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Background: Over the past ten years, significant transformations have occurred in the healthcare landscape, presenting respiratory therapists (RTs) with a mix of challenges and opportunities. Hence, their perceptions about career progression and job satisfaction will be critical factor in determining the recruitment and retention of RTs. However, there are no studies in the literature that comprehensively assessed these aspects using a reliable and valid measure specific to RTs. Our objective was to develop and psychometrically test a Standardized Questionnaire (SQ) for evaluating RT's overall job satisfaction. Methods: Following consultations with experts and interviews conducted with RTs, a preliminary questionnaire was devised for the purpose of exploratory factor analysis (EFA). The 49 items of the Structured Questionnaire (SQ) were used for verification of the theorized factor structure and content validity using a confirmatory factor analysis (CFA). Principal Component Analysis (PCA), Structural Equation Modeling (SEM), and Confirmatory Factor Analysis (CFA) for the global fit were done. Cronbach's alpha was performed to estimate the internal consistency. The samples of RTs were collected from India between August 2021 and January 2022. Results: A convenience sample comprising 409 respiratory therapists (RTs) employed in India participated in the survey conducted from June 2021 to January 2022. The exploratory factor analysis revealed three factors that explained 61.2 % of the total variance. The confirmatory factor analysis yielded a 3-factor structure (X2/df = 4.4, p < 0.02, standardized root-mean-square residual = 0.05, goodness of fit index = 0.94, comparative fit index = 0.98). The Cronbach's alpha was 0.94 for the total scale. Conclusions: Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) are becoming more prevalent, especially in the development and psychometric evaluation of instruments. This Structured Questionnaire is a reliable and valid tool that has utility for assessing perceptions, satisfaction, and attitude among Respiratory Therapists and for making comparisons of similar psychometric measures.
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Background: Optimizing patient outcomes and reducing complications require constant monitoring and effective collaboration among critical care professionals. The aim of the present study was to describe the perceptions of physician directors, respiratory therapist managers and nurse managers regarding the key roles, responsibilities and clinical decision-making related to mechanical ventilation and weaning in adult Intensive Care Units (ICUs) in the Kingdom of Saudi Arabia (KSA). Methods: A multi-centre, cross-sectional self-administered survey was sent to physician directors, respiratory therapist managers and nurse managers of 39 adult ICUs at governmental tertiary referral hospitals in 13 administrative regions of the KSA. The participants were advised to discuss the survey with the frontline bedside staff to gather feedback from the physicians, respiratory therapists and nurses themselves on key mechanical ventilation and weaning decisions in their units. We performed T-test and non-parametric Mann-Whitney U tests to test the physicians, respiratory therapists, and nurses' autonomy and influence scores, collaborative or single decisions among the professionals. Moreover, logistic regressions were performed to examine organizational variables associated with collaborative decision-making. Results: The response rate was 67% (14/21) from physician directors, 84% (22/26) from respiratory therapist managers and 37% (11/30) from nurse managers. Physician directors and respiratory therapist managers agreed to collaborate significantly in most of the key decisions with limited nurses' involvement (P<0.01). We also found that physician directors were perceived to have greater autonomy and influence in ventilation and waning decision-making with a mean of 8.29 (SD±1.49), and 8.50 (SD±1.40), respectively. Conclusion: The key decision-making was implemented mainly by physicians and respiratory therapists in collaboration. Nurses had limited involvement. Physician directors perceived higher autonomy and influence in ventilatory and weaning decision-making than respiratory therapist managers and nurse managers. A critical care unit's capacity to deliver effective and safe patient care may be improved by increasing nurses' participation and acknowledging the role of respiratory therapists in clinical decision-making regarding mechanical ventilation and weaning.
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BACKGROUND: Patient-ventilator asynchrony (PVA) is a prevalent and often underrecognized problem in mechanically ventilated patients. Ventilator waveform analysis is a noninvasive and reliable means of detecting PVAs, but the use of this tool has not been broadly studied. METHODS: Our observational analysis leveraged a validated evaluation tool to assess the ability of critical care practitioners (CCPs) to detect different PVA types as presented in three videos. This tool consisted of three videos of common PVAs (i.e., double-triggering, auto-triggering, and ineffective triggering). Data were collected via an evaluation sheet distributed to 39 hospitals among the various CCPs, including respiratory therapists (RTs), nurses, and physicians. RESULTS: A total of 411 CCPs were assessed; of these, only 41 (10.2%) correctly identified the three PVA types, while 92 (22.4%) correctly detected two types and 174 (42.3%) correctly detected one; 25.3% did not recognize any PVA. There were statistically significant differences between trained and untrained CCPs in terms of recognition (three PVAs, p < 0.001; two PVAs, p = 0.001). The majority of CCPs who identified one or zero PVAs were untrained, and such differences among groups were statistically significant (one PVA, p = 0.001; zero PVAs, p = 0.004). Female gender and prior training on ventilator waveforms were found to increase the odds of identifying more than two PVAs correctly, with odds ratios (ORs) (95% confidence intervals [CIs]) of 1.93 (1.07-3.49) and 5.41 (3.26-8.98), respectively. Profession, experience, and hospital characteristics were not found to correlate with increased odds of detecting PVAs; this association generally held after applying a regression model on the RT profession, with the ORs (95% CIs) of prior training (2.89 [1.28-6.51]) and female gender (2.49 [1.15-5.39]) showing the increased odds of detecting two or more PVAs. CONCLUSION: Common PVAs detection were found low in critical care settings, with about 25% of PVA going undetected by CCPs. Female gender and prior training on ventilator graphics were the only significant predictive factors among CCPs and RTs in correctly identifying PVAs. There is an urgent need to establish teaching and training programs, policies, and guidelines vis-à-vis the early detection and management of PVAs in mechanically ventilated patients, so as to improve their outcomes.
