BackgroundPresenteeism is a behavior in which an employee is physically present at work with reduced performance due to illness or other reasons. Hospital doctors and nurses are more inclined to exhibit presenteeism than other professional groups, resulting in diminished staff health, reduced team productivity and potentially higher indirect presenteeism-related medical costs than absenteeism. Robust presenteeism intervention programs and productivity costing studies are available in the manufacturing and business sectors but not the healthcare sector.This systematic review aims to 1) identify instruments measuring presenteeism and its exposures and outcomes; 2) appraise the related workplace theoretical frameworks; and 3) evaluate the association between presenteeism, its exposures and outcomes, and the financial costs of presenteeism as well as interventions designed to alleviate presenteeism amongst hospital doctors and nurses.MethodsA systematic search was carried out in ten electronic databases from 1998 to 2017 and screened by two reviewers. Quality assessment was carried out using the Critical Appraisal Skills Program (CASP) tool. Publications meeting predefined assessment criteria were selected for data extraction.ResultsA total of 275 unique English publications were identified, 38 were selected for quality assessment, and 24 were retained for data extraction. Seventeen publications reported on presenteeism exposures and outcomes, four on financial costing, one on intervention program and two on economic evaluations. Eight (39%) utilized a theoretical framework, where the Job-Demands Resources (JD-R) framework was the most commonly used model. Most assessed work stressors and resources were positively and negatively associated with presenteeism respectively. Contradictory and limited comparability on findings across studies may be attributed to variability of selected scales for measuring both presenteeism and its exposures/outcomes constructs.ConclusionThe heterogeneity of published research and limited quality of measurement tools yielded no conclusive evidence on the association of presenteeism with hypothesized exposures, economic costs, or interventions amongst hospital healthcare workers. This review will aid researchers in developing a standardized multi-dimensional presenteeism exposures and productivity instrument to facilitate future cohort studies in search of potential cost-effective work-place intervention targets to reduce healthcare worker presenteeism and maintain a sustainable workforce.Electronic supplementary materialThe online version of this article (10.1186/s12913-018-3789-z) contains supplementary material, which is available to authorized users.
Background Maternity leave is integral to postpartum maternal and child health, providing necessary time to heal and bond following birth. However, the relationship between maternity leave and health outcomes has not been formally and comprehensively assessed to guide public health research and policy in this area. This review aims to address this gap by investigating both the correlates of maternity leave utilization in the US and the related health benefits for mother and child. Methods We searched the peer-reviewed scholarly literature using six databases for the years 1990 to early 2015 and identified 37 studies to be included in the review. We extracted key data for each of the included studies and assessed study quality using the "Weight of the Evidence" approach. Results The literature generally confirms a positive, though limited correlation between maternity leave coverage and utilization. Likewise, longer maternity leaves are associated with improved breastfeeding intentions and rates of initiation, duration and predominance as well as improved maternal mental health and early childhood outcomes. However, the literature points to important disparities in access to maternity leave that carry over into health outcomes, such as breastfeeding. Synthesis We present a conceptual framework synthesizing what is known to date related to maternity leave access and health outcomes.
Background To quantify the five year incidence trend of all healthcare-associated infections (HAI) using a real-time HAI electronic surveillance system in a tertiary hospital in Beijing, China. Methods The real-time surveillance system scans the hospital’s electronic databases related to HAI (e.g. microbiological reports and antibiotics administration) to identify HAI cases. We conducted retrospective secondary analyses of the data exported from the surveillance system for inpatients with all types of HAIs from January 1st 2013 to December 31st 2017. Incidence of HAI is defined as the number of HAIs per 1000 patient-days. We modeled the incidence data using negative binomial regression. Results In total, 23361 HAI cases were identified from 633990 patients, spanning 6242375 patient-days during the 5-year period. Overall, the adjusted five-year HAI incidence rate had a marginal reduction from 2013 (4.10 per 1000 patient days) to 2017 (3.62 per 1000 patient days). The incidence of respiratory tract infection decreased significantly. However, the incidence rate of bloodstream infections and surgical site infection increased significantly. Respiratory tract infection (43.80%) accounted for the most substantial proportion of HAIs, followed by bloodstream infections (15.74%), and urinary tract infection (12.69%). A summer peak in HAIs was detected among adult and elderly patients. Conclusions This study shows how continuous electronic incidence surveillance based on existing hospital electronic databases can provide a practical means of measuring hospital-wide HAI incidence. The estimated incidence trends demonstrate the necessity for improved infection control measures related to bloodstream infections, ventilator-associated pneumonia, non-intensive care patients, and non-device-associated HAIs, especially during summer months. Electronic supplementary material The online version of this article (10.1186/s13756-019-0582-7) contains supplementary material, which is available to authorized users.
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