Dataset Information

Normative Hand Strength of Healthcare Industry Workers in Central Taiwan.

ABSTRACT: Objectives: The purpose of this study is to establish the norms of hand grip strength in the healthcare industry in Taiwan and propose models to predict the strength of hand movement by regression with demographic and anthropometric factors. Methods: This is a cross-sectional study with a stratified convenience sample of workers in healthcare service industries in central Taiwan. Three hundred twenty-nine healthy subjects were recruited. Strength of different hand movement were tested three times in both hands and rests were given between tests. Results: Female strength of these hand movement was 59.1% to 73.0% that in males (p < 0.001). In general, the hand strength of male workers in the healthcare industry was less than that of male workers in the manufacturing industry (p < 0.001). In the prediction model, sex and weight played important roles in predicting hand strength. Conclusions: The norms of different types of hand strength was investigated the first time in workers in the healthcare industry in Taiwan. The tasks performed by healthcare personnel vary widely, and this variable should be considered in a future prediction model.

SUBMITTER: Lo VE

PROVIDER: S-EPMC7795098 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature

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Normative Hand Strength of Healthcare Industry Workers in Central Taiwan.

Lo Victor Ei-Wen VE Chao Shu-Min SM Tu Hsin-Hung HH

International journal of environmental research and public health 20201229 1

<i>Objectives</i>: The purpose of this study is to establish the norms of hand grip strength in the healthcare industry in Taiwan and propose models to predict the strength of hand movement by regression with demographic and anthropometric factors. <i>Methods</i>: This is a cross-sectional study with a stratified convenience sample of workers in healthcare service industries in central Taiwan. Three hundred twenty-nine healthy subjects were recruited. Strength of different hand movement were tes ...[more]

PMID: 33383773

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Project description:ObjectivesTo understand the key attributes in designing effective interventions for improving healthcare workers' (HCWs') hand hygiene compliance and HCWs' preference for these attributes.DesignA discrete choice experiment (DCE) was conducted with five attributes extracted from the framework of Total Quality Management that can be applied in the design of hand hygiene interventions. They were hand hygiene monitoring, open discussion, message framing, resources accessibility and top management involvement. An addition attribute, peer hand hygiene performance, was considered as a contextual factor. Data were analysed by a conditional logit model to evaluate how these attributes impact HCWs' hand hygiene compliance.SettingThe DCE was conducted with participants from a university hospital in Taichung.ParticipantsHCWs involved in daily patient-care activities (N=387).ResultsTo enhance their compliance, HCWs had strong and consistent preferences in having open discussion of hand hygiene problems ([Formula: see text], [Formula: see text]), easy access to hand hygiene resources ([Formula: see text], [Formula: see text]) and top management involvement ([Formula: see text], [Formula: see text]). For hand hygiene monitoring ([Formula: see text], [Formula: see text]), HCWs preferred to be monitored by infection control staff over their department head if their peer hand hygiene performance was low. On the other hand, when the peer performance was high, monitoring by their department head could improve their hand hygiene compliance. Similarly, how educational messages were framed impacted compliance and also depended on the peer hand hygiene performance. When the peer performance was low, HCWs were more likely to increase their compliance in reaction to loss-framed educational messages ([Formula: see text],[Formula: see text]). When the peer performance was high, gain-framed messages that focus on the benefit of compliance were more effective in inducing compliance.ConclusionsEach intervention design has its unique impact on HCWs' hand hygiene compliant behaviour. The proposed approach can be used to evaluate HCWs' preference and compliance of an intervention before it is implemented.

Project description:BackgroundTraditionally, hand hygiene (HH) interventions do not identify the observed healthcare workers (HWCs) and therefore, reflect HH compliance only at population level. Intensive care units (ICUs) in seven European hospitals participating in the "Prevention of Hospital Infections by Intervention and Training" (PROHIBIT) study provided individual HH compliance levels. We analysed these to understand the determinants and dynamics of individual change in relation to the overall intervention effect.MethodsWe included HCWs who contributed at least two observation sessions before and after intervention. Improving, non-changing, and worsening HCWs were defined with a threshold of 20% compliance change. We used multivariable linear regression and spearman's rank correlation to estimate determinants for the individual response to the intervention and correlation to overall change. Swarm graphs visualized ICU-specific patterns.ResultsIn total 280 HCWs contributed 17,748 HH opportunities during 2677 observation sessions. Overall, pooled HH compliance increased from 43.1 to 58.7%. The proportion of improving HCWs ranged from 33 to 95% among ICUs. The median HH increase per improving HCW ranged from 16 to 34 percentage points. ICU wide improvement correlated significantly with both the proportion of improving HCWs (ρ = 0.82 [95% CI 0.18-0.97], and their median HH increase (ρ = 0.79 [0.08-0.97]). Multilevel regression demonstrated that individual improvement was significantly associated with nurse profession, lower activity index, higher nurse-to-patient ratio, and lower baseline compliance.ConclusionsBoth the proportion of improving HCWs and their median individual improvement differed substantially among ICUs but correlated with the ICUs' overall HH improvement. With comparable overall means the range in individual HH varied considerably between some hospitals, implying different transmission risks. Greater insight into improvement dynamics might help to design more effective HH interventions in the future.

Project description:BackgroundThe widespread problem of burnout among healthcare workers is not only common but also a significant concern that impacts the entire healthcare system in Uganda. It is essential to understand the connection between burnout and quality of life among healthcare workers in the specific context of central Uganda, where healthcare professionals face high patient volumes, limited resources, exposure to infectious diseases, and socioeconomic challenges. This study examined the relationship between burnout and quality of life among healthcare workers in central Uganda.MethodsThis research utilized a cross-sectional study conducted across various healthcare settings in central Uganda. The data were analyzed at descriptive, bivariate, and multivariate levels. The relationship between dependent and independent variables was evaluated using an independent t-test for binary variables and a one-way analysis of variance (ANOVA) for categorical variables. Significance was determined with a reported p-value, with relationships deemed significant at p < 0.2. For multivariable analysis, multiple linear regression was employed using a forward selection method, with significance set at 5% (p < 0.05).ResultsOur findings indicate that nearly 40% of healthcare workers reported experiencing high levels of burnout. The average score for overall quality of life was 10.71 (±4.89), with variations observed across different domains. The study reveals a significant connection between socio-demographic factors, burnout, and overall quality of life, emphasizing the impact of job category, supervisory support, sleep quality, and burnout on the well-being of healthcare workers. Predictive analysis illustrates how these factors influence both overall quality of life scores and scores in specific domains. Particularly noteworthy is that nurses and technicians tend to have a lower quality of life compared to physicians.ConclusionThe results underscore the relationship between socio-demographic factors, burnout, and particular aspects of quality of life. Notably, job category, supervisory support, sleep quality, and burnout stand out as significant factors shaping the well-being of healthcare workers. Nurses and technicians encounter distinct challenges, suggesting the need for interventions tailored to their needs. Addressing issues such as inadequate supervisory support, burnout, and sleep-related problems is recognized as a potential approach to improving the overall quality of life among healthcare workers.

Dataset Information

Normative Hand Strength of Healthcare Industry Workers in Central Taiwan.

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Normative Hand Strength of Healthcare Industry Workers in Central Taiwan.

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