This study aimed to investigate the perceived work stress and its influencing factors among hospital staff during the novel coronavirus (COVID‐19) pandemic in Taiwan. A web‐based survey was conducted at one medical center and two regional hospitals in southern Taiwan, targeting physicians, nurses, medical examiners, and administrators. The questionnaire included items on the demographic characteristics of hospital staff and a scale to assess stress among healthcare workers caring for patients with a highly infectious disease. A total of 752 valid questionnaires were collected. The hospital staff reported a moderate level of stress and nurses had a highest level of stress compared to staff in the other three occupational categories. The five highest stress scores were observed for the items “rough and cracked hands due to frequent hand washing and disinfectant use,” “inconvenience in using the toilet at work,” “restrictions on eating and drinking at work,” “fear of transmitting the disease to relatives and friends,” and “fear of being infected with COVID‐19.” Discomfort caused by protective equipment was the major stressor for the participants, followed by burden of caring for patients. Among participants who experienced severe stress (n = 129), work stress was higher among those with rather than without minor children. The present findings may serve as a reference for future monitoring of hospital staff's workload, and may aid the provision of support and interventions.
Our study aimed to understand the characteristics of ventilator dependence in patients at a respiratory care center and the potential effects of physical therapy on ventilator weaning and patients' functional status. Prospective data collection consisted of the following: (1) demographic data, including name, gender, age, diagnosis, the Acute Physiology and Chronic Health Evaluation as a severity of the disease, modified Glasgow Coma Scale, mobility at the time of admission, and days of hospitalization; (2) Rapid shallow breathing index (RSBI) as a predictive indicator of ventilator weaning, including indicators of ventilator weaning were collected from the respiratory flow sheet; and (3) Barthel index. Between July 1 and December 31, 2007, 126 patients were admitted to the respiratory care center, and those who required mechanical ventilation for more than 14 days were enrolled. Fifty-five subjects received physical therapy. The RSBI in patients who received physical therapy was 75.7 +/- 37.9 before therapy and 80.0 +/- 48.5 afterwards, while the Barthel index increased from 0.8 +/- 1.4 to 1.9 +/- 2.5 (p < 0.05). The RSBI decreased as time of physical therapy lengthened, but not significantly (r = 0.12, p = 0.44). The success rate of ventilator weaning in patients receiving physical therapy intervention versus non-physical therapy intervention was 58.2% and 40.9%, respectively. The results indicated that lengthening the physical therapy intervention time enhanced the ventilator weaning success rate while mobility was not affected (r = -0.11, p = 0.41). Physical therapy may be offered to ventilator-dependent patients in line with their individual needs to improve or maintain basic mobility.
There have been contradictory reports suggesting that CO(2) may constrict, dilate, or have no effect on pulmonary vessels. Permissive hypercapnia has become a widely adopted ventilatory technique used to avoid ventilator-induced lung injury, particularly in patients with acute respiratory distress syndrome (ARDS). On the other hand, respiratory alkalosis produced by mechanically induced hyperventilation is the mainstay of treatment for newborn infants with persistent pulmonary hypertension. It is important to clarify the vasomotor effect of CO(2) on pulmonary circulation in order to better evaluate the strategies of mechanical ventilation in intensive care. In the present study, pulmonary vascular responses to CO(2) were observed in isolated rat lungs (n = 32) under different levels of pulmonary arterial pressure (PAP) induced by various doses of endothelin-1 (ET-1). The purposes of this study were to investigate (1) the vasodilatory effect of 5% CO(2) in either N(2) (hypoxic-hypercapnia) or air (normoxic-hypercapnia) at different PAP levels induced by various doses of endothelin-1, and (2) the role of nitric oxide (NO) in mediating the pulmonary vascular response to hypercapnia, hypoxia, and ET-1. The results indicated that (1) CO(2) produces pulmonary vasodilatation at high PAP under ET-1 and hypoxic vasoconstriction; (2) the vasodilatory effect of CO(2) at different pressure levels varies in accordance with the levels of PAP, the dilatory effect tends to be more evident at higher PAP; and (3) endogenous NO attenuates ET-1 and hypoxic pulmonary vasoconstriction but does not augment the CO(2)-induced vasodilatation.
Respiratory care centers (RCCs) provide effective care for patients who have been in intensive care and have undergone prolonged mechanical ventilation. Between February 2002 and December 2005, 891 patients who met the admission criteria of RCCs were referred to our RCC at Kaohsiung Medical University Hospital in southern Taiwan for attempted weaning. We recorded demographic and clinical data, including variables identified previously as predictive of weaning success among highly selected populations. The common causes of respiratory failure at RCC admission were neuromuscular disease (29.2%), pneumonia (27.5%), cancer (18.0%), cardiovascular disease (10.1%), sepsis (5.7%) and post-surgery (1.6%). The percentage of patients successfully weaned was 40.2%, while 59.8% remained dependent on ventilators. In a stepwise multivariate logistic regression analysis, significant predictors of weaning success included neuromuscular disease (odds ratio [OR], 2.64), APACHE II score (OR, 0.93) and blood urea nitrogen level at RCC admission (OR, 0.99). The results could be helpful in the accreditation of medical care quality and may provide guidelines for future research and education programs.
Overviews synthesising the results of multiple systematic reviews help inform evidence‐based clinical practice. In this first of two companion papers, we evaluate the bibliometrics of overviews, including their prevalence and factors affecting citation rates and journal impact factor (JIF). We searched MEDLINE, Epistemonikos and Cochrane Database of Systematic Reviews (CDSR). We included overviews that: (a) synthesised reviews, (b) conducted a systematic search, (c) had a methods section and (d) examined a healthcare intervention. Multivariable regression was conducted to determine the association between citation density, JIF and six predictor variables. We found 1218 overviews published from 2000 to 2020; the majority (73%) were published in the most recent 5‐year period. We extracted a selection of these overviews (n = 541; 44%) dated from 2000 to 2018. The 541 overviews were published in 307 journals; CDSR (8%), PLOS ONE (3%) and Sao Paulo Medical Journal (2%) were the most prevalent. The majority (70%) were published in journals with impact factors between 0.05 and 3.97. We found a mean citation count of 10 overviews per year, published in journals with a mean JIF of 4.4. In multivariable analysis, overviews with a high number of citations and JIFs had more authors, larger sample sizes, were open access and reported the funding source. An eightfold increase in the number of overviews was found between 2009 and 2020. We identified 332 overviews published in 2020, which is equivalent to one overview published per day. Overviews perform above average for the journals in which they publish.
Human immunodeficiency virus (HIV)/AIDS is a manageable infectious disease by the effectiveness of highly active antiretroviral therapy. AIDS-related stigma and conflict may create distress and deteriorate quality of life (QoL) of people living with HIV/AIDS (PLWHA). This cross-sectional, descriptive, correlational study using structural questionnaires aimed to explore the stress, needs, QoL, and associated factors of PLWHA in Taiwan. A total of 200 PLWHA participating in this study needed most on treatment of HIV and prevention of AIDS, and health maintenance. They had worse QoL in physical, psychological, and social domains (all p < 0.001) than the general population. Stress was the most significant predictor (β = -0.25 to -0.54, p < 0.01) for all four domains of QoL. Needs was not significantly associated with QoL. The QoL of PLWHA can be explained by demographics, self-perception on health, needs, and stress for 25.3-40.7% of variances. No association existed between CD4(+) counts and QoL in Taiwanese PLWHA. It is important to recognize the perception of PLWHA on their health status, which is significantly associated with their QoL, besides monitoring their physical indicators of health (CD4(+) counts). To recognize the stress and needs that PLWHA experience and to develop intervention programs targeting strategies on HIV disclosure, prevention and health maintenance are crucial for PLWHA's QoL.
AIMTo examine the accuracy of machine learning to relate particulate matter (PM) 2.5 and PM10 concentrations to upper respiratory tract infections (URIs).METHODSDaily nationwide and regional outdoor PM2.5 and PM10 concentrations collected over 30 consecutive days obtained from the Taiwan Environment Protection Administration were the inputs for machine learning, using multilayer perceptron (MLP), to relate to the subsequent one-week outpatient visits for URIs. The URI data were obtained from the Centers for Disease Control datasets in Taiwan between 2009 and 2016. The testing used the middle month dataset of each season (January, April, July and October), and the training used the other months’ datasets. The weekly URI cases were classified by tertile as high, moderate, and low volumes.RESULTSBoth PM concentrations and URI cases peak in winter and spring. In the nationwide data analysis, MLP machine learning can accurately relate the URI volumes of the elderly (89.05% and 88.32%, respectively) and the overall population (81.75% and 83.21%, respectively) with the PM2.5 and PM10 concentrations. In the regional data analyses, greater accuracy is found for PM2.5 than for PM10 for the elderly, particularly in the Central region (78.10% and 74.45%, respectively), whereas greater accuracy is found for PM10 than for PM2.5 for the overall population, particularly in the Northern region (73.19% and 63.04%, respectively).CONCLUSIONShort-term PM2.5 and PM10 concentrations were accurately related to the subsequent occurrence of URIs by using machine learning. Our findings suggested that the effects of PM2.5 and PM10 on URI may differ by age, and the mechanism needs further evaluation.
BackgroundMany hospitals have reformed hospital policies and changed nursing models to cope with shortages in nursing staff and control medical costs. However, the nursing skill mix model that most successfully achieves both cost effectiveness and quality care has yet to be determined.AimThe aim of this study was to explore the impact of different nurse staffing models on patient outcomes in a respiratory care center (RCC).MethodsRetrospective data from 2006 to 2008 were obtained from records monitoring nursing care quality, as well as patient records and nursing personnel costs in an RCC as a medical center, in southern Taiwan. A total of 487 patients were categorized into two groups according to the RCC's mix of nursing staff. The “RN/Aide” group comprised 247 patients who received RN and aide care, with a 0.7–0.8 proportion of RNs, from July 2006 to June 2007. The other 240 patients (“All-RN”) received 100% RN care from January 2008 to December 2008.ResultsThe results of this study indicated no significant differences in occurrence of pressure ulcer or respiratory tract infections, days of hospitalization, mortality, or nursing costs. However, significant differences were observed in ventilator weaning and occurrence of urinary tract and bloodstream infections.ConclusionsA higher proportion of RNs was associated not only with a lower rate of urinary tract infection but also with more patients being weaned successfully from ventilators. The findings of this study have implications for how managers and administrators manage nurse staffing in respiratory care.
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