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End-of-life Decision-making in Patients With Sepsis-related Organ Failure (EIDECS)

C

Center for Sepsis Control and Care, Germany

Status

Completed

Conditions

Severe Sepsis

Treatments

Behavioral: SOPs for decision-making and communication

Study type

Interventional

Funder types

Other

Identifiers

Details and patient eligibility

About

The care of patients with sepsis-related organ failure on the intensive care unit (ICU) often includes end-of-life decision (EOL-D) and communication of such decisions to relatives. This increases the psychological burden for caregiver and relatives.

The investigators intend to assess the prevalence and impact of EOL-D on ICU care-givers and relatives ("before") and to use this data to develop and implement standard operating procedures (SOPs) for improved decision-making and communication of these decisions ("after").

The hypothesis is that an improved communication strategy will reduce symptoms of burnout in caregivers and symptoms of anxiety and depression in relatives.

Full description

BACKGROUND About half of patients with sepsis related organ failure die on the ICU, frequently after end-of-life decisions (EOL-D), i.e. the decision to withdraw or withhold life-supporting therapies or forgo cardiopulmonary resuscitation. Lack of SOPs about how to communicate and share EOL-decisionmaking among staff and to communicate EOL-D to relatives may increase burnout and anxiety in staff as well as relatives. Also, there is uncertainty about the role of patients' advance directives in EOL-Decision-making.

HYPOTHESES 1. SOPs for interdisciplinary EOL-decisions will alleviate staff burnout; 2. A structured strategy to communicate EOL-decisions to relatives will lead to reduced anxiety and depression in relatives 3 months after the event.

AIMS 1. to develop SOPs for EOL-decision-making which improve timeliness of EOL-D and involvement of interdisciplinary care-givers. 2. to develop a strategy how to communicate these EOL-D to relatives including a structured procedure for participants, set-up, times and content. These aims may be adapted according to the findings of the observation period.

CONDUCT The study is designed as an interrupted time series analysis ("before/after study") located on the mixed, neurological and medical ICUs of the Jena University Hospital. It is composed of 3 observation periods separated by phases of data analysis and implementation of changes in behavioral practice. After the first phase of observation and data analysis, SOPs including an improved communication strategy with relatives will be developed on the basis of the collected data. SOPs will be developed and implemented on participating ICUs. In the following second observation period data will be collected to assess changed procedures and primary endpoints. A third round of data analysis, interpretation and observation will enable to further adapt SOPs and achieve sustainability ("post-implementation phase").

ESTIMATED ENROLLMENT Enrollment of 180 staff members (physicians and nursing staff) and 90 relatives during each study phase

Enrollment

174 patients

Sex

All

Volunteers

No Healthy Volunteers

Inclusion and exclusion criteria

Staff:

Inclusion Criteria:

  • all physicians and nursing staff who treat patients with sepsis-related organ failure on participating ICUs who consent to participate

Exclusion Criteria:

  • Decline to participate

Relatives:

  • Relatives of patients with sepsis-related organ failure and EOL-D who consent to participate

Exclusion Criteria:

  • Decline to participate

Trial design

Primary purpose

Health Services Research

Allocation

Non-Randomized

Interventional model

Single Group Assignment

Masking

None (Open label)

174 participants in 2 patient groups

"Before"
No Intervention group
Description:
No Intervention Observation of current practice
"After"
Other group
Description:
SOPs for decision-making and communication Assessment of practice after implementation of SOPs
Treatment:
Behavioral: SOPs for decision-making and communication

Trial contacts and locations

1

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Data sourced from clinicaltrials.gov

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