Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Denise Campbell-Scherer is active.

Publication


Featured researches published by Denise Campbell-Scherer.


BMJ | 2014

Televised medical talk shows—what they recommend and the evidence to support their recommendations: a prospective observational study

Christina Korownyk; Michael R. Kolber; James McCormack; Vanessa Lam; Kate Overbo; Candra Cotton; Caitlin R. Finley; Ricky D. Turgeon; Scott Garrison; Adrienne J. Lindblad; Hoan Linh Banh; Denise Campbell-Scherer; Ben Vandermeer; G. Michael Allan

Objective To determine the quality of health recommendations and claims made on popular medical talk shows. Design Prospective observational study. Setting Mainstream television media. Sources Internationally syndicated medical television talk shows that air daily (The Dr Oz Show and The Doctors). Interventions Investigators randomly selected 40 episodes of each of The Dr Oz Show and The Doctors from early 2013 and identified and evaluated all recommendations made on each program. A group of experienced evidence reviewers independently searched for, and evaluated as a team, evidence to support 80 randomly selected recommendations from each show. Main outcomes measures Percentage of recommendations that are supported by evidence as determined by a team of experienced evidence reviewers. Secondary outcomes included topics discussed, the number of recommendations made on the shows, and the types and details of recommendations that were made. Results We could find at least a case study or better evidence to support 54% (95% confidence interval 47% to 62%) of the 160 recommendations (80 from each show). For recommendations in The Dr Oz Show, evidence supported 46%, contradicted 15%, and was not found for 39%. For recommendations in The Doctors, evidence supported 63%, contradicted 14%, and was not found for 24%. Believable or somewhat believable evidence supported 33% of the recommendations on The Dr Oz Show and 53% on The Doctors. On average, The Dr Oz Show had 12 recommendations per episode and The Doctors 11. The most common recommendation category on The Dr Oz Show was dietary advice (39%) and on The Doctors was to consult a healthcare provider (18%). A specific benefit was described for 43% and 41% of the recommendations made on the shows respectively. The magnitude of benefit was described for 17% of the recommendations on The Dr Oz Show and 11% on The Doctors. Disclosure of potential conflicts of interest accompanied 0.4% of recommendations. Conclusions Recommendations made on medical talk shows often lack adequate information on specific benefits or the magnitude of the effects of these benefits. Approximately half of the recommendations have either no evidence or are contradicted by the best available evidence. Potential conflicts of interest are rarely addressed. The public should be skeptical about recommendations made on medical talk shows. Additional details of methods used and changes made to study protocol


Evidence-based Medicine | 2010

Multimorbidity: a challenge for evidence-based medicine.

Denise Campbell-Scherer

In keeping with the challenge presented by our Editor, of how to translate evidence into policy and practice,1 this article will focus on a fundamental barrier: ‘multimorbidity’. Multimorbidity refers to the co-occurrence of two or more chronic conditions in one patient.2 Management targeting one condition in a patient may cause undesirable sequelae with regard to their other conditions. Some examples include non-steroidal anti-inflammatory medications for pain relief from arthritis, which aggravate hypertension and renal disease, diuretic medications for heart failure causing exacerbation of renal failure, aspirin for heart disease with the potential of causing bleeding in patients with gastric ulcers and steroids for inflammatory and autoimmune conditions causing high glucose levels in diabetics. Yet patients with multiple chronic diseases are often excluded from clinical trials that constitute the bulk of the evidence supporting treatment for specific conditions.3 This exclusion might not be a substantial concern if multimorbidity was rare, but it is not. In primary care, 45% of patients have multimorbidity. In older adults this increases to 50% of those older than 65 years having three or more co-morbid conditions and 20% having five or more conditions. The prevalence is increasing, with more than 50% of the US population expected to have a chronic disease by the year 2020. [4, 5 as cited in 6] These patients tend to have increased disability, depression, anxiety and rapid declines in health status.6 Currently, 75% of …


BMC Family Practice | 2013

Improving chronic disease prevention and screening in primary care: results of the BETTER pragmatic cluster randomized controlled trial

Eva Grunfeld; Donna Manca; Rahim Moineddin; Kevin E. Thorpe; Jeffrey S. Hoch; Denise Campbell-Scherer; Christopher Meaney; Jess Rogers; J. Beca; Paul Krueger; Muhammad Mamdani

BackgroundPrimary care provides most of the evidence-based chronic disease prevention and screening services offered by the healthcare system. However, there remains a gap between recommended preventive services and actual practice. This trial (the BETTER Trial) aimed to improve preventive care of heart disease, diabetes, colorectal, breast and cervical cancers, and relevant lifestyle factors through a practice facilitation intervention set in primary care.MethodsPragmatic two-way factorial cluster RCT with Primary Care Physicians’ practices as the unit of allocation and individual patients as the unit of analysis. The setting was urban Primary Care Team practices in two Canadian provinces. Eight Primary Care Team practices were randomly assigned to receive the practice-level intervention or wait-list control; 4 physicians in each team (32 physicians) were randomly assigned to receive the patient-level intervention or wait-list control. Patients randomly selected from physicians’ rosters were stratified into two groups: 1) general and 2) moderate mental illness. The interventions involved a multifaceted, evidence-based, tailored practice-level intervention with a Practice Facilitator, and a patient-level intervention involving a one-hour visit with a Prevention Practitioner where patients received a tailored ‘prevention prescription’. The primary outcome was a composite Summary Quality Index of 28 evidence-based chronic disease prevention and screening actions with pre-defined targets, expressed as the ratio of eligible actions at baseline that were met at follow-up. A cost-effectiveness analysis was conducted.Results789 of 1,260 (63%) eligible patients participated. On average, patients were eligible for 8.96 (SD 3.2) actions at baseline. In the adjusted analysis, control patients met 23.1% (95% CI: 19.2% to 27.1%) of target actions, compared to 28.5% (95% CI: 20.9% to 36.0%) receiving the practice-level intervention, 55.6% (95% CI: 49.0% to 62.1%) receiving the patient-level intervention, and 58.9% (95% CI: 54.7% to 63.1%) receiving both practice- and patient-level interventions (patient-level intervention versus control, P < 0.001). The benefit of the patient-level intervention was seen in both strata. The extra cost of the intervention was


Arthritis Research & Therapy | 2015

Development of key performance indicators to evaluate centralized intake for patients with osteoarthritis and rheumatoid arthritis

Claire E.H. Barber; Jatin Patel; Linda J. Woodhouse; C. Christopher Smith; Stephen Weiss; Joanne Homik; Sharon LeClercq; Dianne Mosher; Tanya Christiansen; Jane Squire Howden; Tracy Wasylak; James Greenwood-Lee; Andrea Emrick; Esther Suter; Barb Kathol; Dmitry Khodyakov; Sean Grant; Denise Campbell-Scherer; Leah Phillips; Jennifer Hendricks; Deborah A. Marshall

26.43CAN (95% CI:


Implementation Science | 2014

Implementation and evaluation of the 5As framework of obesity management in primary care: design of the 5As Team (5AsT) randomized control trial

Denise Campbell-Scherer; Jodie Asselin; Adedayo Osunlana; Sheri Fielding; Robin Anderson; Christian F. Rueda-Clausen; Jeffrey A. Johnson; Ayodele A Ogunleye; Andrew Cave; Donna Manca; Arya M. Sharma

16 to


Implementation Science | 2014

Implementing and evaluating a program to facilitate chronic disease prevention and screening in primary care: A mixed methods program evaluation

Donna Manca; Kris Aubrey-Bassler; Kami Kandola; Carolina Aguilar; Denise Campbell-Scherer; Nicolette Sopcak; Mary Ann O'Brien; Christopher Meaney; Vee Faria; Julia Baxter; Rahim Moineddin; Ginetta Salvalaggio; Lee A. Green; Andrew Cave; Eva Grunfeld

44) per additional action met.ConclusionsA Prevention Practitioner can improve the implementation of clinically important prevention and screening for chronic diseases in a cost-effective manner.


Clinical obesity | 2015

5As Team obesity intervention in primary care: development and evaluation of shared decision-making weight management tools.

Adedayo Osunlana; Jodie Asselin; R. Anderson; Ayodele A Ogunleye; Andrew Cave; Arya M. Sharma; Denise Campbell-Scherer

IntroductionCentralized intake is integral to healthcare systems to support timely access to appropriate health services. The aim of this study was to develop key performance indicators (KPIs) to evaluate centralized intake systems for patients with osteoarthritis (OA) and rheumatoid arthritis (RA).MethodsPhase 1 involved stakeholder meetings including healthcare providers, managers, researchers and patients to obtain input on candidate KPIs, aligned along six quality dimensions: appropriateness, accessibility, acceptability, efficiency, effectiveness, and safety. Phase 2 involved literature reviews to ensure KPIs were based on best practices and harmonized with existing measures. Phase 3 involved a three-round, online modified Delphi panel to finalize the KPIs. The panel consisted of two rounds of rating and a round of online and in-person discussions. KPIs rated as valid and important (≥7 on a 9-point Likert scale) were included in the final set.ResultsTwenty-five KPIs identified and substantiated during Phases 1 and 2 were submitted to 27 panellists including healthcare providers, managers, researchers, and patients in Phase 3. After the in-person meeting, three KPIs were removed and six were suggested. The final set includes 9 OA KPIs, 10 RA KPIs and 9 relating to centralized intake processes for both conditions. All 28 KPIs were rated as valid and important.ConclusionsArthritis stakeholders have proposed 28 KPIs that should be used in quality improvement efforts when evaluating centralized intake for OA and RA. The KPIs measure five of the six dimensions of quality and are relevant to patients, practitioners and health systems.


Obesity | 2017

Redefining obesity: Beyond the numbers

Arya M. Sharma; Denise Campbell-Scherer

BackgroundObesity is a pressing public health concern, which frequently presents in primary care. With the explosive obesity epidemic, there is an urgent need to maximize effective management in primary care. The 5As of Obesity Management™ (5As) are a collection of knowledge tools developed by the Canadian Obesity Network. Low rates of obesity management visits in primary care suggest provider behaviour may be an important variable. The goal of the present study is to increase frequency and quality of obesity management in primary care using the 5As Team (5AsT) intervention to change provider behaviour.Methods/designThe 5AsT trial is a theoretically informed, pragmatic randomized controlled trial with mixed methods evaluation. Clinic-based multidisciplinary teams (RN/NP, mental health, dietitians) will be randomized to control or the 5AsT intervention group, to participate in biweekly learning collaborative sessions supported by internal and external practice facilitation. The learning collaborative content addresses provider-identified barriers to effective obesity management in primary care. Evidence-based shared decision making tools will be co-developed and iteratively tested by practitioners. Evaluation will be informed by the RE-AIM framework. The primary outcome measure, to which participants are blinded, is number of weight management visits/full-time equivalent (FTE) position. Patient-level outcomes will also be assessed, through a longitudinal cohort study of patients from randomized practices. Patient outcomes include clinical (e.g., body mass index [BMI], blood pressure), health-related quality of life (SF-12, EQ5D), and satisfaction with care. Qualitative data collected from providers and patients will be evaluated using thematic analysis to understand the context, implementation and effectiveness of the 5AsT program.DiscussionThe 5AsT trial will provide a wide range of insights into current practices, knowledge gaps and barriers that limit obesity management in primary practice. The use of existing resources, collaborative design, practice facilitation, and integrated feedback loops cultivate an applicable, adaptable and sustainable approach to increasing the quantity and quality of weight management visits in primary care.Trial registrationNCT01967797.


Clinical obesity | 2016

Challenges in interdisciplinary weight management in primary care: lessons learned from the 5As Team study

J. Asselin; Adedayo Osunlana; Ayodele A Ogunleye; Arya M. Sharma; Denise Campbell-Scherer

BackgroundThe objectives of this paper are to describe the planned implementation and evaluation of the Building on Existing Tools to Improve Chronic Disease Prevention and Screening in Primary Care (BETTER 2) program which originated from the BETTER trial. The pragmatic trial, informed by the Chronic Care Model, demonstrated the effectiveness of an approach to Chronic Disease Prevention and Screening (CDPS) involving the use of a new role, the prevention practitioner. The desired goals of the program are improved clinical outcomes, reduction in the burden of chronic disease, and improved sustainability of the health-care system through improved CDPS in primary care.Methods/designThe BETTER 2 program aims to expand the implementation of the intervention used in the original BETTER trial into communities across Canada (Alberta, Ontario, Newfoundland and Labrador, the Northwest Territories and Nova Scotia). This proactive approach provides at-risk patients with an intervention from the prevention practitioner, a health-care professional. Using the BETTER toolkit, the prevention practitioner determines which CDPS actions the patient is eligible to receive, and through shared decision-making and motivational interviewing, develops a unique and individualized `prevention prescription’ with the patient. This intervention is 1) personalized; 2) addressing multiple conditions; 3) integrated through linkages to local, regional, or national resources; and 4) longitudinal by assessing patients over time. The BETTER 2 program brings together primary care providers, policy/decision makers and researchers to work towards improving CDPS in primary care. The target patient population is adults aged 40-65. The reach, effectiveness, adoption, implementation, maintain (RE-AIM) framework will inform the evaluation of the program through qualitative and quantitative methods. A composite index will be used to quantitatively assess the effectiveness of the prevention practitioner intervention. The CDPS actions comprising the composite index include the following: process measures, referral/treatment measures, and target/change outcome measures related to cardiovascular disease, diabetes, cancer and associated lifestyle factors.DiscussionThe BETTER 2 program is a collaborative approach grounded in practice and built from existing work (i.e., integration not creation). The program evaluation is designed to provide an understanding of issues impacting the implementation of an effective approach for CDPS within primary care that may be adapted to become sustainable in the non-research setting.


Clinical obesity | 2015

Missing an opportunity: the embedded nature of weight management in primary care

Jodie Asselin; Adedayo Osunlana; Ayodele A Ogunleye; Arya M. Sharma; Denise Campbell-Scherer

Despite several clinical practice guidelines, there remains a considerable gap in prevention and management of obesity in primary care. To address the need for changing provider behaviour, a randomized controlled trial with convergent mixed method evaluation, the 5As Team (5AsT) study, was conducted. As part of the 5AsT intervention, the 5AsT tool kit was developed. This paper describes the development process and evaluation of these tools. Tools were co‐developed by the multidisciplinary research team and the 5AsT, which included registered nurses/nurse practitioners (n = 15), mental health workers (n = 7) and registered dieticians (n = 7), who were previously randomized to the 5AsT intervention group at a primary care network in Edmonton, Alberta, Canada. The 5AsT tool development occurred through a practice/implementation‐oriented, need‐based, iterative process during learning collaborative sessions of the 5AsT intervention. Feedback during tool development was received through field notes and final provider evaluation was carried out through anonymous questionnaires. Twelve tools were co‐developed with 5AsT. All tools were evaluated as either ‘most useful’ or ‘moderately useful’ in primary care practice by the 5AsT. Four key findings during 5AsT tool development were the need for: tools that were adaptive, tools to facilitate interdisciplinary practice, tools to help patients understand realistic expectations for weight loss and shared decision‐making tools for goal setting and relapse prevention. The 5AsT tools are primary care tools which extend the utility of the 5As of obesity management framework in clinical practice.

Collaboration


Dive into the Denise Campbell-Scherer's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Thea Luig

University of Alberta

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge