Current Weight Management Approaches Used by Primary Care Providers in Six Multidisciplinary Healthcare Settings in Ontario

Primary care family physicians' experiences with clinical integration in qualitative and mixed reviews: a systematic review protocol

INTRODUCTION

Clinical (service) integration in primary care settings describes how comprehensive care is coordinated by family physicians (FPs) over time across healthcare contexts to meet patient care needs. To improve care integration and healthcare service planning, a systematic approach to understanding its numerous influencing factors is paramount. The objective of this study is to generate a comprehensive map of FP-perceived factors influencing clinical integration across diseases and patient demographics.

METHODS AND ANALYSIS

We developed the protocol with the guidance of the Joanna Briggs Institute systematic review methodology framework. An information specialist built search strategies for MEDLINE, EMBASE and CINAHL databases using keywords and MeSH terms iteratively collected from a multidisciplinary team. Two reviewers will work independently throughout the study process, from article selection to data analysis. The identified records will be screened by title and abstract and reviewed in the full text against the criteria: FP in primary care (population), clinical integration (concept) and qualitative and mixed reviews published in 2011-2021 (context). We will first describe the characteristics of the review studies. Then, we will extract qualitative, FP-perceived factors and group them by content similarities, such as patient factors. Lastly, we will describe the types of extracted factors using a custom framework.

ETHICS AND DISSEMINATION

Ethics approval is not required for a systematic review. The identified factors will help generate an item bank for a survey that will be developed in the Phase II study to ascertain high-impact factors for intervention(s), as well as evidence gaps to guide future research. We will share the study findings with various knowledge users to promote awareness of clinical integration issues through multiple channels: publications and conferences for researchers and care providers, an executive summary for clinical leaders and policy-makers, and social media for the public.

Weight Communication: How Do Health Professionals Communicate about Weight with Their Patients in Primary Care Settings?

This study aimed to investigate how health professionals (HPs) communicate about weight with their patients. Semi-structured interviews were conducted with 33 health professionals (7 family physicians, 13 nurse practitioners, and 13 dietitians) working in multidisciplinary healthcare settings in Canada. Thematic analysis revealed four main approaches used by HPs to communicate about weight: 1) Analyzing patient perspectives, 2) focusing on overall health rather than weight, 3) directly addressing the topic, and 4) avoiding the topic. The approach chosen was influenced by HPs' outlook on obesity; for example, those who believed obesity to be a chronic disease did not hesitate to communicate about weight. However, some HPs who reported having obesity mentioned avoiding the topic of weight with their patients and emphasized the importance of establishing a trusting relationship with patients before addressing the topic. The approach chosen by HPs also seemed to be influenced by patient receptiveness, level of readiness, and motivation. Weight communication can be sensitive and the approach used to begin the topic of weight may differ based on patient- and HP factors. Future clinical practice guidelines may benefit from shifting toward communicating about modifiable risk factors rather than weight.

Patients eligible and referred for bariatric surgery in southeastern Ontario: Retrospective cohort study

OBJECTIVE

To evaluate the proportion of eligible individuals, within one health region in Ontario, who were referred for publicly funded medical and surgical weight-loss interventions (MSWLI).

DESIGN

A retrospective cohort study that used primary care data from the Canadian Primary Care Sentinel Surveillance Network (CPCSSN) and referral data from the Ontario Bariatric Network (OBN).

SETTING

Primary care practices within southeastern Ontario that contribute data to CPCSSN.

PARTICIPANTS

Patients with class II (body mass index [BMI] 35.0 to 39.9 kg/m²) or III (BMI ≥ 40 kg/m²) obesity who were eligible for referral to the OBN for MSWLI.

MAIN OUTCOME MEASURES

Primary care data about patients within the CPCSSN database were linked to referral records within the OBN database using 3 indirect identifiers to determine the proportion of patients with class II and III obesity who were referred to the OBN for MSWLI. An adjusted multivariate logistic regression model was used to determine the most significant predictors of referral.

RESULTS

Of the 87 276 patients within one health region in Ontario, 15 526 (17.8%) patients had class II or III obesity and were eligible for referral for MSWLI. Only 966 out of those 15 526 (6.2%) patients were actually referred for MSWLI. In the multivariate regression analysis, BMI had the strongest association with referral in terms of adjusted odds ratio (AOR), varying from 2.50 (95% CI 2.04 to 3.06) for a BMI of 40.0 to 44.9 kg/m², to 5.15 (95% CI 4.21 to 6.30) for a BMI of 50.0 kg/m² or greater. Referral was more likely for female than male patients (AOR = 2.18; 95% CI 1.86 to 2.57), those living rurally than for urban dwellers (AOR = 1.39; 95% CI 1.20 to 1.60), and those aged 30 to 39 (AOR = 1.61; 95% CI 1.24 to 2.09) and 40 to 49 (AOR = 1.53; 95% CI 1.18 to 1.98) compared with other age groups.

CONCLUSION

Within one health region in Ontario, the referral rate of patients with class II and III obesity for MSWLI was low. Our findings highlight the need for further research to understand and address the barriers to referral of patients with class II and III obesity for MSWLI.

The Northumberland Exercise Referral Scheme as a Universal Community Weight Management Programme: A Mixed Methods Exploration of Outcomes, Expectations and Experiences across a Social Gradient

Exercise referral schemes (ERS) are internationally recognised, yet little attention has been paid to discrete referral groups or the influence of wider social determinants of health. The primary quantitative element of this mixed methods study used a mixed effects linear model to examine associations of sociodemographic predictors, obesity class and profession of referrer on weight and physical activity (PA) variables for weight-related referrals (n = 3624) to an established 24-week ERS. Chained equations modelling imputed missing data. The embedded qualitative element (n = 7) used individual semi-structured interviews to explore participant weight-related expectations and experiences. Age, gender and profession of referrer influenced weight loss. PA increased and was influenced by age and gender. The weight gap between the most and least obese narrowed over time but the PA gap between most and least widened. Age, employment and obesity class were most predictive of missing data but would unlikely alter overall conclusions. Qualitative themes were weight-loss support, personal circumstances and strategies, and weight expectations versus wellbeing rewards. This ERS worked, did not widen existing obesity inequalities, but demonstrated evidence of PA inequalities for those living with deprivation. To improve equity of experience, we recommend further stakeholder dialogue around referral experience and ongoing support needs.

Factors affecting access and use of preventive and weight management care: A public health lens

Obesity is an important risk factor for various chronic diseases. While people with obesity use the health system more and incur higher costs, they may forego using preventive care services (e.g., gynecological cancer screenings) due to issues of service use and service access. The aim of this paper was to use a public health lens to elucidate system level factors that affect healthcare access and utilization for preventive and weight management care by patients with obesity. Some elucidated factors include lack of access to a Primary Care Provider (PCP) and multidisciplinary healthcare settings, gender of the PCP, duration of medical visits and health professionals' attitudes about obesity. We highlight potential strategies for leaders to use when improving access and use of health services by patients with obesity in Canada and the need for future empirical studies in this research area.