Long COVID, myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), and other poorly understood post-acute infection syndromes (PAIS) can present with unexplained symptoms or conditions that may be misunderstood by healthcare providers, causing delays in diagnosis and care. To address these issues, the Centers for Disease Control and Prevention (CDC) funded the Long COVID and Fatiguing Illness Recovery Program (LC&FIRP), initiated as a pilot project to assess whether providing tele-mentoring and other online education for primary care providers could help them improve the quality of life and support the recovery of their patients with these conditions. The LC&FIRP multi-disciplinary team-based care approach is built on the Extension for Community Healthcare Outcomes (ECHO) learning model, which is an evidence-based virtual learning framework developed by the University of New Mexico and designed to disseminate and implement best practices, especially in under-resourced areas. A distinctive feature of LC&FIRP was the inclusion of lived-experience experts. To explore the influence of lived-experience experts on the care patients received, we collected the educational recommendations provided by the lived-experience experts during webinar sessions (January 2022-March 2024) and grouped these by themes. The major themes that emerged included validation of patients' illness experience; attitudes and beliefs about Long COVID, ME/CFS, and PAIS; understanding patients' challenges and communicating with empathy; navigating referrals; recognizing and supporting disability; and supporting self-care. Investigators also interviewed patients of the Family Health Centers of San Diego (FHCSD) about their experiences receiving care from participating primary care providers and employed content analysis methods to code interview transcripts to identify themes among patients' perspectives. Positive comments from the patients about topics emphasized by the lived-experience experts provided evidence of providers' uptake and application of the experts' recommendations and support the value of involving lived-experience experts in medical education to improve health services.

INTRODUCTION: Converging evidence from culturally diverse contexts indicates that sexually explicit media use behavior (SEMB; i.e., pornography consumption) is associated with risky sexual health perceptions and behaviors, many that involve high risks of HIV/STD transmission. AIM: Essentially unexplored, and the focus here, are potential relationships between SEMB and nonsexual mental- and physical-health indicators. MAIN OUTCOME MEASURES: Variability in six continuously measured health indicators (depressive symptoms, mental- and physical-health diminished days, health status, quality of life, and body mass index) was examined across two levels (users, nonusers) of SEMB. METHODS: A sample of 559 Seattle-Tacoma Internet-using adults was surveyed in 2006. Multivariate general linear models parameterized in a SEMB by respondent gender (2 x 2) factorial design were computed incorporating adjustments for several demographics. RESULTS: SEMB was reported by 36.7% (n = 205) of the sample. Most SEMB users (78%) were men. After adjusting for demographics, SEMB users, compared to nonusers, reported greater depressive symptoms, poorer quality of life, more mental- and physical-health diminished days, and lower health status. CONCLUSIONS: The findings show that mental- and physical-health indicators vary significantly across SEMB, suggesting the value of incorporating these factors in future research and programmatic endeavors. In particular, the findings suggest that evidence-based sexual health promotion strategies simultaneously addressing individuals' SEMB and their mental health needs might be a useful approach to improve mental health and address preventable sexual health outcomes associated with SEMB.

OBJECTIVES: We examined how different types of health information-seeking behaviors (HISBs)-no use, illness information only, wellness information only, and illness and wellness information combined-are associated with health risk factors and health indicators to determine possible motives for health information seeking. METHODS: A sample of 559 Seattle-Tacoma area adults completed an Internet-based survey in summer 2006. The survey assessed types of HISB, physical and mental health indicators, health risks, and several covariates. Covariate-adjusted linear and logistic regression models were computed. RESULTS: Almost half (49.4%) of the sample reported HISBs. Most HISBs (40.6%) involved seeking a combination of illness and wellness information, but both illness-only (28.6%) and wellness-only (30.8%) HISBs were also widespread. Wellness-only information seekers reported the most positive health assessments and the lowest occurrence of health risk factors. An opposite pattern emerged for illness-only information seekers. CONCLUSIONS: Our findings reveal a unique pattern of linkages between the type of health information sought (wellness, illness, and so on) and health self-assessment among adult Internet users in western Washington State. These associations suggest that distinct health motives may underlie HISB, a phenomenon frequently overlooked in previous research.

While the internet is emerging as an important transforming mechanism for health care and public health, questions remain about its limitations. Growing evidence indicates that a significant proportion of internet health information consumers is engaging treatment strategies inconsistent with professional recommendations. This study aimed to distinguish internet users who report non-adherence behavior from their counterparts based on several personal and environmental determinants. Using information obtained via the internet to refuse or discontinue treatment recommended by a doctor or dentist proved to be a widespread (11.2%) behavior. Internet health information bolstered non-adherence appears strongly linked with personal determinants such as anxiety, diminishing health, and gender--a pattern consistent with prior adherence research--and with environmental determinants including the perceived importance of both internet health information and internet-facilitated interpersonal interactions as well as using the internet as a social support vehicle. (PsycINFO Database Record (c) 2009 APA, all rights reserved) (journal abstract).