EQ-5D-derived health utilities and minimally important differences for chronic health conditions: 2011 Commonwealth Fund Survey of Sicker Adults in Canada.

PURPOSE: The purpose of the study is to estimate the EQ-5D-derived health utilities associated with selected chronic conditions (hypertension, heart disease, arthritis, asthma or COPD, cancer, diabetes, chronic back pain, and anxiety or depression) and to estimate minimally important differences (MID) based on the Commonwealth Fund Survey of Sicker Adults in Canada. METHODS: We used a cross-sectional survey of 3765 sick adults in Canada conducted in 2011 by the Commonwealth Fund. Health utilities were calculated for the entire sample and for each of the eight chronic health conditions. An ordinary least squares regression was used to estimate the utility decrement associated with these conditions with and without adjustment for socio-demographic factors. The MIDs were estimated using the anchor- and distribution-based methods. RESULTS: The adjusted utility decrement varied from 0.028 (95 % confidence interval (CI) -0.049, -0.008) for diabetes to 0.124 (95 % CI -0.142, -0.105) for anxiety or depression. The anchor-based MID for the entire group was 0.044 (95 % CI 0.025, 0.062), and the distribution-based MID for the entire group was 0.091. The condition-specific MIDs using the distribution-based method ranged from 0.089 for cancer to 0.108 for asthma or COPD. CONCLUSIONS: The MID estimated by the distribution-based method was larger than the MID estimated by the anchor-based method, indicating that the choice of method matters. The impact of arthritis, anxiety or depression, and chronic back pain on health utility was substantial, all exceeding or approximating the MID estimated using either anchor- or distribution-based methods.

An international cross-sectional survey on the Quality and Costs of Primary Care (QUALICO-PC): recruitment and data collection of places delivering primary care across Canada.

BACKGROUND: Performance reporting in primary health care in Canada is challenging because of the dearth of concise and synthesized information. The paucity of information occurs, in part, because the majority of primary health care in Canada is delivered through a multitude of privately owned small businesses with no mechanism or incentives to provide information about their performance. The purpose of this paper is to report the methods used to recruit family physicians and their patients across 10 provinces to provide self-reported information about primary care and how this information could be used in recruitment and data collection for future large scale pan-Canadian and other cross-country studies. METHODS: Canada participated in an international large scale study-the QUALICO-PC (Quality and Costs of Primary Care) study. A set of four surveys, designed to collect in-depth information regarding primary care activities was collected from: practices, providers, and patients (experiences and values). Invitations (telephone, electronic or mailed) were sent to family physicians. Eligible participants were sent a package of surveys. Provincial teams kept records on the number of: invitation emails/letters sent, physicians who registered, practices that were sent surveys, and practices returning completed surveys. Response and cooperation rates were calculated. RESULTS: Invitations to participate were sent to approximately 23,000 family physicians across Canada. A total of 792 physicians and 8,332 patients from 772 primary care practices completed the surveys, including 1,160 participants completing a Patient Values survey and 7,172 participants completing a Patient Experience survey. Overall, the response rate was very low ranging from 2% (British Columbia) to 21% (Nova Scotia). However, the participation rate was high, ranging from 72% (Ontario) to 100% (New Brunswick/Prince Edward Island and Newfoundland & Labrador). CONCLUSIONS: The difficulties obtaining acceptable response rates by family physicians for survey participation is a universal challenge. This response rate for the QUALICO-PC arm in Canada was similar to rates found in other countries such as Australia and New Zealand. Even though most family physicians operate as self-employed small businesses, they could be supported to routinely submit data through a collective effort and provincial mandate. The groundwork in setting up pan-Canadian collaboration in primary care has been established through this study.

Comparing the EQ-5D 3L and 5L: measurement properties and association with chronic conditions and multimorbidity in the general population.

BACKGROUND: Studies comparing the measurement properties of EQ-5D 3L (3L) and EQ-5D 5L (5L) are limited to specific patient populations with small sample sizes. Using a general population sample, we compared 3L and 5L in terms of their measurement properties and association with number of chronic conditions, including multimorbidity--the concurrent occurrence of two or more chronic conditions. METHODS: Data were available from two consecutive cycles of a cross-sectional telephone interview survey using 3L (2010 cycle) and 5L (2012 cycle), in the general population of adults (age ≥ 18 years) in Alberta, Canada. Measurement properties were compared by determining their feasibility, ceiling effect, and discriminatory power (Shannon indices) for 3L and 5L. Linear regression models were fitted to test the associations between multimorbidity and EQ-5D index score. RESULTS: Data were available for 4946 (2010) and 4752 (2012) survey respondents with information on HRQL. Compared to 3L, 5L showed lower ceiling effect (32.3% versus 42.1%), higher absolute discriminatory power (Shannon index, mean 0.79 versus 0.52) and higher relative discriminatory power (Shannon Evenness index, mean 0.09 versus 0.06 for 3L). Despite these differences, similar relationships of lower HRQL with greater multimorbidity were observed for the 3L (ß = -0.13, 95% CI -0.15; -0.11) and 5L (ß = -0.12, 95% CI -0.13; -0.11). CONCLUSIONS: Using a general population sample, the EQ-5D 5L showed better measurement properties than the EQ-5D 3L. Nonetheless, clinically important differences in HRQL associated with multimorbidity were similar in magnitude using both versions of EQ-5D.

Mental health and the relationship between health promotion counseling and health outcomes in chronic conditions: cross-sectional population-based study.

OBJECTIVE: To explore the relationship between health promotion counseling (HPC) provided by FPs and health-related quality of life (HRQL) and the use of health care services among patients with chronic conditions, while assessing the effect of mental health on these relationships. DESIGN: Telephone survey using random-digit dialing. SETTING: Alberta. PARTICIPANTS: A total of 1615 participants with chronic conditions. MAIN OUTCOME MEASURES: Health promotion counseling provided by FPs, which was assessed using 4 questions; HRQL using the Euro quality of life 5-dimensions (EQ-5D) questionnaire; and the use of health care services assessed with self-reported emergency department (ED) visits and hospitalizations. RESULTS: Of the 1615 participants with chronic conditions, 55% were female and more than two-thirds were older than age 45 years. Less than two-thirds of participants received HPC from their FPs. In patients without anxiety or depression, those who needed help from their FPs in making changes to prevent illness had a 0.05 lower EQ-5D score than those who did not (P < .001); and those who received diet counseling had a 0.03 higher EQ-5D score than their counterparts did (P = .048). However, these associations were not observed in patients with anxiety or depression. Patients were more likely to have visited EDs if they needed their physicians' help in making changes to prevent illness (odds ratio 1.43, 95% CI 1.08 to 1.89) and less likely to visit EDs if they had been encouraged by their physicians to talk about their health concerns (odds ratio 0.69, 95% CI 0.52 to 0.91). None of the HPC items was associated with hospitalizations. CONCLUSION: Not all patients with chronic conditions are receiving HPC from their FPs. Also, there is an association between HPC and important health outcomes (ie, HRQL and ED visits), but this association is not apparent for those with anxiety or depression.

Multimorbidity prevalence in the general population: the role of obesity in chronic disease clustering.

BACKGROUND: The role of obesity in the prevalence and clustering of multimorbidity, the occurrence of two or more chronic conditions, is understudied. We estimated the prevalence of multimorbidity by obesity status, and the interaction of obesity with other predictors of multimorbidity. METHODS: Data from adult respondents (18 years and over) to the Health Quality Council of Alberta 2012 Patient Experience Survey were analyzed. Multivariable regression models were fitted to test for associations. RESULTS: The survey sample included 4803 respondents; 55.8% were female and the mean age was 47.8 years (SD, 17.1). The majority (62.0%) of respondents reported having at least one chronic condition. The prevalence of multimorbidity, including obesity, was 36.0% (95% CI, 34.8 - 37.3). The prevalence of obesity alone was 28.1% (95% CI 26.6 - 29.5). Having obesity was associated with more than double the odds of multimorbidity (odds ratio = 2.2, 95% CI 1.9 - 2.7) compared to non-obese. CONCLUSIONS: The prevalence of multimorbidity in the general population is high, but even higher in obese than non-obese persons. These findings may be relevant for surveillance, prevention and management strategies for multimorbidity.

Health-related quality of life and healthcare utilization in multimorbidity: results of a cross-sectional survey.

PURPOSE: We assessed the associations between multimorbidity and health-related quality of life (HRQL), and healthcare utilization, based on 16 common self-reported chronic conditions. METHODS: A cross-sectional questionnaire survey including the EQ-5D was conducted in a sample of the general population of adults (≥18 years) living in Alberta, Canada. Multiple linear and logistic regressions were used to assess the association between multiple chronic conditions and HRQL, hospitalization and emergency department (ED) use. RESULTS: A total of 4,946 respondents reported their HRQL, noting problems mostly with pain or discomfort (48.0%). All chronic conditions were associated with a clinically important reduction in HRQL, the highest burden with anxiety or depression (-0.19, 95% CI -0.21, -0.16) and chronic pain (-0.19, 95% CI -0.21, -0.17). Multimorbidity was associated with a clinically important reduction in the EQ-5D index score (-0.12, 95% CI -0.14, -0.11) and twice the likelihood of being hospitalized (OR = 2.2, 95% CI 1.7, 2.9) or having an ED visit (OR = 1.8, 95% CI 1.4, 2.2). CONCLUSIONS: Pain or discomfort is a common problem in people living with chronic conditions, and the existence of multimorbidity in these individuals is associated with a reduction in the HRQL as well as frequent hospitalization and emergency department visits.

Multimorbidity prevalence and patterns across socioeconomic determinants: a cross-sectional survey.

BACKGROUND: Studies on the prevalence of multimorbidity, defined as having two or more chronic conditions, have predominantly focused on the elderly. We estimated the prevalence and specific patterns of multimorbidity across different adult age groups. Furthermore, we examined the associations of multimorbidity with socio-demographic factors. METHODS: Using data from the Health Quality Council of Alberta (HQCA) 2010 Patient Experience Survey, the prevalence of self reported multimorbidity was assessed by telephone interview among a sample of 5010 adults (18 years and over) from the general population. Logistic regression analyses were performed to determine the association between a range of socio-demographic factors and multimorbidity. RESULTS: The overall age- and sex-standardized prevalence of multimorbidity was 19.0% in the surveyed general population. Of those with multimorbidity, 70.2% were aged less than 65 years. The most common pairing of chronic conditions was chronic pain and arthritis. Age, sex, income and family structure were independently associated with multimorbidity. CONCLUSIONS: Multimorbidity is a common occurrence in the general adult population, and is not limited to the elderly. Future prevention programs and practice guidelines should take into account the common patterns of multimorbidity.

The clinical evaluation of HER-2 status: which test to use?

Accurate determination of the status of the type I receptor tyrosine kinase HER-2 in breast carcinomas provides significant insight into patient prognosis and may also inform selection of chemotherapeutic and hormonal treatments. At present, however, the single most important application of HER-2 testing is in the selection of patients for treatment with targeted therapies such as Herceptin. Although, based on current literature, fluorescence in situ hybridization (FISH) detection of HER-2 gene amplification may provide more accurate information in this context, this method is not yet widely available. Therefore, screening by immunohistochemistry (IHC) for HER-2 protein, backed by rigorous quality controls and FISH testing of equivocal cases with intermediate staining intensity, remains the current practice. In laboratories with highly standardized testing and quality assurance procedures, this protocol appears highly effective. Improvements in fixation procedures, standardization of antibodies, and use of automated image analysis may all increase the precision of IHC testing. However, on the basis of current data, there is a case to be made for the wider implementation of FISH testing to determine HER-2 status in breast cancer.