Chronic pain disproportionately affects medically and psychosocially complex patients, many of whom are at high risk of hospitalisation. Pain prevalence among high-risk patients, however, is unknown, and pain is seldom a focus for improving high-risk patient outcomes. Our objective is to (1) evaluate pain frequency in a high-risk patient population and (2) identify intensive management (IM) programme features that patients and providers perceive as important for promoting patient-centred pain care within primary care (PC)-based IM.

Secondary observational analysis of quantitative and qualitative evaluation data from a multisite randomised PC-based IM programme for high-risk patients.

Five integrated local Veterans Affairs (VA) healthcare systems within distinct VA administrative regions.

Staff and high-risk PC patients in the VA.

A multisite randomised PC-based IM programme for high-risk patients.

(a) Pain prevalence based on VA electronic administrative data and (b) transcripts of interviews with IM staff and patients that mentioned pain.

Most (70%, 2593/3723) high-risk patients had at least moderate pain. Over one-third (38%, 40/104) of the interviewees mentioned pain or pain care. There were 89 pain-related comments addressing IM impacts on pain care within the 40 interview transcripts. Patient-identified themes were that IM improved communication and responsiveness to pain. PC provider-identified themes were that IM improved workload and access to expertise. IM team member-identified themes were that IM improved pain care coordination, facilitated non-opioid pain management options and mitigated provider compassion fatigue. No negative IM impacts on pain care were mentioned.

Pain is common among high-risk patients. Future IM evaluations should consider including a focus on pain and pain care, with attention to impacts on patients, PC providers and IM teams.

Urinary tract infections (UTIs) stand as a prominent global health concern. This study entails a 5-year retrospective analysis, using a cross-sectional study design to examine microbiology laboratory data of individuals clinically diagnosed with UTIs at Bugando Medical Centre to gain insights into the prevalence and factors linked to candiduria.

Data extracted were meticulously cleaned and coded in an MS Excel sheet, subsequently transferred to STATA V.15 for analysis. Binary logistic regression analysis was used to identify factors associated with candiduria. A probability value below 0.05 at a 95% CI was considered statistically significant.

Urine samples for culture and sensitivity comprised 33.4% (20755) of the total biological samples (62335). The median age of the patients stood at 19 years. A slight majority were female, accounting for 52.8% (10051), and two-thirds sought treatment at outpatient departments (67.5%, 12843). Among patients with significant pathogenic growth, the prevalence of candiduria was 4.6% (221 out of 4772). Notably, inpatients exhibited a higher incidence of candiduria compared with outpatients, with rates of 9.4% (1882) versus 1.6% (2890), p value of 0.000. Non-albicans Candida spp. (NAC) remained the most prevalent pathogen. Factors significantly associated with candiduria included being female (OR=1.7, 95% CI 1.3 to 2.3) and hospital admission (OR=6.6, 95% CI 4.7 to 9.2). In conclusion, candiduria affect 5 out of every 100 UTI-diagnosed patients, predominantly among females and those admitted to the hospital. Clinicians at tertiary hospitals should consider urinary candidiasis as a potential diagnosis for patients at risk who present with UTI-like symptoms.

Tuberculosis (TB) is a main concern of health care workers in sub-Saharan Africa. Healthcare workers have the potential to have contact with TB patients and are the main stakeholders in healthcare settings to implement TB infection control, and the poor practice of TB infection control may increase the risk of transmission of TB in healthcare settings. However, there is no consistent conclusion on the TB infection control practice among healthcare workers in Ethiopia. Thus, this study aimed to determine the pooled magnitude of TB infection control practice and associated factors among healthcare workers in Ethiopia.

This systematic review and meta-analysis will be done by following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline. The following databases will be used to search for articles: PubMed, Cochrane Library, Google Scholar and grey literatures. The quality of studies will be assessed using the Joanna Briggs Institute (JBI) critical appraisal checklist. The data from included studies will be extracted using Microsoft Excel V.2016, and the extracted data will be analysed using STATA V.16. Forest plot and I² statistics will be done for heterogeneity. A funnel plot and Egger’s regression test will be conducted to check for publication bias. Potential sources of bias will be identified by subgroup analysis and meta-regression. Any type of study design conducted in Ethiopia and in English language will be included.

Ethics approval is not required, and the findings will be published in peer-reviewed journal.

CRD42023393580.