Needs Assessment for Weight Management: The Learning Health System Network Experience

A large, multi-center survey assessing health, social support, literacy, and self-management resources in patients with heart failure

BACKGROUND

Most patients with heart failure (HF) have multimorbidity which may cause difficulties with self-management. Understanding the resources patients draw upon to effectively manage their health is fundamental to designing new practice models to improve outcomes in HF. We describe the rationale, conceptual framework, and implementation of a multi-center survey of HF patients, characterize differences between responders and non-responders, and summarize patient characteristics and responses to the survey constructs among responders.

METHODS

This was a multi-center cross-sectional survey study with linked electronic health record (EHR) data. Our survey was guided by the Chronic Care Model to understand the distribution of patient-centric factors, including health literacy, social support, self-management, and functional and mental status in patients with HF. Most questions were from existing validated questionnaires. The survey was administered to HF patients aged ≥ 30 years from 4 health systems in PCORnet® (the National Patient-Centered Clinical Research Network): Essentia Health, Intermountain Health, Mayo Clinic, and The Ohio State University. Each health system mapped their EHR data to a standardized PCORnet Common Data Model, which was used to extract demographic and clinical data on survey responders and non-responders.

RESULTS

Across the 4 sites, 10,662 patients with HF were invited to participate, and 3330 completed the survey (response rate: 31%). Responders were older (74 vs. 71 years; standardized difference (95% CI): 0.18 (0.13, 0.22)), less racially diverse (3% vs. 12% non-White; standardized difference (95% CI): -0.32 (-0.36, -0.28)), and had higher prevalence of many chronic conditions than non-responders, and thus may not be representative of all HF patients. The internal reliability of the validated questionnaires in our survey was good (range of Cronbach's alpha: 0.50-0.96). Responders reported their health was generally good or fair, they frequently had cardiovascular comorbidities, > 50% had difficulty climbing stairs, and > 10% reported difficulties with bathing, preparing meals, and using transportation. Nearly 80% of patients had family or friends sit with them during a doctor visit, and 54% managed their health by themselves. Patients reported generally low perceived support for self-management related to exercise and diet.

CONCLUSIONS

More than half of patients with HF managed their health by themselves. Increased understanding of self-management resources may guide the development of interventions to improve HF outcomes.

A model of weight-based stigma in health care and utilization outcomes: Evidence from the learning health systems network

Objective

Obesity is stigmatized and people with obesity report experiencing stigmatizing situations when seeking health care. The implications of these experiences are not well understood. This study tests an indirect effects model of negative care experiences as an intermediate variable between obesity and care avoidance/utilization and switching primary care doctors.

Methods

A survey was completed by 2380 primary care patients in the Learning Health Systems Network (LHSNet) Clinical Data Research Network with a BMI >25 kg/m2. Measures included scales assessing stigmatizing situations, perceived patient-centered communication, perceived respect, having delayed needed care, and having looked for a new primary doctor in the past 12 months. Sequential and serial indirect effects of care experiences and respect in the association between BMI and care utilization outcomes was modeled.

Results

The hypothesized model was supported by findings. The associations between BMI and delaying needed care (OR = 1.06, p < 0.001) and attempting to switch primary doctors (OR = 1.02, p = 0.04) was mediated by both stigmatizing situations experienced in a health care context and lower patient-centered communication. Lower perceived respect mediated the association between care experiences and utilization outcomes.

Conclusions

People with higher BMIs may avoid care or switch doctors as a result of stigmatizing experiences and poor communication with doctors. These outcomes may contribute to morbidity in people with obesity if they delay or avoid care for health concerns when symptoms first present.

Obesity Management Education Needs Among General Internists: A Survey

Objective

The purpose of this study was to determine self-reported knowledge, attitudes, prior experience, and perceived needs for the management of overweight and obese patients within a General Internal Medicine Practice.

Patients and Methods

An emailed cross-sectional survey was sent between June 20, 2019 and September 12, 2019 to 194 healthcare workers (93 primary care providers (PCPs) and 101 nurses) which focused on management of patients with weight issues.

Results

In total, 80 of the eligible 194 participants completed the survey (nurses = 42, PCPs = 38). Up to 87% were white, 74.7% female (74.7%). Most of the responders were either in the age group of 30’s (30%) or 50’s (30%). Among the responders, 48.8% reported some type of specialty training in weight management since their medical training with lectures being the most common form of training (36%). When asked about their interest in either weight management training or strategies to initiate weight conversations, 79% of the respondents reported an interest in education on weight management or strategies to initiate weight conversations, while 65.8% indicated they would be interested in both topics.

Conclusion

Our study suggests that healthcare workers have a self-reported need for further training in management of overweight and obese patients, irrespective of previous training in this area.

Do Missing Values Influence Outcomes in a Cross-sectional Mail Survey?

Objective

To determine the effects of missing and inconsistent data on a weight management mail survey results.

Patients and Methods

Weight management surveys were sent to 5000 overweight and obese individuals in the Learning Health System Network. Survey information was collected between October 27, 2017, and March 1, 2018. Some participants reported body mass index (BMI) values inconsistent with the intended overweight and obese sampling cohort. Analyses were performed after excluding these surveys and also performed again after setting these low BMI values to missing. Models were run after imputing missing values using expectation-maximization, Markov chain Monte Carlo, random forest imputation, multivariate imputation by chained equations, and multiple imputation and replacing missing BMI values with the minimum, maximum, mean, or median of the known BMI values.

Results

Of 2799 surveys, 222 (8%) had missing BMI values and 155 (6%) reported invalid BMI values. Overall, 725 of these 2799 surveys (26%) were missing at least 1 variable that was essential to the main analyses. Different imputation methods consistently found that BMI was related to age, sex, race, marital status, and education. Patients with a BMI of 35.0 kg/m² or greater were more likely to feel judged because of their weight, and patients with a BMI of 40.0 kg/m² or greater were more likely to feel they were not always treated with respect and treated as an equal.

Conclusion

Analyses using different imputation methods were consistent with the original published results. Missing data likely did not affect the study results.

Associations Between Experience of Early Childhood Trauma and Impact on Obesity Status, Health, as Well as Perceptions of Obesity-Related Health Care

OBJECTIVE

To evaluate the association between obesity and history of childhood trauma in an effort to define implications for the provider-patient relationship and possible causes of failure of obesity treatment.

METHODS

Multisite survey developed by the Patient-Centered Outcomes Research Institute Learning Health Systems Obesity Cohort Workgroup consisting of 49 questions with 2 questions focusing on history of being a victim of childhood physical and/or sexual abuse was mailed to 19,964 overweight or obese patients. Data collection for this survey occurred from October 27, 2017, through March 1, 2018.

RESULTS

Among the 2211 surveys included in analysis, respondents reporting being a victim of childhood abuse increased significantly with obesity (23.6%, 26.0%, 29.1%, and 36.8% for overweight, class I, class II, and class III obesity, respectively; P<.001). A higher percentage of those who reported being a victim of childhood abuse noted that their weight issues began at an earlier age (P=.002) and were more likely to have weight-related comorbidities (P<.001), even after controlling for body mass index. Impacting physician counseling on weight loss, patients who were childhood victims of abuse reported lower self-esteem (P<.001), were more likely to feel judged by their health care providers (P=.009), and less likely to feel being treated with respect (P=.045).

CONCLUSION

Overall, being a victim of childhood abuse was significantly associated with obesity, lower self-esteem and negative experiences interacting with health care providers. Health care providers should receive training to ensure open and nonjudgmental visits with obese patients and consider the role of trauma survivorship issues in patients' development of obesity and health care experiences.

Identification of Barriers to Adherence to a Weight Loss Diet in Women Using the Nominal Group Technique

Background: At any given time, a majority of women are engaged in some type of weight loss diet; however, these efforts are difficult to sustain for long-term weight control. Because women are more likely to develop obesity and suffer a greater severity of obesity-related health and economic consequences, we sought to identify the key factors that make adhering to a weight loss diet difficult for overweight/obese women. Methods: Ten nominal group technique (NGT) sessions aimed at identifying perceived barriers to adherence to a weight loss diet were conducted as part of a weight loss study for overweight/obese women (n = 33) during the controlled feeding weight loss phase. Results: Individual-level barriers to emerge from the sessions included knowing when to stop eating, being able to control cravings and emotional eating, and sustaining healthier dietary habits. Environmental-level barriers included family/social events that bring people together, especially those centered around food and drink, eating out, cost, and busy schedules. Conclusions: These findings offer a deeper understanding of barriers women find most salient to adhering to a weight loss diet, providing direction for the clinical application of weight loss programs.

Identifying Opportunities for Advancing Weight Management in Primary Care

Objective: Much has been written about the patients' perspective concerning weight management in health care. The purpose of this survey study was to assess perspectives of primary care providers (PCPs) and nurses toward patient weight management and identify possible areas of growth. Patients and Methods: We emailed a weight management-focused survey to 674 eligible participants (437 [64.8%] nurses and 237 [35.2%] PCPs) located in 5 outpatient primary care clinics. The survey focused on opportunities, practices, knowledge, confidence, attitudes, and beliefs. A total of 219 surveys were returned (137 [62.6%] from nurses and 82 [34.4%] from PCPs). Results: Among 219 responders, 85.8% were female and 93.6% were white non-Hispanic. In this study, PCPs and nurses believed obesity to be a major health problem. While PCPs felt more equipped than nurses to address weight management (P < .001) and reported receiving more training than nurses (50.0% vs 17.6%, respectively), both felt the need for more training on obesity (73.8% and 79.4%, respectively). Although, PCPs also spent more patient contact time providing weight management services versus nurses (P < .001), the opportunity/practices score was lower for PCPs than nurses (-0.35 ± 0.44 vs -0.17 ± 0.41, P < .001) with PCPs more likely to say they lacked the time to discuss weight and they worried it would cause a poor patient-PCP relationship. The knowledge/confidence score also differed significantly between the groups, with nurses feeling less equipped to deal with weight management issues than PCPs (-0.42 ± 0.43 vs -0.03 ± 0.55, P < .001). Neither group seemed very confident, with those in the PCP group only answering with an average score of neutral. Conclusion: By asking nurses and PCP general questions about experiences, attitudes, knowledge, and opinions concerning weight management in clinical care, this survey has identified areas for growth in obesity management. Both PCPs and nurses would benefit from additional educational training on weight management.

Sauver J, Phelan SM, Croghan IT. Experience and expectations of patients on weight loss: The Learning Health System Network Experience

OBJECTIVE

Weight perception and degree of confidence in achieving healthy lifestyle can be determinants of engagement in obesity interventions. This study explored patients' perceived need for weight loss and the degree of self-confidence in ability to lose weight and sought to identify factors associated with patients' self-confidence in ability to lose weight.

METHODS

The authors analysed data from a survey mailed to primary care patients within five sites of the Learning Health Systems Network that explored participants' prior experience with weight management.

RESULTS

Among the 2,263 participants who completed the survey section on 'Patients' Experience with Weight Management', perceived need to lose 51 lb or more was statistically significant among those with class III obesity compared with other body mass index (BMI) groups (p value < 0.001). Reported desire to lose weight was also significantly higher among those with the highest BMI than those who were overweight (p value < 0.001). However, this same group had the lowest belief in ability to lose weight (p value < 0.001). In a multiple regression analysis, female gender, higher BMI and need to lose >10 lb were each independently associated with less belief in being able to lose weight.

CONCLUSIONS

Patients had varying perceptions on weight loss; those with category III obesity had the highest desire to lose weight but had the least confidence in ability to lose weight. Higher BMI, female gender and need to lose >10 lb were associated with decreased self-confidence in ability to lose weight.