2
|
McMillan A, Bratton DJ, Faria R, Laskawiec-Szkonter M, Griffin S, Davies RJ, Nunn AJ, Stradling JR, Riha RL, Morrell MJ. A multicentre randomised controlled trial and economic evaluation of continuous positive airway pressure for the treatment of obstructive sleep apnoea syndrome in older people: PREDICT. Health Technol Assess 2016; 19:1-188. [PMID: 26063688 DOI: 10.3310/hta19400] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023] Open
Abstract
BACKGROUND The therapeutic and economic benefits of continuous positive airway pressure (CPAP) for the treatment of obstructive sleep apnoea syndrome (OSAS) have been established in middle-aged people. In older people there is a lack of evidence. OBJECTIVE To determine the clinical efficacy of CPAP in older people with OSAS and to establish its cost-effectiveness. DESIGN A randomised, parallel, investigator-blinded multicentre trial with within-trial and model-based cost-effectiveness analysis. METHODS Two hundred and seventy-eight patients, aged ≥ 65 years with newly diagnosed OSAS [defined as oxygen desaturation index at ≥ 4% desaturation threshold level for > 7.5 events/hour and Epworth Sleepiness Scale (ESS) score of ≥ 9] recruited from 14 hospital-based sleep services across the UK. INTERVENTIONS CPAP with best supportive care (BSC) or BSC alone. Autotitrating CPAP was initiated using standard clinical practice. BSC was structured advice on minimising sleepiness. COPRIMARY OUTCOMES Subjective sleepiness at 3 months, as measured by the ESS (ESS mean score: months 3 and 4) and cost-effectiveness over 12 months, as measured in quality-adjusted life-years (QALYs) calculated using the European Quality of Life-5 Dimensions (EQ-5D) and health-care resource use, information on which was collected monthly from patient diaries. SECONDARY OUTCOMES Subjective sleepiness at 12 months (ESS mean score: months 10, 11 and 12) and objective sleepiness, disease-specific and generic quality of life, mood, functionality, nocturia, mobility, accidents, cognitive function, cardiovascular risk factors and events at 3 and 12 months. RESULTS Two hundred and seventy-eight patients were randomised to CPAP (n = 140) or BSC (n = 138) over 27 months and 231 (83%) patients completed the trial. Baseline ESS score was similar in both groups [mean (standard deviation; SD) CPAP 11.5 (3.3), BSC 11.4 (4.2)]; groups were well balanced for other characteristics. The mean (SD) in ESS score at 3 months was -3.8 (0.4) in the CPAP group and -1.6 (0.3) in the BSC group. The adjusted treatment effect of CPAP compared with BSC was -2.1 points [95% confidence interval (CI) -3.0 to -1.3 points; p < 0.001]. At 12 months the effect was -2.0 points (95% CI -2.8 to -1.2 points; p < 0.001). The effect was greater in patients with increased CPAP use or higher baseline ESS score. The number of QALYs calculated using the EQ-5D was marginally (0.005) higher with CPAP than with BSC (95% CI -0.034 to 0.044). The average cost per patient was £1363 (95% CI £1121 to £1606) for those allocated to CPAP and £1389 (95% CI £1116 to £1662) for those allocated to BSC. On average, costs were lower in the CPAP group (mean -£35; 95% CI -£390 to £321). The probability that CPAP was cost-effective at thresholds conventionally used by the NHS (£20,000 per QALY gained) was 0.61. QALYs calculated using the Short Form questionnaire-6 Dimensions were 0.018 higher in the CPAP group (95% CI 0.003 to 0.034 QALYs) and the probability that CPAP was cost-effective was 0.96. CPAP decreased objective sleepiness (p = 0.02), increased mobility (p = 0.03) and reduced total and low-density lipoprotein cholesterol (p = 0.05, p = 0.04, respectively) at 3 months but not at 12 months. In the BSC group, there was a fall in systolic blood pressure of 3.7 mmHg at 12 months, which was not seen in the CPAP group (p = 0.04). Mood, functionality, nocturia, accidents, cognitive function and cardiovascular events were unchanged. There were no medically significant harms attributable to CPAP. CONCLUSION In older people with OSAS, CPAP reduces sleepiness and is marginally more cost-effective than BSC over 12 months. Further work is required in the identification of potential biomarkers of sleepiness and those patients at increased risk of cognitive impairment. Early detection of which could be used to inform the clinician when in the disease cycle treatment is needed to avert central nervous system sequelae and to assist patients decision-making regarding treatment and compliance. Treatment adherence is also a challenge in clinical trials generally, and adherence to CPAP therapy in particular is a recognised concern in both research studies and clinical practice. Suggested research priorities would include a focus on optimisation of CPAP delivery or support and embracing the technological advances currently available. Finally, the improvements in quality of life in trials do not appear to reflect the dramatic changes noted in clinical practice. There should be a greater focus on patient centred outcomes which would better capture the symptomatic improvement with CPAP treatment and translate these improvements into outcomes which could be used in health economic analysis. TRIAL REGISTRATION Current Controlled Trials ISRCTN90464927. FUNDING This project was funded by the National Institute for Health Research (NIHR) Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 19, No. 40. See the NIHR Journals Library website for further project information.
Collapse
Affiliation(s)
- Alison McMillan
- Academic Unit of Sleep and Ventilation, National Heart and Lung Institute, Imperial College, London, UK
| | - Daniel J Bratton
- Medical Research Council Clinical Trials Unit, University College London, London, UK
| | - Rita Faria
- Centre for Health Economics, University of York, York, UK
| | | | - Susan Griffin
- Oxford University and Oxford Biomedical Research Centre, Churchill Hospital, Oxford, UK
| | - Robert J Davies
- Oxford Respiratory Trials Unit, University of Oxford, Churchill Hospital, Oxford, UK
| | - Andrew J Nunn
- Medical Research Council Clinical Trials Unit, University College London, London, UK
| | - John R Stradling
- Oxford Respiratory Trials Unit, University of Oxford, Churchill Hospital, Oxford, UK
| | - Renata L Riha
- Department of Sleep Medicine, Royal Infirmary of Edinburgh, Edinburgh, UK
| | - Mary J Morrell
- Academic Unit of Sleep and Ventilation, National Heart and Lung Institute, Imperial College, London, UK
| |
Collapse
|
3
|
Trenaman L, Sadatsafavi M, Almeida F, Ayas N, Lynd L, Marra C, Stacey D, Bansback N. Exploring the Potential Cost-Effectiveness of Patient Decision Aids for Use in Adults with Obstructive Sleep Apnea. Med Decis Making 2014; 35:671-82. [DOI: 10.1177/0272989x14556676] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2014] [Accepted: 09/26/2014] [Indexed: 11/16/2022]
Abstract
Background. There is increasing evidence highlighting the effectiveness of patient decision aids (PtDAs), but evidence supporting their cost-effectiveness is lacking. We consider patients with obstructive sleep apnea (OSA), in whom a PtDA may decrease nonadherence to treatment by empowering patients to receive the option that is most congruent with their own values. Objective. To determine the potential costs and benefits of delivering a PtDA to patients with moderate OSA. Methods. A Markov cohort decision-analytic model was developed for patients with moderate OSA, comparing a PtDA to usual care over 5 years from a societal perspective. Data for patient preference for treatment options was taken from a recent randomized crossover trial, event data (cardiovascular, motor vehicle accidents) came from national databases and published literature. Potential improvements in adherence are unknown, so we considered a realistic range of values. Outcome measures were 5-year costs (in 2010 Canadian dollars), quality-adjusted life years (QALYs), and the incremental cost-effectiveness ratio (ICER). Results. When adherence to treatment was unchanged, the PtDA strategy was dominated by incurring lower QALYs and higher costs. When nonadherence was decreased by 20% in the PtDA arm (corresponding to an increase in adherence from 63% to 70% for continuous positive airway pressure and from 77% to 82% for mandibular advancement splints in year 1), the ICER fell to $62,414/QALY. Costs associated with the treatment devices and delivering the PtDA had the greatest effect on cost-effectiveness. Limitations. The model relies on surrogate measures and opinions for key parameters. Conclusions: The cost-effectiveness of PtDAs will depend on contextual factors, but a framework is described for properly considering their long-term cost-effectiveness. A number of important questions around the appropriateness of benefit measurement for PtDA trials are highlighted.
Collapse
Affiliation(s)
- Logan Trenaman
- School of Population and Public Health, University of British Columbia, Vancouver, Canada (LT,NB)
- Center for Clinical Epidemiology and Evaluation, Vancouver Coastal Health Research Institute, Vancouver, Canada (LT, MS, NA, NB)
- Centre for Health Evaluation and Outcome Sciences, St. Paul’s Hospital, University of British Columbia, Vancouver, Canada (LT, NA, LL, CM, NB)
- Ottawa Hospital Research Institute, Ottawa, Canada (LT, DS)
- Collaboration for Outcomes Research and Evaluations, Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, Canada (MS, LL, CM)
| | - Mohsen Sadatsafavi
- School of Population and Public Health, University of British Columbia, Vancouver, Canada (LT,NB)
- Center for Clinical Epidemiology and Evaluation, Vancouver Coastal Health Research Institute, Vancouver, Canada (LT, MS, NA, NB)
- Centre for Health Evaluation and Outcome Sciences, St. Paul’s Hospital, University of British Columbia, Vancouver, Canada (LT, NA, LL, CM, NB)
- Ottawa Hospital Research Institute, Ottawa, Canada (LT, DS)
- Collaboration for Outcomes Research and Evaluations, Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, Canada (MS, LL, CM)
| | - Fernanda Almeida
- School of Population and Public Health, University of British Columbia, Vancouver, Canada (LT,NB)
- Center for Clinical Epidemiology and Evaluation, Vancouver Coastal Health Research Institute, Vancouver, Canada (LT, MS, NA, NB)
- Centre for Health Evaluation and Outcome Sciences, St. Paul’s Hospital, University of British Columbia, Vancouver, Canada (LT, NA, LL, CM, NB)
- Ottawa Hospital Research Institute, Ottawa, Canada (LT, DS)
- Collaboration for Outcomes Research and Evaluations, Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, Canada (MS, LL, CM)
| | - Najib Ayas
- School of Population and Public Health, University of British Columbia, Vancouver, Canada (LT,NB)
- Center for Clinical Epidemiology and Evaluation, Vancouver Coastal Health Research Institute, Vancouver, Canada (LT, MS, NA, NB)
- Centre for Health Evaluation and Outcome Sciences, St. Paul’s Hospital, University of British Columbia, Vancouver, Canada (LT, NA, LL, CM, NB)
- Ottawa Hospital Research Institute, Ottawa, Canada (LT, DS)
- Collaboration for Outcomes Research and Evaluations, Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, Canada (MS, LL, CM)
| | - Larry Lynd
- School of Population and Public Health, University of British Columbia, Vancouver, Canada (LT,NB)
- Center for Clinical Epidemiology and Evaluation, Vancouver Coastal Health Research Institute, Vancouver, Canada (LT, MS, NA, NB)
- Centre for Health Evaluation and Outcome Sciences, St. Paul’s Hospital, University of British Columbia, Vancouver, Canada (LT, NA, LL, CM, NB)
- Ottawa Hospital Research Institute, Ottawa, Canada (LT, DS)
- Collaboration for Outcomes Research and Evaluations, Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, Canada (MS, LL, CM)
| | - Carlo Marra
- School of Population and Public Health, University of British Columbia, Vancouver, Canada (LT,NB)
- Center for Clinical Epidemiology and Evaluation, Vancouver Coastal Health Research Institute, Vancouver, Canada (LT, MS, NA, NB)
- Centre for Health Evaluation and Outcome Sciences, St. Paul’s Hospital, University of British Columbia, Vancouver, Canada (LT, NA, LL, CM, NB)
- Ottawa Hospital Research Institute, Ottawa, Canada (LT, DS)
- Collaboration for Outcomes Research and Evaluations, Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, Canada (MS, LL, CM)
| | - Dawn Stacey
- School of Population and Public Health, University of British Columbia, Vancouver, Canada (LT,NB)
- Center for Clinical Epidemiology and Evaluation, Vancouver Coastal Health Research Institute, Vancouver, Canada (LT, MS, NA, NB)
- Centre for Health Evaluation and Outcome Sciences, St. Paul’s Hospital, University of British Columbia, Vancouver, Canada (LT, NA, LL, CM, NB)
- Ottawa Hospital Research Institute, Ottawa, Canada (LT, DS)
- Collaboration for Outcomes Research and Evaluations, Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, Canada (MS, LL, CM)
| | - Nick Bansback
- School of Population and Public Health, University of British Columbia, Vancouver, Canada (LT,NB)
- Center for Clinical Epidemiology and Evaluation, Vancouver Coastal Health Research Institute, Vancouver, Canada (LT, MS, NA, NB)
- Centre for Health Evaluation and Outcome Sciences, St. Paul’s Hospital, University of British Columbia, Vancouver, Canada (LT, NA, LL, CM, NB)
- Ottawa Hospital Research Institute, Ottawa, Canada (LT, DS)
- Collaboration for Outcomes Research and Evaluations, Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, Canada (MS, LL, CM)
| |
Collapse
|
13
|
Ko CY, Maggard M, Livingston EH. Evaluating health utility in patients with melanoma, breast cancer, colon cancer, and lung cancer: a nationwide, population-based assessment. J Surg Res 2003; 114:1-5. [PMID: 13678691 DOI: 10.1016/s0022-4804(03)00167-7] [Citation(s) in RCA: 65] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
BACKGROUND Understanding the quality of life and health utility for cancer survivors is important; however, little data are available-particularly for long-term (>5 year) survivors. Using "health utility" scores as a proxy for quality of life may be advantageous because it is a single value. Utility scores range from 1.0 (perfect health) to 0 (death), and have been shown to be a good numerical summary of overall quality of life. Using a validated instrument for health utility (HALex), we calculated and report the scores of four different surgical cancers at multiple periods of follow-up, ranging from <1 year to >5 years after diagnosis. METHODS Patients diagnosed with either breast, colon, melanoma, or lung cancer were studied using the 1998 National Health Information Survey. Responses to several validated questions were collected and health utility scores were calculated. Different time periods were measured; acute (<1 year), short term (1-5 years), and long term (>5 years). Once a single health utility score was calculated, multivariate analyses were performed to identify important predictors of better versus worse health utility scores. RESULTS The total sample size was 692 (breast 377, colon 169, melanoma 92, lung 54). Mean ages at diagnosis for the cancer groups were 56, 61, 52, and 60 years, respectively. The mean health utility scores in the acute period after diagnosis were: breast 0.62, colon 0.67, melanoma 0.73, and lung 0.42. In this acute period, the mean utility score for lung cancer survivors was statistically lower versus the others in the acute period (P < 0.001). Although variable trends were noted in the short-term period, all cancers demonstrated an increase in mean scores in the long-term period; the percent increases were: breast 15% (P = 0.01), colon 12%, melanoma 7%, and lung 47%. Multivariate regression analyses identified important associations of health utility scores. Significant predictors of lower health utility included the presence of pain and the presence of co-existent diseases, most commonly joint problems, cardiovascular disease, and diabetes. CONCLUSIONS For four surgical cancers in three time periods after diagnosis, health utility scores were lowest immediately after treatment and improved over time. Long-term (>5 year) survivors had the highest scores. Additionally, our analyses show that a part of health utility in this cohort is determined by the presence of pain and co-existent diseases, which are often items that can be improved by quality clinical care.
Collapse
Affiliation(s)
- Clifford Y Ko
- UCLA Department of Surgery, Los Angeles, California 90095, USA.
| | | | | |
Collapse
|