Determinants in the number of staff in hospitals' maintenance departments: a multivariate regression analysis approach.

To date, there are no broadly accepted or accurate models to determine appropriate staffing [levels] for clinical engineering departments (CEDs). The purpose of this study is to determine what the determinants of the staffing levels are (total number of full time equivalents (FTEs)) in CEDs in healthcare organisations. In doing so, we used a cross-sectional exploratory approach by using a multivariate regression model over a secondary source of data information from the AAMI Benchmarking Solutions-Healthcare Technology Management database. Two hundred and one healthcare organisations were included in our study. Our study revealed that on average, there are almost 14 biomedical technicians (BMETs) per clinical engineer and one FTE per 1083.72 devices (SD 545.69). The results of this study also revealed that the total number of devices and the total technology management hours devoted to these devices positively affects the number of FTEs in a CED, whereas the hospital complexity, measured by healthcare organisation patient discharges matters inversely. The most important factor that matters in the number of FTEs in CEDs was the total technology management hours devoted to devices. A value of explained variance (i.e. R2) of 85% was obtained, indicating the strong power of the prediction accuracy of our multivariate regression model.

What factors are associated with the provision of assistive technologies: the Bogotá D.C. case.

AIM: To examine what demographics and clinical factors are associated with the provision of assistive technology (AT) devices in a low-income country. METHOD: Retrospective cross-sectional exploratory study design including 15 of the 20 localities across Bogotá D.C., Colombia, a city with 6,776,009 inhabitants. RESULTS: The type of AT device provided was significantly dependent (p < 0.001) on the client's diagnosis, impairment, age, and socio-economic strata, whether the client has a care giver, the geographical zone in which the client lives, the year of the AT provision, and the total number of AT delivered. In contrast, the client's gender (p > 0.05) and the client's affiliated type of healthcare service had no effect. In addition to that, the client's age, the client's socio-economic strata, the number of AT devices provided to the client, and the diagnostic type were the factors with the strongest level of association with the type of AT device provided. CONCLUSIONS: Our research showed that the provision of AT in Bogotá D.C. prioritizes both people who are at the highest levels of vulnerability, and as many people as possible with the budget. That is, the low socio-economic strata, younger and older people, and the provision of at least one AT device. IMPLICATIONS FOR REHABILITATION: Provision of AT is intended for equal opportunities for the social participation of people with a disability. Also, people with disabilities have the right to access AT regardless of the type of limitation, gender, race, age or region where they live. Research regarding AT in developing countries is scarce; thus, there is a need to conduct studies in such contexts. This study provides scientific evidence to support the development of models, approaches and strategies of AT provision in low-income countries where resources for rehabilitation are scarce.

Sjögren's syndrome at the crossroad of polyautoimmunity.

The coexistence of autoimmune diseases (i.e., polyautoimmunity) in Sjögren's syndrome (SS) was investigated in a cross-sectional study involving 410 patients. Logistic regression analysis and the Rogers and Tanimoto index were used to evaluate risk factors and clustering, respectively. There were 134 (32.6%) patients with polyautoimmunity. The most frequent and closer coexistent diseases were autoimmune thyroid disease (21.5%), rheumatoid arthritis (8.3%), systemic lupus erythematosus (7.6%), and inflammatory bowel disease (0.7%) which together constituted a cluster group. There were 35 (8.5%) patients with multiple autoimmune syndrome. Besides disease duration, a history of habitual smoking and spontaneous abortion were found to be risk factors for the developing of polyautoimmunity. This study discloses a high prevalence of polyautoimmunity in SS, its associated risk factors and the grouping pattern of such a condition. These results may serve to define plausible approaches to study the common mechanisms of autoimmune diseases.