Usual source and better quality of primary care are associated with lower loneliness scores: a cross-sectional study.

BACKGROUND: Loneliness is a global issue, and primary care physicians play an important role in assessing and intervening with loneliness. This study aimed to examine the association between having a usual source of care (USC) or a good quality of primary care, and loneliness. METHODS: This cross-sectional study was conducted in Japan in 2022. A total of 6,000 residents were randomly sampled from the general population, aged 20-74 years. The outcome was the total score of the University of California, Los Angeles (UCLA) 3-item loneliness scale. The exposure included USC and the Person-Centered Primary Care Measure (PCPCM), which assesses the quality of primary care. We conducted a linear regression analysis to adjust for age, sex, educational status, annual household income, self-rated health, living status (whether alone or not), and the existence of physical health problems. RESULTS: Of the 6,000 residents, 1,277 responded to the survey. The median score of the UCLA 3-item loneliness scale was 6.0 and the mean total score of the PCPCM was 2.62. Of the 1,277 individuals, 713 (55.8%) had USC. Having USC was significantly associated with lower scores on the UCLA 3-item loneliness scale; the coefficient was -0.34 (95% confidence interval (CI): -0.57 to -0.12). Also, the total PCPCM score was significantly associated with lower loneliness scores; the coefficient was -0.56 (P < 0.001, 95% CI: -0.78 to -0.35). CONCLUSIONS: Having USC and a better quality primary care were associated with a lower loneliness score. The quality of primary care could be a factor to mitigate patient loneliness.

Loneliness is a global issue, and primary care physicians play an important role in assessing and intervening with loneliness. This study aimed to examine the association between having a usual source of care (USC) or a good quality of primary care, and loneliness. The study was conducted in Japan in 2022. Of the 6,000 residents, 1,277 responded to the survey. After adjusting age, sex, educational status, annual household income, self-rated health, living status, and the existence of physical health problems, having USC was statistically significantly associated with lower scores on the UCLA 3-item loneliness scale. The total scores of the Person-Centered Primary Care Measure were also associated with lower loneliness scale scores. The quality of primary care could be a factor to mitigate patient loneliness.

Influence of the COVID-19 Pandemic on Overall Physician Visits and Telemedicine Use Among Patients With Type 1 or Type 2 Diabetes in Japan.

BACKGROUND: Regular visits with healthcare professionals are important for preventing serious complications in patients with diabetes. The purpose of this retrospective cohort study was to clarify whether there was any suppression of physician visits among patients with diabetes during the spread of the novel coronavirus 2019 (COVID-19) in Japan and to assess whether telemedicine contributed to continued visits. METHODS: We used the JMDC Claims database, which contains the monthly claims reported from July 2018 to May 2020 and included 4,595 (type 1) and 123,686 (type 2) patients with diabetes. Using a difference-in-differences analysis, we estimated the changes in the monthly numbers of physician visits or telemedicine per 100 patients in April and May 2020 compared with the same months in 2019. RESULTS: For patients with type 1 diabetes, the estimates for total overall physician visits were -2.53 (95% confidence interval [CI], -4.63 to 0.44) in April and -8.80 (95% CI, -10.85 to -6.74) in May; those for telemedicine visits were 0.71 (95% CI, 0.47-0.96) in April and 0.54 (95% CI, 0.32-0.76) in May. For patients with type 2 diabetes, the estimates for overall physician visits were -2.50 (95% CI, -2.95 to -2.04) in April and -3.74 (95% CI, -4.16 to -3.32) in May; those for telemedicine visits were 1.13 (95% CI, 1.07-1.20) in April and 0.73 (95% CI, 0.68-0.78) in May. CONCLUSION: The COVID-19 pandemic was associated with suppression of physician visits and a slight increase in the utilization of telemedicine among patients with diabetes during April and May 2020.

Effect size estimates of risk factors for post-intensive care syndrome-family: A systematic review and meta-analysis.

BACKGROUND: Families of patients admitted to ICUs often experience post-intensive care syndrome-family, and previous studies have reported several possible risk factors. However, to date, no meta-analyses have been conducted on the numerous risk factors associated with the development of post-intensive care syndrome-family and how strongly these factors are in association with post-intensive care syndrome-family. OBJECTIVES: To identify risk factors for post-intensive care syndrome-family and determine the effect size of individual risk factors. METHODS: This systematic review used MEDLINE, CINAHL, PsycINFO, and EMBASE databases to search all studies through December 1, 2021, that reported risk factors for anxiety, depression, PTSD, and prolonged grief disorder in the families of adult patients in ICUs. A meta-analysis was conducted to calculate an overall estimate for key risk factors, and odds ratio and 95% confidence intervals were used as summary statistics using the random-effects model. RESULTS: Of 2964 identified studies, 17 were included. Nine factors for anxiety, eight for depression, and three for PTSD were assessed using results from 13 studies. The risk factor with the largest effect size was "history of mental illness," which, along with "female sex," was a significant risk factor common to anxiety, depression, and PTSD. "Poor communication with ICU staff," "severely ill patient," and "patients' spouse" were common risk factors for anxiety and depression. CONCLUSIONS: We identified several risk factors related to patient and family demographic characteristics. Further research is required to identify and validate modifiable risk factors for the psychosocial experiences of families of ICU patients.

Prediction models for neutralization activity against emerging SARS-CoV-2 variants: A cross-sectional study.

Objective: Despite extensive vaccination campaigns to combat the coronavirus disease (COVID-19) pandemic, variants of concern, particularly the Omicron variant (B.1.1.529 or BA.1), may escape the antibodies elicited by vaccination against SARS-CoV-2. Therefore, this study aimed to evaluate 50% neutralizing activity (NT50) against SARS-CoV-2 D614G, Delta, Omicron BA.1, and Omicron BA.2 and to develop prediction models to predict the risk of infection in a general population in Japan. Methods: We used a random 10% of samples from 1,277 participants in a population-based cross-sectional survey conducted in January and February 2022 in Yokohama City, the most populous municipality in Japan. We measured NT50 against D614G as a reference and three variants (Delta, Omicron BA.1, and BA.2) and immunoglobulin G against SARS-CoV-2 spike protein (SP-IgG). Results: Among 123 participants aged 20-74, 93% had received two doses of SARS-CoV-2 vaccine. The geometric means (95% confidence intervals) of NT50 were 65.5 (51.8-82.8) for D614G, 34.3 (27.1-43.4) for Delta, 14.9 (12.2-18.0) for Omicron BA.1, and 12.9 (11.3-14.7) for Omicron BA.2. The prediction model with SP-IgG titers for Omicron BA.1 performed better than the model for Omicron BA.2 (bias-corrected R 2 with bootstrapping: 0.721 vs. 0.588). The models also performed better for BA.1 than for BA.2 (R 2 = 0.850 vs. 0.150) in a validation study with 20 independent samples. Conclusion: In a general Japanese population with 93% of the population vaccinated with two doses of SARS-CoV-2 vaccine, neutralizing activity against Omicron BA.1 and BA.2 were substantially lower than those against D614G or the Delta variant. The prediction models for Omicron BA.1 and BA.2 showed moderate predictive ability and the model for BA.1 performed well in validation data.