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Objective: Current studies have indicated that diabetes mellitus (DM) is highly prevalent in patients with cancer, but there is little research on consequences on the well-being of patients during cancer treatment. This analysis evaluates the relationship between DM and patient-reported outcomes (PRO) in patients with cancer, using a large and well-characterized cohort., Methods: This study utilized the Total Cancer Care protocol at the University of Utah Huntsman Cancer Institute. For this analysis, we integrated data from electronic health records, the Huntsman Cancer Registry, and routinely collected PRO questionnaires. We assessed the association between DM in patients with cancer and PRO scores for anxiety, depression, fatigue, pain interference, and physical function using multiple linear regression and t-tests., Results: The final cohort comprised 3512 patients with cancer, with a mean age of 57.8 years at cancer diagnosis. Of all patients, 49.1% (n = 1724) were female, with 82.0% (n = 2879) patients reporting PROs at least at one time point. Compared with patients who responded, nonresponders were more often female (p = 0.0035), less frequently non-Hispanic White (p = 0.0058), and had a higher BMI (p = 0.0759). Patients with cancer and diabetes had worse PRO scores for anxiety (p = 0.0003), depression (p < 0.0001), fatigue (p < 0.0001), pain interference (p < 0.0001), and physical function (p < 0.0001) compared to patients with cancer without diabetes. Significant associations between diabetes and PRO scores were observed for anxiety (β ± SE: 1.27 ± 0.48; p = 0.0076), depression (β ± SE: 1.46 ± 0.45; p = 0.0011), fatigue (β ± SE: 2.11 ± 0.52; p < 0.0001), pain interference (β ± SE: 1.42 ± 0.50; p = 0.0046), and physical function (β ± SE: -2.74 ± 0.48; p < 0.0001)., Conclusions: The results of this study suggest that patients with cancer and diabetes may be at greater risk for anxiety, depression, fatigue, higher pain interference, and reduced physical function. Strengthening diabetes management is imperative to address the negative impact of diabetes on PROs. In particular, this may be true for patients with skin, breast, prostate, and kidney cancer., (© 2024 The Author(s). Cancer Medicine published by John Wiley & Sons Ltd.)

Background: For many patients with post-COVID-19 condition (long COVID), primary care is the first point of interaction with the health care system. In principle, primary care is well situated to manage long COVID. Beyond expressions of disempowerment, however, the patient's perspective regarding the quality of long COVID care is lacking. Therefore, this study aimed to analyze the expectations and experiences of primary care patients seeking treatment for long COVID., Methods: A phenomenological approach guided this analysis. Using purposive sampling, we conducted semistructured interviews with English-speaking, adult primary care patients describing symptoms of long COVID. We deidentified and transcribed the recorded interviews. Transcripts were analyzed using inductive qualitative content analysis., Results: This article reports results from 19 interviews (53% female, mean age = 54 years). Patients expected their primary care practitioners (PCPs) to be knowledgeable about long COVID, attentive to their individual condition, and to engage in collaborative processes for treatment. Patients described 2 areas of experiences. First, interactions with clinicians were perceived as positive when clinicians were honest and validating, and negative when patients felt dismissed or discouraged. Second, patients described challenges navigating the fragmented US health care system when coordinating care, treatment and testing, and payment., Conclusion: Primary care patients' experiences seeking care for long COVID are incongruent with their expectations. Patients must overcome barriers at each level of the health care system and are frustrated by the constant challenges. PCPs and other health care professionals might increase congruence with expectations and experiences through listening, validating, and advocating for patients with long COVID. Annals Early Access article., (© 2024 Annals of Family Medicine, Inc.)

Background: Current research on post-COVID-19 conditions (PCC) has focused on hospitalized COVID-19 patients, and often lacks a comparison group. This study assessed the prevalence of PCC in non-hospitalized COVID-19 primary care patients compared to primary care patients not diagnosed with COVID-19., Methods: This cross-sectional, population-based study (n = 2539) analyzed and compared the prevalence of PCC in patients with a positive COVID-19 test (n = 1410) and patients with a negative COVID-19 test (n = 1129) never hospitalized for COVID-19 related conditions. Participants were identified using electronic health records and completed an electronic questionnaire, available in English and Spanish, including 54 potential post COVID-19 symptoms. Logistic regression was conducted to assess the association of PCC with COVID-19., Results: Post-COVID-19 conditions are prevalent in both groups, and significantly more prevalent in patients with COVID-19. Strong significant differences exist for the twenty most reported conditions, except for anxiety. Common conditions are fatigue (59.5% (COVID-19 positive) vs. 41.3% (COVID-19 negative); OR 2.15 [1.79-2.60]), difficulty sleeping (52.1% (positive) vs. 41.9% (negative); OR 1.42 [1.18-1.71]) and concentration problems (50.6% (positive) vs 28.5% (negative); OR 2.64 [2.17-3.22]). Similar disparities in prevalence are also observed after comparing two groups (positive vs. negative) by age, sex, time since testing, and race/ethnicity., Conclusions: PCC is highly prevalent in non-hospitalized COVID-19 patients in primary care. However, it is important to note that PCC strongly overlaps with common health symptoms seen in primary care, including fatigue, difficulty sleeping, and headaches, which makes the diagnosis of PCC in primary care even more challenging., (© 2024. The Author(s).)

Background: The COVID-19 pandemic in 2020 led to the rapid adoption of telemedicine, including virtual visits, to minimize face-to-face contact between clinicians and patients. Family medicine clinics across the nation had to transform how they provided primary care while maintaining the core values of family medicine. The objective of this study was to analyze how family medicine faculty perceived the impact of virtual visits on patient access to care., Methods: This qualitative study took place in an academic primary care setting. We interviewed clinical faculty who utilized virtual visits about their experiences from June to December 2020. We used qualitative content analysis to evaluate the results of the interviews., Results: The study included a total of 20 participants. The mean age was 43.4 years, and 85% of participants were female. Researchers developed 3 themes, "Logistics of virtual visits," "reigniting the concept of home visits," and "barriers and benefits that affect specific patient populations" that describe how virtual visits have impacted patients' access to care. The results highlight how virtual visits improve access to care by increasing flexibility for patients and providers and provide a new perspective into a patient's home life. Challenges of virtual visits include language barriers, technological issues, and issues unique to vulnerable patient populations., Conclusion: Virtual visits can enhance family medicine's ability to provide accessible care, but there are concerns it may worsen health disparities. Further research and quality improvement projects are needed to examine ways to implement innovative care delivery solutions to avoid further exacerbating these disparities., Competing Interests: Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Background: This study aimed to understand the prevalence of prediabetes (preDM) and diabetes mellitus (DM) in patients with cancer overall and by tumor site, cancer treatment, and time point in the cancer continuum., Methods: This cohort study was conducted at Huntsman Cancer Institute at the University of Utah. Patients with a first primary invasive cancer enrolled in the Total Cancer Care protocol between July 2016 and July 2018 were eligible. Prevalence of preDM and DM was based on ICD code, laboratory tests for hemoglobin A1c, fasting plasma glucose, nonfasting blood glucose, or insulin prescription., Results: The final cohort comprised 3,512 patients with cancer, with a mean age of 57.8 years at cancer diagnosis. Of all patients, 49.1% (n=1,724) were female. At cancer diagnosis, the prevalence of preDM and DM was 6.0% (95% CI, 5.3%-6.8%) and 12.2% (95% CI, 11.2%-13.3%), respectively. One year after diagnosis the prevalence was 16.6% (95% CI, 15.4%-17.9%) and 25.0% (95% CI, 23.6%-26.4%), respectively. At the end of the observation period, the prevalence of preDM and DM was 21.2% (95% CI, 19.9%-22.6%) and 32.6% (95% CI, 31.1%-34.2%), respectively. Patients with myeloma (39.2%; 95% CI, 32.6%-46.2%) had the highest prevalence of preDM, and those with pancreatic cancer had the highest prevalence of DM (65.1%; 95% CI, 57.0%-72.3%). Patients who underwent chemotherapy, radiotherapy, or immunotherapy had a higher prevalence of preDM and DM compared with those who did not undergo these therapies., Conclusions: Every second patient with cancer experiences preDM or DM. It is essential to foster interprofessional collaboration and to develop evidence-based practice guidelines. A better understanding of the impact of cancer treatment on the development of preDM and DM remains critical.