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Ashana DC, Welsh W, Preiss D, Sperling J, You H, Tu K, Carson SS, Hough C, White DB, Kerlin M, Docherty S, Johnson KS, Cox CE. Racial Differences in Shared Decision-Making About Critical Illness. JAMA Intern Med 2024; 184:424-432. [PMID: 38407845 PMCID: PMC10897823 DOI: 10.1001/jamainternmed.2023.8433] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Accepted: 12/18/2023] [Indexed: 02/27/2024]
Abstract
Importance Shared decision-making is the preferred method for evaluating complex tradeoffs in the care of patients with critical illness. However, it remains unknown whether critical care clinicians engage diverse patients and caregivers equitably in shared decision-making. Objective To compare critical care clinicians' approaches to shared decision-making in recorded conversations with Black and White caregivers of patients with critical illness. Design, Setting, and Participants This thematic analysis consisted of unstructured clinician-caregiver meetings audio-recorded during a randomized clinical trial of a decision aid about prolonged mechanical ventilation at 13 intensive care units in the US. Participants in meetings included critical care clinicians and Black or White caregivers of patients who underwent mechanical ventilation. The codebook included components of shared decision-making and known mechanisms of racial disparities in clinical communication. Analysts were blinded to caregiver race during coding. Patterns within and across racial groups were evaluated to identify themes. Data analysis was conducted between August 2021 and April 2023. Main Outcomes and Measures The main outcomes were themes describing clinician behaviors varying by self-reported race of the caregivers. Results The overall sample comprised 20 Black and 19 White caregivers for a total of 39 audio-recorded meetings with clinicians. The duration of meetings was similar for both Black and White caregivers (mean [SD], 23.9 [13.7] minutes vs 22.1 [11.2] minutes, respectively). Both Black and White caregivers were generally middle-aged (mean [SD] age, 47.6 [9.9] years vs 51.9 [8.8] years, respectively), female (15 [75.0%] vs 14 [73.7%], respectively), and possessed a high level of self-assessed health literacy, which was scored from 3 to 15 with lower scores indicating increasing health literacy (mean [SD], 5.8 [2.3] vs 5.3 [2.0], respectively). Clinicians conducting meetings with Black and White caregivers were generally young (mean [SD] age, 38.8 [6.6] years vs 37.9 [8.2] years, respectively), male (13 [72.2%] vs 12 [70.6%], respectively), and White (14 [77.8%] vs 17 [100%], respectively). Four variations in clinicians' shared decision-making behaviors by caregiver race were identified: (1) providing limited emotional support for Black caregivers, (2) failing to acknowledge trust and gratitude expressed by Black caregivers, (3) sharing limited medical information with Black caregivers, and (4) challenging Black caregivers' preferences for restorative care. These themes encompass both relational and informational aspects of shared decision-making. Conclusions and Relevance The results of this thematic analysis showed that critical care clinicians missed opportunities to acknowledge emotions and value the knowledge of Black caregivers compared with White caregivers. These findings may inform future clinician-level interventions aimed at promoting equitable shared decision-making.
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Affiliation(s)
- Deepshikha C. Ashana
- Department of Medicine, Duke University, Durham, North Carolina
- Duke-Margolis Center for Health Policy, Duke University, Durham, North Carolina
- Department of Population Health Sciences, Duke University, Durham, North Carolina
| | - Whitney Welsh
- Social Science Research Institute, Duke University, Durham, North Carolina
| | - Doreet Preiss
- Social Science Research Institute, Duke University, Durham, North Carolina
| | - Jessica Sperling
- Social Science Research Institute, Duke University, Durham, North Carolina
| | - HyunBin You
- School of Nursing, Duke University, Durham, North Carolina
| | - Karissa Tu
- School of Medicine, University of Washington, Seattle
| | | | - Catherine Hough
- Department of Medicine, Oregon Health and Science University, Portland
| | - Douglas B. White
- Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Meeta Kerlin
- Department of Medicine, University of Pennsylvania, Philadelphia
| | | | - Kimberly S. Johnson
- Department of Medicine, Duke University, Durham, North Carolina
- Geriatrics Research Education and Clinical Center (GRECC), Durham Veterans Affairs Healthcare System, Durham, North Carolina
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Yang C, Berkalieva A, Mazumdar M, Kwon D. Power calculation for detecting interaction effect in cross-sectional stepped-wedge cluster randomized trials: an important tool for disparity research. BMC Med Res Methodol 2024; 24:57. [PMID: 38431550 PMCID: PMC11323530 DOI: 10.1186/s12874-024-02162-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 01/25/2024] [Indexed: 03/05/2024] Open
Abstract
BACKGROUND The stepped-wedge cluster randomized trial (SW-CRT) design has become popular in healthcare research. It is an appealing alternative to traditional cluster randomized trials (CRTs) since the burden of logistical issues and ethical problems can be reduced. Several approaches for sample size determination for the overall treatment effect in the SW-CRT have been proposed. However, in certain situations we are interested in examining the heterogeneity in treatment effect (HTE) between groups instead. This is equivalent to testing the interaction effect. An important example includes the aim to reduce racial disparities through healthcare delivery interventions, where the focus is the interaction between the intervention and race. Sample size determination and power calculation for detecting an interaction effect between the intervention status variable and a key covariate in the SW-CRT study has not been proposed yet for binary outcomes. METHODS We utilize the generalized estimating equation (GEE) method for detecting the heterogeneity in treatment effect (HTE). The variance of the estimated interaction effect is approximated based on the GEE method for the marginal models. The power is calculated based on the two-sided Wald test. The Kauermann and Carroll (KC) and the Mancl and DeRouen (MD) methods along with GEE (GEE-KC and GEE-MD) are considered as bias-correction methods. RESULTS Among three approaches, GEE has the largest simulated power and GEE-MD has the smallest simulated power. Given cluster size of 120, GEE has over 80% statistical power. When we have a balanced binary covariate (50%), simulated power increases compared to an unbalanced binary covariate (30%). With intermediate effect size of HTE, only cluster sizes of 100 and 120 have more than 80% power using GEE for both correlation structures. With large effect size of HTE, when cluster size is at least 60, all three approaches have more than 80% power. When we compare an increase in cluster size and increase in the number of clusters based on simulated power, the latter has a slight gain in power. When the cluster size changes from 20 to 40 with 20 clusters, power increases from 53.1% to 82.1% for GEE; 50.6% to 79.7% for GEE-KC; and 48.1% to 77.1% for GEE-MD. When the number of clusters changes from 20 to 40 with cluster size of 20, power increases from 53.1% to 82.1% for GEE; 50.6% to 81% for GEE-KC; and 48.1% to 79.8% for GEE-MD. CONCLUSIONS We propose three approaches for cluster size determination given the number of clusters for detecting the interaction effect in SW-CRT. GEE and GEE-KC have reasonable operating characteristics for both intermediate and large effect size of HTE.
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Affiliation(s)
- Chen Yang
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Institute for Healthcare Delivery Science, Mount Sinai Health System, New York, NY, USA
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Asem Berkalieva
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Institute for Healthcare Delivery Science, Mount Sinai Health System, New York, NY, USA
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Madhu Mazumdar
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Institute for Healthcare Delivery Science, Mount Sinai Health System, New York, NY, USA
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Deukwoo Kwon
- Division of Clinical and Translational Sciences, Department of Internal Medicine, University of Texas Health Science Center at Houston, Houston, TX, USA.
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Cox CE, Ashana DC, Riley IL, Olsen MK, Casarett D, Haines KL, O’Keefe YA, Al-Hegelan M, Harrison RW, Naglee C, Katz JN, Yang H, Pratt EH, Gu J, Dempsey K, Docherty SL, Johnson KS. Mobile Application-Based Communication Facilitation Platform for Family Members of Critically Ill Patients: A Randomized Clinical Trial. JAMA Netw Open 2024; 7:e2349666. [PMID: 38175648 PMCID: PMC10767607 DOI: 10.1001/jamanetworkopen.2023.49666] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Accepted: 11/13/2023] [Indexed: 01/05/2024] Open
Abstract
Importance Unmet and racially disparate palliative care needs are common in intensive care unit (ICU) settings. Objective To test the effect of a primary palliative care intervention vs usual care control both overall and by family member race. Design, Setting, and Participants This cluster randomized clinical trial was conducted at 6 adult medical and surgical ICUs in 2 academic and community hospitals in North Carolina between April 2019 and May 2022 with physician-level randomization and sequential clusters of 2 Black patient-family member dyads and 2 White patient-family member dyads enrolled under each physician. Eligible participants included consecutive patients receiving mechanical ventilation, their family members, and their attending ICU physicians. Data analysis was conducted from June 2022 to May 2023. Intervention A mobile application (ICUconnect) that displayed family-reported needs over time and provided ICU attending physicians with automated timeline-driven communication advice on how to address individual needs. Main Outcomes and Measures The primary outcome was change in the family-reported Needs at the End-of-Life Screening Tool (NEST; range 0-130, with higher scores reflecting greater need) score between study days 1 and 3. Secondary outcomes included family-reported quality of communication and symptoms of depression, anxiety, and posttraumatic stress disorder at 3 months. Results A total of 111 (51% of those approached) family members (mean [SD] age, 51 [15] years; 96 women [86%]; 15 men [14%]; 47 Black family members [42%]; 64 White family members [58%]) and 111 patients (mean [SD] age, 55 [16] years; 66 male patients [59%]; 45 Black patients [41%]; 65 White patients [59%]; 1 American Indian or Alaska Native patient [1%]) were enrolled under 37 physicians randomized to intervention (19 physicians and 55 patient-family member dyads) or control (18 physicians and 56 patient-family member dyads). Compared with control, there was greater improvement in NEST scores among intervention recipients between baseline and both day 3 (estimated mean difference, -6.6 points; 95% CI, -11.9 to -1.3 points; P = .01) and day 7 (estimated mean difference, -5.4 points; 95% CI, -10.7 to 0.0 points; P = .05). There were no treatment group differences at 3 months in psychological distress symptoms. White family members experienced a greater reduction in NEST scores compared with Black family members at day 3 (estimated mean difference, -12.5 points; 95% CI, -18.9 to -6.1 points; P < .001 vs estimated mean difference, -0.3 points; 95% CI, -9.3 to 8.8 points; P = .96) and day 7 (estimated mean difference, -9.5 points; 95% CI, -16.1 to -3.0 points; P = .005 vs estimated mean difference, -1.4 points; 95% CI, -10.7 to 7.8; P = .76). Conclusions and Relevance In this study of ICU patients and family members, a primary palliative care intervention using a mobile application reduced unmet palliative care needs compared with usual care without an effect on psychological distress symptoms at 3 months; there was a greater intervention effect among White family members compared with Black family members. These findings suggest that a mobile application-based intervention is a promising primary palliative care intervention for ICU clinicians that directly addresses the limited supply of palliative care specialists. Trial Registration ClinicalTrials.gov Identifier: NCT03506438.
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Affiliation(s)
- Christopher E. Cox
- Department of Medicine, Division of Pulmonary and Critical Care Medicine, Duke University, Durham, North Carolina
- Program to Support People and Enhance Recovery (ProSPER), Duke University, Durham, North Carolina
| | - Deepshikha C. Ashana
- Department of Medicine, Division of Pulmonary and Critical Care Medicine, Duke University, Durham, North Carolina
- Program to Support People and Enhance Recovery (ProSPER), Duke University, Durham, North Carolina
| | - Isaretta L. Riley
- Department of Medicine, Division of Pulmonary and Critical Care Medicine, Duke University, Durham, North Carolina
| | - Maren K. Olsen
- Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina
- Durham Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Health Care System, Durham, North Carolina
| | - David Casarett
- Department of Medicine, Section of Palliative Care and Hospice Medicine, Duke University, Durham, North Carolina
| | - Krista L. Haines
- Department of Surgery, Division of Trauma and Critical Care and Acute Care Surgery, Duke University, Durham, North Carolina
| | | | - Mashael Al-Hegelan
- Department of Medicine, Division of Pulmonary and Critical Care Medicine, Duke University, Durham, North Carolina
| | - Robert W. Harrison
- Department of Medicine, Division of Cardiology, Duke University, Durham, North Carolina
| | - Colleen Naglee
- Department of Anesthesiology, Duke University, Durham, North Carolina
| | - Jason N. Katz
- Department of Medicine, Division of Cardiology, Duke University, Durham, North Carolina
| | - Hongqiu Yang
- Duke Clinical Research Institute, Duke University, Durham, North Carolina
| | - Elias H. Pratt
- Department of Medicine, Division of Pulmonary and Critical Care Medicine, Duke University, Durham, North Carolina
- Program to Support People and Enhance Recovery (ProSPER), Duke University, Durham, North Carolina
| | - Jessie Gu
- Department of Medicine, Division of Pulmonary and Critical Care Medicine, Duke University, Durham, North Carolina
- Program to Support People and Enhance Recovery (ProSPER), Duke University, Durham, North Carolina
| | - Katelyn Dempsey
- Department of Medicine, Division of Pulmonary and Critical Care Medicine, Duke University, Durham, North Carolina
- Program to Support People and Enhance Recovery (ProSPER), Duke University, Durham, North Carolina
| | | | - Kimberly S. Johnson
- Department of Medicine, Division of Geriatrics, Duke University, Durham, North Carolina
- Geriatrics Research, Education, and Clinical Center, Veterans Affairs Health Care System, Durham, North Carolina
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Islam Z, Pollock K, Patterson A, Hanjari M, Wallace L, Mururajani I, Conroy S, Faull C. Thinking ahead about medical treatments in advanced illness: a qualitative study of barriers and enablers in end-of-life care planning with patients and families from ethnically diverse backgrounds. HEALTH AND SOCIAL CARE DELIVERY RESEARCH 2023; 11:1-135. [PMID: 37464868 DOI: 10.3310/jvfw4781] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/20/2023]
Abstract
Background This study explored whether or not, and how, terminally ill patients from ethnically diverse backgrounds and their family caregivers think ahead about deterioration and dying, and explored their engagement with health-care professionals in end-of-life care planning. Objective The aim was to address the question, what are the barriers to and enablers of ethnically diverse patients, family caregivers and health-care professionals engaging in end-of-life care planning? Design This was a qualitative study comprising 18 longitudinal patient-centred case studies, interviews with 19 bereaved family caregivers and 50 public and professional stakeholder responses to the findings. Setting The study was set in Nottinghamshire and Leicestershire in the UK. Results Key barriers - the predominant stance of patients was to live with hope, considering the future only in terms of practical matters (wills and funerals), rather than the business of dying. For some, planning ahead was counter to their faith. Health-care professionals seemed to feature little in people's lives. Some participants indicated a lack of trust and experienced a disjointed system, devoid of due regard for them. However, religious and cultural mores were of great importance to many, and there were anxieties about how the system valued and enabled these. Family duty and community expectations were foregrounded in some accounts and concern about being in the (un)care of strangers was common. Key enablers - effective communication with trusted individuals, which enables patients to feel known and that their faith, family and community life are valued. Health-care professionals getting to 'know' the person is key. Stakeholder responses highlighted the need for development of Health-care professionals' confidence, skills and training, Using stories based on the study findings was seen as an effective way to support this. A number of behavioural change techniques were also identified. Limitations It was attempted to include a broad ethnic diversity in the sample, but the authors acknowledge that not all groups could be included. Conclusions What constitutes good end-of-life care is influenced by the intersectionality of diverse factors, including beliefs and culture. All people desire personalised, compassionate and holistic end-of-life care, and the current frameworks for good palliative care support this. However, health-care professionals need additional skills to navigate complex, sensitive communication and enquire about aspects of people's lives that may be unfamiliar. The challenge for health-care professionals and services is the delivery of holistic care and the range of skills that are required to do this. Future work Priorities for future research: How can health professionals identify if/when a patient is 'ready' for discussions about deterioration and dying? How can discussions about uncertain recovery and the need for decisions about treatment, especially resuscitation, be most effectively conducted in a crisis? How can professionals recognise and respond to the diversity of faith and cultural practices, and the heterogeneity between individuals of beliefs and preferences relating to the end of life? How can conversations be most effectively conducted when translation is required to enhance patient understanding? Funding This project was funded by the National Institute for Health and Care Research (NIHR) Health and Social Care Delivery Research programme and will be published in full in Health and Social Care Delivery Research; Vol. 11, No. X. See the NIHR Journals Library website for further project information.
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Affiliation(s)
- Zoebia Islam
- Leicestershire and Rutland Organisation for the Relief of Suffering (LOROS) Hospice, Leicester, UK
| | - Kristian Pollock
- School of Health Sciences, University of Nottingham, Nottingham, UK
| | - Anne Patterson
- Leicestershire and Rutland Organisation for the Relief of Suffering (LOROS) Hospice, Leicester, UK
| | - Matilda Hanjari
- Leicestershire and Rutland Organisation for the Relief of Suffering (LOROS) Hospice, Leicester, UK
| | - Louise Wallace
- Faculty of Wellbeing, Education and Language Studies, The Open University, Milton Keynes, UK
| | - Irfhan Mururajani
- Leicestershire and Rutland Organisation for the Relief of Suffering (LOROS) Hospice, Leicester, UK
| | - Simon Conroy
- Department of Health Sciences, University of Leicester, Leicester, UK
| | - Christina Faull
- Leicestershire and Rutland Organisation for the Relief of Suffering (LOROS) Hospice, Leicester, UK
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Kawashima A, Evans CJ. Needs-based triggers for timely referral to palliative care for older adults severely affected by noncancer conditions: a systematic review and narrative synthesis. BMC Palliat Care 2023; 22:20. [PMID: 36890522 PMCID: PMC9996955 DOI: 10.1186/s12904-023-01131-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 02/01/2023] [Indexed: 03/10/2023] Open
Abstract
BACKGROUND Older people with noncancer conditions are less likely to be referred to palliative care services due to the inherent uncertain disease trajectory and a lack of standardised referral criteria. For older adults with noncancer conditions where prognostic estimation is unpredictable, needs-based criteria are likely more suitable. Eligibility criteria for participation in clinical trials on palliative care could inform a needs-based criteria. This review aimed to identify and synthesise eligibility criteria for trials in palliative care to construct a needs-based set of triggers for timely referral to palliative care for older adults severely affected by noncancer conditions. METHODS A systematic narrative review of published trials of palliative care service level interventions for older adults with noncancer conditions. Electronic databases Medline, Embase, CINAHL, PsycINFO, CENTRAL, and ClinicalTrials.gov. were searched from inception to June 2022. We included all types of randomised controlled trials. We selected trials that reported eligibility criteria for palliative care involvement for older adults with noncancer conditions, where > 50% of the population was aged ≥ 65 years. The methodological quality of the included studies was assessed using a revised Cochrane risk-of-bias tool for randomized trials. Descriptive analysis and narrative synthesis provided descriptions of the patterns and appraised the applicability of included trial eligibility criteria to identify patients likely to benefit from receiving palliative care. RESULTS 27 randomised controlled trials met eligibility out of 9,584 papers. We identified six major domains of trial eligibility criteria in three categories, needs-based, time-based and medical history-based criteria. Needs-based criteria were composed of symptoms, functional status, and quality of life criteria. The major trial eligibility criteria were diagnostic criteria (n = 26, 96%), followed by medical history-based criteria (n = 15, 56%), and physical and psychological symptom criteria (n = 14, 52%). CONCLUSION For older adults severely affected by noncancer conditions, decisions about providing palliative care should be based on the present needs related to symptoms, functional status, and quality of life. Further research is needed to examine how the needs-based triggers can be operationalized as referral criteria in clinical settings and develop international consensus on referral criteria for older adults with noncancer conditions.
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Affiliation(s)
- Arisa Kawashima
- Department of Nursing for Advanced Practice, Division of Integrated Health Sciences, Nagoya University Graduate School of Medicine, Nagoya, Japan.,King's College London, Cicely Saunders Institute of Palliative Care, Policy and Rehabilitation, Faculty of Nursing, Midwifery and Palliative Care, London, UK
| | - Catherine J Evans
- King's College London, Cicely Saunders Institute of Palliative Care, Policy and Rehabilitation, Faculty of Nursing, Midwifery and Palliative Care, London, UK. .,Sussex Community NHS Foundation Trust, Brighton, UK.
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Ahmad SR, Tarabochia AD, Budahn L, LeMahieu AM, Karnatovskaia LV, Turnbull AE, Gajic O. Determining Goal Concordant Care in the Intensive Care Unit Using Electronic Health Records. J Pain Symptom Manage 2023; 65:e199-e205. [PMID: 36400406 PMCID: PMC10557174 DOI: 10.1016/j.jpainsymman.2022.11.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 11/03/2022] [Accepted: 11/07/2022] [Indexed: 11/19/2022]
Abstract
BACKGROUND Goal concordant care (GCC) is the alignment of care to patient values and preferences. GCC is a major outcome of communication with patients and families in serious/critical illness. Using the electronic health record (EHR) to study the provision of GCC would be pragmatic and cost-effective for research and quality improvement efforts. RESEARCH QUESTION Do EHRs contain information to identify GCC? METHODS This is a feasibility retrospective chart review performed by two independent reviewers. An existing framework containing four questions for identifying GCC was adopted. Two clinicians reviewed multi-disciplinary notes and extracted pertinent information. The primary outcomes were whether the four key questions for determining goal concordance could be answered using information in the EHR. The secondary outcome was the type of goals identified. Cohen's kappa was used to measure agreement between two reviewers. RESULTS Patient care was considered goal concordant in 35 (85%) of 41 patients in a random sample comprising of 36 survivors and five who died in hospital. Inter-rater agreement on identifying data to determine GCC was excellent (Kappa 0.70). Patient goals were identified in 80% of charts reviewed. Note sources informative of patient preferences, included social work (39%), hospital progress notes (29%), palliative care (20%), and physical/occupational therapy (15%). "Returning home" and "getting better/ stronger" were among the most common patient goals captured in EHR. CONCLUSION The EHR can be used to understand patient goals, but the information is scattered across the multi-disciplinary notes. Improving EHR and external validation will facilitate ascertainment of goal concordance as an important outcome measure.
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Affiliation(s)
- Sumera R Ahmad
- Division of Pulmonary and Critical Care Medicine (S.R.A., L.k., O.G.), Mayo Clinic, Rochester, Minnesota.
| | - Alex D Tarabochia
- Department of Internal Medicine (A.D.T.), Mayo Clinic, Rochester, Minnesota
| | - LuAnn Budahn
- Anesthesia and Critical Care Research Unit (L.B.), Mayo Clinic, Rochester, Minnesota
| | - Allison M LeMahieu
- Department of Quantitative Health Sciences (A.M.L.), Mayo Clinic, Rochester, Minnesota
| | - Lioudmila V Karnatovskaia
- Division of Pulmonary and Critical Care Medicine (S.R.A., L.k., O.G.), Mayo Clinic, Rochester, Minnesota
| | - Alison E Turnbull
- Division of Pulmonary and Critical Care Medicine, School of Medicine (A.E.T.), Johns Hopkins University, Baltimore, Maryland; Department of Epidemiology, Bloomberg School of Public Health (A.E.T.), Johns Hopkins University, Baltimore, Maryland; Outcomes After Critical Illness and Surgery Research group (A.E.T.), Johns Hopkins University, Baltimore, Maryland
| | - Ognjen Gajic
- Division of Pulmonary and Critical Care Medicine (S.R.A., L.k., O.G.), Mayo Clinic, Rochester, Minnesota
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Cox CE, Olsen MK, Parish A, Gu J, Ashana DC, Pratt EH, Haines K, Ma J, Casarett DJ, Al-Hegelan MS, Naglee C, Katz JN, O'Keefe YA, Harrison RW, Riley IL, Bermejo S, Dempsey K, Wolery S, Jaggers J, Johnson KS, Docherty SL. Palliative care phenotypes among critically ill patients and family members: intensive care unit prospective cohort study. BMJ Support Palliat Care 2022; 14:bmjspcare-2022-003622. [PMID: 36167642 PMCID: PMC10085460 DOI: 10.1136/spcare-2022-003622] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Accepted: 09/16/2022] [Indexed: 01/19/2023]
Abstract
OBJECTIVE Because the heterogeneity of patients in intensive care units (ICUs) and family members represents a challenge to palliative care delivery, we aimed to determine if distinct phenotypes of palliative care needs exist. METHODS Prospective cohort study conducted among family members of adult patients undergoing mechanical ventilation in six medical and surgical ICUs. The primary outcome was palliative care need measured by the Needs at the End-of-Life Screening Tool (NEST, range from 0 (no need) to 130 (highest need)) completed 3 days after ICU admission. We also assessed quality of communication, clinician-family relationship and patient centredness of care. Latent class analysis of the NEST's 13 items was used to identify groups with similar patterns of serious palliative care needs. RESULTS Among 257 family members, latent class analysis yielded a four-class model including complex communication needs (n=26, 10%; median NEST score 68.0), family spiritual and cultural needs (n=21, 8%; 40.0) and patient and family stress needs (n=43, 31%; 31.0), as well as a fourth group with fewer serious needs (n=167, 65%; 14.0). Interclass differences existed in quality of communication (median range 4.0-10.0, p<0.001), favourable clinician-family relationship (range 34.6%-98.2%, p<0.001) and both the patient centredness of care Eliciting Concerns (median range 4.0-5.0, p<0.001) and Decision-Making (median range 2.3-4.5, p<0.001) scales. CONCLUSIONS Four novel phenotypes of palliative care need were identified among ICU family members with distinct differences in the severity of needs and perceived quality of the clinician-family interaction. Knowledge of need class may help to inform the development of more person-centred models of ICU-based palliative care.
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Affiliation(s)
- Christopher E Cox
- Pulmonary and Critical Care Medicine, Duke University, Durham, North Carolina, USA
- Program to Support People and Enhance Recovery (ProSPER), Duke University, Durham, NC, USA
| | - Maren K Olsen
- Durham Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Health Care System, Durham, NC, USA
- Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA
| | - Alice Parish
- Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA
| | - Jessie Gu
- Pulmonary and Critical Care Medicine, Duke University, Durham, North Carolina, USA
| | - Deepshikha Charan Ashana
- Pulmonary and Critical Care Medicine, Duke University, Durham, North Carolina, USA
- Program to Support People and Enhance Recovery (ProSPER), Duke University, Durham, NC, USA
| | - Elias H Pratt
- Pulmonary and Critical Care Medicine, Duke University, Durham, North Carolina, USA
| | - Krista Haines
- Department of Surgery, Division of Trauma and Critical Care and Acute Care Surgery, Duke University, Durham, NC, USA
| | - Jessica Ma
- Section of Palliative Care and Hospice Medicine, Duke University, Durham, NC, USA
| | - David J Casarett
- Section of Palliative Care and Hospice Medicine, Duke University, Durham, NC, USA
| | - Mashael S Al-Hegelan
- Pulmonary and Critical Care Medicine, Duke University, Durham, North Carolina, USA
| | - Colleen Naglee
- Department of Anesthesiology, Duke University, Durham, North Carolina, USA
- Department of Neurology, Division of Neurocritical Care, Durham, North Carolina, USA
| | - Jason N Katz
- Department of Medicine, Division of Cardiology, Duke University, Durham, NC, USA
| | - Yasmin Ali O'Keefe
- Department of Neurology, Division of Neurocritical Care, Durham, North Carolina, USA
| | - Robert W Harrison
- Department of Medicine, Division of Cardiology, Duke University, Durham, NC, USA
| | - Isaretta L Riley
- Pulmonary and Critical Care Medicine, Duke University, Durham, North Carolina, USA
| | - Santos Bermejo
- Pulmonary and Critical Care Medicine, Duke University, Durham, North Carolina, USA
- Program to Support People and Enhance Recovery (ProSPER), Duke University, Durham, NC, USA
| | - Katelyn Dempsey
- Pulmonary and Critical Care Medicine, Duke University, Durham, North Carolina, USA
- Program to Support People and Enhance Recovery (ProSPER), Duke University, Durham, NC, USA
| | - Shayna Wolery
- Pulmonary and Critical Care Medicine, Duke University, Durham, North Carolina, USA
- Program to Support People and Enhance Recovery (ProSPER), Duke University, Durham, NC, USA
| | - Jennie Jaggers
- Pulmonary and Critical Care Medicine, Duke University, Durham, North Carolina, USA
- Program to Support People and Enhance Recovery (ProSPER), Duke University, Durham, NC, USA
| | - Kimberly S Johnson
- Division of Geriatrics, Center for Study of Aging and Human Development, Duke University, Durham, NC, USA
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