An evaluation of learning clinical decision-making for early rehabilitation in the ICU via interactive education with audience response system

Learning in one minute: survey of the One Minute Wonder Network

BACKGROUND

Continuous education of clinicians improves quality of care. One Minute Wonder (OMW) summarize best practice knowledge on one page that can be hung on a wall and can be read during waiting times of just one minute. OMW are a fast, efficient and easy-to-adapt educational method and can easily be shared. Since 2018, an interprofessional network has been set up for OMW in German-speaking countries, but the benefits have not been evaluated yet.

AIM

The primary objective of this evaluation study was to examine whether and to what extent the members of the OMW network used OMW for training in different settings. Secondary objectives were subjective educational gain, OMW as a training method, and OMW-related structures and processes.

METHODS

An online survey within the OMW network with 301 members over a period of 3 weeks in 2020 was conducted. Descriptive statistics were used for data analysis.

RESULTS

Response rate was 62.8% (n = 191). Most participants have used OMW for < 6 months (32.5%, n = 62), developed 1-10 OMW (42.4%, n = 81) by themselves and changed them infrequently (43.5%, n = 74). Topics were most often nursing interventions (79.6%, n = 152), diseases (71.2%, n = 136), drugs (64.4%, n = 123) and others. Participants reported that OMW extended professional knowledge, stimulated them to reflect on their work and are useful for sharing best practice knowledge. Authors of OMW were most often nurses (53.9%, n = 103), who were inspired by the OMW network or by questions of the team.

CONCLUSION

Participants use OMW in practice to share best practice knowledge.

Assessment of mobilization capacity in 10 different ICU scenarios by different professions

Background

Mobilization of intensive care patients is a multi-professional task. Aim of this study was to explore how different professions working at Intensive Care Units (ICU) estimate the mobility capacity using the ICU Mobility Score in 10 different scenarios.

Methods

Ten fictitious patient-scenarios and guideline-related knowledge were assessed using an online survey. Critical care team members in German-speaking countries were invited to participate. All datasets including professional data and at least one scenario were analyzed. Kruskal Wallis test was used for the individual scenarios, while a linear mixed-model was used over all responses.

Results

In total, 515 of 788 (65%) participants could be evaluated. Physicians (p = 0.001) and nurses (p = 0.002) selected a lower ICU Mobility Score (-0.7 95% CI -1.1 to -0.3 and -0.4 95% CI -0.7 to -0.2, respectively) than physical therapists, while other specialists did not (p = 0.81). Participants who classified themselves as experts or could define early mobilization in accordance to the “S2e guideline: positioning and early mobilisation in prophylaxis or therapy of pulmonary disorders” correctly selected higher mobilization levels (0.2 95% CI 0.0 to 0.4, p = 0.049 and 0.3 95% CI 0.1 to 0.5, p = 0.002, respectively).

Conclusion

Different professions scored the mobilization capacity of patients differently, with nurses and physicians estimating significantly lower capacity than physical therapists. The exact knowledge of guidelines and recommendations, such as the definition of early mobilization, independently lead to a higher score. Interprofessional education, interprofessional rounds and mobilization activities could further enhance knowledge and practice of mobilization in the critical care team.

Audience Response Systems and Missingness Trends: Using Interactive Polling Systems to Gather Sensitive Health Information From Youth

BACKGROUND

The widespread availability and cost-effectiveness of new-wave software-based audience response systems (ARSs) have expanded the possibilities of collecting health data from hard-to-reach populations, including youth. However, with all survey methods, biases in the data may exist because of participant nonresponse.

OBJECTIVE

The aims of this study were to (1) examine the extent to which an ARS could be used to gather health information from youths within a large-group school setting and (2) examine individual- and survey-level response biases stemming from this Web-based data collection method.

METHODS

We used an ARS to deliver a mental health survey to 3418 youths in 4 high schools in the Midwestern United States. The survey contained demographic questions, depression, anxiety, and suicidality screeners, and questions about their use of offline resources (eg, parents, peers, and counselors) and Web-based resources (ie, telemental health technologies) when they faced stressful life situations. We then examined the response rates for each survey item, focusing on the individual- and survey-level characteristics that related to nonresponse.

RESULTS

Overall, 25.39% (868/3418) of youths answered all 38 survey questions; however, missingness analyses showed that there were some survey structure factors that led to higher rates of nonresponse (eg, questions at the end of survey, sensitive questions, and questions for which precise answers were difficult to provide). There were also some personal characteristics that were associated with nonresponse (eg, not identifying as either male or female, nonwhite ethnicity, and higher levels of depression). Specifically, a multivariate model showed that male students and students who reported their gender as other had significantly higher numbers of missed items compared with female students (B=.30 and B=.47, respectively, P<.001). Similarly, nonwhite race (B=.39, P<.001) and higher depression scores (B=.39, P<.001) were positively related to the number of missing survey responses.

CONCLUSIONS

Although our methodology-focused study showed that it is possible to gather sensitive mental health data from youths in large groups using ARSs, we also suggest that these nonresponse patterns need to be considered and controlled for when using ARSs for gathering population health data.

An Early Tailored Approach Is the Key to Effective Rehabilitation in the Intensive Care Unit

OBJECTIVE

To investigate the effectiveness, feasibility, and safety of an evidence-based rehabilitation care pathway in the intensive care unit (ICU) in different patient populations.

DESIGN

Observational prospective cohort study, with retrospective controls.

SETTING

ICUs of a university hospital.

PARTICIPANTS

Patients admitted between April 1, 2015, and June 30, 2015, were compared to a retrospective cohort admitted to the same ICUs during the same 3-month period in 2014. The number of patients studied (N=285) included 152 in the prospective group and 133 in the retrospective group.

INTERVENTIONS

The prospective cohort benefited of a rehabilitation care pathway based on (1) interdisciplinary teamwork; (2) early customized and goal-oriented rehabilitation; (3) daily functional monitoring and treatment revision; (4) agreed discharge policy; and (5) continuity of care. The retrospective cohort underwent usual care.

MAIN OUTCOME MEASURES

Included the following: (1) proportions of patients undergoing rehabilitation team evaluation; (2) latency between patient admission to ICUs and rehabilitation team assessment; (3) proportions of patients undergoing rehabilitation treatment during ICU stay; (4) latency between the patient admission to ICUs and rehabilitation start; (5) ICU stay and total acute hospital stay; and (5) proportion of ventilator-free days out of ICU stay.

RESULTS

The novel rehabilitation care pathway led to (1) an increased proportion of patients receiving rehabilitative assessment (P<.0001); (2) a decreased latency from ICU admission to both rehabilitation team assessment and rehabilitation start (P<.0001); (3) an increased proportion of patients undergoing rehabilitation (P<.0001); (4) a shorter length of stay in ICUs (P<.0001) and in hospital (P=.047); and (5) a shorter mechanical ventilation duration (P<.02). A direct relationship between rehabilitation start latency and ICU length of stay was observed.

CONCLUSIONS

An early, interdisciplinary team approach, providing a customized dynamic planning of physiotherapy programs, increases ventilator-free time and reduces total hospital stay, especially in patients admitted to the ICU after general surgery. This rehabilitation care pathway can be generalized to different geopolitical scenarios, being feasible, safe and cost effective.