Supplemental Digital Content is available in the text
Keywords: acute respiratory failure, communication, evidence-based practice, mechanical ventilation, surrogate decision makers
Abstract
Approximately half of the surrogate decision makers of critically ill adults are at risk for negative emotional burden. Decision support and effective surrogate-clinician communication buffers against such experiences. The objective of this study is to evaluate the acceptability of a new surrogate-targeted educational tool that promotes engagement with clinicians and advocacy for 2 evidence-based practices in the provision of mechanical ventilation for acute respiratory failure: spontaneous awakening and breathing trials.
A panel of 44 former patients and surrogates of a 20-bed medical intensive care unit in a large academic hospital responded to an online survey. Acceptability was measured on 3 dimensions: attitudes toward the content and delivery of information, objective knowledge translation, and subjective knowledge acquisition.
More than 80% of participants found the tool to be easy to read, and over 90% felt that the tool provided actionable recommendations. A significant number of previously unsure participants were able to identify what spontaneous awakening and breathing trials are and when they occur, and 16% to 36% reported significant improvements in their subjective understanding of the target evidence-based practices, after being exposed to the educational tool.
This line of work seeks to reduce surrogates’ negative emotional burden while also promoting quality critical care. The educational tool provides a promising new way to promote surrogate-clinician communication, by increasing surrogates’ knowledge about and encouraging advocacy for evidence-based practices in the provision of mechanical ventilation.
1. Introduction
There are a number of evidence-based practices that dramatically improve the outcomes of patients receiving mechanical ventilation for acute respiratory failure. As part of the intensive care unit (ICU) liberation bundle, the Society of Critical Care Medicine recommends the regular use of both spontaneous awakening trials (SATs) and spontaneous breathing trials (SBTs).[1–3] Together, SATs and SBTs are associated with shorter duration of mechanical ventilation, reduced weaning time and reintubation rates, fewer complications such as over-sedation and delirium, and decreased ICU and hospital lengths of stay.[4–8] Yet, these recommendations have not been fully integrated into standard practice.[9–13] For example, while the data supporting SATs and SBTs are robust, safety concerns such as patient discomfort or accidental self-extubation continue to be significant barriers to practice.[4–8,11,13–16] Meanwhile, survivors remain at risk for prolonged mechanical ventilation and other ventilator associated events.[17–21]
Patients receiving mechanical ventilation for acute respiratory failure tend to be too critically ill to advocate on their own behalf, requiring that clinicians rely on family members or other types of surrogates as patient representatives. Unfortunately, surrogates’ participation in the medical decision-making process puts them at risk for anxiety, stress, doubt, and regret.[22–26] In fact, as many as a third to a half of surrogates experience negative emotional burden that can last for months if not years after a critical care incident.[22,25] Current guidelines recommend that clinicians provide surrogates with information that prepares them for decision-making and caregiver demands. Yet, these recommendations are based on moderate to poor quality evidence, leaving little guidance for exactly what information should be conveyed, when, and how.[19,27] Furthermore, little attention has been paid to surrogate experiences with decisions made outside of end-of-life discussions.[28] The current study begins to fill these knowledge gaps by testing the acceptability of a novel educational tool that activates surrogates as advocates for SATs and SBTs to promote weaning from and recovery after mechanical ventilation. The ultimate goal is to more fully engage surrogates as part of the care team; informed and engaged surrogates are less likely to experience negative emotional burden, particularly with regard to decisional doubt and regret.
The facilitating active management in lung injury with engaged surrogates (FAMILIES) study is centered upon an educational tool that was created by integrating communication theory with clinical recommendations for the provision of mechanical ventilation to patients with acute respiratory failure. The first part of the tool orients readers to the ICU by introducing the clinicians who are in charge of managing the ventilator and describing how to reach them. Using the theory of planned behavior as a guide, this section of the tool fosters positive attitudes toward communicating with clinicians by emphasizing surrogates’ role in helping to determine goals of care.[29,30] The second part of the tool defines SATs and SBTs, when they typically occur, and which clinicians can provide information about patients’ eligibility. A list of questions to help initiate surrogate-clinician communication about SATs and SBTs is provided at the end of the tool. Doing so targets surrogates’ efficacy beliefs, by reiterating who is in charge of managing the mechanical ventilator, and how to engage with them about SATs and SBTs. Surrogate-clinician communication about eligibility for SATs and SBTs should promote information exchanges and care goal alignment, thus reducing surrogates’ negative emotional burden often associated with underlying uncertainties inherent to the medical decision-making process.[31,32] These discussions also serve as a nudge to remind clinicians to regularly assess patients’ eligibilty for SATs and SBTs.
The objective of this study is to pilot the FAMILIES study educational tool. As with any newly developed tool, an important part of the piloting process is to ensure that key stakeholders, particularly the targets of the intervention, are satisfied with and find the tool to be acceptable. The implementation science literature defines acceptability as participants’ reactions to the content and delivery of an intervention, including ease of use, intention to act, and knowledge acquisition.[33,34] Accordingly, in the current study acceptability was measured on 3 dimensions: attitudes toward the content and delivery of the tool's information, objective knowledge translation (i.e., did participants learn key takeaways), and changes in subjective knowledge acquisition (i.e., did they feel that they learned something).[35]
2. Materials and methods
2.1. Setting and sample
This observational study evaluated former patients and surrogates of a 20-bed medical ICU housed within a large academic hospital in the Midwest. Participants were recruited through a patient and family engagement program affiliated with the university's hospital. All members over the age of 18 were eligible to participate. Participation was voluntary and the study was approved by the institutional review board.
2.2. Instruments
This acceptability pilot was conducted with an online survey that contained the written educational tool. In preparation for the current study, a Delphi process was used to refine the educational tool and to ensure that the content adheres to current clinical recommendations for SATs and SBTs. Well-respected practicing clinicians including 3 intensivists, 2 registered nurses, 2 respiratory therapists, a clinical pharmacist, and 3 clinical care coordinators participated in the process. After each iteration, adjustments were made to maintain a 7th grade reading-level, which corresponds with the projected average of surrogates.[36] The final version of the tool was scored at a 6.8 grade reading-level using the Microsoft Word version of the Flesch-Kincaid readability test, and was rated at 70.6 out of 100 on the Flesch reading ease test, where greater numbers indicate greater ease; scores over 60 can be understood by most Americans over the age of 15.[37] A supplementary video that narrates the tool was also created and included for auditory and multi-modal learners.[38] The video was created using online software; words appear as if typed on the screen as the educational materials from the written tool are read aloud using a voice-over.
The survey was built in and administered with Qualtrics, an online survey platform. The first part of the survey captured participants’ demographics. No identifying information was collected. The remainder of the survey focused on participants’ attitudes and opinions before and after exposure to the written educational materials and supplemental video.
Items capturing attitudes toward the content and delivery of the tool's information were based on the Agency for Healthcare Research and Quality (AHRQ's) assessment for patient educational materials.[36] The 5 items focused on the readability of the tool and whether recommendations for contacting clinicians were actionable (see Table 1). Participants could also respond to open-ended items asking if they had any additional thoughts about the materials.
Table 1.
Constructs and survey items.

Objective knowledge translation was captured on 12 items that were created and refined during the Delphi process used to develop the educational tool (see Table 1). The purpose of these items was to determine whether exposure to the tool improved participants’ ability to identify SATs and SBTs, when they should occur, and the clinicians responsible for managing the ventilator.
Subjective knowledge was captured with 4 items, which were also created and refined during the Delphi process described above. These items focused on participants’ reported understanding of SATs and SBTs, and whether they felt that they knew who to contact to discuss these target evidence-based practices.
2.3. Procedures
Enrollees in the hospital's patient and family engagement program received the survey link via email from a program administrator. This process was used to protect program participants’ identities; therefore, response rates are not known. The survey link remained active from April 1st, 2019 to April 15th, 2019.
The first part of the survey captured demographic information. For the remainder of the survey, participants were instructed to imagine that an adult family member or close friend has been admitted to the ICU and placed on mechanical ventilation due to fluid in their lungs; they (the participants) were to envision acting as their loved one's surrogate. This was approach was implemented to reduce any recall bias from their own experiences. Participants were asked about their communication preferences for engaging with clinicians (see Ervin for more).[39] Next, participants responded to the objective knowledge translation and subjective knowledge assessments to determine their baseline understanding of SATs and SBTs. Following that, participants read the written educational tool and watched the supplemental video, which were embedded in the survey. After exposure to the tool, participants responded to items capturing their attitudes toward the content and delivery of the information presented in the educational tool and supplemental video. Participants then responded to the same objective knowledge translation and subjective knowledge acquisition items as presented prior to exposure to the educational materials. The last set of items were from AHRQ's Patient Educational Assessment Tool for Printable Materials (PEMAT; not reported here but data available upon request). Participants were thanked for their participation and provided the PI's contact information at the end of the survey.
2.4. Data analysis
Data were analyzed using Stata 15 (StataCorp LLC, College Station, TX, USA).[40] In addition to descriptive statistics, non-parametric tests were used to evaluate pre- and post-exposure responses, as described in greater detail below. A post-hoc power analysis for repeated measures with an α of 0.05 and a power of 80% to detect a medium effect size (0.50) revealed that a total of 34 participants would be needed.
3. Results
3.1. Participant characteristics
A total of 44 participants completed the survey. As reported in Table 2, many participants were married white women in their mid-50's, who had received some college education. Despite such homogeneity, this sample is comparable to samples of surrogates drawn in similar contexts.[18] Of the 36% of participants with previous experience with mechanical ventilation, 2 had themselves been placed on ventilators; the 14 remaining had someone from their nuclear family receive mechanical ventilation during past hospitalizations.
Table 2.
Participant demographics.

For the analyses below, 8 participants were removed because they exited the survey without responding to the key acceptability dimensions: attitudes toward content and delivery of the information in the educational materials, objective knowledge translation, and subjective knowledge acquisition. Missing data from the remaining 36 participants was infrequent and omitted using pairwise deletion. Imputation procedures were not used because accurate effect sizes are needed to prepare for future work evaluating the feasibility of study procedures and efficacy of the tool.
3.2. Attitudes toward content and delivery of information
Cronbach α indicated that the internal consistency of the 5 items was lower than traditional thresholds at 0.67, but item analyses indicated that omitting any item would result in a lower alpha. In fact, findings revealed large and statistically significant associations among items such as “easy to read” and the amount of information provided in the tool (r = 0.49) and intention to contact the care team (r = 0.45), and intentions to contact the team and knowing what to talk to them about (r = 0.74); P's < .001. Response distributions were generally negatively skewed (see Table 3).
Table 3.
Means, standard deviations, and Pearson correlations among the attitudes toward content and delivery items.

Participants were generally positive when responding to open-ended items tasking their general thoughts about the educational tool. One participant stated:
“I thought the video easily went through the packet so audible learners could listen and visual could read. Great questions to have patients and family members think about or ask the team at the end.”
When asked about their specific thoughts on the written tool, multiple participants felt that it lacked visual appeal, despite following AHRQ guidelines for formatting the font, bolding, use of call-out boxes, and negative space. Other participants did not like the animatronic voice that was used to narrate the supplemental video. Fortunately, these issues did not appear to undermine the acceptability of the tool and are easily addressed with the use of a graphic designer.
3.3. Objective knowledge translation
Responses to the 12 multiple-choice items were recoded as correct/incorrect, and pre- and post-exposure scores were compared with McNemar tests, which are non-parametric tests intended for matched data collected from small samples. Findings suggest that exposure to the educational tool significantly increased participants’ abilities to identify SATs and when they should occur, and when SBTs should occur (see Table 4). The distribution of responses for identifying the importance of SATs and SBTs, and the appropriate clinicians to contact, were not significant; 80% to 95% of participants were able to identify the correct answers both pre- and post-exposure. There was also little evidence of harm (e.g., few participants shifted from correct to incorrect responses as a function of exposure to the tool).
Table 4.
Results from McNemar tests evaluating objective knowledge translation.

3.4. Subjective knowledge acquisition
The 4 subjective knowledge items were evaluated using Bowker tests, which compare distributions of responses in matched data. Findings indicated that a significant number of previously unsure participants felt that they understood what SATs and SBTs were after exposure to the intervention (see Tables 5–9). For example, 13 participants (36%) disagreed or strongly disagreed that they understood what a SAT was the beginning of the study. After exposure to the tool, 10 of those participants agreed, and the remaining 3 participants strongly agreed that they understood. Similarly, with understanding SBTs, 31% moved from disagree or strongly disagree to agree or strongly agree pre- and post-exposure to the tool. Regarding clinician interaction, 22% moved from being previously uncertain (i.e., disagreeing or strongly disagreeing that they knew who to talk to) about SATs to certain (agreeing or strongly agreeing) post-exposure to the tool, and 17% moved from uncertain to certain with regards to inquiries about SBTs. Importantly, none of the participants felt less certain as a function of being exposed to the educational tool.
Table 5.
Descriptive statistics for subjective knowledge translation.

Table 9.
Bowker test for subjective knowledge: understanding who to ask about spontaneous breathing trials.

Table 6.
Bowker's test for subjective knowledge: understanding of a spontaneous awakening trial.

Table 7.
Bowker's test for subjective knowledge: understanding of a spontaneous breathing trial.

Table 8.
Bowker test for subjective knowledge: understanding who to ask about spontaneous awakening trials.

4. Discussion
The overarching goal for the FAMILIES study is to fulfill 2 needs with 1 deed— to use an educational tool encouraging surrogate-clinician communication about eligibility for SATs and SBTs to reduce surrogates’ negative emotional burden while promoting best-practices in mechanical ventilation for patients suffering from acute respiratory failure. As a first step toward this end, the current study evaluated how a panel of former patients and surrogates would respond to this newly developed tool.
Overall, findings support the acceptability of the FAMILIES study tool. While minor changes were suggested regarding the delivery of information, participants found the tool to be easy to read, as well as helpful in determining which clinicians are responsible for managing mechanical ventilators and how to engage them. Participants’ knowledge significantly improved as a function of being exposed to the educational tool. Finally, there was little evidence of harm, in that exposure to the tool did not reduce participants’ objective or subjective understanding of the clinical situation.
This study is not without limitations. The small homogeneous sample makes it difficult to generalize, and some items were underpowered due to variable response rates. It is also worth noting that all participants had recent experiences with a hospitalization, and 36% with mechanical ventilation specifically. Yet, effect sizes for objective and subjective knowledge translation and acquisition were quite robust. Arguably those without the knowledge and experiences from a previous hospitalization have an even greater potential for learning to take place. The next section describes several steps that build upon the current study's findings.
5. Conclusions and future directions
The next step is to conduct a feasibility trial evaluating the practicality of recruiting and randomizing surrogates to an intervention arm or usual care, and the delivery of the study's materials in the ICU. Our ultimate goal is to determine whether and how to tailor the tool to successfully implement it within and across academic and community-based hospitals to improve the experiences of surrogates and the outcomes of the patients that they represent. We are also optimistic about the potential for adapting the FAMILIES study framework to other types of evidence-based practices.
Author contributions
Conceptualization: Jennifer N. Ervin.
Data curation: Jennifer N. Ervin.
Formal analysis: Jennifer N. Ervin.
Funding acquisition: Jennifer N. Ervin.
Investigation: Jennifer N. Ervin.
Methodology: Jennifer N. Ervin.
Project administration: Jennifer N. Ervin.
Resources: Jennifer N. Ervin.
Software: Jennifer N. Ervin.
Supervision: Jennifer N. Ervin.
Validation: Jennifer N. Ervin.
Visualization: Jennifer N. Ervin.
Writing – original draft: Jennifer N. Ervin.
Writing – review & editing: Jennifer N. Ervin.
Jennifer N. Ervin orcid: 0000-0003-1896-1275.
Supplementary Material
Footnotes
Abbreviations: 95% CI = 95% confidence interval, AHRQ = Agency for Healthcare Research and Quality, FAMILIES = facilitating active management in lung injury with engaged surrogates, ICU = intensive care unit, M = mean, PEMAT = Patient Educational Assessment Tool for Printable Materials, SAT = spontaneous awakening trial, SBT = spontaneous breathing trial, SD = standard deviation.
How to cite this article: Ervin JN. An acceptability pilot of the facilitating active management in lung illness with engaged surrogates (FAMILIES) study. Medicine. 2020;99:9(e19272).
This project was supported by K12HL138039 from the National Heart, Lung, and Blood Institute.
Disclaimer: The study was conducted at the University of Michigan. However, the content is the responsibilities of the author alone and does not necessarily reflect the views or policies of the University of Michigan nor the National Heart, Lung, and Blood Institute.
The authors have no conflicts of interest to disclose.
References
- [1].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;41:263–306. [DOI] [PubMed] [Google Scholar]
- [2].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:e825–73. [DOI] [PubMed] [Google Scholar]
- [3].da Silva Moraes F, Marengo LL, Silva MT, et al. ABCDE and ABCDEF care bundles: a systematic review protocol of the implementation process in intensive care units. Medicine (Baltimore) 2019;98:e14792. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [4].Girard TD, Kress JP, Fuchs BD, et al. Efficacy and safety of a paired sedation and ventilator weaning protocol for mechanically ventilated patients in intensive care (Awakening and Breathing Controlled trial): a randomised controlled trial. Lancet 2008;371:126–34. [DOI] [PubMed] [Google Scholar]
- [5].Kress JP, Pohlman AS, O’Connor MF, et al. Daily interruption of sedative infusions in critically ill patients undergoing mechanical ventilation. N Engl J Med 2000;342:1471–7. [DOI] [PubMed] [Google Scholar]
- [6].Ely EW, Baker AM, Dunagan DP, et al. Effect on the duration of mechanical ventilation of identifying patients capable of breathing spontaneously. N Engl J Med 1996;335:1864–9. [DOI] [PubMed] [Google Scholar]
- [7].Esteban A, Alia I, Gordo F, et al. Extubation outcome after spontaneous breathing trials with T-tube or pressure support ventilation. Am J Respir Crit Care Med 1997;156:459–65. [DOI] [PubMed] [Google Scholar]
- [8].Esteban A, AlÍa I, Tobin MJ, et al. Effect of spontaneous breathing trial duration on outcome of attempts to discontinue mechanical ventilation. Am J Respir Crit Care Med 1999;159:512–8. [DOI] [PubMed] [Google Scholar]
- [9].Morandi A, Piva S, Ely EW, et al. Worldwide ABCDEF (Assessing Pain, Both Spontaneous Awakening and Breathing Trials, Choice of Drugs, Delirium monitoring/management, Early exercise/mobility, and Family Empowerment) survey. Crit Care Med 2017;45:e1111–22. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [10].da Moraes F, Marengo L, Silva M, et al. ABCDE and ABCDEF care bundles. Medicine (Baltimore) 2019;98:e14792. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [11].Balas MC, Pun BT, Pasero C, et al. Common challenges to effective ABCDEF bundle implementation: The ICU Liberation Campaign Experience. Crit Care Nurse 2019;39:46–60. [DOI] [PubMed] [Google Scholar]
- [12].Costa DK, White MR, Ginier E, et al. Identifying barriers to delivering the awakening and breathing coordination, delirium, and early exercise/mobility bundle to minimize adverse outcomes for mechanically ventilated patients: a systematic review. Chest 2017;152:304–11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [13].Boehm LM, Dietrich MS, Vasilevskis EE, et al. Perceptions of workload burden and adherence to ABCDE bundle among intensive care providers. Am J Crit Care 2017;26:e38–47. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [14].Balas MC, Burke WJ, Gannon D, et al. Implementing the ABCDE bundle into everyday care: opportunities, challenges and lessons learned for implementing the ICU pain, agitation and delirium (PAD) guidelines. Crit Care Med 2013;41: S116–S127. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [15].Miller MA, Krein SL, George CT, et al. Diverse attitudes to and understandings of Spontaneous Awakening Trials (SAT): results from a statewide quality improvement collaborative. Crit Care Med 2013;41:1976–82. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [16].Guttormson JL, Chlan L, Weinert C, et al. Factors influencing nurse sedation practices with mechanically ventilated patients: a US national survey. Intensive Crit Care Nurse 2010;26:44–50. [DOI] [PubMed] [Google Scholar]
- [17].Wunsch H, Linde-Zwirble WT, Angus DC, et al. The epidemiology of mechanical ventilation use in the United States. Crit Care Med 2010;38:1947–53. [DOI] [PubMed] [Google Scholar]
- [18].Wunsch H, Wagner J, Herlim M, et al. ICU occupancy and mechanical ventilator use in the United States. Crit Care Med 2013;41:2712–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [19].Kon AA, Davidson JE, Morrison W, et al. Shared decision making in intensive care units: an American College of Critical Care Medicine and American Thoracic Society policy statement. Crit Care Med 2016;44:188–201. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [20].Hopkins RO, Jackson JC. Long-term neurocognitive function after critical illness. Chest 2006;130:869–78. [DOI] [PubMed] [Google Scholar]
- [21].Chu L, Matte A, Tomlinson G, et al. The RECOVER program: one-year disability in critically ill patients mechanically ventilated (MV) for 7 days. Am J Respir Crit Care Med 2015;191:191. [Google Scholar]
- [22].Goldfarb MJ, Bibas L, Bartlett V, et al. Outcomes of patient-and family-centered care interventions in the ICU: a systematic review and meta-analysis. Crit Care Med 2017;45:1751–61. [DOI] [PubMed] [Google Scholar]
- [23].Scheunemann LP, McDevitt M, Carson SS, et al. Randomized, controlled trials of interventions to improve communication in intensive care: a systematic review. Chest 2011;139:543–54. [DOI] [PubMed] [Google Scholar]
- [24].Wendler D, Rid A. Systematic review: the effect on surrogates of making treatment decisions for others. Ann Intern Med 2011;154:336–46. [DOI] [PubMed] [Google Scholar]
- [25].Johnson CC, Suchyta MR, Darowski ES, et al. Psychological sequelae in family caregivers of critically-ill intensive care unit patients: a systematic review. Ann Am Thorac Soc 2019;16:894–909. [DOI] [PubMed] [Google Scholar]
- [26].Torke AM, Sachs GA, Helft PR, et al. Scope and outcomes of surrogate decision making among hospitalized older adults. JAMA Intern Med 2014;174:370–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [27].Davidson JE, Aslakson RA, Long AC, et al. Guidelines for family-centered care in the neonatal, pediatric, and adult ICU. Crit Care Med 2017;45:103–28. [DOI] [PubMed] [Google Scholar]
- [28].van den Broek JM, Brunsveld-Reinders AH, Zedlitz AM, et al. Questionnaires on family satisfaction in the adult ICU: a systematic review including psychometric properties. Crit Care Med 2015;43:1731–44. [DOI] [PubMed] [Google Scholar]
- [29].Fishbein M, Ajzen I. Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research. Reading, MA: Addison-Wesley; 1975. [Google Scholar]
- [30].Ajzen I. The theory of planned behavior. Organ Behav Hum Decis Process 1991;50:179–211. [Google Scholar]
- [31].Haines KJ, Kelly P, Fitzgerald P, et al. The untapped potential of patient and family engagement in the organization of critical care. Crit Care Med 2017;45:899–906. [DOI] [PubMed] [Google Scholar]
- [32].Torke AM, Petronio S, Sachs GA, et al. A conceptual model of the role of communication in surrogate decision making for hospitalized adults. Patient Educ Couns 2012;87:54–61. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [33].Sekhon M, Cartwright M, Francis JJ. Acceptability of healthcare interventions: an overview of reviews and development of a theoretical framework. BMC Health Serv Res 2017;17: [DOI] [PMC free article] [PubMed] [Google Scholar]
- [34].Proctor E, Silmere H, Raghavan R, et al. Outcomes for implementation research: conceptual distinctions, measurement challenges, and research agenda. Adm Policy Ment Health 2011;38:65–76. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [35].Bowen DJ, Kreuter M, Spring B, et al. How we design feasibility studies. Am J Prev 2009;36:452–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [36]. Agency for Healthcare Research and Quality. Toolkit to improve safety for mechanically ventilated patients. Agency for Healthcare Research and Quality; 2017. Available at: http://www.ahrq.gov/professionals/quality-patient-safety/hais/tools/mvp/index.html. Accessed June 19, 2018. [Google Scholar]
- [37].Farr JN, Jenkins JJ, Paterson DG. Simplification of Flesch reading ease formula. J Apply Psychol 1951;35:333–7. [Google Scholar]
- [38].Daft RL, Lengel RH. Organizational information requirements, media richness and structural design. Manage Sci 1986;32:554–71. [Google Scholar]
- [39].Ervin JN. Communication expectations of critically ill patients and their families. J Emerg Crit Care Med 2019;3:48.doi:10/21037/jeccm.2019.09.02. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [40]. Stata Statistical Software: Release 15 [computer program]. College Station, TX: StataCorp LLC; 2017. [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
