Ecological momentary assessment of pelvic pain and urinary urgency variability in urologic chronic pelvic pain syndrome and their association with illness impact and quality of life: Findings from the multidisciplinary approach to the study of chronic pelvic pain symptom patterns study.

PURPOSE: This study tested the hypothesis that ecological momentary assessment (EMA) of pelvic pain (PP) and urinary urgency (UU) would reveal unique Urologic Chronic Pelvic Pain Syndrome (UCPPS) phenotypes that would be associated with disease specific quality of life (QOL) and illness impact metrics (IIM). MATERIALS AND METHODS: A previously validated smart phone app (M-app) was provided to willing Multidisciplinary Approach to the Study of Chronic Pelvic Pain (MAPP) participants. M-app notifications were sent 4-times daily for 14 days inquiring about PP and UU severity. A clustering algorithm that accounted for variance placed participants into PP and UU variability? clusters. Associations between clusters and QOL and IIM were then determined. RESULTS: A total of 204 participants enrolled in the M-app study (64% female). M-app compliance was high (median 63% of surveys). Cluster analysis revealed k = 3 (high, low, none) PP clusters and k = 2 (high, low) UU clusters. When adjusting for baseline pain severity, high PP variability, but not UU variability, was strongly associated with QOL and IIM; specifically worse mood, worse sleep and higher anxiety. UU and PP clusters were associated with each other (p < 0.0001), but a large percentage (33%) of patients with high PP variability had low UU variability. CONCLUSIONS: PP variability is an independent predictor of worse QOL and more severe IIM in UCPPS participants after controlling for baseline pain severity and UU. These findings suggest alternative pain indices, such as pain variability and unpredictability, may be useful adjuncts to traditional measures of worst and average pain when assessing UCPPS treatment responses.

Clinical and Economic Impact of COVID-19 on Agricultural Workers, Guatemala1.

We evaluated clinical and socioeconomic burdens of respiratory disease in banana farm workers in Guatemala. We offered all eligible workers enrollment during June 15-December 30, 2020, and annually, then tracked them for influenza-like illnesses (ILI) through self-reporting to study nurses, sentinel surveillance at health posts, and absenteeism. Workers who had ILI submitted nasopharyngeal swab specimens for testing for influenza virus, respiratory syncytial virus, and SARS-CoV-2, then completed surveys at days 0, 7, and 28. Through October 10, 2021, a total of 1,833 workers reported 169 ILIs (12.0 cases/100 person-years), and 43 (25.4%) were laboratory-confirmed infections with SARS-CoV-2 (3.1 cases/100 person-years). Workers who had SARS-CoV-2‒positive ILIs reported more frequent anosmia, dysgeusia, difficulty concentrating, and irritability and worse clinical and well-being severity scores than workers who had test result‒negative ILIs. Workers who had positive results also had greater absenteeism and lost income. These results support prioritization of farm workers in Guatemala for COVID-19 vaccination.

A study of drug attitude and medication adherence and its relationship with the impact of illness among the mentally ill

Abstract Background Impact of illness may vary with the medication adherence which in turn may vary with the attitude towards drugs. There is a paucity of research examining relationships between these variables. Objective To study the levels of drug attitude, adherence and its relationship with the impact of illness. Methods A total of 279 participants with mental illness in remission were assessed with socio-demographic and clinical proforma, scales like Hogan Drug Attitude Inventory (DAI), Impact of Illness Scale (IIS), and Morisky Medication Adherence Scale (MMAS) were used. Result Mean score on DAI, IIS, and MMAS were 2.38 (SD = 4.6), 25.88 (SD = 6.6), and 5.04 (SD = 2.2) respectively. On linear regression analysis (R2 = .122, DF = 2, F = 17.598, p < .001) IIS Score was statistically significant but negatively associated with the score of MMAS (p < .05) and DAI (p < .05). Discussion Impact of illness has an inverse relationship with the level of drug attitude and medication adherence. Improving drug attitude and adherence may buffer the impact of illness.