Search

Background and Objectives Clinical practice guidelines recommend noninvasive nonpharmacological pain therapies; however, reviews that assess the literature pertaining to nonpharmacological pain management among older adults and people with long-term disabilities who are disproportionately affected by pain are lacking. This scoping review aimed to systematically map and characterize the existing studies about the receipt of noninvasive, nonpharmacological pain therapies by Medicare beneficiaries. Research Design and Methods We conducted a literature search in MEDLINE (PubMed), CINAHL (EBSCO), SocINDEX (EBSCO), Cochrane Library, Web of Science citation indices, and various sources of gray literature. The initial search was conducted on November 2, 2021, and updated on March 9, 2022. Two independent reviewers screened titles, abstracts, and full texts for inclusion and extracted the characteristics of the studies, studied populations, and nonpharmacological pain therapies. Data were summarized using tabular and narrative formats. Results The final review included 33 studies. Of these, 24 were quantitative, 7 were qualitative, and 2 were mixed-methods studies. Of 32 studies that focused on Medicare beneficiaries, 10 did not specify the Medicare type, and all but one of the remaining studies were restricted to fee-for-service enrollees. Back and neck pain and arthritis were the most commonly studied pain types. Chiropractic care (n  = 19) and physical therapy (n  = 17) appeared frequently among included studies. The frequency and/or duration of nonpharmacological treatment were mentioned in 13 studies. Trends in the utilization of nonpharmacological pain therapies were assessed in 6 studies but none of these studies went beyond 2008. Discussion and Implications This scoping review found that manipulative therapies, mainly chiropractic, have been the most widely studied approaches for nonpharmacological pain management in the Medicare population. The review also identified the need for future research that updates trend data and addresses contemporary issues such as rising Medicare Advantage enrollment and promulgation of practice guidelines for pain management. [ABSTRACT FROM AUTHOR]

Background Clinically useful predictors for fatal toxoplasmosis are lacking. We investigated the value of serological assays for antibodies to whole Toxoplasma antigens and to peptide antigens of the Toxoplasma cyst matrix antigen 1 (MAG1), for predicting incident toxoplasmic encephalitis (TE) in people living with human immunodeficiency virus (HIV; PLWH). Methods We performed a nested case control study, conducted within the Multicenter AIDS Cohort Study (MACS), using serum samples obtained 2 years prior to diagnosis of TE from 28 cases, and 37 HIV disease-matched Toxoplasma seropositive controls at matched time-points. Sera were tested for Toxoplasma antibodies using a commercial assay and for antibodies to MAG1_4.2 and MAG1_5.2 peptides in enzyme-linked immunosorbent assay (ELISA). Results Two years prior to clinical diagnosis, 68% of TE cases were MAG1_4.2 seropositive compared with 16% of controls (odds ratio [OR] 25.0, 95% confidence interval [CI] 3.14–199.18). Corresponding results for MAG1_5.2 seropositivity were 36% and 14% (OR 3.6, 95% CI.95–13.42). Higher levels of antibody to MAG1_4.2 (OR 18.5 per doubling of the optical density [OD] value, 95% CI 1.41–242) and to Toxoplasma (OR 2.91 for each OD unit increase, 95% CI 1.48–5.72) were also associated with the risk of TE. When seropositivity was defined as the presence of MAG1 antibody or relatively high levels of Toxoplasma antibody, the sensitivity was 89% and specificity was 68% for subsequent TE. Conclusions Antibodies to MAG1 showed predictive value on the occurrence of TE in PLWH, and the predictive performance was further improved by adding the levels of Toxoplasma antibody. These measures could be clinically useful for predicting subsequent diseases in multiple at-risk populations. [ABSTRACT FROM AUTHOR]

In 2019, the National Institutes of Health combined the Multicenter AIDS Cohort Study (MACS) and the Women's Interagency HIV Study (WIHS) into the MACS/WIHS Combined Cohort Study (MWCCS). In this paper, participants who made a study visit during October 2018–September 2019 (targeted for MWCCS enrollment) are described by human immunodeficiency virus (HIV) serostatus and compared with people living with HIV (PLWH) in the United States. Participants include 2,115 women and 1,901 men with a median age of 56 years (interquartile range, 48–63); 62% are PLWH. Study sites encompass the South (18%), the Mid-Atlantic/Northeast (45%), the West Coast (22%), and the Midwest (15%). Participant race/ethnicity approximates that of PLWH throughout the United States. Longitudinal data and specimens collected for 35 years (men) and 25 years (women) were combined. Differences in data collection and coding were reviewed, and key risk factor and comorbidity data were harmonized. For example, recent use of alcohol (62%) and tobacco (28%) are common, as are dyslipidemia (64%), hypertension (56%), obesity (42%), mildly or severely impaired daily activities (31%), depressive symptoms (28%), and diabetes (22%). The MWCCS repository includes serum, plasma, peripheral blood mononuclear cells, cell pellets, urine, cervicovaginal lavage samples, oral samples, B-cell lines, stool, and semen specimens. Demographic differences between the MACS and WIHS can confound analyses by sex. The merged MWCCS is both an ongoing observational cohort study and a valuable resource for harmonized longitudinal data and specimens for HIV-related research. [ABSTRACT FROM AUTHOR]

Measurement error, although ubiquitous, is uncommonly acknowledged and rarely assessed or corrected in epidemiologic studies. This review offers a straightforward guide to common problems caused by measurement error in research studies and a review of several accessible bias-correction methods for epidemiologists and data analysts. Although most correction methods require criterion validation including a gold standard, there are also ways to evaluate the impact of measurement error and potentially correct for it without such data. Technical difficulty ranges from simple algebra to more complex algorithms that require expertise, fine tuning, and computational power. However, at all skill levels, software packages and methods are available and can be used to understand the threat to inferences that arises from imperfect measurements. [ABSTRACT FROM AUTHOR]