation(s)
- Khidir Dalouk
- From the Knight Cardiovascular Institute (K.D., N.G., P.J., K.M., I.G.Z., M.R.), Biostatistics and Design Program (M.L.), Oregon Clinical & Translational Research Institute (OCRTI), Oregon Health and Science University, Portland; and Electrophysiology Department, Portland Veterans Affairs Medical Center, OR (P.J., K.M., I.G.Z., M.R.).
| | - Nainesh Gandhi
- From the Knight Cardiovascular Institute (K.D., N.G., P.J., K.M., I.G.Z., M.R.), Biostatistics and Design Program (M.L.), Oregon Clinical & Translational Research Institute (OCRTI), Oregon Health and Science University, Portland; and Electrophysiology Department, Portland Veterans Affairs Medical Center, OR (P.J., K.M., I.G.Z., M.R.)
| | - Peter Jessel
- From the Knight Cardiovascular Institute (K.D., N.G., P.J., K.M., I.G.Z., M.R.), Biostatistics and Design Program (M.L.), Oregon Clinical & Translational Research Institute (OCRTI), Oregon Health and Science University, Portland; and Electrophysiology Department, Portland Veterans Affairs Medical Center, OR (P.J., K.M., I.G.Z., M.R.)
| | - Karen MacMurdy
- From the Knight Cardiovascular Institute (K.D., N.G., P.J., K.M., I.G.Z., M.R.), Biostatistics and Design Program (M.L.), Oregon Clinical & Translational Research Institute (OCRTI), Oregon Health and Science University, Portland; and Electrophysiology Department, Portland Veterans Affairs Medical Center, OR (P.J., K.M., I.G.Z., M.R.)
| | - Ignatius Gerardo Zarraga
- From the Knight Cardiovascular Institute (K.D., N.G., P.J., K.M., I.G.Z., M.R.), Biostatistics and Design Program (M.L.), Oregon Clinical & Translational Research Institute (OCRTI), Oregon Health and Science University, Portland; and Electrophysiology Department, Portland Veterans Affairs Medical Center, OR (P.J., K.M., I.G.Z., M.R.)
| | - Michael Lasarev
- From the Knight Cardiovascular Institute (K.D., N.G., P.J., K.M., I.G.Z., M.R.), Biostatistics and Design Program (M.L.), Oregon Clinical & Translational Research Institute (OCRTI), Oregon Health and Science University, Portland; and Electrophysiology Department, Portland Veterans Affairs Medical Center, OR (P.J., K.M., I.G.Z., M.R.)
| | - Merritt Raitt
- From the Knight Cardiovascular Institute (K.D., N.G., P.J., K.M., I.G.Z., M.R.), Biostatistics and Design Program (M.L.), Oregon Clinical & Translational Research Institute (OCRTI), Oregon Health and Science University, Portland; and Electrophysiology Department, Portland Veterans Affairs Medical Center, OR (P.J., K.M., I.G.Z., M.R.)
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Shearer J, McCrone P, Romeo R. Economic Evaluation of Mental Health Interventions: A Guide to Costing Approaches. PHARMACOECONOMICS 2016; 34:651-64. [PMID: 26922076 DOI: 10.1007/s40273-016-0390-3] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/27/2023]
Abstract
Costing approaches in the economic evaluation of mental health interventions are complicated by the broad societal impacts of mental health, and the multidisciplinary nature of mental health interventions. This paper aims to provide a practical guide to costing approaches across a wide range of care inputs and illness consequences relevant to the treatment of mental health. The resources needed to deliver mental health interventions are highly variable and depend on treatment settings (institutional, community), treatment providers (medical, non-medical) and formats (individual, group, electronic). Establishing the most appropriate perspective is crucial when assessing the costs associated with a particular mental health problem or when evaluating interventions to treat them. We identify five key cost categories (social care, informal care, production losses, crime and education) impacted by mental health and discuss contemporary issues in resource use measurement and valuation, including data sources and resource use instruments.
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Affiliation(s)
- James Shearer
- King's Health Economics, King's College London, London, UK
- Institute of Psychiatry Psychology and Neuroscience, De Crespigny Park, London, SE5 8AF, UK
| | - Paul McCrone
- King's Health Economics, King's College London, London, UK.
- Institute of Psychiatry Psychology and Neuroscience, De Crespigny Park, London, SE5 8AF, UK.
| | - Renee Romeo
- King's Health Economics, King's College London, London, UK
- Institute of Psychiatry Psychology and Neuroscience, De Crespigny Park, London, SE5 8AF, UK
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López-Núñez C, Alonso-Pérez F, Pedrosa I, Secades-Villa R. Cost-effectiveness of a voucher-based intervention for smoking cessation. THE AMERICAN JOURNAL OF DRUG AND ALCOHOL ABUSE 2015; 42:296-305. [PMID: 26484869 DOI: 10.3109/00952990.2015.1081913] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
BACKGROUND Contingency management (CM) has been shown to be effective in reducing smoking consumption, but has traditionally been criticized for its costs. OBJECTIVES This study assessed the cost-effectiveness of using a voucher-based CM protocol added to a cognitive behavioral treatment (CBT) for smoking cessation among treatment-seeking patients from the general population. METHODS A total of 92 patients were randomly assigned to CBT or CBT plus CM for abstinence. Incremental cost-effectiveness ratios (ICERs) were calculated by dividing the increase in costs by the increase in effects (continuous abstinence, longest duration of abstinence at 6-month follow-up and cotinine results during the treatment). An acceptability curve illustrated the statistical uncertainty surrounding the cost-effectiveness estimate. We also determined the optimum cost per participant for predicting the smoking status at 6-month follow-up. RESULTS The average cost per participant in the CBT condition was €138.73 (US$ 150.23) as opposed to €411.61 (US$ 445.73) in the CBT plus CM condition (p < 0.01). The incremental cost of using voucher-based CM to increase the number of participants that maintained abstinence at 6-month follow-up by one extra participant was €68.22 (US$ 73.88), and to lengthen the longest duration of abstinence by 1 week was €53.92 (US$ 58.39). The incremental cost to obtain an extra cotinine-negative result was €181.90 (US$ 196.98). CONCLUSION Compared with CBT alone, the voucher-based protocol required additional costs but achieved significantly better outcomes. These results will allow stakeholders to make policy decisions about CM implementation for smoking cessation in the broader community.
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Affiliation(s)
| | | | - Ignacio Pedrosa
- a Department of Psychology , University of Oviedo , Oviedo , Spain
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Flodgren G, Rachas A, Farmer AJ, Inzitari M, Shepperd S. Interactive telemedicine: effects on professional practice and health care outcomes. THE COCHRANE DATABASE OF SYSTEMATIC REVIEWS 2015. [PMID: 26343551 DOI: 10.1002/14651858.cd002098.pub2.] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
BACKGROUND Telemedicine (TM) is the use of telecommunication systems to deliver health care at a distance. It has the potential to improve patient health outcomes, access to health care and reduce healthcare costs. As TM applications continue to evolve it is important to understand the impact TM might have on patients, healthcare professionals and the organisation of care. OBJECTIVES To assess the effectiveness, acceptability and costs of interactive TM as an alternative to, or in addition to, usual care (i.e. face-to-face care, or telephone consultation). SEARCH METHODS We searched the Effective Practice and Organisation of Care (EPOC) Group's specialised register, CENTRAL, MEDLINE, EMBASE, five other databases and two trials registers to June 2013, together with reference checking, citation searching, handsearching and contact with study authors to identify additional studies. SELECTION CRITERIA We considered randomised controlled trials of interactive TM that involved direct patient-provider interaction and was delivered in addition to, or substituting for, usual care compared with usual care alone, to participants with any clinical condition. We excluded telephone only interventions and wholly automatic self-management TM interventions. DATA COLLECTION AND ANALYSIS For each condition, we pooled outcome data that were sufficiently homogenous using fixed effect meta-analysis. We reported risk ratios (RR) and 95% confidence intervals (CI) for dichotomous outcomes, and mean differences (MD) for continuous outcomes. MAIN RESULTS We included 93 eligible trials (N = 22,047 participants), which evaluated the effectiveness of interactive TM delivered in addition to (32% of studies), as an alternative to (57% of studies), or partly substituted for usual care (11%) as compared to usual care alone.The included studies recruited patients with the following clinical conditions: cardiovascular disease (36), diabetes (21), respiratory conditions (9), mental health or substance abuse conditions (7), conditions requiring a specialist consultation (6), co morbidities (3), urogenital conditions (3), neurological injuries and conditions (2), gastrointestinal conditions (2), neonatal conditions requiring specialist care (2), solid organ transplantation (1), and cancer (1).Telemedicine provided remote monitoring (55 studies), or real-time video-conferencing (38 studies), which was used either alone or in combination. The main TM function varied depending on clinical condition, but fell typically into one of the following six categories, with some overlap: i) monitoring of a chronic condition to detect early signs of deterioration and prompt treatment and advice, (41); ii) provision of treatment or rehabilitation (12), for example the delivery of cognitive behavioural therapy, or incontinence training; iii) education and advice for self-management (23), for example nurses delivering education to patients with diabetes or providing support to parents of very low birth weight infants or to patients with home parenteral nutrition; iv) specialist consultations for diagnosis and treatment decisions (8), v) real-time assessment of clinical status, for example post-operative assessment after minor operation or follow-up after solid organ transplantation (8) vi), screening, for angina (1).The type of data transmitted by the patient, the frequency of data transfer, (e.g. telephone, e-mail, SMS) and frequency of interactions between patient and healthcare provider varied across studies, as did the type of healthcare provider/s and healthcare system involved in delivering the intervention.We found no difference between groups for all-cause mortality for patients with heart failure (16 studies; N = 5239; RR:0.89, 95% CI 0.76 to 1.03, P = 0.12; I(2) = 44%) (moderate to high certainty of evidence) at a median of six months follow-up. Admissions to hospital (11 studies; N = 4529) ranged from a decrease of 64% to an increase of 60% at median eight months follow-up (moderate certainty of evidence). We found some evidence of improved quality of life (five studies; N = 482; MD:-4.39, 95% CI -7.94 to -0.83; P < 0.02; I(2) = 0%) (moderate certainty of evidence) for those allocated to TM as compared with usual care at a median three months follow-up. In studies recruiting participants with diabetes (16 studies; N = 2768) we found lower glycated haemoglobin (HbA1c %) levels in those allocated to TM than in controls (MD -0.31, 95% CI -0.37 to -0.24; P < 0.00001; I(2)= 42%, P = 0.04) (high certainty of evidence) at a median of nine months follow-up. We found some evidence for a decrease in LDL (four studies, N = 1692; MD -12.45, 95% CI -14.23 to -10.68; P < 0.00001; I(2 =) 0%) (moderate certainty of evidence), and blood pressure (four studies, N = 1770: MD: SBP:-4.33, 95% CI -5.30 to -3.35, P < 0.00001; I(2) = 17%; DBP: -2.75 95% CI -3.28 to -2.22, P < 0.00001; I(2) = 45% (moderate certainty evidence), in TM as compared with usual care.Seven studies that recruited participants with different mental health and substance abuse problems, reported no differences in the effect of therapy delivered over video-conferencing, as compared to face-to-face delivery. Findings from the other studies were inconsistent; there was some evidence that monitoring via TM improved blood pressure control in participants with hypertension, and a few studies reported improved symptom scores for those with a respiratory condition. Studies recruiting participants requiring mental health services and those requiring specialist consultation for a dermatological condition reported no differences between groups. AUTHORS' CONCLUSIONS The findings in our review indicate that the use of TM in the management of heart failure appears to lead to similar health outcomes as face-to-face or telephone delivery of care; there is evidence that TM can improve the control of blood glucose in those with diabetes. The cost to a health service, and acceptability by patients and healthcare professionals, is not clear due to limited data reported for these outcomes. The effectiveness of TM may depend on a number of different factors, including those related to the study population e.g. the severity of the condition and the disease trajectory of the participants, the function of the intervention e.g., if it is used for monitoring a chronic condition, or to provide access to diagnostic services, as well as the healthcare provider and healthcare system involved in delivering the intervention.
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Affiliation(s)
- Gerd Flodgren
- Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Roosevelt Drive, Headington, Oxford, Oxfordshire, UK, OX3 7LF
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Flodgren G, Rachas A, Farmer AJ, Inzitari M, Shepperd S. Interactive telemedicine: effects on professional practice and health care outcomes. Cochrane Database Syst Rev 2015; 2015:CD002098. [PMID: 26343551 PMCID: PMC6473731 DOI: 10.1002/14651858.cd002098.pub2] [Citation(s) in RCA: 343] [Impact Index Per Article: 38.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
BACKGROUND Telemedicine (TM) is the use of telecommunication systems to deliver health care at a distance. It has the potential to improve patient health outcomes, access to health care and reduce healthcare costs. As TM applications continue to evolve it is important to understand the impact TM might have on patients, healthcare professionals and the organisation of care. OBJECTIVES To assess the effectiveness, acceptability and costs of interactive TM as an alternative to, or in addition to, usual care (i.e. face-to-face care, or telephone consultation). SEARCH METHODS We searched the Effective Practice and Organisation of Care (EPOC) Group's specialised register, CENTRAL, MEDLINE, EMBASE, five other databases and two trials registers to June 2013, together with reference checking, citation searching, handsearching and contact with study authors to identify additional studies. SELECTION CRITERIA We considered randomised controlled trials of interactive TM that involved direct patient-provider interaction and was delivered in addition to, or substituting for, usual care compared with usual care alone, to participants with any clinical condition. We excluded telephone only interventions and wholly automatic self-management TM interventions. DATA COLLECTION AND ANALYSIS For each condition, we pooled outcome data that were sufficiently homogenous using fixed effect meta-analysis. We reported risk ratios (RR) and 95% confidence intervals (CI) for dichotomous outcomes, and mean differences (MD) for continuous outcomes. MAIN RESULTS We included 93 eligible trials (N = 22,047 participants), which evaluated the effectiveness of interactive TM delivered in addition to (32% of studies), as an alternative to (57% of studies), or partly substituted for usual care (11%) as compared to usual care alone.The included studies recruited patients with the following clinical conditions: cardiovascular disease (36), diabetes (21), respiratory conditions (9), mental health or substance abuse conditions (7), conditions requiring a specialist consultation (6), co morbidities (3), urogenital conditions (3), neurological injuries and conditions (2), gastrointestinal conditions (2), neonatal conditions requiring specialist care (2), solid organ transplantation (1), and cancer (1).Telemedicine provided remote monitoring (55 studies), or real-time video-conferencing (38 studies), which was used either alone or in combination. The main TM function varied depending on clinical condition, but fell typically into one of the following six categories, with some overlap: i) monitoring of a chronic condition to detect early signs of deterioration and prompt treatment and advice, (41); ii) provision of treatment or rehabilitation (12), for example the delivery of cognitive behavioural therapy, or incontinence training; iii) education and advice for self-management (23), for example nurses delivering education to patients with diabetes or providing support to parents of very low birth weight infants or to patients with home parenteral nutrition; iv) specialist consultations for diagnosis and treatment decisions (8), v) real-time assessment of clinical status, for example post-operative assessment after minor operation or follow-up after solid organ transplantation (8) vi), screening, for angina (1).The type of data transmitted by the patient, the frequency of data transfer, (e.g. telephone, e-mail, SMS) and frequency of interactions between patient and healthcare provider varied across studies, as did the type of healthcare provider/s and healthcare system involved in delivering the intervention.We found no difference between groups for all-cause mortality for patients with heart failure (16 studies; N = 5239; RR:0.89, 95% CI 0.76 to 1.03, P = 0.12; I(2) = 44%) (moderate to high certainty of evidence) at a median of six months follow-up. Admissions to hospital (11 studies; N = 4529) ranged from a decrease of 64% to an increase of 60% at median eight months follow-up (moderate certainty of evidence). We found some evidence of improved quality of life (five studies; N = 482; MD:-4.39, 95% CI -7.94 to -0.83; P < 0.02; I(2) = 0%) (moderate certainty of evidence) for those allocated to TM as compared with usual care at a median three months follow-up. In studies recruiting participants with diabetes (16 studies; N = 2768) we found lower glycated haemoglobin (HbA1c %) levels in those allocated to TM than in controls (MD -0.31, 95% CI -0.37 to -0.24; P < 0.00001; I(2)= 42%, P = 0.04) (high certainty of evidence) at a median of nine months follow-up. We found some evidence for a decrease in LDL (four studies, N = 1692; MD -12.45, 95% CI -14.23 to -10.68; P < 0.00001; I(2 =) 0%) (moderate certainty of evidence), and blood pressure (four studies, N = 1770: MD: SBP:-4.33, 95% CI -5.30 to -3.35, P < 0.00001; I(2) = 17%; DBP: -2.75 95% CI -3.28 to -2.22, P < 0.00001; I(2) = 45% (moderate certainty evidence), in TM as compared with usual care.Seven studies that recruited participants with different mental health and substance abuse problems, reported no differences in the effect of therapy delivered over video-conferencing, as compared to face-to-face delivery. Findings from the other studies were inconsistent; there was some evidence that monitoring via TM improved blood pressure control in participants with hypertension, and a few studies reported improved symptom scores for those with a respiratory condition. Studies recruiting participants requiring mental health services and those requiring specialist consultation for a dermatological condition reported no differences between groups. AUTHORS' CONCLUSIONS The findings in our review indicate that the use of TM in the management of heart failure appears to lead to similar health outcomes as face-to-face or telephone delivery of care; there is evidence that TM can improve the control of blood glucose in those with diabetes. The cost to a health service, and acceptability by patients and healthcare professionals, is not clear due to limited data reported for these outcomes. The effectiveness of TM may depend on a number of different factors, including those related to the study population e.g. the severity of the condition and the disease trajectory of the participants, the function of the intervention e.g., if it is used for monitoring a chronic condition, or to provide access to diagnostic services, as well as the healthcare provider and healthcare system involved in delivering the intervention.
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Affiliation(s)
- Gerd Flodgren
- Norwegian Institute of Public HealthThe Norwegian Knowledge Centre for the Health ServicesPilestredet Park 7OsloNorway0176
| | - Antoine Rachas
- European Hospital Georges Pompidou and Paris Descartes UniversityDepartment of IT and Public Health20‐40 Rue leBlancParisFrance75908
| | - Andrew J Farmer
- University of OxfordNuffield Department of Primary Care Health SciencesRadcliffe Observatory Quarter, Walton StreetOxfordUKOX2 6GG
| | - Marco Inzitari
- Parc Sanitari Pere Virgili and Universitat Autònoma de BarcelonaDepartment of Healthcare/Medicinec Esteve Terrades 30BarcelonaSpain08023
| | - Sasha Shepperd
- University of OxfordNuffield Department of Population HealthRosemary Rue Building, Old Road CampusHeadingtonOxfordOxfordshireUKOX3 7LF
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Richter KP, Shireman TI, Ellerbeck EF, Cupertino AP, Catley D, Cox LS, Preacher KJ, Spaulding R, Mussulman LM, Nazir N, Hunt JJ, Lambart L. Comparative and cost effectiveness of telemedicine versus telephone counseling for smoking cessation. J Med Internet Res 2015; 17:e113. [PMID: 25956257 PMCID: PMC4468596 DOI: 10.2196/jmir.3975] [Citation(s) in RCA: 67] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2014] [Revised: 01/21/2015] [Accepted: 02/05/2015] [Indexed: 11/15/2022] Open
Abstract
Background In rural America, cigarette smoking is prevalent and health care providers lack the time and resources to help smokers quit. Telephone quitlines are important avenues for cessation services in rural areas, but they are poorly integrated with local health care resources. Objective The intent of the study was to assess the comparative effectiveness and cost effectiveness of two models for delivering expert tobacco treatment at a distance: telemedicine counseling that was integrated into smokers’ primary care clinics (Integrated Telemedicine—ITM) versus telephone counseling, similar to telephone quitline counseling, delivered to smokers in their homes (Phone). Methods Smokers (n=566) were recruited offline from 20 primary care and safety net clinics across Kansas. They were randomly assigned to receive 4 sessions of ITM or 4 sessions of Phone counseling. Patients in ITM received real-time video counseling, similar to Skype, delivered by computer/webcams in clinic exam rooms. Three full-time equivalent trained counselors delivered the counseling. The counseling duration and content was the same in both groups and was available in Spanish or English. Both groups also received identical materials and assistance in selecting and obtaining cessation medications. The primary outcome was verified 7-day point prevalence smoking abstinence at month 12, using an intent-to-treat analysis. Results There were no significant baseline differences between groups, and the trial achieved 88% follow-up at 12 months. Verified abstinence at 12 months did not significantly differ between ITM or Phone (9.8%, 27/280 vs 12%, 34/286; P=.406). Phone participants completed somewhat more counseling sessions than ITM (mean 2.6, SD 1.5 vs mean 2.4, SD 1.5; P=.0837); however, participants in ITM were significantly more likely to use cessation medications than participants in Phone (55.9%, 128/280 vs 46.1%, 107/286; P=.03). Compared to Phone participants, ITM participants were significantly more likely to recommend the program to a family member or friend (P=.0075). From the combined provider plus participant (societal) perspective, Phone was significantly less costly than ITM. Participants in ITM had to incur time and mileage costs to travel to clinics for ITM sessions. From the provider perspective, counseling costs were similar between ITM (US $45.46, SD 31.50) and Phone (US $49.58, SD 33.35); however, total provider costs varied widely depending on how the clinic space for delivering ITM was valued. Conclusions Findings did not support the superiority of ITM over telephone counseling for helping rural patients quit smoking. ITM increased utilization of cessation pharmacotherapy and produced higher participant satisfaction, but Phone counseling was significantly less expensive. Future interventions could combine elements of both approaches to optimize pharmacotherapy utilization, counseling adherence, and satisfaction. Such an approach could commence with a telemedicine-delivered clinic office visit for pharmacotherapy guidance, and continue with telephone or real-time video counseling delivered via mobile phones to flexibly deliver behavioral support to patients where they most need it—in their homes and communities. Trial Registration Clinicaltrials.gov NCT00843505; http://clinicaltrials.gov/ct2/show/NCT00843505 (Archived by WebCite at http://www.webcitation.org/6YKSinVZ9).
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Affiliation(s)
- Kimber P Richter
- University of Kansas Medical Center, Department of Preventive Medicine and Public Health, Kansas City, KS, United States.
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Duffy SA, Ewing LA, Louzon SA, Ronis DL, Jordan N, Harrod M. Evaluation and costs of volunteer telephone cessation follow-up counseling for Veteran smokers discharged from inpatient units: a quasi-experimental, mixed methods study. Tob Induc Dis 2015; 13:4. [PMID: 25674045 PMCID: PMC4324430 DOI: 10.1186/s12971-015-0028-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2014] [Accepted: 01/10/2015] [Indexed: 11/21/2022] Open
Abstract
Background The Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework was used to evaluate the volunteer telephone smoking cessation counseling follow-up program implemented as part of the inpatient Tobacco Tactics intervention in a Veterans Affairs (VA) hospital. Methods This was a quasi-experimental, mixed methods design that collected data through electronic medical records (EMR), observations of telephone smoking cessation counseling calls, interviews with staff and Veterans involved in the program, and intervention costs. Results Reach: Of the 131 Veterans referred to the smoking cessation telephone follow-up program, 19% were reached 0–1 times, while 81% were reached 2–4 times. Effectiveness: Seven-day point-prevalence 60-day quit rates (abstracted from the EMR) for those who were reached 2–4 times were 26%, compared to 8% among those who were reached 0–1 times (p = 0.06). Sixty-day 24-hour point-prevalence quit rates were 33% for those reached 2–4 times, compared to 4% of those reached 0–1 times (p < 0.01). Adoption and Implementation: The volunteers correctly followed protocol and were enthusiastic about performing the calls. Veterans who were interviewed reported positive comments about the calls. The cost to the hospital was $21 per participating Veteran, and the cost per quit was $92. Maintenance: There was short-term maintenance (about 1 year), but the program was not sustainable long term. Conclusions Quit rates were higher among those Veterans that had greater participation in the calls. Joint Commission standards for inpatient smoking with follow-up calls are voluntary, but should these standards become mandatory, there may be more motivation for VA administration to institute a hospital-based, volunteer telephone smoking cessation follow-up program. Trial registration ClinicalTrials.Gov NCT01359371.
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Affiliation(s)
- Sonia A Duffy
- Ohio State University, College of Nursing, Columbus, USA ; Ann Arbor VA Center for Clinical Management Research, Health Services Research and Development, P.O. Box 130170, Ann Arbor, MI 48113-0170 USA ; University of Michigan, Department of Psychiatry, Ann Arbor, USA
| | - Lee A Ewing
- Ann Arbor VA Center for Clinical Management Research, Health Services Research and Development, P.O. Box 130170, Ann Arbor, MI 48113-0170 USA
| | - Samantha A Louzon
- Ann Arbor VA Center for Clinical Management Research, Health Services Research and Development, P.O. Box 130170, Ann Arbor, MI 48113-0170 USA
| | - David L Ronis
- University of Michigan, School of Nursing, Ann Arbor, USA
| | - Neil Jordan
- Center of Innovation for Complex Chronic Healthcare, Hines VA Hospital, Hines, USA ; Center for Healthcare Studies and Departments of Psychiatry & Behavioral Sciences and Preventive Medicine, Northwestern University, Feinberg School of Medicine, Chicago, USA
| | - Molly Harrod
- Ann Arbor VA Center for Clinical Management Research, Health Services Research and Development, P.O. Box 130170, Ann Arbor, MI 48113-0170 USA
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'Better Health Choices' by telephone: a feasibility trial of improving diet and physical activity in people diagnosed with psychotic disorders. Psychiatry Res 2014; 220:63-70. [PMID: 25078563 DOI: 10.1016/j.psychres.2014.06.035] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/10/2013] [Revised: 06/17/2014] [Accepted: 06/21/2014] [Indexed: 11/23/2022]
Abstract
The study objective was to evaluate the feasibility of a telephone delivered intervention consisting of motivational interviewing and cognitive behavioural strategies aimed at improving diet and physical activity in people diagnosed with psychotic disorders. Twenty participants diagnosed with a non-acute psychotic disorder were recruited. The intervention consisted of eight telephone delivered sessions targeting fruit and vegetable (F&V) consumption and leisure screen time, as well as smoking and alcohol use (as appropriate). F&V frequency and variety, and overall diet quality (measured by the Australian Recommended Food Score, ARFS), leisure screen time, overall sitting and walking time, smoking, alcohol consumption, mood, quality of life, and global functioning were examined before and 4-weeks post-treatment. Nineteen participants (95%) completed all intervention sessions, and 17 (85%) completed follow-up assessments. Significant increases from baseline to post-treatment were seen in ARFS fruit, vegetable and overall diet quality scores, quality of life and global functioning. Significant reductions in leisure screen time and overall sitting time were also seen. Results indicated that a telephone delivered intervention targeting key cardiovascular disease risk behaviours appears to be feasible and relatively effective in the short-term for people diagnosed with psychosis. A randomized controlled trial is warranted to replicate and extend these findings.
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Abstract
BACKGROUND Telephone services can provide information and support for smokers. Counselling may be provided proactively or offered reactively to callers to smoking cessation helplines. OBJECTIVES To evaluate the effect of proactive and reactive telephone support via helplines and in other settings to help smokers quit. SEARCH METHODS We searched the Cochrane Tobacco Addiction Group Specialised Register for studies of telephone counselling, using search terms including 'hotlines' or 'quitline' or 'helpline'. Date of the most recent search: May 2013. SELECTION CRITERIA randomized or quasi-randomised controlled trials in which proactive or reactive telephone counselling to assist smoking cessation was offered to smokers or recent quitters. DATA COLLECTION AND ANALYSIS One author identified and data extracted trials, and a second author checked them. The main outcome measure was the risk ratio for abstinence from smoking after at least six months follow-up. We selected the strictest measure of abstinence, using biochemically validated rates where available. We considered participants lost to follow-up to be continuing smokers. Where trials had more than one arm with a less intensive intervention we used only the most similar intervention without the telephone component as the control group in the primary analysis. We assessed statistical heterogeneity amongst subgroups of clinically comparable studies using the I² statistic. We considered trials recruiting callers to quitlines separately from studies recruiting in other settings. Where appropriate, we pooled studies using a fixed-effect model. We used a meta-regression to investigate the effect of differences in planned number of calls, selection for motivation, and the nature of the control condition (self help only, minimal intervention, pharmacotherapy) in the group of studies recruiting in non-quitline settings. MAIN RESULTS Seventy-seven trials met the inclusion criteria. Some trials were judged to be at risk of bias in some domains but overall we did not judge the results to be at high risk of bias. Among smokers who contacted helplines, quit rates were higher for groups randomized to receive multiple sessions of proactive counselling (nine studies, > 24,000 participants, risk ratio (RR) for cessation at longest follow-up 1.37, 95% confidence interval (CI) 1.26 to 1.50). There was mixed evidence about whether increasing the number of calls altered quit rates but most trials used more than two calls. Three studies comparing different counselling approaches during a single quitline contact did not detect significant differences. Of three studies that tested the provision of access to a hotline two detected a significant benefit and one did not.Telephone counselling not initiated by calls to helplines also increased quitting (51 studies, > 30,000 participants, RR 1.27; 95% CI 1.20 to 1.36). In a meta-regression controlling for other factors the effect was estimated to be slightly larger if more calls were offered, and in trials that specifically recruited smokers motivated to try to quit. The relative extra benefit of counselling was smaller when it was provided in addition to pharmacotherapy (usually nicotine replacement therapy) than when the control group only received self-help material or a brief intervention.A further eight studies were too diverse to contribute to meta-analyses and are discussed separately. Two compared different intensities of counselling, both of which detected a dose response; one of these detected a benefit of multiple counselling sessions over a single call for people prescribed bupropion. The others tested a variety of interventions largely involving offering telephone counselling as part of a referral or systems change and none detected evidence of effect. AUTHORS' CONCLUSIONS Proactive telephone counselling aids smokers who seek help from quitlines. Telephone quitlines provide an important route of access to support for smokers, and call-back counselling enhances their usefulness. There is limited evidence about the optimal number of calls. Proactive telephone counselling also helps people who receive it in other settings. There is some evidence of a dose response; one or two brief calls are less likely to provide a measurable benefit. Three or more calls increase the chances of quitting compared to a minimal intervention such as providing standard self-help materials, or brief advice, or compared to pharmacotherapy alone.
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Affiliation(s)
- Lindsay F Stead
- Department of Primary Care Health Sciences, University of Oxford, Radcliffe Observatory Quarter, Woodstock Road, Oxford, UK, OX2 6GG
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A modeled analysis of telehealth methods for treating pressure ulcers after spinal cord injury. Int J Telemed Appl 2012; 2012:729492. [PMID: 22969798 PMCID: PMC3434391 DOI: 10.1155/2012/729492] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2012] [Accepted: 07/12/2012] [Indexed: 11/17/2022] Open
Abstract
Home telehealth can improve clinical outcomes for conditions that are common among patients with spinal cord injury (SCI). However, little is known about the costs and potential savings associated with its use. We developed clinical scenarios that describe common situations in treatment or prevention of pressure ulcers. We calculated the cost implications of using telehealth for each scenario and under a range of reasonable assumptions. Data were gathered primarily from US Department of Veterans Affairs (VA) administrative records. For each scenario and treatment method, we multiplied probabilities, frequencies, and costs to determine the expected cost over the entire treatment period. We generated low-, medium-, and high-cost estimates based on reasonable ranges of costs and probabilities. Telehealth care was less expensive than standard care when low-cost technology was used but often more expensive when high-cost, interactive devices were installed in the patient's home. Increased utilization of telehealth technology (particularly among rural veterans with SCI) could reduce the incidence of stage III and stage IV ulcers, thereby improving veterans' health and quality of care without increasing costs. Future prospective studies of our present scenarios using patients with various healthcare challenges are recommended.
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