Weight Management Treatment Representations: A Novel Use of the Common Sense Model.

We used the Common Sense Model to understand weight management treatment representations of diverse patients, conducting semistructured interviews with 24 veterans with obesity, recruited from multiple U.S. Veterans Health Administration facilities. We performed a directed content analysis to summarize representations and assess differences across demographic groups. Patients' representations were impacted by gender, socioeconomic status, and disability status, creating group differences in available treatment (e.g., disability-related limitations), negative consequences (e.g., expense), treatment timeline (e.g., men emphasized long-term lifestyle changes), and treatment models (e.g., women described medically driven models). Patients identified conventional representations aligning with medical recommendations and relating to positive consequences, long-term treatment timelines, and medically driven models. Finally, patients discussed risky representations, including undesirable attitudes related to short-term positive and negative consequences and long-term negative consequences. Applying the Common Sense Model emphasized diverse representations, influenced by patients' identities. Understanding representations may improve treatment to meet the needs of diverse preferences.

Common Sense Models of Obesity: a Qualitative Investigation of Illness Representations.

BACKGROUND: The Common Sense Model provides a framework to understand health beliefs and behaviors. It includes illness representations comprised of five domains (identity, cause, consequences, timeline, and control/cure). While widely used, it is rarely applied to obesity, yet could explain self-management decisions and inform treatments. This study answered the question, what are patients' illness representations of obesity?; and examined the Common Sense Model's utility in the context of obesity. METHODS: Twenty-four participants with obesity completed semi-structured phone interviews (12 women, 12 men). Directed content analysis of transcripts/notes was used to understand obesity illness representations across the five illness domains. Potential differences by gender and race/ethnicity were assessed. RESULTS: Participants did not use clinical terms to discuss weight. Participants' experiences across domains were interconnected. Most described interacting life systems as causing weight problems and used negative consequences of obesity to identify it as a health threat. The control/cure of obesity was discussed within every domain. Participants focused on health and appearance consequences (the former most salient to older, the latter most salient to younger adults). Weight-related timelines were generally chronic. Women more often described negative illness representations and episodic causes (e.g., pregnancy). No patterns were identified by race/ethnicity. CONCLUSIONS: The Common Sense Model is useful in the context of obesity. Obesity illness representations highlighted complex causes and consequences of obesity and its management. To improve weight-related care, researchers and clinicians should focus on these beliefs in relation to preferred labels for obesity, obesity's most salient consequences, and ways of monitoring change.

Adoption and Appropriateness of mHealth for Weight Management in the Real World: A Qualitative Investigation of Patient Perspectives.

BACKGROUND: Mobile health (mHealth) interventions for weight management can result in weight loss outcomes comparable to in-person treatments. However, there is little information on implementing these treatments in real-world settings. OBJECTIVE: This work aimed to answer two implementation research questions related to mHealth for weight management: (1) what are barriers and facilitators to mHealth adoption (initial use) and engagement (continued use)? and (2) what are patient beliefs about the appropriateness (ie, perceived fit, relevance, or compatibility) of mHealth for weight management? METHODS: We conducted semistructured interviews with patients with obesity at a single facility in an integrated health care system (the Veterans Health Administration). All participants had been referred to a new mHealth program, which included access to a live coach. We performed a rapid qualitative analysis of interviews to identify themes related to the adoption of, engagement with, and appropriateness of mHealth for weight management. RESULTS: We interviewed 24 veterans, seven of whom used the mHealth program. Almost all participants were ≥45 years of age and two-thirds were White. Rapid analysis identified three themes: (1) coaching both facilitates and prevents mHealth adoption and engagement by promoting accountability but leading to guilt among those not meeting goals; (2) preferences regarding the mode of treatment delivery, usability, and treatment content were barriers to mHealth appropriateness and adoption, including preferences for in-person care and a dislike of self-monitoring; and (3) a single invitation was not sufficient to facilitate adoption of a new mHealth program. Themes were unrelated to participants' age, race, or ethnicity. CONCLUSIONS: In a study assessing real-world use of mHealth in a group of middle-aged and older adults, we found that-despite free access to mHealth with a live coach-most did not complete the registration process. Our findings suggest that implementing mHealth for weight management requires more than one information session. Findings also suggest that focusing on the coaching relationship and how users' lives and goals change over time may be an important way to facilitate engagement and improved health. Most participants thought mHealth was appropriate for weight management, with some nevertheless preferring in-person care. Therefore, the best way to guarantee equitable care will be to ensure multiple routes to achieving the same behavioral health goals. Veterans Health Administration patients have the option of using mHealth for weight management, but can also attend group weight management programs or single-session nutrition classes or access fitness facilities. Health care policy does not allow such access for most people in the United States; however, expanded access to behavioral weight management is an important long-term goal to ensure health for all.

Functioning of adults in alcohol use disorder treatment: Role of concerned others.

OBJECTIVE: This study examined patients in treatment for alcohol use disorders ("Patients") and their "concerned others" (COs-family and friends): (1) Did Patients' functioning differ according to COs' study participation? Among Patients with participating COs, (2) did Patients and COs agree on Patients' functioning, and (3) was Patients' functioning associated with COs' functioning and quality of CO-Patient relationships? METHOD: Four-hundred and two Patients (mean age = 44, majority white men) and 277 COs (mean age = 52, majority white women) completed validated assessments. RESULTS: (1) Unexpectedly, Patients who did not identify a CO for potential study participation had more protective factors against future substance use and more readiness to participate in Alcoholics Anonymous (AA) than patients who did identify a CO. (2) Patients had higher scores than COs did when rating the Patient's protective factors, viewed the Patient-CO relationship as having more resources and fewer stressors than COs did, and reported fewer incidents of violence toward the CO than the CO did. (3) Patients had higher risk factors scores when their COs binge drank, and the Patient-CO relationship had more stressors and violence. Patients had higher protective factors scores when COs had greater readiness for Al-Anon participation, and Patients had attended more AA meetings, reported more resources in their relationship with their CO, and used more negotiation tactics when in conflict with their CO. CONCLUSIONS: Findings suggest that interventions to improve Patients' functioning should be broadened beyond COs who are spouses or partners, decrease COs' binge drinking, facilitate 12-step participation, decrease relationship stressors and conflict, and increase relationship resources.