Advances in Clinical and Experimental Medicine

Title abbreviation: Adv Clin Exp Med
5-Year IF – 2.0, IF – 1.9, JCI (2024) – 0.43
Scopus CiteScore – 4.3
Q1 in SJR 2024, SJR score – 0.598, H-index: 49 (SJR)
ICV – 161.00; MNiSW – 70 pts
Initial editorial assessment and first decision within 24 h

ISSN 1899–5276 (print), ISSN 2451-2680 (online)
Periodicity – monthly

Download original text (EN)

Advances in Clinical and Experimental Medicine

Ahead of print

doi: 10.17219/acem/203940

Publication type: meta-analysis

Thematic category: Anesthesiology; nursing

Language: English

License: Creative Commons Attribution 3.0 Unported (CC BY 3.0)

Download citation:

  • BIBTEX (JabRef, Mendeley)
  • RIS (Papers, Reference Manager, RefWorks, Zotero)

Cite as:


Li J, Li H, Hou X, Shi Y, Zhao J. Evaluation of nurse-led sedation protocols on clinical outcomes in mechanically ventilated adults within intensive care units: A meta-analysis of randomized controlled trials [published online as ahead of print on February 23, 2026]. Adv Clin Exp Med. 2026. doi:10.17219/acem/203940

Evaluation of nurse-led sedation protocols on clinical outcomes in mechanically ventilated adults within intensive care units: A meta-analysis of randomized controlled trials

Jing Li1,A, Honggeng Li2,B, Xiaoxuan Hou3,C, Ying Shi2,D,E, Junlan Zhao1,C,E

1 Department of Nursing, Eighth People‘s Hospital of Hebei Province, Shijiazhuang, China

2 Department of Integrated Traditional Chinese and Western Medicine, Eighth People’s Hospital of Hebei Province, Shijiazhuang, China

3 Department of Pain and Anesthesiology, Eighth People‘s Hospital of Hebei Province, Shijiazhuang, China

Graphical abstract


Graphical abstracts

Highlights


• Emergency Department (ED) Procedural Sedation and Analgesia (PSA) for patient comfort: PSA in the ED alleviates anxiety, discomfort, and pain during complex procedures, ensuring safety and satisfaction.
• Variable patient responses to ED sedative agents: Despite pre-assessments, trained staff, and adverse-event tracking, individual reactions to procedural sedatives differ widely.
• Limited safety data from small-scale PSA trials: Most research on sedation agents comprises single-center randomized controlled trials (RCTs) or observational studies with fewer than 100 participants, complicating definitive safety conclusions.
• Agent-specific adverse events guide PSA planning: Propofol often triggers respiratory issues, fentanyl and ketamine can cause gastrointestinal disturbances, while ketamine–propofol combinations reduce hemodynamic instability, highlighting the need to tailor sedation by age, comorbidities, and drug risk.

Abstract

Background. Many hospitals worldwide implement nurse-led sedation protocols to prevent both under- and over-sedation and to enhance comfort and safety for mechanically ventilated patients in intensive care units (ICUs); however, definitive conclusions regarding their effectiveness remain limited.

Objectives. To assess the efficacy of nurse-led sedation protocols on clinical outcomes in mechanically ventilated adults within ICUs.

Materials and methods. A systematic search was conducted across 4 electronic databases – PubMed, Embase, Scopus, and the Cochrane Library – to identify relevant studies published in peer-reviewed journals. The standard mean difference (SMD) and risk ratio (RR), along with their corresponding 95% confidence intervals (95% CIs), were calculated. Heterogeneity among studies was assessed using the Cochran’s Q test and I2 statistic, with significance determined by the appropriate p-value. All statistical analyses were performed using Review Manager (RevMan) v. 5.4.

Results. This meta-analysis of 10 randomized controlled trials (RCTs; n = 1,151 patients) indicates that a nurse-led sedation protocol is significantly more effective than usual care in reducing ICU mortality (RR = 0.34 (95% CI: 0.25 to 0.45); I2 = 38%, p < 0.001), duration of mechanical ventilation (SMD = −1.94 (95% CI: −2.16 to −1.72); I2 = 73%, p < 0.001), length of hospital stay (SMD = −1.70 (95% CI: −1.80 to −1.59); I2 = 79%, p < 0.001), length of ICU stay (SMD = −1.58 (95% CI: −1.76 to −1.40); I2 = 66%, p < 0.001), and incidence of delirium (RR = 0.47 (95% CI: 0.39 to 0.57); I2 = 15%, p < 0.87).

Conclusions. Compared to usual care, nurse-led sedation protocol can improve ICU mortality and other clinical outcomes in mechanically ventilated ICU patients safely and effectively.

Keywords: ICU mortality, intensive care unit (ICU), meta-analysis, mechanical ventilation, nurse-led sedation protocols

Background

Critically ill patients on mechanical ventilation in intensive care units (ICUs) often require sedation to alleviate pain, anxiety, and agitation. Inadequate sedation can increase sympathetic activity, lead to cardiovascular instability, and cause respiratory complications that compromise patient outcomes.1, 2 Conversely, inadequate sedation can culminate in delirium, unplanned extubation, and prolonged mechanical ventilation, resulting in lower morbidity, mortality, and healthcare expenditures.3, 4 The Pain, Agitation/Sedation, Delirium, Immobility, and Sleep Disruption (PADIS) guidelines advocate for the routine utilization of analgesia and sedation in ICUs to minimize discomfort, promote patient-centered care, and diminish the risk of adverse events (AEs).5 Despite the critical importance of sedation management in ICUs, ongoing debate surrounds the most effective approach. Traditional physician-led sedation protocols may not consistently achieve optimal sedation levels, potentially resulting in AEs and extended ICU stays. Contemporary controversies in the literature encompass debates on optimal sedation strategies, including physician-led vs nurse-led protocols, ideal depth of sedation, benefits and risks of daily sedation interruptions vs continuous sedation, and concerns regarding the potential long-term effects of sedation on cognitive and psychological outcomes.

In recent years, nurse-led sedation protocols have emerged as a promising alternative, possessing the potential to enhance patient outcomes, reduce healthcare expenditures, and augment patient satisfaction.6, 7 These protocols involve the utilization of standardized sedation scales, such as the Richmond Agitation-Sedation Scale (RASS) or the Sedation-Agitation Scale (SAS), to assess patient sedation levels and adjust intravenous drip rates accordingly.8, 9 Many studies10, 11, 12, 13, 14 have indicated that nurse-led sedation management, guided by specific goals and flowcharts, surpasses traditional methods.

The implementation of a nurse-driven sedation protocol has yielded advantageous results, notably by abbreviating the duration of mechanical ventilation, reducing the length of stay in the ICU, and minimizing the period of continuous sedation. Furthermore, this approach has enhanced the frequency of spontaneous awakening trials (SATs), ultimately contributing to improved patient outcomes, including diminished morbidity, mortality, and healthcare expenditures. Magner et al. observed in their research that a nurse-led programmed sedation scheme can augment the effectiveness of sedation while concurrently decreasing the occurrence of delirium.15 In a comparable study, Qi et al. noted that the adoption of a sedation protocol by nursing staff can enhance outcomes, resulting in decreased mortality rates and a reduction in sedation-related AEs among mechanically ventilated patients in ICUs, when contrasted with standard physician-led care.16

However, Aitken et al. observed no notable disparities in hospital mortality, self-extubation rates, ICU length of stay, and duration of mechanical ventilation when comparing patients subjected to protocol-directed sedation with those undergoing non-protocol-directed sedation.17 Consequently, the evidence substantiating the efficacy of nurse-led sedation protocols remains inconclusive, as preceding systematic reviews and meta-analyses have been characterized by limited sample sizes and inconsistent results. Moreover, recent investigations have yielded divergent findings, underscoring the necessity for a thorough and contemporary examination of the existing literature.

Objectives

This study seeks to assess the impact of ICU nurse-led sedation protocols on various patient outcomes, such as mechanical ventilation duration, length of stay in the ICU, mortality rates, and AEs related to sedation, in comparison to the traditional physician-led care approach. Our objective was to conduct a thorough assessment of the effectiveness and safety of nurse-led sedation protocols in mechanically ventilated adults in ICUs. This was achieved through a systematic review and meta-analysis of 10 relevant randomized controlled trials (RCTs),18, 19, 20, 21, 22, 23, 24, 25, 26, 27 selected according to established inclusion and exclusion criteria, focusing on the impact of nurse-led sedation protocols on various clinical outcomes in ICUs. By synthesizing the available evidence, this study aims to provide a comprehensive and up-to-date evaluation of the efficacy and safety of nurse-led sedation protocols, comparing outcomes with traditional physician-led care, and informing evidence-based practice and future research in sedation management for critically ill patients.

Materials and methods

Eligibility criteria

This study included randomized controlled trials (RCTs) that provided comparative data on the clinical effectiveness of nurse-led sedation protocols for mechanically ventilated adults in ICUs. No restrictions were applied regarding language or publication year. Studies were included if they met the following criteria: 1) RCT design; 2) involved adult ICU patients requiring mechanical ventilation; 3) participants aged 18 years or older; 4) reported outcomes such as ICU mortality, length of hospital stay, duration of mechanical ventilation, incidence of self-extubation, and occurrence of delirium; and 5) full-text articles with sufficient data for constructing a 2 × 2 table.

The following studies were excluded from the evaluation process: 1) studies other than RCTs (e.g., case series, case-control studies, and cohort studies); 2) expert opinions, animal studies, experimental trials, and descriptive reports; 3) studies that did not include ICU patients requiring mechanical ventilation; and 4) bibliographic sources that were anecdotal, methodologically weak, or based solely on expert opinion.

Information sources

This study adhered to the guidelines set forth by AMSTAR (Assessing the Methodological Quality of Systematic Reviews)28 and PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses),29 and it has been registered in PROSPERO (CRD42025631472). Employing established inclusion and exclusion criteria for the selection of studies, we undertook a systematic review of relevant RCTs that assessed the efficacy and safety of nurse-led sedation protocols in mechanically ventilated adults within ICUs. An extensive search of prominent databases, including Embase, PubMed, Scopus, and Cochrane CENTRAL, was conducted by utilizing specific keywords and search terms, with the search extending up to September 30, 2024.

Search strategy

A comprehensive literature search was conducted across multiple databases to identify relevant studies. The search terms included: “Nurse-led sedation protocols”, “Sedation”, “Mechanical ventilation”, “Intensive care unit”, “ICU”, “Physician-led usual care”, “Non-protocol-directed sedation”, “Duration of mechanical ventilation”, “Length of stay in ICU”, “Length of hospital stay”, “ICU mortality”, “Incidence of self-extubation”, “Incidence of delirium”, “Systematic review”, “Systematic review and meta-analysis”, “Meta-analysis”, “RCT”, and “Randomized controlled trial”. No language restrictions were applied. Studies published in languages other than English were included when sufficient data could be reliably extracted, and included only RCTs involving mechanically ventilated adults in ICUs, with nurse-led sedation protocols compared against physician-led or non-protocol-directed usual care. The PICO framework guided the selection process: “P” denoted the patient population (mechanically ventilated adults in ICUs), “I” the intervention (nurse-led sedation protocols), “C” the comparator (usual physician-led care or non-protocol-directed sedation), and “O” the outcomes assessed – ICU mortality, length of hospital stay, duration of mechanical ventilation, incidence of self-extubation, and incidence of delirium.30

Selection process

Two reviewers (J.L. and H.L.) conducted an independent evaluation of article titles, abstracts, and full texts to discern potential RCTs. When necessary, a senior researcher (X.H.) was engaged to facilitate the resolution of any discrepancies between the 2 reviewers via discourse. Table 1 provides a comprehensive outline of the search strategy employed.

Data collection process

Two researchers (J.L. and H.L.) independently extracted the demographic information and event data from the selected RCTs using a predefined data collection form. The extracted information included study identification and year, country of origin, sample size, nurse-to-patient ratio, classification of ICU environments, participants’ age (mean ± standard devia­tion (SD)), gender distribution (percentage of male and female patients), intervention specifics, control conditions, and reported outcomes. When data were incomplete or unclear, the original study authors were contacted for clarification or additional details.

Risk of bias assessment of included studies

A standardized questionnaire was utilized to assess the potential for bias in the included RCTs. Two authors (X.H. and J.Z.) conducted independent evaluations of bias potential in individual studies employing the Cochrane risk-of-bias instrument v. 2.31 This instrument consisted of 5 components: bias resulting from discrepancies in intended interventions, bias originating from randomization, bias due to inadequate outcome data, bias during the assessment of outcomes, and bias in the selection of reported outcomes. Two researchers (X.H. and J.Z.) conducted an evaluation to analyze the possibility of bias. Another reviewer took on the position of an adjudicator to address any outstanding disputes. We assessed potential bias and categorized it as “uncertain risk”, “high risk”, or “low risk”. Publication bias and small-study effects were measured through a comparison-adjusted funnel plot32 and applied Begg’s test33 using MedCalc v. 20.218 (MedCalc Software Ltd., Ostend, Belgium)34 to assess the presence of publication bias and small-study effects, with statistical significance determined at a threshold of p < 0.05.

Effect measures

The Review Manager (RevMan) v. 5.435 (Nordic Cochrane Centre, Copenhagen, Denmark) was employed to assess and scrutinize the impact of various continuous and dichotomous outcomes. The standard mean differences (SMDs), risk ratios (RRs), and 95% confidence intervals (95% CIs) were calculated for each study to evaluate the binary outcomes.36

Statistical analyses

The DerSimonian–Laird method method was employed to compute RR using a 2 × 2 contingency table containing event data. Forest plots were utilized to visually assess the impact of various outcome measures. A fixed-effect model was applied when the relative treatment effect was assumed to be consistent across all included studies, while a random-effects model was used when some variability between studies was anticipated. To evaluate heterogeneity among studies, statistical parameters such as the I2 statistic, χ2 test value, Z-test statistic, and p-value were used. A result was considered statistically significant when p < 0.05. Subgroup analyses were conducted to evaluate the effectiveness of nurse-led sedation protocols in mechanically ventilated ICU patients, focusing on outcomes including the duration of mechanical ventilation, ICU mortality, length of ICU stay, and overall hospital stay. Additionally, RRs were calculated to determine the risk of AEs associated with the nurse-led sedation protocols.37, 38, 39, 40, 41, 42, 43, 44, 45

Results

Study selection outcomes

Examination of multiple databases was conducted for this investigation, resulting in the identification of 211 papers that fulfilled the inclusion criteria specified in the PICO framework. A total of 190 publications were selected for examination, while 21 papers were removed owing to redundancy. After additional screening, the titles and those articles abstracts of 74 publications were deemed irrelevant and were therefore eliminated. The remaining 105 articles underwent further assessment. However, 95 studies were considered ineligible and were consequently excluded following the application of the inclusion-exclusion criteria. This was primarily due to the lack of full-text papers, inadequate data to create 2 × 2 tables, or the absence of necessary outcomes. This meta-analysis included 10 RCTs that met the established inclusion-exclusion criteria, as illustrated in the study flow diagram per PRISMA standards (Figure 1). This investigation involves a total of 1,151 mechanically ventilated ICU patients that are above the age of 18. Table 2 presents a succinct characteristics and participant demographics of the RCTs included and analyzed in this meta-analysis. Additionally, event data for the 2 × 2 table were acquired from the participating RCTs to do a meta-analysis. Supplementary Table 1 presents the assessment based on the AMSTAR-2 criteria.46

Evaluation of potential bias in the selected RCTs

An extensive evaluation of bias risk was undertaken to assess the quality of the studies included in the analysis. The findings of this evaluation, employing a predetermined questionnaire, are delineated in Table 3 for each of the 10 RCTs incorporated in the meta-analysis. The results of this evaluation, as depicted in the traffic light plot (Figure 2) and summary plot (Figure 3), suggest a minimal probability of bias among the studies analyzed. Notably, 8 out of the 10 RCTs were assessed to possess a low risk of bias, indicating a commendable level of methodological rigor. Nevertheless, 1 RCT (Namadian and Taran25) exhibited a moderate risk of bias, chiefly attributable to issues surrounding the randomization process. Furthermore, another RCT (Tobar et al.23) was recognized as exhibiting a significant risk of bias, chiefly attributable to concerns regarding absent outcome data.

This study assessed the effectiveness and safety of nurse-led sedation protocols for mechanically ventilated adults in the ICU, drawing from 10 RCTs. The analysis of the clinical outcomes within the subgroups produced the results discussed below.

Analysis of subgroups to assess mortality rates in the ICU

To evaluate the influence of the nurse-led sedation protocol on mortality rates in mechanically ventilated adults within the ICU, a comparison was made against standard care. The RR was calculated for both the intervention and control groups, utilizing event data obtained from the selected RCTs,18, 19, 20, 21, 22, 23, 24, 25, 26, 27 as depicted in Figure 4. The forest plot (Figure 4A) demonstrates that the nurse-led sedation protocol significantly reduces the risk of ICU mortality when juxtaposed with usual care (RR = 0.34 (95% CI: 0.25 to 0.45); χ2 = 18.20, degrees of freedom (df) = 9, Z = 7.50, I2 = 38%, and p < 0.001). Furthermore, the symmetrical funnel plot (Figure 4B) and the statistically nonsignificant p-value for Begg’s test (p = 0.134), which surpasses the established significance threshold of 0.05, suggest a minimal likelihood of publication bias.

Analysis of subgroups to assess the duration of ICU admission

In order to assess the impact of the nurse-led sedation protocol on the length of ICU stay for mechanically ventilated adults in comparison to standard care, the SMD was calculated for both the intervention and control groups, utilizing event data sourced from the included RCTs,18, 19, 20, 21, 22, 23, 24, 25, 26, 27 as illustrated in Figure 5. The forest plot (Figure 5A) illustrates that the nurse-led sedation strategy yields a reduced length of stay in ICUs when contrasted with standard care (SMD = −1.58 (95% CI: −1.76 to −1.40); χ2= 26.30, df = 9, Z = 17.16, I2 = 66%, and p < 0.001). The symmetrical funnel plot (Figure 5B) and the nonsignificant p-value for Begg’s test (p = 0.176), which exceeds the established significance threshold of 0.05, indicate a minimal probability of publication bias.

Analysis of subgroups to assess the duration of hospitalization

In order to assess the influence of the nurse-led sedation protocol on the duration of hospital stay for mechanically ventilated adults in the ICU, a SMD was calculated for both the intervention and control groups, utilizing event data obtained from the relevant RCTs,18, 19, 20, 21, 22, 23, 24, 25, 26, 27 as illustrated in Figure 6. The forest plot (Figure 6A) illustrates that the nurse-led sedation protocol is associated with a reduced duration of hospital stay when contrasted with standard care (SMD = −1.70 (95% CI: –1.80 to –1.59); χ2= 21.74, df = 9, Z = 31.94, I2 = 79%, and p < 0.001). Moreover, the symmetrical funnel plot (Figure 6B) and the statistically insignificant p-value for Begg’s test (p = 0.185), which surpasses the designated significance threshold of 0.05, suggest a minimal probability of publication bias.

Analysis of subgroups to assess the length of mechanical ventilation

In order to evaluate the effect of the nurse-led sedation protocol on the duration of mechanical ventilation in adults receiving mechanical ventilation in the ICU, the SMD was calculated for both the intervention and control groups, utilizing event data obtained from the relevant RCTs,18, 19, 20, 21, 22, 23, 24, 25, 26, 27 as illustrated in Figure 7. The forest plot (Figure 7A) illustrates that the nurse-led sedation protocol led to a reduction in the duration of mechanical ventilation when contrasted with standard care practices as evidenced by a SMD of −1.94 (95% CI: −2.16 to −1.72); tau2 = 0.09, χ2= 33.91, df = 9, Z = 17.54, I2 = 73%, and p < 0.001). Moreover, the symmetrical funnel plot (Figure 7B), along with the statistically insignificant p-value for Begg’s test (p = 0.105), exceeding the established significance threshold of 0.05, indicates a minimal likelihood of publication bias.

Analysis of subgroups to evaluate the occurrence of self-extubation

A meta-analysis was performed to evaluate the impact of nurse-led sedation protocols on the occurrence of self-extubation among mechanically ventilated adults in ICUs, utilizing data from 10 RCTs.18, 19, 20, 21, 22, 23, 24, 25, 26, 27 The RR was computed for both the intervention and control groups, as illustrated in Figure 8. The forest plot (Figure 8A) indicates that there was no statistically significant difference in the incidence of self-extubation between the 2 groups, as evidenced by a RR of 1.02 (95% CI: 0.25 to 4.45, χ2 = 8.08, df = 9, Z = 0.16, I2 = 0%, and p = 0.877). Moreover, the symmetrical funnel plot (Figure 8B), along with the nonsignificant p-value for Begg’s test (p = 0.166), indicates a minimal probability of publication bias, given that the p-value surpasses the established significance threshold of 0.05.

Analysis of subgroups to evaluate the occurrence of delirium

To assess the impact of nurse-led sedation protocols on the incidence of delirium in mechanically ventilated adults in ICUs, the RR was calculated using event data extracted from 10 RCTs, as illustrated in Figure 9. The results presented in Figure 9A indicate that the RR for delirium was significantly lower in the nurse-led sedation protocol group compared to the usual care group, with an RR of 0.47 (95% CI: 0.39–0.57; χ2 = 10.60; df = 9; Z = 7.68; I2 = 15%; p < 0.001). Furthermore, the funnel plot (Figure 9B) demonstrates symmetry, and Begg’s test for publication bias yielded a nonsignificant p-value (p = 0.190), suggesting that the results are unlikely to be influenced by publication bias.

Discussion

This systematic review and meta-analysis of 10 RCTs aimed to provide a comprehensive overview of the current evidence on nurse-led sedation protocols. The results of this analysis demonstrate that nurse-led sedation protocols can significantly improve patient safety outcomes. In ICUs where physicians are not consistently present at the bedside, effective communication between nurses and physicians is essential for ensuring timely treatment modifications and facilitating timely modifications to treatment instructions.47, 48 However, this communication often results in delayed implementation of treatment instructions, which can compromise patient care.49 To address this challenge, the implementation of a nurse-led sedation protocol can empower ICU nurses to adjust sedation doses in real-time based on patients’ sedation scores, without requiring physician input. This approach can prevent complications arising from excessive or inadequate sedation, such as respiratory depression, cardiac instability, and prolonged mechanical ventilation.50, 51, 52 By delegating sedation management to nurses, nurse-led sedation protocols can expedite clinical decision-making, reduce delays in treatment, and ensure standardized medical management. This is particularly crucial in ICUs, where timely and effective management of sedation is essential to prevent complications and improve patient outcomes. The nurse-to-patient ratio in ICUs is a critical determinant of nursing workload, particularly in the management of mechanically ventilated patients.53, 54 Nurse-led sedation protocols in mechanically ventilated patients in ICUs involve a multidisciplinary approach to optimize sedation management. Nurses regularly assess patients’ sedation levels using standardized scales, such as the RASS or SAS, and adjust sedation medications accordingly. Vital signs and pain levels are continuously monitored, and sedation medications are titrated to maintain optimal sedation levels. Daily sedation interruptions and SATs are performed to assess patients’ ability to breathe spontaneously and reduce sedation-related AEs. Nurses also implement pain management strategies, such as administering analgesics or using non-pharmacological interventions. Collaboration with physicians, respiratory therapists, and other healthcare professionals ensures consistent sedation management and clear communication with patients and families promotes informed care. Regular review and updates of sedation protocols ensure consistency with current evidence-based practices, and quality metrics monitoring evaluates protocol effectiveness and identifies areas for improvement. A 2016 survey revealed that approx. 1/3 of nurse respondents perceived that optimal nurse-to-patient ratios (1:1 or 1:2) significantly impacted sedation practices,55 while 45% of respondents reported administering sedative medications to facilitate completion of other nursing tasks. Notably, ICUs with higher nurse-to-patient ratios tend to exhibit more standardized and efficient sedation management for mechanically ventilated patients, which may contribute to improved patient outcomes, including shorter durations of mechanical ventilation and ICU lengths of stay. Furthermore, nursing behavior is a pivotal factor in sedation management, and increased nursing workload can compromise adherence to nurse-led sedation protocols.56, 57, 58 Conversely, the implementation of nurse-led sedation protocols has been shown to enhance patient safety, as evidenced by reduced ICU mortality rates, which can be attributed to improved sedation management and practice, thereby mitigating the risk of AEs related to excessive sedation, such as nosocomial infections and delirium.59 Hernandez et al.60 presented findings from their study, which revealed that protocolized sedation, whether implemented through algorithmic approaches or daily interruptions, is a safe and effective strategy compared to standard management in ventilated ICU patients. The results demonstrated that protocolized sedation is associated with a reduced RR for mortality (0.80 and a 95% CI of 0.68 to 0.93). Additionally, protocolized sedation resulted in a decrease in ventilation days, with a SMD of −1.12 days (95% CI: −2.11 to −0.14), and a notable reduction in ICU stay with a SMD of −2.24 days (95% CI: −3.59 to −0.89). However, the incidence of self-extubation did not exhibit a significant difference, with an RR of 1.20 and a 95% CI of 0.49 to 2.94. The findings from this study provide valuable insights to inform evidence-based practices in sedation management for critically ill patients in ICUs. Minhas et al.61 conducted a systematic review and meta-analysis of RCTs to evaluate the effects of protocolized sedation, utilizing either algorithms or daily interruptions, in comparison to standard care without protocolized sedation, on clinical outcomes in mechanically ventilated adult patients in ICUs. The findings of the present meta-analysis indicate that, in mechanically ventilated adults treated in closed, non-specialized ICUs, the implementation of protocolized sedation is associated with a significant reduction in overall mortality (15%), as well as decreased lengths of stay in both the ICU (1.73 days) and hospital (3.55 days), and a lower incidence of tracheostomy (31%), when compared to standard care without protocolized sedation. Our findings indicate that nurse-led sedation protocols are capable of reducing the duration of mechanical ventilation and the length of stay in the ICU when compared to standard care practices. Nonetheless, the variability of these outcomes was considerable, aligning with the results of earlier meta-analyses. Our findings elucidate that these protocols are associated with a significant reduction in ICU mortality (RR = 0.34 (95% CI: 0.25 to 0.45); I2 = 38%, and p < 0.001), duration of mechanical ventilation (SMD = −1.94 (95% CI: −2.16 to −1.72); I2 = 73%, and p < 0.001), length of hospital stay (SMD = −1.70 (95% CI: −1.80 to −1.59); I2 = 79%, and p < 0.001), length of ICU stay [SMD = −1.58 (95% CI: −1.76 to −1.40); I2 = 66%, and p < 0.001), and incidence of delirium (RR = 0.47 (95% CI: 0.39 to 0.57); I2 = 15%, and p <0.001). Nevertheless, the examination revealed no notable disparity in the occurrence of self-extubation (RR = 1.02 (95% CI: 0.83 to 1.24); I2 = 0% and p = 0.87) when comparing the nurse-led sedation protocol to standard care. The subgroup analysis of RCTs demonstrated ongoing heterogeneity, potentially stemming from differences in protocol quality, patient demographics, and sedation methodologies across various ICUs. A multitude of factors could have played a role in the observed heterogeneity, encompassing disparities in sedation protocols and assessment scales, variations in the sedative agents utilized along with their dosages, and differing modalities of mechanical ventilation employed in ICUs.

Additionally, the quality of the sedation protocols, the experience and training of the nurses, and the availability of resources and equipment may have also influenced the outcomes. Therefore, future studies should aim to standardize sedation protocols, minimize variability in sedation practices, and control for potential confounding factors to provide more generalizable findings.

Limitations

However, it is essential to acknowledge the study’s limitations. Selection bias may exist because we excluded studies that did not meet the inclusion criteria. Second, this meta-analysis includes only 10 RCTs with small sample sizes, limiting precise comparisons. Third, the included trials varied in patient populations and usual care practices. Lastly, the evaluated outcomes are based on subjective data only. Consequently, future long-term follow-up RCTs with larger sample sizes, varied patient demographics, and standardized usual care interventions are essential to validate the enduring efficacy and safety of nurse-led sedation protocols on clinical outcomes in mechanically ventilated adults in ICUs, with the objective of enhancing patient care.

Conclusions

This systematic review and meta-analysis provide compelling evidence that nurse-led sedation protocols can safely enhance clinical outcomes for mechanically ventilated adults in ICUs. Implementation of these protocols was associated with significant reductions in ICU mortality, duration of mechanical ventilation, length of ICU and hospital stays, and the incidence of sedation-related AEs. Despite these promising results, further research is necessary to confirm the long-term efficacy and generalizability of nurse-led sedation protocols, particularly in light of the methodological limitations and relatively small sample sizes of the included studies. Future investigations employing rigorous designs and larger cohorts will be critical to advancing evidence-based practice, optimizing ICU management, and improving patient outcomes.

Supplementary data

The supplementary materials are available at https://doi.org/10.5281/zenodo.15655332. The package contains the following files:

Supplementary Table 1. Quality assessment based on the AMSTAR-2 criteria.

Consent for publication

Not applicable.

Use of AI and AI-assisted technologies

Not applicable.

Tables


Table 1. Database search strategy

Database

Search strategy

Scopus

#1 “Nurse-led sedation protocols” OR “Sedation” OR “Mechanical ventilation” OR “Intensive care unit” OR “ICU” OR “Physician-led usual care” OR “Non protocol directedsedation” OR “Duration of mechanical ventilation” OR “Length of stay in ICU” OR Length of hospital stay”OR “ICU mortality”OR “Incidence of self extubation” OR “Incidence of delirium”.

#2 “Systematic review” OR “Systematic review andmeta-analysis” OR “Meta-analysis” OR “RCT” OR “Randomized controlled trial”

#3 #1 AND #2

PubMed

#1 “Nurse-led sedation protocols” OR “Sedation” OR “Mechanical ventilation” OR “Intensive care unit”OR “ICU” OR “Physician-led usual care”[MeSH Terms] #OR “Non protocol directedsedation,” OR “Duration of mechanical ventilation,” OR “Length of stay in ICU,” OR “Length of hospital stay” [All Fields]”OR “ICU mortality” OR“Incidence of self extubation”[All Fields] OR “Incidence of delirium”[All Fields].

#2 “Systematic review,”,” [MeSH Terms] OR “Systematic review andmeta-analysis,” OR “Meta-analysis,” OR “RCT” [All Fields] OR “Randomized controlled trial”

#3 #1 AND #2

Embase

#1 “Nurse-led sedation protocols”/exp$ OR “Sedation”/expOR “Mechanical ventilation”/expOR “Intensive care unit”/exp OR “ICU”/exp OR “Physician-led usual care”/expOR “Non protocol directedsedation,”/exp OR “Duration of mechanical ventilation,”/exp OR “Length of stay in ICU”/exp OR“Length of hospital stay”/exp OR “ICU mortality”/expOR “Incidence of self extubation”/exp OR “Incidence of delirium”.

#2 “Systematic review”/exp OR “Systematic review and meta-analysis”/exp OR “Meta-analysis”/exp OR “RCT”/exp OR “Randomized controlled trial”/exp

#3 #1 AND #2

Cochrane Library

#1 (Nurse-led sedation protocols): ti, ab, kw@ OR(Sedation): ti, ab, kw OR(Mechanical ventilation): ti, ab, kwOR (ICU): ti, ab, kw OR (Physician-led usual care): ti, ab, kwOR (Non protocol directedsedation): ti, ab, kw OR (: ti, ab, kw OR (Duration of mechanical ventilation): ti, ab, kw OR (Length of stay in ICU) OR (Length of hospital stay): ti, ab, kwOR (ICU mortality): ti, ab, kwOR (Incidence of self extubation): ti, ab, kwOR (Incidence of delirium): ti, ab, kw(Word variations have been searched)

#2 (Systematic review):ti, ab, kw OR (Systematic review and meta-analysis): ti, ab, kw or (Meta-analysis):ti, ab, kw or (RCT): ti, ab, kw or (Randomized controlled trial):ti, ab, kw (Word variations have been searched)

#3 #1 AND #2

# MeSH terms – Medical Subject Headings; $ exp – explosion in Emtree-searching of selected subject terms and related subjects; @ ti, ab, kw – either title or abstract or keyword fields.
Table 2. Characteristics of the included randomized clinical trials (nurse-led protocol-directed sedation vs physician-led non-protocol-directed usual care for all studies)

Study ID and year

Country

Number of participants

Nurse–patient

ratio

Types of ICU settings

Age of participants

(mean ±SD)

Gender, male/female (%)

Outcomes analyzed

Abdar et al., 201318

Iran

132

1 : 2–3

3 ICUs of a university affiliated hospital

37.2 ±5.0

58/15

1,2,3,4,5,6

Bucknall et al., 200819

Australia

312

1 : 1

closed general ICU (24 beds) in a metropolitan teaching hospital

57.1 ±19.8

61.2/38.8

1,2,3,4,5,6

Carraway et al., 202120

USA

110

1 : 2–3

ICU in a level 2 hospital

68.4 ±2.8

58.2/41.8

1,2,3,4,5,6

Mansouri et al., 201321

Iran

201

1 : 1

2 mixed ICUs in a university affiliated hospital

52.9 ±20.1

63.2/36.8

1,2,3,4,5,6

Zhang et al., 201922

China

84

1 : 2–3

ICU in the university affiliated hospital

38.3 ±6.4

58.3/41.7

1,2,3,4,5,6

Tobar et al., 200823

Chile

40

1 : 1

Clinical Hospital of the University of Chile

65 ±19

58.4/41.6

1,2,3,4,5,6

Taran et al., 201924

Iran

70

1 : 1

ICU in a level 3 hospital

66.8 ±17.7

81.4/18.6

1,2,3,4,5,6

Namadian and Taran, 202125

Iran

78

1 : 2–3

ICU in a university affiliated hospital

54.5 ±11.6

78.2/21.8

1,2,3,4,5,6

Rashidi et al., 202026

Iran

60

1 : 1

ICU in a level 3 hospital

45.7 ±12.9

58.3/41.7

1,2,3,4,5,6

Yousefi et al., 201527

Iran

64

1 : 2–3

ICU in a university affiliated hospital

46.6 ±13.1

57.8/42.2

1,2,3,4,5,6

1 – duration of mechanical ventilation; 2 – length of stay in ICU; 3 – length of hospital stay; 4 – ICU mortality; 5 – incidence of delirium; 6 – incidence of self-extubation; ICU – intensive care unit; SD – standard deviation.
Table 3. Risk assessment for included studies

Study ID and year

Abdar et al., 201318

Bucknall et al., 200819

Carraway et al., 202120

Mansouri et al., 201321

Zhang et al., 201922

Tobar et al., 200823

Taran et al., 201924

Namadian and Taran, 202125

Rashidi et al., 202026

Yousefi et al., 201527

Was a consecutive or random sample of patients enrolled?

Y

Y

Y

Y

Y

Y

Y

Y

Y

Y

Did the study avoid inappropriate exclusions?

Y

Y

Y

Y

Y

Y

Y

Y

Y

Y

Did all patients receive the same reference standard?

Y

Y

Y

Y

Y

Y

Y

Y

Y

Y

Were all patients included in the analysis?

N

N

N

N

N

N

N

N

N

N

Was the sample frame appropriate to address the target population?

Y

Y

Y

Y

Y

Y

Y

Y

Y

Y

Were study participants sampled in an appropriate way?

Y

Y

Y

Y

Y

Y

Y

Y

Y

Y

Were the study subjects and the setting described in detail?

Y

Y

Y

Y

Y

Y

Y

Y

Y

Y

Were valid methods used for the identification of the condition?

Y

Y

Y

Y

Y

Y

Y

Y

Y

Y

Was the condition measured in a standard, reliable way for all participants?

Y

Y

Y

Y

Y

Y

Y

Y

Y

Y

Y – yes; N – no.

Figures


Fig. 1. Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) flow diagram illustrating the study selection process for the systematic review and meta-analysis
RCTs – randomized controlled trials.
Fig. 2. Traffic light plot depicting the risk of bias assessment
Fig. 3. Summary plot of the risk of bias assessment
Fig. 4. Subgroup analysis for intensive care unit (ICU) mortality. A. Forest plot; B. Funnel plot
Fig. 5. Subgroup analysis for length of intensive care unit (ICU) stay. A. Forest plot; B. Funnel plot
Fig. 6. Subgroup analysis for length of hospital stay. A. Forest plot; B. Funnel plot
Fig. 7. Subgroup analysis for duration of mechanical ventilation. A. Forest plot; B. Funnel plot
Fig. 8. Subgroup analysis for incidence of self-extubation. A. Forest plot; B. Funnel plot
Fig. 9. Subgroup analysis for incidence of delirium. A. Forest plot; B. Funnel plot

References (61)

  1. Hogarth DK, Hall J. Management of sedation in mechanically ventilated patients. Curr Opin Crit Care. 2004;10(1):40–46. doi:10.1097/00075198-200402000-00007
  2. Tate JA, Devito Dabbs A, Hoffman LA, Milbrandt E, Happ MB. Anxiety and agitation in mechanically ventilated patients. Qual Health Res. 2012;22(2):157–173. doi:10.1177/1049732311421616
  3. Epstein SK, Nevins ML, Chung J. Effect of unplanned extubation on outcome of mechanical ventilation. Am J Respir Crit Care Med. 2000;161(6):1912–1916. doi:10.1164/ajrccm.161.6.9908068
  4. Jackson DL, Proudfoot CW, Cann KF, Walsh T. A systematic review of the impact of sedation practice in the ICU on resource use, costs and patient safety. Crit Care. 2010;14(2):R59. doi:10.1186/cc8956
  5. Devlin JW, Skrobik Y, Gélinas C, et al. Clinical Practice Guidelines for the Prevention and Management of Pain, Agitation/Sedation, Delirium, Immobility, and Sleep Disruption in Adult Patients in the ICU. Crit Care Med. 2018;46(9):e825–e873. doi:10.1097/CCM.0000000000003299
  6. Faessler L, Kofler S, Wenke-Zobler J, et al. The use of nurse-led care intervention to improve self-care abilities subsequently decreasing readmission in multimorbid hospitalized patients: A quasi-experimental study in a real-world setting. Nurs Open. 2023;10(6):3787–3798. doi:10.1002/nop2.1637
  7. Mart MF, Williams Roberson S, Salas B, Pandharipande PP, Ely EW. Prevention and management of delirium in the intensive care unit. Semin Respir Crit Care Med. 2021;42(1):112–126. doi:10.1055/s-0040-1710572
  8. Sessler CN, Gosnell MS, Grap MJ, Brophy GM, O’Neal PV, Keane KA, Tesoro EP, Elswick RK. The Richmond Agitation-Sedation Scale: Validity and reliability in adult intensive care unit patients. Am J Respir Crit Care Med. 2002;166(10):1338-1344. doi:10.1164/rccm.2107138
  9. Zhong L, Shen K, Zhai S, et al. Application of sedation–agitation scale in conscious sedation before bronchoscopy in children. Medicine (Baltimore). 2019;98(1):e14035. doi:10.1097/MD.0000000000014035
  10. Dreyfus L, Javouhey E, Denis A, Touzet S, Bordet F. Implementation and evaluation of a paediatric nurse-driven sedation protocol in a paediatric intensive care unit. Ann Intensive Care. 2017;7(1):36. doi:10.1186/s13613-017-0256-7
  11. Temesgen N, Chekol B, Tamirie T, Eshetie D, Simeneh N, Feleke A. Adult sedation and analgesia in a resource limited intensive care unit: A systematic review and evidence based guideline. Ann Med Surg (Lond). 2021;66:102356. doi:10.1016/j.amsu.2021.102356
  12. Macpherson D, Hutchinson A, Bloomer MJ. Factors that influence critical care nurses’ management of sedation for ventilated patients in critical care: A qualitative study. Intensive Crit Care Nurs. 2024;83:103685. doi:10.1016/j.iccn.2024.103685
  13. Schianchi L, Harris J. Impact of nurse-driven analgesia and sedation protocols on medication exposure and withdrawal in critically ill children: A systematic review. Nurs Crit Care. 2025;30(3):e70051. doi:10.1111/nicc.70051
  14. Tsang JLY, Ross K, Miller F, et al. Qualitative descriptive study to explore nurses’ perceptions and experience on pain, agitation and delirium management in a community intensive care unit. BMJ Open. 2019;9(4):e024328. doi:10.1136/bmjopen-2018-024328
  15. Magner C, Valkenburg AJ, Doherty D, et al. The impact of introducing nurse-led analgesia and sedation guidelines in ventilated infants following cardiac surgery. Intensive Crit Care Nurs. 2020;60:102879. doi:10.1016/j.iccn.2020.102879
  16. Qi Z, Yang S, Qu J, et al. Effects of nurse-led sedation protocols on mechanically ventilated intensive care adults: A systematic review and meta-analysis. Aust Crit Care. 2021;34(3):278–286. doi:10.1016/j.aucc.2020.07.013
  17. Aitken LM, Bucknall T, Kent B, Mitchell M, Burmeister E, Keogh S. Sedation protocols to reduce duration of mechanical ventilation in the ICU: A Cochrane systematic review. J Adv Nurs. 2016;72(2):261–272. doi:10.1111/jan.12843
  18. Abdar ME, Rafiei H, Abbaszade A, et al. Effects of nurses’ practice of a sedation protocol on sedation and consciousness levels of patients on mechanical ventilation. Iran J Nurs Midwifery Res. 2013;18(5):391–395. PMID:24403942. PMCID:PMC3877462.
  19. Bucknall TK, Manias E, Presneill JJ. A randomized trial of protocol-directed sedation management for mechanical ventilation in an Australian intensive care unit. Crit Care Med. 2008;36(5):1444–1450. doi:10.1097/CCM.0b013e318168f82d
  20. Carraway JS, Carraway MW, Truelove CA. Nursing implementation of a validated agitation and sedation scale: An evaluation of its outcomes on ventilator days and ICU length of stay. Appl Nurs Res. 2021;57:151372. doi:10.1016/j.apnr.2020.151372
  21. Mansouri P, Javadpour S, Zand F, et al. Implementation of a protocol for integrated management of pain, agitation, and delirium can improve clinical outcomes in the intensive care unit: A randomized clinical trial. J Crit Care. 2013;28(6):918–922. doi:10.1016/j.jcrc.2013.06.019
  22. Zhang M, Yuan J, Chen Q, Qi Y, Jiang X, Liu B. Application of Narcotrend index and Richmond agitation-sedation score in sedation assessment of patients with short-term mechanical ventilation after pancreatoduodenectomy: A randomized controlled trial [in Chinese]. Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2019;31(6):737–741. PMID:31315733.
  23. Tobar EA, Lanas AM, Pino SP, et al. Protocol based sedation versus conventional treatment in critically ill patients on mechanical ventilation [in Spanish]. Rev Med Chil. 2008;136(6):711–718. PMID:18769826.
  24. Taran Z, Namadian M, Faghihzadeh S, Naghibi T. The effect of sedation protocol using Richmond Agitation Sedation Scale (RASS) on some clinical outcomes of mechanically ventilated patients in inten­sive care units: A randomized clinical trial. J Caring Sci. 2019;8(4):199–206. doi:10.15171/jcs.2019.028
  25. Namadian M, Taran Z. The effect of sedation protocol on sedation level and pharmacological and non-pharmacological interventions on mechanically ventilated patients. Iranian J Nurs Midwifery Res. 2021;26(4):316–323. doi:10.4103/ijnmr.IJNMR_165_20
  26. Rashidi M, Molavynejad S, Javadi N, Adineh M, Sharhani A, Poursangbur T. The effect of using Richmond agitation and sedation scale on hospital stay, ventilator dependence, and mortality rate in ICU inpatients: A randomised clinical trial. J Res Nurs. 2020;25(8):734–746. doi:10.1177/1744987120943921
  27. Yousefi H, Toghyani F, Yazdannik A, Fazel K. Effect of using Richmond AgitationSedation Scale on duration of mechanical ventilation, type and dosage of sedation on hospitalized patients in intensive care units. Iranian J Nurs Midwifery Res. 2015;20(6):700. doi:10.4103/1735-9066.170008
  28. Shea BJ, Reeves BC, Wells G, et al. AMSTAR 2: A critical appraisal tool for systematic reviews that include randomised or non-randomised studies of healthcare interventions, or both. BMJ. 2017;358:j4008. doi:10.1136/bmj.j4008
  29. Page MJ, McKenzie JE, Bossuyt PM, et al. The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ. 2021;372:n71. doi:10.1136/bmj.n71
  30. Brown D. A review of the PubMed PICO tool: Using evidence-based practice in health education. Health Promot Pract. 2020;21(4):496–498. doi:10.1177/1524839919893361
  31. Higgins JPT, Altman DG, Gøtzsche PC, et al. The Cochrane Collaboration’s tool for assessing risk of bias in randomised trials. BMJ. 2011;343:d5928. doi:10.1136/bmj.d5928
  32. Sterne JA, Egger M. Funnel plots for detecting bias in meta-analysis: Guidelines on choice of axis. J Clin Epidemiol. 2001;54(10):1046–1055. doi:10.1016/s0895-4356(01)00377-8
  33. Gjerdevik M, Heuch I. Improving the error rates of the Begg and Mazumdar test for publication bias in fixed effects meta-analysis. BMC Med Res Methodol. 2014;14(1):109. doi:10.1186/1471-2288-14-109
  34. Elovic A, Pourmand A. MDCalc Medical Calculator app review. J Digit Imaging. 2019;32(5):682–684. doi:10.1007/s10278-019-00218-y
  35. Schmidt L, Shokraneh F, Steinhausen K, Adams CE. Introducing RAPTOR: RevMan Parsing Tool for Reviewers. Syst Rev. 2019;8(1):151. doi:10.1186/s13643-019-1070-0
  36. Jing Y, Lin L. Comparisons of the mean differences and standardized mean differences for continuous outcome measures on the same scale. JBI Evid Synth. 2024;22(3):394–405. doi:10.11124/JBIES-23-00368
  37. George A, Stead TS, Ganti L. What’s the risk: Differentiating risk ratios, odds ratios, and hazard ratios? Cureus. 2020;12(8):e10047. doi:10.7759/cureus.10047
  38. George BJ, Aban IB. An application of meta-analysis based on DerSimonian and Laird method. J Nucl Cardiol. 2016;23(4):690–692. doi:10.1007/s12350-015-0249-6
  39. Albert A. Biostatistics: Facing the interpretation of 2 × 2 tables. J Belg Soc Radiol. 2017;101(Suppl 2):14. doi:10.5334/jbr-btr.1399
  40. Dettori JR, Norvell DC, Chapman JR. Seeing the forest by looking at the trees: How to interpret a meta-analysis forest plot. Global Spine J. 2021;11(4):614–616. doi:10.1177/21925682211003889
  41. Huedo-Medina TB, Sánchez-Meca J, Marín-Martínez F, Botella J. Assessing heterogeneity in meta-analysis: Q statistic or I2 index? Psychol Methods. 2006;11(2):193–206. doi:10.1037/1082-989X.11.2.193
  42. Migliavaca CB, Stein C, Colpani V, et al. Meta-analysis of prevalence: I2 statistic and how to deal with heterogeneity. Res Synth Methods. 2022;13(3):363–367. doi:10.1002/jrsm.1547
  43. Ugoni A, Walker BF. The chi square test: An introduction. COMSIG Rev. 1995;4(3):61–64. PMID:17989754. PMCID:PMC2050386.
  44. Gordon Lan KK, Soo Y, Siu C, Wang M. The use of weighted Z-tests in medical research. J Biopharm Stat. 2005;15(4):625–639. doi:10.1081/BIP-200062284
  45. Andrade C. The p-value and statistical significance: Misunderstandings, explanations, challenges, and alternatives. Indian J Psychol Med. 2019;41(3):210–215. doi:10.4103/IJPSYM.IJPSYM_193_19
  46. Lu C, Lu T, Ge L, Yang N, Yan P, Yang K. Use of AMSTAR-2 in the methodological assessment of systematic reviews: Protocol for a methodological study. Ann Transl Med. 2020;8(10):652–652. doi:10.21037/atm-20-392a
  47. Wang YY, Wan QQ, Lin F, Zhou WJ, Shang SM. Interventions to improve communication between nurses and physicians in the intensive care unit: An integrative literature review. Int J Nurs Sci. 2018;5(1):81–88. doi:10.1016/j.ijnss.2017.09.007
  48. Ervin JN, Kahn JM, Cohen TR, Weingart LR. Teamwork in the intensive care unit. Am Psychol. 2018;73(4):468–477. doi:10.1037/amp0000247
  49. Vermeir P, Vandijck D, Degroote S, et al. Communication in healthcare: A narrative review of the literature and practical recommendations. Int J Clin Pract. 2015;69(11):1257–1267. doi:10.1111/ijcp.12686
  50. Grap MJ, Munro CL, Wetzel PA, et al. Sedation in adults receiving mechanical ventilation: Physiological and comfort outcomes. Am J Crit Care. 2012;21(3):e53–e64. doi:10.4037/ajcc2012301
  51. Hetland B, Guttormson J, Tracy MF, Chlan L. “Sedation is tricky”: A qualitative content analysis of nurses’ perceptions of sedation administration in mechanically ventilated intensive care unit patients. Aust Crit Care. 2018;31(3):153–158. doi:10.1016/j.aucc.2018.02.001
  52. Patel SB, Kress JP. Sedation and analgesia in the mechanically ventilated patient. Am J Respir Crit Care Med. 2012;185(5):486–497. doi:10.1164/rccm.201102-0273CI
  53. Moghadam KN, Chehrzad MM, Masouleh SR, et al. Nursing workload in intensive care units and the influence of patient and nurse characteristics. Nurs Crit Care. 2021;26(6):425–431. doi:10.1111/nicc.12548
  54. Lee A, Cheung YSL, Joynt GM, Leung CCH, Wong WT, Gomersall CD. Are high nurse workload/staffing ratios associated with decreased survival in critically ill patients? A cohort study. Ann Intensive Care. 2017;7(1):46. doi:10.1186/s13613-017-0269-2
  55. McHugh MD, Aiken LH, Sloane DM, Windsor C, Douglas C, Yates P. Effects of nurse-to-patient ratio legislation on nurse staffing and patient mortality, readmissions, and length of stay: A prospective study in a panel of hospitals. Lancet. 2021;397(10288):1905–1913. doi:10.1016/S0140-6736(21)00768-6
  56. Shinotsuka CR, Salluh JIF. Perceptions and practices regarding delirium, sedation and analgesia in critically ill patients: A narrative review. Rev Bras Ter Intensiva. 2013;25(2):155–161. doi:10.5935/0103-507X.20130027
  57. Varga S, Ryan T, Moore T, Seymour J. What are the perceptions of intensive care staff about their sedation practices when caring for a mechanically ventilated patient? A systematic mixed-methods review. Int J Nurs Stud Adv. 2022;4:100060. doi:10.1016/j.ijnsa.2021.100060
  58. Barr J, Fraser GL, Puntillo K, et al. Clinical Practice Guidelines for the Management of Pain, Agitation, and Delirium in Adult Patients in the Intensive Care Unit. Crit Care Med. 2013;41(1):263–306. doi:10.1097/CCM.0b013e3182783b72
  59. Balzer F, Weiß B, Kumpf O, et al. Early deep sedation is associated with decreased in-hospital and two-year follow-up survival. Crit Care. 2015;19(1):197. doi:10.1186/s13054-015-0929-2
  60. Hernandez FLC, Ríos MVS, Bolivar YRC, Sánchez JIA. Optimizing patient outcomes: A comprehensive evaluation of protocolized sedation in intensive care settings. A systematic review and meta-analysis. Eur J Med Res. 2024;29(1):255. doi:10.1186/s40001-024-01839-y
  61. Minhas MA, Velasquez AG, Kaul A, Salinas PD, Celi LA. Effect of protocolized sedation on clinical outcomes in mechanically ventilated intensive care unit patients. Mayo Clin Proc. 2015;90(5):613–623. doi:10.1016/j.mayocp.2015.02.016