Retrospective Analysis of Cardiovascular Disease Risk Parameters in Participants of a Preventive Health and Wellness Program.

Lifestyle, dietary, and nutritional choices are important influencing parameters of cardiovascular disease (CVD) risk, the number one cause of morbidity and mortality globally. Our aims were to i) characterize CVD risk parameters using data from 7939 participants enrolled in a preventive health and wellness program between March 2010 and January 2017; and ii) evaluate intervention effects in 3,020 participants who returned for follow-up. Blood measurements (nutrient markers), CVD risk parameters (abdominal obesity, hypertension, hyperglycemia, hypertriglyceridemia, low high-density lipoprotein (HDL), insulin resistance, and inflammation), glycemic status (HbA1c), and insulin resistance (HOMA-IR) were assessed. Framingham and Reynold's risk scores were also calculated. After approximately one year of treatment (n = 3 020), mean arachidonic acid:eicosapentaenoic acid (AA:EPA) ratio, homocysteine, and HbAlc concentrations were significantly reduced; other risk parameters did not improve but mean values remained within reference ranges. Excluding participants taking related medications, 38.8%, 37.2%, 38.0%, 42.5%, and 59.7% of those with hyperglycemia, hypertriglyceridemia, low HDL, insulin resistance, or prediabetes, respectively, at baseline no longer had the condition at follow-up. In contrast, of individuals within the reference range at baseline, new cases at follow-up were found for 10.1%, 12.2%, 6.3%, 8.2%, and 7.6% (as above, respectively). Regression models revealed a significant association between serum 25-hydroxyvitamin D concentrations ≥100 nmol/L and reductions in many CVD risk parameters after adjustment for confounding variables. These findings suggest that a preventive approach to health and wellness focused on nutrients, optimal serum 25-hydroxyvitamin D concentrations, and lifestyle changes has the potential to reduce the risk of CVD.

Evaluating the primary-to-specialist referral system for elective hip and knee arthroplasty.

RATIONALE, AIMS AND OBJECTIVES: Persistently long waiting times for hip and knee total joint arthroplasty (TJA) specialist consultations have been identified as a problem. This study described referral processes and practices, and their impact on the waiting time from referral to consultation for TJA. METHODS: A mixed-methods retrospective study incorporating semi-structured interviews, patient chart reviews and observational studies was conducted at three clinic sites in Alberta, Canada. A total of 218 charts were selected for analysis. Standardized definitions were applied to key event dates. Performance measures included waiting times percentage of referrals initially accepted. Voluntary (patient-related) and involuntary (health system-related) waiting times were quantified. RESULTS: All three clinics had defined, but differing, referral processing rules. The mean time from referral to consultation ranged from 51 to 139 business days. Choosing a specific surgeon for consultation rather than a next available surgeon lengthened waits by 10-47 business days. Involuntary waiting times accounted for at least 11% of total waiting time. Approximately 40-80% of the time patients with TJA wait for surgery was in the consultation period. Fifty-four per cent of new referrals were initially rejected, prolonging patient waits by 8-46 business days. CONCLUSIONS: Our results suggest that variation in referral processing led to increased waiting times for patients. The large proportion of total wait attributable to waiting for a surgical consultation makes failure to measure and evaluate this period a significant omission. Improving referral processes and decreasing variation between clinics would improve patient access to these specialist referrals in Alberta.

The association between amalgam dental surfaces and urinary mercury levels in a sample of Albertans, a prevalence study.

OBJECTIVE: The objective of this study was to quantify the relationship between number of dental amalgam surfaces and urinary mercury levels. METHODS: This study uses participant data from a large philanthropic chronic disease prevention program in Calgary, Alberta, Canada. Urine samples were analysed for mercury levels (measured in µg/g-creatinine). T-tests were used to determine if differences in urine mercury were statistically significant between persons with no dental amalgam surfaces and one or more dental amalgam surfaces. Linear regression was used to estimate the change in urinary mercury per amalgam surface. RESULTS: Urinary mercury levels were statistically significantly higher in participants with amalgam surfaces, with an average difference of 0.55 µg/g-creatinine. Per amalgam surface, we estimated an expected increase of 0.04 µg/g-creatinine. Measured urinary mercury levels were also statistically significantly higher in participants with dental amalgam surfaces following the oral administration of 2,3-dimercaptopropane-l-sulfonate (DMPS) and meso-2,3-dimercaptosuccinic acid (DMSA) which are used to mobilize mercury from the blood and tissues. DISCUSSION: Our estimates indicate that an individual with seven or more dental amalgam surfaces has 30% to 50% higher urinary mercury levels than an individual without amalgams. This is consistent with past literature that has identified seven amalgam surfaces as an unsafe level of exposure to mercury vapor. Our analysis suggests that continued use of silver amalgam dental fillings for restorative dentistry is a non-negligible, unnecessary source of mercury exposure considering the availability of composite resin alternatives.

Voluntary versus involuntary waiting for joint replacements: new Alberta wait times rules for hip and knee arthroplasties, with provincial consensus.

Despite various health system improvements across Alberta, the wait times benchmark was not being met for all patients requiring hip or knee arthroplasty. Alberta Health Services Bone and Joint Clinical Network working groups, in collaboration with other provincial organizations, gained consensus on the development and implementation of a set of provincial Wait Times Rules. These rules standardize the definition and measurement of data elements specific to joint replacement and distinguish between voluntary (patient-related) versus involuntary (healthcare system-related) wait times. Collectively, this information will help identify trends in wait times and more accurately show where wait times can be reduced.

The cost-effectiveness of a law banning the use of cellular phones by drivers.

OBJECTIVE: To assess the cost-effectiveness of a law banning the use of cellular phones by drivers in the Canadian province of Alberta. METHOD: Cost-effectiveness analysis using a probabilistic decision-analytic model and publicly available data. We adopted a societal perspective. Health gains were measured in terms of quality-adjusted life-years. Costs include those associated with awareness raising, enforcement and the welfare loss associated with the reduction in cellular phone use, less savings in health care and other costs associated with automobile accidents. RESULTS: A ban promotes health and releases resources worth more than the costs. There is an 80% chance that a ban will be 'cost saving', and a 94% chance that a ban will cost less than Can$50,000/QALY. The results are sensitive to the additional risk posed by cellular phone use while driving, and the rate and pattern with which drivers comply with a ban. CONCLUSION: Under our base line assumptions a cellular phone ban is likely to be cost saving from a societal perspective. The results are sensitive to parameters for which there is very little information or for which the available information is contradictory.

Conjoint Analysis Applications in Health - How are Studies being Designed and Reported?: An Update on Current Practice in the Published Literature between 2005 and 2008.

Despite the increased popularity of conjoint analysis in health outcomes research, little is known about what specific methods are being used for the design and reporting of these studies. This variation in method type and reporting quality sometimes makes it difficult to assess substantive findings. This review identifies and describes recent applications of conjoint analysis based on a systematic review of conjoint analysis in the health literature. We focus on significant unanswered questions for which there is neither compelling empirical evidence nor agreement among researchers.We searched multiple electronic databases to identify English-language articles of conjoint analysis applications in human health studies published since 2005 through to July 2008. Two independent reviewers completed the detailed data extraction, including descriptive information, methodological details on survey type, experimental design, survey format, attributes and levels, sample size, number of conjoint scenarios per respondent, and analysis methods. Review articles and methods studies were excluded. The detailed extraction form was piloted to identify key elements to be included in the database using a standardized taxonomy.We identified 79 conjoint analysis articles that met the inclusion criteria. The number of applied studies increased substantially over time in a broad range of clinical applications, cancer being the most frequent. Most used a discrete-choice survey format (71%), with the number of attributes ranging from 3 to 16. Most surveys included 6 attributes, and 73% presented 7-15 scenarios to each respondent. Sample size varied substantially (minimum = 13, maximum = 1258), with most studies (38%) including between 100 and 300 respondents. Cost was included as an attribute to estimate willingness to pay in approximately 40% of the articles across all years.Conjoint analysis in health has expanded to include a broad range of applications and methodological approaches. Although we found substantial variation in methods, terminology, and presentation of findings, our observations on sample size, the number of attributes, and number of scenarios presented to respondents should be helpful in guiding researchers when planning a new conjoint analysis study in health.