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A Pilot Randomized Trial of an Interactive Web-based Tool to Support Surrogate Decision Makers in the Intensive Care Unit.

ABSTRACT: Rationale: Breakdowns in clinician-family communication in intensive care units (ICUs) are common, yet there are no easily scaled interventions to prevent this problem.Objectives: To assess the feasibility, usability, acceptability, and perceived effectiveness of a communication intervention that pairs proactive family meetings with an interactive, web-based tool to help surrogates prepare for clinician-family meetings.Methods: We conducted a two-arm, single-blind, patient-level randomized trial comparing the Family Support Tool with enhanced usual care in two ICUs in a tertiary-care hospital. Eligible participants included surrogates of incapacitated patients judged by their physicians to have ≥40% risk of death or severe long-term functional impairment. The intervention group received unlimited tool access, with prompts to complete specific content upon enrollment and before two scheduled family meetings. Before family meetings, research staff shared with clinicians a one-page summary of surrogates' main questions, prognostic expectations, beliefs about the patient's values, and attitudes about goals of care. The comparator group received usual care enhanced with scheduled family meetings. Feasibility outcomes included the proportion of participants who accessed the tool before the first family meeting, mean number of logins, and average tool engagement time. We assessed tool usability with the System Usability Scale, assessed tool acceptability and perceived effectiveness with internally developed questionnaires, and assessed quality of communication and shared decision-making using the Quality of Communication questionnaire.Results: Of 182 screened patients, 77 were eligible. We enrolled 52 (67.5%) patients and their primary surrogate. Ninety-six percent of intervention surrogates (24/25) accessed the tool before the first family meeting (mean engagement time, 62 min ± 27.7) and logged in 4.2 times (±2.1) on average throughout the hospitalization. Surrogates reported that the tool was highly usable (mean, 82.4/100), acceptable (mean, 4.5/5 ± 0.9), and effective (mean, 4.4/5 ± 0.2). Compared with the control group, surrogates who used the tool reported higher overall quality of communication (mean, 8.9/10 ± 1.6 vs. 8.0/10 ± 2.4) and higher quality in shared decision-making (mean, 8.7/10 ± 1.5 vs. 8.0/10 ± 2.4), but the difference did not reach statistical significance.Conclusions: It is feasible to deploy an interactive web-based tool to support communication and shared decision-making for surrogates in ICUs. Surrogates and clinicians rated the tool as highly usable, acceptable, and effective.

SUBMITTER: Suen AO

PROVIDER: S-EPMC8328375 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:IntroductionAlthough family members of incapacitated, critically ill patients often struggle in the role of surrogate decision maker, there are no low-cost, easily-scaled interventions to address this problem.Aim of the studyTo develop and pilot-test the Family Support Tool, an interactive, web-based tool to help individuals navigate the complexities of surrogate decision making in ICUs.Material and methodsWe used a mixed methods, user-centered process to create the Family Support Tool, including: 1) creation of a preliminary design by an expert panel; 2) engagement of a key stakeholder panel to iteratively refine the preliminary design; 3) user testing of a low-fidelity prototype of the tool by 6 former ICU surrogates; 4) creation of a web-based prototype; and 5) user testing of the web-based prototype with 14 surrogates and ICU physicians, including semi-structured interviews and quantitative measurement of usability, acceptability, and perceived effectiveness.ResultsThe initial design contained a collection of videos and exercises designed to help individuals understand the surrogate's role and think through the patient's values and preferences. Based on family stakeholders' feedback about the emotional overwhelm they experience early in an ICU stay, we redesigned the tool to be viewed in sections, with the first section focused on decreasing surrogates' emotional distress, and later sections focused on helping surrogates prepare for family meetings. Surrogates actively making decisions in the ICU judged the final tool to be highly usable (mean summary score 83.5, correlating to 95th percentile when normalized to devices of its type), acceptable (mean 4.2 +/- 0.5 out of 5), and effective (mean 4.3 +/- 0.6 out of 5). All surrogates reported the tool helped them consider goals of care and all indicated they would recommend the tool to a friend.ConclusionsWe successfully developed a web-based tool to help individuals navigate the complexities of surrogate decision making in ICUs that has high potential for scalability. Surrogates judged the tool to be usable, acceptable, and effective. These data support proceeding to test the tool in a pilot randomized clinical trial.

Project description:BackgroundSurrogate decision makers of stroke patients are often unprepared to make critical decisions on life-sustaining treatments. We describe the development process and key features for the Understanding Stroke web-based decision support tool.MethodsWe used multiple strategies to develop a patient-centered, tailored decision aid. We began by forming a Patient and Family Advisory Council to provide continuous input to our multidisciplinary team on the development of the tool. Additionally, focus groups consisting of nurses, therapists, social workers, physicians, stroke survivors, and family members reviewed key elements of the tool, including prognostic information, graphical displays, and values clarification exercise. To design the values clarification exercise, we asked focus groups to provide feedback on a list of important activities of daily living. An ordinal prognostic model was developed for ischemic stroke and intracerebral hemorrhage using data taken from the Virtual International Stroke Trials Archive Plus, and incorporated into the tool.ResultsFocus group participants recommended making numeric prognostic information optional due to possible emotional distress. Pie charts were generally favored by participants for graphical presentation of prognostic information, though a horizontal stacked bar chart was also added due to its prevalence in stroke literature. Plain language descriptions of the modified Rankin Scale were created to accompany the prognostic information. A values clarification exercise was developed consisting of a list of 13 situations that may make an individual consider comfort measures only. The final version of the web based tool (which can be viewed on tablets) included the following sections: general introduction to stroke, outcomes (prognostic information and recovery), in-hospital and life-sustaining treatments, decision making and values clarification, post-hospital care, tips for talking to the health care team, and a summary report. Preliminary usability testing received generally favorable feedback.ConclusionWe developed Understanding Stroke, a tailored decision support tool for surrogate decision makers of stroke patients. The tool was well received and will be formally pilot tested in a group of stroke surrogate decision makers.Trial registrationClinicalTrials.gov ( NCT03427645 ).

Project description:BackgroundPromising health interventions tested in pilot studies will only achieve population-wide impact if they are implemented at scale across communities and health systems. Scaling up effective health interventions is vital as not doing so denies the community the most effective services and programmes. However, there remains a paucity of practical tools to assess the suitability of health interventions for scale-up. The Intervention Scalability Assessment Tool (ISAT) was developed to support policy-makers and practitioners to make systematic assessments of the suitability of health interventions for scale-up.MethodsThe ISAT was developed over three stages; the first stage involved a literature review to identify similar tools and frameworks that could be used to guide scalability assessments, and expert input to develop draft ISAT content. In the second stage, the draft ISAT tool was tested with end users. The third stage involved revising and re-testing the ISAT with end users to further refine the language and structure of the final ISAT.ResultsA variety of information and sources of evidence should be used to complete the ISAT. The ISAT consists of three parts. Part A: 'setting the scene' requires consideration of the context in which the intervention is being considered for scale-up and consists of five domains, as follows: (1) the problem; (2) the intervention; (3) strategic/political context; (4) evidence of effectiveness; and (5) intervention costs and benefits. Part B asks users to assess the potential implementation and scale-up requirements within five domains, namely (1) fidelity and adaptation; (2) reach and acceptability; (3) delivery setting and workforce; (4) implementation infrastructure; and (5) sustainability. Part C generates a graphical representation of the strengths and weaknesses of the readiness of the proposed intervention for scale-up. Users are also prompted for a recommendation as to whether the intervention (1) is recommended for scale-up, (2) is promising but needs further information before scaling up, or (3) does not yet merit scale-up.ConclusionThe ISAT fills an important gap in applied scalability assessment and can become a critical decision support tool for policy-makers and practitioners when selecting health interventions for scale-up. Although the ISAT is designed to be a health policy and practitioner tool, it can also be used by researchers in the design of research to fill important evidence gaps.

Project description:Individuals acting as surrogate decision makers for critically ill patients frequently struggle in this role and experience high levels of long-term psychological distress. Prior interventions designed to improve the sharing of information by the clinical team with surrogate decision makers have demonstrated little effect on surrogates' outcomes or clinical decisions. In this report, we describe the study protocol and corresponding intervention fidelity monitoring plan for a multicenter randomized clinical trial testing the impact of a multifaceted surrogate support intervention (Four Supports) on surrogates' psychological distress, the quality of decisions about goals of care, and healthcare use. We will randomize the surrogates of 300 incapacitated critically ill patients at high risk of death and/or severe long-term functional impairment to receive the Four Supports intervention or an education control. The Four Supports intervention adds to the intensive care unit (ICU) team a trained interventionist (family support specialist) who delivers four types of protocolized support-emotional support; communication support; decisional support; and, if indicated, anticipatory grief support-to surrogates through daily interactions during the ICU stay. The primary outcome is surrogates' symptoms of anxiety and depression at 6-month follow-up, measured with the Hospital Anxiety and Depression Scale. Prespecified secondary outcome measures are the Patient Perception of Patient Centeredness Scale (modified for use with surrogates) and Impact of Event Scale scores at 3- and 6-month follow-up, respectively, together with ICU and hospital lengths of stay and total hospital cost among decedents. The fidelity monitoring plan entails establishing and measuring adherence to the intervention using multiple measurement methods, including daily checklists and coding of audiorecorded encounters. This approach to intervention fidelity may benefit others designing and testing behavioral interventions in the ICU setting. Clinical trial registered with www.clinicaltrials.gov (NCT01982877).

Project description:BackgroundDialysis is often initiated in the hospital during episodes of acute kidney injury and critical illness. Little is known about how patients or their surrogate decision makers feel about dialysis initiation in the inpatient setting.MethodsWe conducted a prospective cohort study at a large academic center in the United States. All patients who initiated dialysis during a 30-day period in 2016 were approached for enrollment. Study participants were defined as individuals who provided consent for dialysis initiation - either the patient or a surrogate decision-maker. Decisional satisfaction and the degree of shared decision-making were assessed using the decisional attitude scale and the control preferences scale, respectively. These scales were incorporated into a study questionnaire along with an exploratory structured interview.ResultsA total of 31 potential participants were eligible and 21 agreed to participate in the study. Continuous renal replacement therapy was used in 14 out of 21 cases (67%) and there was 33% in-hospital mortality in the study cohort. A majority (62%) of patients were unable to participate in the consent process for dialysis initiation and had to rely on a surrogate decision-maker. The mean score for the decisional attitude scale was 4.1 (95% CI 3.8-4.3) with a score of 5 corresponding to high decisional satisfaction. Most of the decisions were classified as shared and incorporated input from clinicians as well as patients or surrogates. Although 90% of participants agreed that they had a choice in making the decision, 81% were unable to mention any alternatives to dialysis initiation.ConclusionsDialysis initiation was associated with high decisional satisfaction and most participants felt that the decision incorporated input from patients and providers. However, inpatient dialysis initiation was commonly associated with loss of decisional capacity and reliance on a surrogate decision-maker. This finding is likely driven by critical illness. Survivors of critical illness who remain dialysis dependent may need to revisit conversations about the rationale, risks, and benefits of dialysis.

Project description:Background:Treatment decisions commonly have to be made in intensive care units (ICUs). These decisions are difficult for surrogate decision makers and often lead to decisional conflict, psychological distress, and treatments misaligned with patient preferences. Objective:To determine whether a decision aid about prolonged mechanical ventilation improved prognostic concordance between surrogate decision makers and clinicians compared with a usual care control. Design:Multicenter, parallel, randomized, clinical trial. (ClinicalTrials.gov: NCT01751061). Setting:13 medical and surgical ICUs at 5 hospitals. Participants:Adult patients receiving prolonged mechanical ventilation and their surrogates, ICU physicians, and ICU nurses. Intervention:A Web-based decision aid provided personalized prognostic estimates, explained treatment options, and interactively clarified patient values to inform a family meeting. The control group received information according to usual care practices followed by a family meeting. Measurements:The primary outcome was improved concordance on 1-year survival estimates, measured with the clinician-surrogate concordance scale (range, 0 to 100 percentage points; higher scores indicate more discordance). Secondary and additional outcomes assessed the experiences of surrogates (psychological distress, decisional conflict, and quality of communication) and patients (length of stay and 6-month mortality). Outcomes assessors were blinded to group allocation. Results:The study enrolled 277 patients, 416 surrogates, and 427 clinicians. Concordance improvement did not differ between intervention and control groups (mean difference in score change from baseline, -1.7 percentage points [95% CI, -8.3 to 4.8 percentage points]; P = 0.60). Surrogates' postintervention estimates of patients' 1-year prognoses did not differ between intervention and control groups (median, 86.0% [interquartile range {IQR}, 50.0%] vs. 92.5% [IQR, 47.0%]; P = 0.23) and were substantially more optimistic than results of a validated prediction model (median, 56.0% [IQR, 43.0%]) and physician estimates (median, 50.0% [IQR, 55.5%]). Eighty-two intervention surrogates (43%) favored a treatment option that was more aggressive than their report of patient preferences. Although intervention surrogates had greater reduction in decisional conflict than control surrogates (mean difference in change from baseline, 0.4 points [CI, 0.0 to 0.7 points]; P = 0.041), other surrogate and patient outcomes did not differ. Limitation:Contamination among clinicians could have biased results toward the null hypothesis. Conclusion:A decision aid about prolonged mechanical ventilation did not improve prognostic concordance between clinicians and surrogates, reduce psychological distress among surrogates, or alter clinical outcomes. Decision support in acute care settings may require greater individualized attention for both the cognitive and affective challenges of decision making. Primary Funding Source:National Institutes of Health.

Project description:IntroductionAlthough shortcomings in clinician-family communication and decision making for incapacitated, critically ill patients are common, there are few rigorously tested interventions to improve outcomes. In this manuscript, we present our methodology for the Pairing Re-engineered Intensive Care Unit Teams with Nurse-Driven Emotional support and Relationship Building (PARTNER 2) trial, and discuss design challenges and their resolution.Methods and analysisThis is a pragmatic, stepped-wedge, cluster randomised controlled trial comparing the PARTNER 2 intervention to usual care among 690 incapacitated, critically ill patients and their surrogates in five ICUs in Pennsylvania. Eligible subjects will include critically ill patients at high risk of death and/or severe long-term functional impairment, their main surrogate decision-maker and their clinicians. The PARTNER intervention is delivered by the interprofessional ICU team and overseen by 4-6 nurses from each ICU. It involves: (1) advanced communication skills training for nurses to deliver support to surrogates throughout the ICU stay; (2) deploying a structured family support pathway; (3) enacting strategies to foster collaboration between ICU and palliative care services and (4) providing intensive implementation support to each ICU to incorporate the family support pathway into clinicians' workflow. The primary outcome is surrogates' ratings of the quality of communication during the ICU stay as assessed by telephone at 6-month follow-up. Prespecified secondary outcomes include surrogates' scores on the Hospital Anxiety and Depression Scale, the Impact of Event Scale, the modified Patient Perception of Patient Centredness scale, the Decision Regret Scale, nurses' scores on the Maslach Burnout Inventory, and length of stay during and costs of the index hospitalisation.We also discuss key methodological challenges, including determining the optimal level of randomisation, using existing staff to deploy the intervention and maximising long-term follow-up of participants.Ethics and disseminationWe obtained ethics approval through the University of Pittsburgh, Human Research Protection Office. The findings will be published in peer-reviewed journals.Trial registration numberNCT02445937.

Project description:BACKGROUND:Health care planning for pandemic influenza is a challenging task which requires predictive models by which the impact of different response strategies can be evaluated. However, current preparedness plans and simulations exercises, as well as freely available simulation models previously made for policy makers, do not explicitly address the availability of health care resources or determine the impact of shortages on public health. Nevertheless, the feasibility of health systems to implement response measures or interventions described in plans and trained in exercises depends on the available resource capacity. As part of the AsiaFluCap project, we developed a comprehensive and flexible resource modelling tool to support public health officials in understanding and preparing for surges in resource demand during future pandemics. RESULTS:The AsiaFluCap Simulator is a combination of a resource model containing 28 health care resources and an epidemiological model. The tool was built in MS Excel© and contains a user-friendly interface which allows users to select mild or severe pandemic scenarios, change resource parameters and run simulations for one or multiple regions. Besides epidemiological estimations, the simulator provides indications on resource gaps or surpluses, and the impact of shortages on public health for each selected region. It allows for a comparative analysis of the effects of resource availability and consequences of different strategies of resource use, which can provide guidance on resource prioritising and/or mobilisation. Simulation results are displayed in various tables and graphs, and can also be easily exported to GIS software to create maps for geographical analysis of the distribution of resources. CONCLUSIONS:The AsiaFluCap Simulator is freely available software (http://www.cdprg.org) which can be used by policy makers, policy advisors, donors and other stakeholders involved in preparedness for providing evidence based and illustrative information on health care resource capacities during future pandemics. The tool can inform both preparedness plans and simulation exercises and can help increase the general understanding of dynamics in resource capacities during a pandemic. The combination of a mathematical model with multiple resources and the linkage to GIS for creating maps makes the tool unique compared to other available software.

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A Pilot Randomized Trial of an Interactive Web-based Tool to Support Surrogate Decision Makers in the Intensive Care Unit.

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