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Health status, quality of life, and satisfaction of patients awaiting multidisciplinary bariatric care
© Padwal et al.; licensee BioMed Central Ltd. 2012
- Received: 13 September 2011
- Accepted: 16 May 2012
- Published: 8 June 2012
Protracted, multi-year wait times exist for bariatric care in Canada. Our objective was to examine wait-listed patients’ health status and perceptions regarding the consequences of prolonged wait times using a cross-sectional study design nested within a prospective cohort.
150 consecutive consenting subjects wait-listed for multi-disciplinary bariatric assessment in a population-based medical/surgical bariatric program were surveyed. Health status was measured using a visual analogue scale (VAS). A Waiting List Impact Questionnaire (WLIQ) examined employment, physical stress, social support, frustration, quality of life, and satisfaction with care. Multivariable linear regression analysis adjusted for age, sex and BMI identified independent predictors of lower VAS scores.
136 (91%) subjects were women, mean age was 43 years (SD 9), mean BMI was 49.4 (SD 8.3) kg/m2 and average time wait-listed was 64 days (SD 76). The mean VAS score was 53/100 (SD 22). According to the WLIQ, 47% of subjects agreed/strongly agreed that waiting affected their quality of life, 65% described wait times as ‘concerning’ and 81% as ‘frustrating’. 86% reported worsening of physical symptoms over time. Nevertheless, only 31% were dissatisfied/very dissatisfied with their overall medical care. Independent predictors of lower VAS scores were higher BMI (beta coefficient 0.42; p = 0.03), unemployment (13.7; p = 0.01) and depression (10.3; p = 0.003).
Patients wait-listed for bariatric care self-reported very impaired health status and other adverse consequences, attributing these to protracted waits. These data may help benchmark the level of health impairment in this population, understand the physical and mental toll of waiting, and assist with wait list management.
- Bariatric care
- Wait list
- Health services research
Morbid obesity (defined herein as a body mass index [BMI] of ≥ 35 kg/m2) affects 8.9% of Canadians and has tripled in prevalence from 1978-79 to 2007-09 [1, 2]. Premature mortality, obesity-related comorbidity, diminished quality of life and higher health care costs are more likely to afflict morbidly obese individuals compared to their normal weight counterparts [3, 4]. Managing the complications and encouraging treatment of obesity has become a major priority and a public health concern.
Current clinical practice guidelines emphasize the complex, chronic nature of obesity and stress the importance of lifelong, sustainable lifestyle change [5, 6]. They also identify a multidisciplinary approach to the assessment and management of obese individuals as the most effective and the preferred treatment approach [5, 6]. Medical therapy consists primarily of intensive lifestyle modification (diet, exercise and behavioural modification counselling) and is recommended for all obese individuals, including those that are morbidly obese [5, 6]. Accordingly, broad multidisciplinary team expertise in medicine, nutrition, physical activity and mental health is required to optimally deliver lifestyle modification . In addition, according to these guidelines, bariatric surgery should be considered in patients refractory to non-surgical therapy who have either severe obesity (BMI ≥40 kg/m2) or moderate obesity (BMI 35.0-39.9 kg/m2) and a major obesity related comorbidity (e.g., hypertension, sleep apnea, diabetes) [6, 7].
Weight management interventions are infrequently delivered in the primary care setting, and providers cite several reasons for this including a lack of training to deliver weight management interventions, a lack of access to multidisciplinary allied health team support and a relative paucity of effective interventions . Comprehensive multidisciplinary medical and surgical obesity bariatric care within Canada’s publicly funded health care system is thus usually delivered by multidisciplinary bariatric specialty clinics. However, access to such care is limited because of high demand, limited capacity, lengthy wait lists and protracted, multiyear wait times . For example, estimated wait times for surgery in Canada average 5 years  and wait times for the medical and surgical bariatric care of morbidly obese individuals within a regional program in Alberta, Canada average 2-3 years . In both Canada and England, well under 1% of potentially eligible individuals received bariatric surgery in 2009-10 [7, 9, 11]. UK bariatric surgeons have characterized access in their country as ‘inconsistent, unethical and completely dependent upon geographic location’ and some primary care trusts within the UK appear to be limiting surgeries to patients with BMI levels above 50 kg/m2 in an attempt to ration the number of procedures performed and reduce wait list volumes [7, 12, 13]. In stark contrast to the wait times experienced by bariatric patients, benchmark wait times for other elective surgeries in Canada such as orthopedic procedures, coronary bypass and cataract removal are ≤16 weeks . In 80% of cases, Canadians are receiving these procedures within benchmark times .
Medical and surgical treatments for obesity can reduce weight and medical comorbidity and improve health-related quality of life (QOL); improvements in these outcomes are especially large following surgery [15–18]. Thus, lengthy wait times are widely considered by bariatric specialists to be detrimental to physical and mental health . However to our knowledge no prior study has assessed patients’ perspectives on this matter, and data examining health status and patients’ views regarding the impact and consequences of waiting are nonexistent. The purpose of this study was to assess these patient-reported or humanistic outcomes in a representative sample of patients wait-listed for a bariatric (i.e., medical and surgical) care in a population based regional obesity program.
Subjects and setting
One hundred and fifty consecutive consenting adult (age ≥18 years) subjects wait-listed for assessment in the Edmonton Weight Wise Clinic were surveyed. Edmonton Weight Wise is a regional obesity program established 2005 to deliver integrated, patient-focused, evidence-based care to the Edmonton Zone of Alberta Health Services (AHS) . The Edmonton Zone is one of the largest integrated health delivery regions in Canada, serving a catchment population of approximately 1.6 million residents within greater Edmonton. Weight Wise consists of a central, region-wide, single-point-of-access referral system; community education and weight management sessions; and adult and pediatric bariatric specialty clinics. The adult specialty clinic provides both medical and surgical treatment to practitioner-referred patients 18 years of age or greater with BMI levels of 35 kg/m2 or greater who have been unsuccessful with prior attempts at managing chronic obesity. Approximately 800 new referrals are seen and approximately 200 bariatric surgeries are performed annually. We estimate that over 125 000 adult patients within the Weight Wise catchment area have a BMI ≥ 35 kg/m2.
The 150 subjects included in the present analysis comprise the wait-list arm of the Alberta Population-based Prospective Evaluation of the Quality of Life Outcomes and Economic Impact of Bariatric Surgery (APPLES) study. Details with respect to this study, including technical appendices, have been previously published . In summary, APPLES is a 500-patient, population-based, two-year prospective controlled study designed to assess the impact of extended wait-times for bariatric care and examine the clinical and cost-effectiveness of bariatric treatment in the Canadian context. In APPLES, 150 bariatric surgery subjects, 200 medical subjects and 150 wait-listed subjects were enrolled in consecutive fashion between January 2009-February 2010. At the time of interview and data collection, wait-listed subjects were facing wait times of approximately 2-3 years before their initial assessment in the adult clinic.
Outcomes are reported in the entire 150-patient wait-listed sample and in the subgroup of subjects indicating a ‘strong’ or ‘very strong’ interest in undergoing bariatric surgery (n = 96) to facilitate generalizability to programs in which patients are wait-listed for both surgical and medical bariatric care, as well as primarily surgical treatment.
The University of Alberta Research Ethics Board approved this study and informed consent was obtained from all subjects.
Data collection and measurements
The medical care I have been receiving is just about perfect
I am dissatisfied with some things about the medical care I received.
The Waiting List Impact Questionnaire (WLIQ) , adapted from a study of wait times for coronary revascularization was administered to assess the perceived impact of protracted wait times on health status. The WLIQ originally consisted of a series of 47 statements identified through an open-ended patient interview process, each scored using a 5-point Likert scale, that examined the impact of waiting on 5 domains (employment, physical stress, social support, frustration and quality of life). Seven cardiac surgery-specific items deemed not relevant to the bariatric setting were eliminated . One statement that assessed the subject’s degree of interest in bariatric surgery was incorporated in with the remaining 39 items constituted the 40-item WLIQ used herein; the modified WLIQ questionnaire has been previously published in its entirety .
We collected basic sociodemographic information and clinical data at the time of program intake (i.e., soon after they were wait-listed). Subjects with a history of hypertension, blood pressure levels of greater than 140/90 mm Hg at the baseline visit , or subjects receiving antihypertensive drug treatment were considered hypertensive. Patients with a history of type 2 diabetes, on treatment with antidiabetic medications or who had a single fasting glucose measurement of 7.0 mmol/L or greater were classified with diabetes. Depression was diagnosed based upon a self-reported history or treatment with antidepressant medications. The presence of all other comorbidities was determined by self-report.
Descriptive analyses, consisting of means, medians, and proportions were conducted. For ease of presentation, responses to the WLIQ and patient satisfaction items were collapsed from five categories into three – strongly agree/agree, neutral and disagree/strongly disagree.
All patients (n = 150)
Subgroup Interested in Surgery (n = 96)
Mean or No. (SD or %)
Mean or No. (SD or %)
Mean age (years)
Body Mass Index (kg/m2)
Time on Wait List (days)
No high school
Some high school
High school diploma
Less than $15 000
$15 000 – 29 999
$30 000 – 49 999
$50 000 – 79 999
$80 000 or greater
Type 2 Diabetes
Coronary Artery Disease
Peripheral Vascular Disease
Congestive Heart Failure
Polycystic Ovarian Syndrome
The pre-defined sample size of 150 was reached after 425 subjects had been telephoned (overall response rate 35%). The 275 subjects that did not participate had demographic characteristics similar to the respondents. 240 (89%) were female, with a mean age of 42.9 (SD 9.3) years and a mean BMI of 47.2 kg/m2 (SD 7.1).
Baseline sociodemographic characteristics of the participants are detailed in Table 1. The mean number of days on the wait list at the time of survey was 64 (SD 76).
Overall health status
Linear Regression Analysis Examining Predictors of the Visual Analogue Scale (n = 150)*
Body mass index (kg/m2)
Time on Waitlist (days)
Smoker (former or current)
Married or common law (vs. all other categories)
Post-secondary graduate (vs. all other education levels)
Low income, ≤$30, 000 (vs. all other income categories)
Employed full or part-time (vs. all other categories)
Type 2 diabetes
Coronary artery disease
Polycystic ovarian syndrome
Waiting list impact questionnaire
Waiting List Impact Questionnaire Results
No. of Patients With Response (%)
All patients (n = 150)
Subgroup Interested in Surgery (n = 96)
Quality of Life
I have no control over the situation
I just want to get it over with
Waiting has affected my quality of life
The length of waiting is a big concern
It is very stressful waiting for obesity treatment
My life has been put on hold while I wait for obesity treatment
Waiting costs you physically, mentally and financially
I am anxious and worried about treatment
There is no quality of life while waiting for treatment
Because of my weight problem, I am unable to work
Because of my weight problem, I can’t work a full shift
Money is a great issue for me now
I make sure I don’t overdo things
Physical activities take me longer now
My activity is reduced because of my obesity
I can’t do many of the things I used to do
I am very short of breath
I have angina
The rest of my body is suffering because of my weight condition
My symptoms are getting worse
I am feeling fine now
I’m not sure what activity I can do without hurting my condition
I’ve stopped smoking recently
My family and friends are very patient and supportive
I try to cope
I have faith in the doctors
Waiting is very tough on my family and friends
I would attend a support group for people with obesity
A big factor is the lack of communication in the system
I would attend a class to learn more about obesity
It frustrates me that I have to wait for obesity treatment
I worry about what might happen while waiting (e.g. worsening symptoms, heart attack, death)
I’m frustrated with the allocation of resources
The problem with the waiting list is the allocation of resources
I am mad and upset about the wait
I am scared of treatment for obesity
I am afraid to go away from the phone for too long in case I miss a call for obesity treatment
The waiting list is not fair to everybody
I shouldn’t have to wait for obesity treatment
Quality of life
The majority of subjects expressed concern over wait times (65%) and felt that waiting was very stressful (53%) and physically, emotionally and mentally taxing (62%).
A minority of subjects indicated that they were unable to work (14%) or unable to work a full shift (17%). However, 46% of subjects still indicated that money was an issue in their lives.
Physical limitations were common, with 85% reporting reduced activity, 83% reporting activity limitations compared to previous activity levels and 69% reporting worsening physical limitations over time.
The majority of subjects reported a supportive social network (82%), faith in their physicians (76%) and trying to cope with waiting (91%). 74% indicated interest in attending a support group or classes to learn more about obesity.
Of the respondents, 81% of subjects indicated that the wait for care was frustrating, 73% worried about the consequences of extended wait times on their health, 68% were frustrated with the allocation of resources and 59% felt that they should not have to wait for obesity treatment.
Of the 150 subjects surveyed, 59% strongly agreed/agreed that the medical care they had received was ‘just about perfect’, 23% were uncertain, 16% disagreed/strongly disagreed, and 3% did not answer. Thirty-one percent of subjects were ‘dissatisfied with some things about the medical care they received’, 17% were uncertain, 49% disagreed/strongly disagreed, and 3% did not answer.
Subgroup interested in bariatric surgery
Results were broadly similar in this subgroup, although greater impairments in the quality of life, frustration and physical stress domains of the WLIQ were apparent compared to the overall sample (Table 3). Patient satisfaction results were nearly identical to the overall sample (data not shown).
Most patients wait-listed for multidisciplinary bariatric assessment within a population-based regional bariatric program attributed impairments in overall health status and adverse health consequences to their time spent waiting. In particular, overall VAS scores were very low and the WLIQ scores indicated that the domains of quality of life, frustration, and physical stress were most affected, particularly in subjects interested in surgery. Nevertheless, the majority of patients were still satisfied with their medical care.
The number of patients who meet guideline-concordant eligibility for surgery is currently orders of magnitude greater than the capacity to perform this procedure and will likely rise further if contemporary trends in the prevalence of morbidly obesity continue [24, 25]. Thus, only a fraction of eligible patients will realistically ever undergo a bariatric procedure. In 2009, an estimated 1.5 million Canadian adults were potentially eligible for bariatric surgery, yet only 1500 publically funded bariatric procedures (0.1% of eligible patients) were performed . Applying similar calculations  to 2009-10 obesity prevalence figures from England, we estimate 3.3 million individuals were potentially eligible for bariatric surgery and yet only 3600 surgeries were performed (also equal to 0.1% of eligible patients) . A recent economic analysis from England reported that expanding the provision of surgery from the current capacity to 5% of eligible patients would save £417 million over three years, with savings largely realized from increased productivity, reduced health care costs and reduced disability payments . Yet, a survey of 23 Primary Care Trusts in England found that only 5 (23%) were planning to increase provision of surgery and 4 (17%) were planning to decrease the number of procedures performed . In Canada, national surgical volumes from 2004-07 have remained flat, and although several provinces have recently announced plans to increase provision of surgery, others have either cut back or have decided against offering bariatric procedures to their populace . These data suggest that large increases in the numbers of bariatric surgery performed within the public health care sector are unlikely to occur in the near future.
To our knowledge, this is the first study to examine perceptions of the impact of extended wait times on health, patient satisfaction and VAS scores in wait-listed patients. We found only one other study examining QOL in severely obese patients wait-listed for bariatric care . This Norwegian study reported that both the mental and physical components of the Short Form-12 (SF-12) were markedly lower in 128 severely obese patients compared to population norms. However, wait time duration, patients’ views regarding wait times and patient satisfaction were not assessed. Our findings are also similar to previous studies reporting lower quality of life compared to population controls in patients approved for and awaiting bariatric surgery and other elective procedures such as coronary bypass grafting and joint replacement [18, 23, 31, 32]. However, unlike patients already approved for bariatric or other types of surgery, the patients we studied interested in surgery were still facing protracted multiyear wait times before even being assessed for this procedure. Given the association between poor self-reported health status and increased morbidity and mortality  and given that health status and quality of life improve after medical and surgical bariatric care [15–18], our results raise concern regarding the potentially detrimental (and previously under-appreciated) health ramifications of extended wait times for bariatric care.
It is also noteworthy that we identified higher BMI levels, unemployment and depression as statistically significant independent correlates of lower VAS scores. Beyond statistical significance, the magnitude of difference in health status between employed and unemployed individuals (12 points on the VAS) and depressed and non-depressed subjects (10 points) are clinically important . These results suggest that support programs to help maintain workforce participation for bariatric patients may be of value – even while they await assessment and more definitive bariatric management. In addition, because protracted wait times are unlikely to disappear in Canada and similarly structured health systems, supportive interventions designed to treat depression and reduce the physical and psychological stress of waiting may improve health status and quality of life in wait-listed patients. Such interventions are ideally best delivered as an adjunct to ongoing non-surgical weight management efforts, although there are as yet no randomized trial data to support this contention. That said, a small randomised trial evaluating a nurse led, shared care monthly intervention consisting of health education and motivational interviews for wait-listed coronary artery bypass surgery candidates significantly improved cardiovascular risk factors as well as general health status, levels of depression, anxiety, and physical activity levels compared to usual care . Similarly, improvements in quality of life, well-being and social support were reported in a telephone-based psychosocial intervention for patients awaiting lung transplantation . Studies evaluating similar interventions in bariatric populations should be considered, although because of the large number of individuals wait-listed, group interventions would likely be required.
Strengths and limitations
The main strengths of this work are that the sample was population-based, that the data were collected prospectively, and that it is the first investigation of its kind among patients wait listed for multidisciplinary bariatric assessment and management. We feel that the results of our study can be readily generalizable to other programs across Canada given the population-based nature of our data and the similarities between bariatric care delivery (especially for surgery) in other Canadian provinces. There are however several limitations. First, the cross-sectional design of our study limits our ability to measure changes in health status and satisfaction over time, but ongoing follow-up of the APPLES cohort will provide longitudinal data on these and additional outcomes . Second, our population was surveyed early during their wait (within a few months of a multi-year process) and we cannot yet determine if health status and quality of life will further deteriorate or start to improve over time. Third, the survey participation rate was low at 35%, which limits the generalizability of the results to all wait-listed patients. However, we do note that there were no major differences in the demographic characteristics of those who participated and those who did not. Fourth, the sample was comprised primarily of women, limiting the generalizability of the results to males. However, the demographics (including the female sex preponderance and relatively high education and income levels) of our study sample are similar to nationally representative samples of patients undergoing bariatric care [36, 37]. Fifth, although the WLIQ has been previously used in patients with coronary disease, there are no studies explicitly validating this instrument in morbidly obese patients.
In conclusion, we have identified that patients wait listed for bariatric surgery report very impaired health status and that depression, unemployment and higher BMI predict greater health status impairment. Care providers and decision makers should consider the heretofore undescribed physical and psychological toll of waiting (and the ramifications with respect to quality and quantity of life) when devising strategies to optimally manage wait lists within publicly funded bariatric programs.
Canadian Institutes of Health Research (CIHR) grant number 86642 was the source of funding for this analysis and the APPLES study. The study sponsor had no role in study design; the collection, analysis, and interpretation of data; or the writing of the article and the decision to submit it for publication.
RP, SRM, SK and AM are supported by an alternative funding plan from the Government of Alberta and the University of Alberta. SRM and SK are supported by the Alberta Heritage Foundation for Medical Research/Alberta Innovates – Health Solutions. AMS is supported by an Alberta Health Services Chair in Obesity Research and Management.
We wish to express our gratitude to the study sponsors, the Weight Wise research coordinators, clinical staff and patients.
- Shields M, Carroll M, Ogden C: Adult obesity prevalence in Canada and the United States. NCHS Data Brief. 2011, 56: 1-8.PubMedGoogle Scholar
- Tjepkema M: Measured obesity. Adult obesity in Canada: measured height and weight. 2008. 2004, , , issue I (cat no 82-620-MWE2005001)Google Scholar
- Hensrud DD, Klein S: Extreme obesity: a new medical crisis in the United States. Mayo Clin Proc. 2006, 81 (Suppl 10): S5-S10.View ArticlePubMedGoogle Scholar
- de Gonazalez A, Hartge P, Cerhan J: Body-Mass Index and Mortality among 1.46 Million White Adults. N Engl J Med. 2010, 363: 2211-2219. 10.1056/NEJMoa1000367.View ArticleGoogle Scholar
- National Heart, Lung, and Blood Institute, National Institutes of Health: Clinical guidelines on the identification, evaluation, and treatment of overweight and obesity in adults: the evidence report. NIH Publication No. 98-4083. 1998, National Institutes of Health, Bethesda, MDGoogle Scholar
- Lau DCW, Douketis JD, Morrison KM, Hramiak IM, Sharma AM, Ur E: 2006 Canadian clinical practice guidelines on the management and prevention of obesity in adults and children. CMAJ. 2007, 176 (Suppl 8): 1-117.View ArticleGoogle Scholar
- Office of Health Economics: Shedding the pounds. Obesity management, NICE guidance and bariatric surgery in England. 2010. 2012, , , Accessed at www.ohe.orgGoogle Scholar
- Forman-Hoffman V, Little A, Wahls T: Barriers to obesity management: a pilot study of primary care clinicians. BMC Fam Pract. 2006, 7: 35-10.1186/1471-2296-7-35.View ArticlePubMedPubMed CentralGoogle Scholar
- Padwal R, Sharma AM: Treating severe obesity: Morbid weights and morbid waits. CMAJ. 2009, 181: 777-778. 10.1503/cmaj.081508.View ArticlePubMedPubMed CentralGoogle Scholar
- Christou NV, Efthimiou E: Bariatric surgery waiting times in Canada. Can J Surg. 2009, 52: 229-234.PubMedPubMed CentralGoogle Scholar
- Padwal RS, Majumdar SR, Klarenbach S, Birch DW, Karmali S, McCargar L, Fassbender K, Sharma AM: The Alberta population-based prospective evaluation of the quality of life outcomes and economic impact of bariatric surgery (APPLES) study: background, design and rationale. BMC Health Serv Res. 2010, 10: 284-10.1186/1472-6963-10-284.View ArticlePubMedPubMed CentralGoogle Scholar
- The Observer: NHS rations anti-obesity surgery. 2006. 2012, Accessed at http://www.guardian.co.uk/society/2006/sep/10/health.medicineandhealth Google Scholar
- The Royal College of Surgeons of England: Conference hears of 'unfair and unethical' access to NHS weight loss surgery. 2012, Accessed at http://www.rcseng.ac.uk/news/conference-hears-of-unfair-and-unethical-access-to-nhs-weight-loss-surgery Google Scholar
- Canadian Institute for Health Information: Wait times in Canada - a comparison by province, 2011. 2012, Accessed online at http://secure.cihi.ca/cihiweb/products/Wait_times_tables_2011_en.pdf Google Scholar
- Pi-Sunyer X, Blackburn G, Brancati FL, Bray GA, Bright R, Clark JM, Curtis JM, Espeland MA, Foreyt JP, Graves K, Haffner SM, Harrison B, Hill JO, Horton ES, Jakicic J, Jeffery RW, Johnson KC, Kahn S, Kelley DE, Kitabchi AE, Knowler WC, Lewis CE, Maschak-Carey BJ, Montgomery B, Nathan DM, Patricio J, Peters A, Redmon JB, Reeves RS, Ryan DH, Safford M, Van Dorsten B, Wadden TA, Wagenknecht L, Wesche-Thobaben J, Wing RR, Yanovski SZ: Reduction in weight and cardiovascular disease risk factors in individuals with type 2 diabetes: one-year results of the look AHEAD trial. Diabetes Care. 2007, 30: 1374-1383.View ArticlePubMedGoogle Scholar
- Padwal R, Klarenbach S, Wiebe N, Hazel M, Birch D, Karmali S: Sharma AM, Manns B, Tonelli M. 2011, A Systematic Review of the Clinical and Economic Evidence. J Gen Intern Med, Bariatric Surgery, [Epub ahead of print]Google Scholar
- Blissmer B, Riebe D, Dye G, Ruggiero L, Greene G, Caldwell M: Health-related quality of life following a clinical weight loss intervention among overweight and obese adults: intervention and 24 month follow-up effects. Health Qual Life Outcomes. 2006, 4: 43-10.1186/1477-7525-4-43.View ArticlePubMedPubMed CentralGoogle Scholar
- Kolotkin RL, Crosby RD, Gress RE, Hunt SC, Adams TD: Two-year changes in health-related quality of life in gastric bypass patients compared with severely obese controls. Surg Obes Relat Disord. 2009, 5: 250-256. 10.1016/j.soard.2009.01.009.View ArticleGoogle Scholar
- EuroQol Group: EQ-5D: A standardised instrument for use as a measure of health outcome. 2012, Accessed at http://www.euroqol.org Google Scholar
- Maddigan SL, Majumdar SR, Guirguis LM, Lewanczuk RZ, Lee TK, Toth EL, Johnson JA: Improvements in patient-reported outcomes associated with an intervention to enhance quality of care for rural patients with type 2 diabetes: results of a controlled trial. Diabetes Care. 2004, 27: 1306-1312. 10.2337/diacare.27.6.1306.View ArticlePubMedGoogle Scholar
- Majumdar SR, Rowe BH, Folk D, Johnson JA, Holroyd BH, Morrish DW, Maksymowych WP, Steiner IP, Harley CH, Wirzba B, Hanley DA, Blitz S, Russell AS: A controlled trial to increase detection and treatment of osteoporosis in older patients with a wrist fracture. Ann Intern Med. 2004, 141: 366-373.View ArticlePubMedGoogle Scholar
- Marshall GN, Hays RD, Mazel R: Health status and satisfaction with health care: results from the medical outcomes study. J Consult Clin Psychol. 1996, 64: 380-390.View ArticlePubMedGoogle Scholar
- Teo KK, Spoor M, Pressey T, Williamson H, Calder P, Gelfand E, Koshal A: Impact of managed waiting for coronary artery bypass graft surgery on patients' perceived quality of life. Circulation. 1998, 98: 29II-33II.Google Scholar
- Sturm R: Increases in clinically severe obesity in the United States, 1986-2000. Arch Intern Med. 2003, 163: 2146-2148. 10.1001/archinte.163.18.2146.View ArticlePubMedGoogle Scholar
- Katzmarzyk PT, Mason C: Prevalence of class I, II and III obesity in Canada. CMAJ. 2006, 174: 156-157. 10.1503/cmaj.050806.View ArticlePubMedPubMed CentralGoogle Scholar
- Klarenbach S, Padwal R, Wiebe N, Hazel M, Birch D, Manns B, Karmali S, Sharma A, Tonelli M: Bariatric surgery for severe obesity: a systematic review and economic evaluation. 2010, Canadian Agency for Drugs and Technologies in Health, , Accessed on March 14, 2012 at http://www.cadth.ca/index.php/en/hta/reports-publications/search/publication/2667 Google Scholar
- Johnson JA, Pickard AS: Comparison of the EQ-5D and SF-12 health surveys in a general population survey in Alberta, Canada. Med Care. 2000, 38: 115-121. 10.1097/00005650-200001000-00013.View ArticlePubMedGoogle Scholar
- Adachi JD, Lyles KW, Colon-Emeric CS, Boonen S, Pieper CF, Mautalen C, Hyldstrup L, Recknor C, Nordsletten L, Moore KA, Bucci-Rechtweg C, Su G, Eriksen EF, Magaziner JS: Zoledronic acid results in better health-related quality of life following hip fracture: the HORIZON-Recurrent Fracture Trial. Osteoprosis Int. 2011, 22: 2539-2549. 10.1007/s00198-010-1514-9.View ArticleGoogle Scholar
- Dyer MT, Goldsmith KA, Sharples LS, Buxton MJ: A review of health utilities using the EQ-5D in studies of cardiovascular disease. Health Qual Life Outcomes. 2010, 8: 13-10.1186/1477-7525-8-13.View ArticlePubMedPubMed CentralGoogle Scholar
- Lerdal A, Andenæs R, Bjørnsborg E, Bonsaksen T, Borge L, Christiansen B, Eide H, Hvinden K, Fagermoen M: Personal factors associated with health-related quality of life in persons with morbid obesity on treatment waiting lists in Norway. Qual Life Res. 2011, : 1-10.Google Scholar
- Hirvonen J, Blom M, Tuominen U, Seitsalo S, Lehto M, Paavolainen P, Hietaniemi K, Rissanen P, Sintonen H: Health-related quality of life in patients waiting for major joint replacement. A comparison between patients and population controls. Health Qual Life Outcomes. 2006, 4: 3-10.1186/1477-7525-4-3.View ArticlePubMedPubMed CentralGoogle Scholar
- Kaplan GA, Goldberg DE, Everson SA, Cohen RD, Salonen R, Tuomilehto J, Salonen J: Perceived health status and morbidity and mortality: evidence from the Kuopio ischaemic heart disease risk factor study. Int J Epidemiol. 1996, 25: 259-265. 10.1093/ije/25.2.259.View ArticlePubMedGoogle Scholar
- Pickard A, Neary M, Cella D: Estimation of minimally important differences in EQ-5D utility and VAS scores in cancer. Health Qual Life Outcomes. 2007, 5: 70-10.1186/1477-7525-5-70.View ArticlePubMedPubMed CentralGoogle Scholar
- McHugh F, Lindsay GM, Hanlon P, Hutton I, Brown MR, Morrison C, Wheatley DJ: Nurse led shared care for patients on the waiting list for coronary artery bypass surgery: a randomised controlled trial. Heart. 2001, 86: 317-323. 10.1136/heart.86.3.317.View ArticlePubMedPubMed CentralGoogle Scholar
- Napolitano MA, Babyak MA, Palmer S, Tapson V, Davis RD, Blumenthal JA: Effects of a telephone-based psychosocial intervention for patients awaiting lung transplantation. Chest. 2002, 122: 1176-1184. 10.1378/chest.122.4.1176.View ArticlePubMedGoogle Scholar
- Padwal RS: Characteristics of patients undergoing bariatric surgery in Canada. Obes Res. 2005, 13: 2052-2054. 10.1038/oby.2005.253.View ArticlePubMedGoogle Scholar
- Livingston EH, Ko CY: Socioeconomic characteristics of the population eligible for obesity surgery. Surgery. 2004, 135: 288-296. 10.1016/j.surg.2003.07.008.View ArticlePubMedGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1472-6963/12/139/prepub
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