An Individualized, Interactive Intervention Promotes Terminally Ill Cancer Patients' Prognostic Awareness and Reduces Cardiopulmonary Resuscitation Received in the Last Month of Life: Secondary Analysis of a Randomized Clinical Trial

What outcomes do studies use to measure the impact of prognostication on people with advanced cancer? Findings from a systematic review of quantitative and qualitative studies

BACKGROUND

Studies evaluating the impact of prognostication in advanced cancer patients vary in the outcomes they measure, and there is a lack of consensus about which outcomes are most important.

AIM

To identify outcomes previously reported in prognostic research with people with advanced cancer, as a first step towards constructing a core outcome set for prognostic impact studies.

DESIGN

A systematic review was conducted and analysed in two subsets: one qualitative and one quantitative. (PROSPERO ID: CRD42022320117; 29/03/2022).

DATA SOURCES

Six databases were searched from inception to September 2022. We extracted data describing (1) outcomes used to measure the impact of prognostication and (2) patients' and informal caregivers' experiences and perceptions of prognostication in advanced cancer. We classified findings using the Core Outcome Measures in Effectiveness Trials (COMET) initiative taxonomy, along with a narrative description. We appraised retrieved studies for quality, but quality was not a basis for exclusion.

RESULTS

We identified 42 eligible studies: 32 quantitative, 6 qualitative, 4 mixed methods. We extracted 70 outcomes of prognostication in advanced cancer and organised them into 12 domains: (1) survival; (2) psychiatric outcomes; (3) general outcomes; (4) spiritual/religious/existential functioning/wellbeing, (5) emotional functioning/wellbeing; (6) cognitive functioning; (7) social functioning; (8) global quality of life; (9) delivery of care; (10) perceived health status; (11) personal circumstances; and (12) hospital/hospice use.

CONCLUSION

Outcome reporting and measurement varied markedly across the studies. A standardised approach to outcome reporting in studies of prognosis is necessary to enhance data synthesis, improve clinical practice and better align with stakeholders' priorities.

Don't Throw the Baby Out With the Bathwater: Meta-Analysis of Advance Care Planning and End-of-life Cancer Care

CONTEXT

There is ongoing discourse about the impact of advance care planning (ACP) on end-of-life (EOL) care. No meta-analysis exists to clarify ACP's impact on patients with cancer.

OBJECTIVE

To investigate the association between, and moderators of, ACP and aggressive vs. comfort-focused EOL care outcomes among patients with cancer.

METHODS

Five databases were searched for peer-reviewed observational/experimental ACP-specific studies that were published between 1990-2022 that focused on samples of patients with cancer. Odds ratios were pooled to estimate overall effects using inverse variance weighting.

RESULTS

Of 8,673 articles, 21 met criteria, representing 33,541 participants and 68 effect sizes (54 aggressive, 14 comfort-focused). ACP was associated with significantly lower odds of chemotherapy, intensive care, hospital admissions, hospice use fewer than seven days, hospital death, and aggressive care composite measures. ACP was associated with 1.51 times greater odds of do-not-resuscitate orders. Other outcomes-cardiopulmonary resuscitation, emergency department admissions, mechanical ventilation, and hospice use-were not impacted. Tests of moderation revealed that the communication components of ACP produced greater reductions in the odds of hospital admissions compared to other components of ACP (e.g., documents); and, observational studies, not experimental, produced greater odds of hospice use.

CONCLUSION

This meta-analysis demonstrated mixed evidence of the association between ACP and EOL cancer care, where tests of moderation suggested that the communication components of ACP carry more weight in influencing outcomes. Further disease-specific efforts to clarify models and components of ACP that work and matter to patients and caregivers will advance the field.

Associations of prognostic-awareness-transition patterns with emotional distress and quality of life during terminally ill cancer patients' last 6 months of life

OBJECTIVE

Unprecedently investigate associations of prognostic-awareness-transition patterns with (changes in) depressive symptoms, anxiety symptoms, and quality of life (QOL) during cancer patients' last 6 months.

METHODS

In this secondary analysis study, 334 cancer patients in their last 6 months transitioned between four prognostic-awareness states (unknown and not wanting to know, unknown but wanting to know, inaccurate awareness, and accurate awareness), thus constituting three transition patterns: maintaining-accurate-, gaining-accurate-, and maintaining-inaccurate/unknown prognostic awareness. A multivariate hierarchical linear model evaluated associations of the transition patterns with depressive symptoms, anxiety symptoms, and QOL determined at final assessment and by mean difference between the first and last assessment.

RESULTS

At the last assessment before death, the gaining-accurate-prognostic-awareness group reported higher levels of depressive symptoms (estimate [95% confidence interval] = 1.59 [0.35-2.84]) and the maintaining- and gaining-accurate-prognostic-awareness groups suffered more anxiety symptoms (1.50 [0.44-2.56]; 1.42 [0.13-2.71], respectively) and poorer QOL (-7.07 [-12.61 to 1.54]; -11.06 [-17.76 to -4.35], respectively) than the maintaining-inaccurate/unknown-prognostic-awareness group. Between the first and last assessment, the maintaining- and gaining-accurate-prognostic-awareness groups' depressive symptoms (1.59 [0.33-2.85]; 3.30 [1.78-4.82], respectively) and QOL (-5.04 [-9.89 to -0.19]; -8.86 [-14.74 to -2.98], respectively) worsened more than the maintaining-inaccurate/unknown-prognostic-awareness group, and the gaining-accurate-prognostic-awareness group's depressive symptoms increased more than the maintaining-accurate-prognostic-awareness group (1.71 [0.42-3.00]).

CONCLUSIONS

Unexpectedly, patients who maintained/gained accurate prognostic awareness suffered more depression, anxiety, and poorer QOL at end of life. Promoting accurate prognostic awareness earlier in the terminal-cancer trajectory should be supplemented with adequate psychological care to alleviate patients' emotional distress and enhance QOL.

TRIAL REGISTRATION

ClinicalTrials.gov:NCT01912846.

Interventions for interpersonal communication about end of life care between health practitioners and affected people

BACKGROUND

Communication about end of life (EoL) and EoL care is critically important for providing quality care as people approach death. Such communication is often complex and involves many people (patients, family members, carers, health professionals). How best to communicate with people in the period approaching death is not known, but is an important question for quality of care at EoL worldwide. This review fills a gap in the evidence on interpersonal communication (between people and health professionals) in the last year of life, focusing on interventions to improve interpersonal communication and patient, family member and carer outcomes.

OBJECTIVES

To assess the effects of interventions designed to improve verbal interpersonal communication about EoL care between health practitioners and people affected by EoL.

SEARCH METHODS

We searched CENTRAL, MEDLINE, Embase, PsycINFO, and CINAHL from inception to July 2018, without language or date restrictions. We contacted authors of included studies and experts and searched reference lists to identify relevant papers. We searched grey literature sources, conference proceedings, and clinical trials registries in September 2019. Database searches were re-run in June 2021 and potentially relevant studies listed as awaiting classification or ongoing.

SELECTION CRITERIA

This review assessed the effects of interventions, evaluated in randomised and quasi-randomised trials, intended to enhance interpersonal communication about EoL care between patients expected to die within 12 months, their family members and carers, and health practitioners involved in their care. Patients of any age from birth, in any setting or care context (e.g. acute catastrophic injury, chronic illness), and all health professionals involved in their care were eligible. All communication interventions were eligible, as long as they included interpersonal interaction(s) between patients and family members or carers and health professionals. Interventions could be simple or complex, with one or more communication aims (e.g. to inform, skill, engage, support). Effects were sought on outcomes for patients, family and carers, health professionals and health systems, including adverse (unintended) effects. To ensure this review's focus was maintained on interpersonal communication in the last 12 months of life,  we excluded studies that addressed specific decisions, shared or otherwise, and the tools involved in such decision-making. We also excluded studies focused on advance care planning (ACP) reporting ACP uptake or completion as the primary outcome. Finally, we excluded studies of communication skills training for health professionals unless patient outcomes were reported as primary outcomes.

DATA COLLECTION AND ANALYSIS

Standard Cochrane methods were used, including dual review author study selection, data extraction and quality assessment of the included studies.

MAIN RESULTS

Eight trials were included. All assessed intervention effects compared with usual care. Certainty of the evidence was low or very low. All outcomes were downgraded for indirectness based on the review's purpose, and many were downgraded for imprecision and/or inconsistency. Certainty was not commonly downgraded for methodological limitations. A summary of the review's findings is as follows. Knowledge and understanding (four studies, low-certainty evidence; one study without usable data): interventions to improve communication (e.g. question prompt list, with or without patient and physician training) may have little or no effect on knowledge of illness and prognosis, or information needs and preferences, although studies were small and measures used varied across trials.  Evaluation of the communication (six studies measuring several constructs (communication quality, patient-centredness, involvement preferences, doctor-patient relationship, satisfaction with consultation), most low-certainty evidence): across constructs there may be minimal or no effects of interventions to improve EoL communication, and there is uncertainty about effects of interventions such as a patient-specific feedback sheet on quality of communication.  Discussions of EoL or EoL care (six studies measuring selected outcomes, low- or very low-certainty evidence): a family conference intervention may increase duration of EoL discussions in an intensive care unit (ICU) setting, while use of a structured serious illness conversation guide may lead to earlier discussions of EoL and EoL care (each assessed by one study). We are uncertain about effects on occurrence of discussions and question asking in consultations, and there may be little or no effect on content of communication in consultations.  Adverse outcomes or unintended effects (limited evidence): there is insufficient evidence to determine whether there are adverse outcomes associated with communication interventions  (e.g. question prompt list, family conference, structured discussions) for EoL and EoL care. Patient and/or carer anxiety was reported by three studies, but judged as confounded. No other unintended consequences, or worsening of desired outcomes, were reported. Patient/carer quality of life (four studies, low-certainty evidence; two without useable data): interventions to improve communication may have little or no effect on quality of life.  Health practitioner outcomes (three studies, low-certainty evidence; two without usable data): interventions to improve communication may have little or no effect on health practitioner outcomes (satisfaction with communication during consultation; one study); effects on other outcomes (knowledge, preparedness to communicate) are unknown. Health systems impacts: communication interventions (e.g. structured EoL conversations) may have little or no effect on carer or clinician ratings of quality of EoL care (satisfaction with care, symptom management, comfort assessment, quality of care) (three studies, low-certainty evidence), or on patients' self-rated care and illness, or numbers of care goals met (one study, low-certainty evidence). Communication interventions (e.g. question prompt list alone or with nurse-led communication skills training) may slightly increase mean consultation length (two studies), but other health service impacts (e.g. hospital admissions) are unclear.

AUTHORS' CONCLUSIONS

Findings of this review are inconclusive for practice. Future research might contribute meaningfully by seeking to fill gaps for populations not yet studied in trials; and to develop responsive outcome measures with which to better assess the effects of communication on the range of people involved in EoL communication episodes. Mixed methods and/or qualitative research may contribute usefully to better understand the complex interplay between different parties involved in communication, and to inform development of more effective interventions and appropriate outcome measures. Co-design of such interventions and outcomes, involving the full range of people affected by EoL communication and care, should be a key underpinning principle for future research in this area.

What is the evidence for efficacy of advance care planning in improving patient outcomes? A systematic review of randomised controlled trials

Objectives

To conduct an up-to-date systematic review of all randomised controlled trials assessing efficacy of advance care planning (ACP) in improving patient outcomes, healthcare use/costs and documentation.

Design

Narrative synthesis conducted for randomised controlled trials. We searched electronic databases (MEDLINE/PubMed, Embase and Cochrane databases) for English-language randomised or cluster randomised controlled trials on 11 May 2020 and updated it on 12 May 2021 using the same search strategy. Two reviewers independently extracted data and assessed methodological quality. Disagreements were resolved by consensus or a third reviewer.

Results

We reviewed 132 eligible trials published between 1992 and May 2021; 64% were high-quality. We categorised study outcomes as patient (distal and proximal), healthcare use and process outcomes. There was mixed evidence that ACP interventions improved distal patient outcomes including end-of-life care consistent with preferences (25%; 3/12 with improvement), quality of life (0/14 studies), mental health (21%; 4/19) and home deaths (25%; 1/4), or that it reduced healthcare use/costs (18%; 4/22 studies). However, we found more consistent evidence that ACP interventions improve proximal patient outcomes including quality of patient–physician communication (68%; 13/19), preference for comfort care (70%; 16/23), decisional conflict (64%; 9/14) and patient-caregiver congruence in preference (82%; 18/22) and that it improved ACP documentation (a process outcome; 63%; 34/54).

Conclusion

This review provides the most comprehensive evidence to date regarding the efficacy of ACP on key patient outcomes and healthcare use/costs. Findings suggest a need to rethink the main purpose and outcomes of ACP.

PROSPERO registration number

CRD42020184080.

Associations of prognostic-awareness-transition patterns with end-of-life care in cancer patients' last month

PURPOSE

Cancer patients heterogeneously develop prognostic awareness, and end-of-life cancer care has become increasingly aggressive to the detriment of patients and healthcare sustainability. We aimed to explore the never-before-examined associations of prognostic-awareness-transition patterns with end-of-life care.

METHODS

Prognostic awareness was categorized into four states: (1) unknown and not wanting to know; (2) unknown but wanting to know; (3) inaccurate awareness; and (4) accurate awareness. We examined associations of our previously identified three prognostic-awareness-transition patterns during 334 cancer patients' last 6 months (maintaining accurate prognostic awareness, gaining accurate prognostic awareness, and maintaining inaccurate/unknown prognostic awareness) and end-of-life care (cardiopulmonary resuscitation, intensive care unit care, mechanical ventilation, chemotherapy/immunotherapy, and hospice care) in cancer patients' last month by multivariate logistic regressions.

RESULTS

Cancer patients in the maintaining-accurate-prognostic-awareness and gaining-accurate-prognostic-awareness groups had significantly lower odds of cardiopulmonary resuscitation (adjusted odds ratio [95% confidence interval]: 0.22 [0.06-0.78]; and 0.10 [0.01-0.97], respectively) but higher odds of hospice care (3.44 [1.64-7.24]; and 3.28 [1.32-8.13], respectively) in the last month than those in the maintaining inaccurate/unknown prognostic awareness. The maintaining-accurate-prognostic-awareness group had marginally lower odds of chemotherapy or immunotherapy received than the gaining-accurate-prognostic-awareness group (0.58 [0.31-1.10], p = .096]). No differences in intensive care unit care and mechanical ventilation among cancer patients in different prognostic-awareness-transition patterns were observed.

CONCLUSION

End-of-life care received in cancer patients' last month was associated with the three distinct prognostic-awareness-transition patterns. Cancer patients' accurate prognostic awareness should be facilitated earlier to reduce their risk of receiving aggressive end-of-life care, especially for avoiding chemotherapy/immunotherapy close to death.

TRIAL REGISTRATION

ClinicalTrials.gov:NCT01912846.

Interventions to Improve Prognostic Understanding in Advanced Stages of Life-Limiting Illness: A Systematic Review

CONTEXT

Among patients with advanced life-limiting illness, an inaccurate understanding of prognosis is common and associated with negative outcomes. Recent years have seen an emergence of new interventions tested for their potential to improve prognostic understanding. However, this literature has yet to be synthesized.

OBJECTIVES

To identify and characterize tested interventions, summarize intervention findings, and outline directions for future research.

METHODS

Systematic searches were conducted in five databases - PubMed/MEDLINE (NLM), EMBASE (Elsevier), CINAHL (EBSCO), PsycINFO (OVID), and Cochrane Central Register of Controlled Trials (Wiley) - to identify interventions evaluated within a randomized controlled design for their impact on prognostic understanding.

RESULTS

Of the 2354 initial articles, 12 were selected for final inclusion, representing nine unique interventions. Intervention types included decision aids accompanying medical consults, palliative care consultations, communication training for patients and physicians, and targeted discussions regarding prognosis and treatment decision making. Common components of interventions included provision of prognostic information, assistance with end-of-life care planning, and provision of decisional and emotional support during discussions. Most interventions were associated with some indication of improvement in prognostic understanding. However, even after intervention, inaccurate prognostic understanding was common, with 31-95 percent of patients in intervention groups exhibiting inaccurate perceptions of their prognosis.

CONCLUSION

Prognostic understanding interventions hold the potential to improve patient understanding and thus informed decision making, but limitations exist. Future research should examine why many patients receiving intervention may continue to maintain inaccurate perceptions, and identify which intervention components can best enhance informed, value-consistent decision making.

Factors associated with distinct prognostic-awareness-transition patterns over cancer patients' last 6 months of life

Background

Cancer patients may develop prognostic awareness (PA) heterogeneously, but predictors of PA‐transition patterns have never been studied. We aimed to identify transition patterns of PA and their associated factors during cancer patients’ last 6 months.

Methods

For this secondary‐analysis study, PA was assessed among 334 cancer patients when they were first diagnosed as terminally ill and monthly till they died. PA was categorized into four states: (a) unknown and not wanting to know; (b) unknown but wanting to know; (c) inaccurate awareness; and (d) accurate awareness. The first and last PA states estimated by hidden Markov modeling were examined to identify their change patterns. Factors associated with distinct PA‐transition patterns were determined by multinomial logistic regressions focused on modifiable time‐varying variables assessed in the wave before the last PA assessment to ensure a clear time sequence for associating with PA‐transition patterns.

Results

Four PA‐transition patterns were identified: maintaining accurate PA (56.3%), gaining accurate PA (20.4%), heterogeneous PA (7.8%), and still avoiding PA (15.6%). Reported physician‐prognostic disclosure increased the likelihood of belonging to the maintaining‐accurate‐PA group than to other groups. Greater symptom distress predisposed patients to be in the still‐avoiding‐PA than the heterogeneous PA group. Patients with higher functional dependence and more anxiety/depressive symptoms were more and less likely to be in the heterogeneous PA group and in the still‐avoiding‐PA group, respectively, than in the maintaining‐ and gaining‐accurate PA groups.

Conclusions

Cancer patients heterogeneously experienced PA‐transition patterns over their last 6 months. Physicians’ prognostic disclosure, and patients’ symptom distress, functional dependence, and anxiety/depressive symptoms, all modifiable by high‐quality end‐of‐life care, were associated with distinct PA‐transition patterns.

Patients with cancer may not develop accurate prognostic awareness (PA) at the same rate or to the same degree and factors associated with PA‐transition patterns are unknown. Here, we identified PA‐transition patterns and their associated factors during the last six months of life for patients with advanced cancer and found that they developed PA in different ways. Four PA‐transition patterns were identified: maintaining accurate PA, gaining accurate PA, heterogeneous PA, and still avoiding PA. Prognostic disclosure by physicians, patient symptom distress, functional dependence, and anxiety/depression symptoms are major factors associated with PA‐transition patterns and can be acted on during high‐quality end‐of‐life care.

Critically ill cancer patient's resuscitation: a Belgian/French societies' consensus conference

To respond to the legitimate questions raised by the application of invasive methods of monitoring and life-support techniques in cancer patients admitted in the ICU, the European Lung Cancer Working Party and the Groupe de Recherche Respiratoire en Réanimation Onco-Hématologique, set up a consensus conference. The methodology involved a systematic literature review, experts' opinion and a final consensus conference about nine predefined questions1. Which triage criteria, in terms of complications and considering the underlying neoplastic disease and possible therapeutic limitations, should be used to guide admission of cancer patient to intensive care units?2. Which ventilatory support [High Flow Oxygenation, Non-invasive Ventilation (NIV), Invasive Mechanical Ventilation (IMV), Extra-Corporeal Membrane Oxygenation (ECMO)] should be used, for which complications and in which environment?3. Which support should be used for extra-renal purification, in which conditions and environment?4. Which haemodynamic support should be used, for which complications, and in which environment?5. Which benefit of cardiopulmonary resuscitation in cancer patients and for which complications?6. Which intensive monitoring in the context of oncologic treatment (surgery, anti-cancer treatment …)?7. What specific considerations should be taken into account in the intensive care unit?8. Based on which criteria, in terms of benefit and complications and taking into account the neoplastic disease, patients hospitalized in an intensive care unit (or equivalent) should receive cellular elements derived from the blood (red blood cells, white blood cells and platelets)?9. Which training is required for critical care doctors in charge of cancer patients?

Prognostic Awareness in Advanced Disease: A Review Update and Concept Analysis

Purpose

Although subjective knowledge about the prognosis of an advanced disease is extremely important for coping and treatment planning, the concept of prognostic awareness (PA) remains inconsistently defined. The aims of the scoping review were to synthesize a definition of PA from the most recent literature, describe preconditions, correlates and consequences, and suggest a conceptual model.

Methods

By using scoping review methodology, we searched the Web of Science and PubMed databases, and included publications, reviews, meta-analyses or guidelines on all physical diagnoses, as well as publications offering a conceptual or an operational definition of PA. The data were analyzed by means of content analysis techniques.

Results

Of the 24 included publications, 21 referred exclusively to cancer, one to patients with hip fractures and two to palliative care in general. The deduced definition of PA comprised the following facets: adequate estimation of chances for recovery, knowledge of limited time to live, adequate estimation of life expectancy, knowledge of therapy goals, and knowledge of the course of the disease. Further content analysis results were mapped graphically and in a detailed table.

Conclusion

There appears to be a lack of theoretical embedding of PA that in turn influences the methods used for empirical investigation. Drawing on a clear conceptual definition, longitudinal or experimental studies would be desirable.

Evaluating if an Advance Care Planning Intervention Promotes Do-Not-Resuscitate Orders by Facilitating Accurate Prognostic Awareness

BACKGROUND

Issuing do-not-resuscitate (DNR) orders has seldom been an outcome in randomized clinical trials of advance care planning (ACP) interventions. The aim of this study was to examine whether an ACP intervention facilitating accurate prognostic awareness (PA) for patients with advanced cancer was associated with earlier use of DNR orders.

PATIENTS AND METHODS

Participants (n=460) were randomly assigned 1:1 to the experimental and control arms, with 392 deceased participants constituting the final sample of this secondary analysis study. Participants in the intervention and control arms had each received an intervention tailored to their readiness for ACP/prognostic information and symptom-management education, respectively. Effectiveness in promoting a DNR order by facilitating accurate PA was determined by intention-to-treat analysis using multivariate logistic regression with hierarchical linear modeling.

RESULTS

At enrollment in the ACP intervention and before death, 9 (4.6%) and 8 (4.1%) participants and 168 (85.7%) and 164 (83.7%) participants in the experimental and control arms, respectively, had issued a DNR order, without significant between-arm differences. However, participants in the experimental arm with accurate PA were significantly more likely than participants in the control arm without accurate PA to have issued a DNR order before death (adjusted odds ratio, 2.264; 95% CI, 1.036-4.951; P=.041). Specifically, participants in the experimental arm who first reported accurate PA 31 to 90 days before death were significantly more likely than their counterparts in the control arm who reported accurate PA to have issued a DNR order in the next wave of assessment (adjusted odds ratio, 13.365; 95% CI, 1.989-89.786; P=.008). Both arms issued DNR orders close to death (median, 5-6 days before death).

CONCLUSIONS

Our ACP intervention did not promote the overall presence of a DNR order. However, our intervention facilitated the issuance of NDR orders before death among patients with accurate PA, especially those who reported accurate PA 31 to 90 days before death, but it did not facilitate the issuance of DNR orders earlier than their counterparts in the control arm.ClinicalTrial.gov Identification: NCT01912846.

Understanding Hospice Patients' Beliefs About Their Life Expectancy: A Qualitative Interview Study

BACKGROUND

Patients with advanced disease often overestimate their life expectancy, which potentially impacts decision making.

OBJECTIVE

To examine the nature and source of hospice patients' life expectancy estimates, about which little is known.

DESIGN

Using semi-structured interviews, patients were asked to estimate their life expectancy and elaborate on their response.

SETTING/SUBJECTS

Participants were hospice patients (n = 20, 55% male; 60% cancer).

MEASUREMENT

We conducted thematic analysis using open and focused coding.

RESULTS

Many participants had difficulty answering the life expectancy question and expressed uncertainty about when they would die. One-third overestimated their length of life relative to actual survival. The most common source of patients' prognostic beliefs was knowledge about their body, including physical symptoms and change over time. Half of patients reported that a provider had given them a prognostic estimate, and one-third agreed with, or gave estimates consistent with, the provider's estimate. Some patients said providers do not know prognosis or that time of death was unknowable.

CONCLUSIONS

Key findings were that 1) many hospice patients had difficulty estimating life expectancy, and 2) hospice patients' life expectancy estimates were frequently based on their body and not on information from medical providers. These findings have implications for measuring prognostic awareness, as valid assessment is a necessary component of determining whether prognostic awareness is beneficial for patients. Future research should examine how life expectancy estimates are associated with well-being and whether results extend to larger samples of patients with advanced disease not in hospice.

The Susceptibles, Chancers, Pragmatists, and Fair Players: An Examination of the Sport Drug Control Model for Adolescent Athletes, Cluster Effects, and Norm Values Among Adolescent Athletes

Although there are few high-profile cases of adolescent athletes being caught doping, up to a third of young athletes may dope. In order to generate a more accurate understanding of why adolescent athletes dope, it is important to validate models that help to explain this behavior. The aims of this study were 3-fold: firstly, to test the Sport Drug Control Model for Adolescent Athletes (SDCM-AA); secondly, to generate athlete profiles that would help quantify the proportion of athletes who are at risk of doping; and thirdly, to create norm values for the Adolescent Sport Doping Inventory (ASDI), which would allow national doping organizations, sporting organizations, and clubs to benchmark the scores of their athletes for key psycho-social variables linked to doping. A total of 2208 adolescent athletes from the United Kingdom, Australia, Hong Kong, and the United States completed the ASDI. The data presented an appropriate fit to the SDCM-AA model, in which 54% of the variance in susceptibility to doping was explained in the model, and 44.8% of attitudes toward doping was accounted for. Four distinct clusters of athletes emerged: the Susceptibles (i.e., identified with the benefits of doping, were willing to cheat, and viewed little threat), the Chancers (i.e., identified with the benefits of doping, scored high on willingness to cheat, and were highly influenced by their reference group, but had an average score for threat, self-esteem, and legitimacy), the Pragmatists (i.e., did not engage with any aspects of doping, but were more susceptible than the fair players), and Fair Players (i.e., high levels of sportspersonship, unwilling to cheat, and viewed doping as a threat). The revised SDCM-AA appears a valid model that helps explain the factors associated with doping attitudes and doping susceptibility. Adolescent athletes can be classified into one of four clusters, in relation to doping. Their cluster group could influence the content of the anti-doping education they receive.

An Individualized, Interactive, and Advance Care Planning Intervention Promotes Transitions in Prognostic Awareness States Among Terminally Ill Cancer Patients in Their Last Six Months-A Secondary Analysis of a Randomized Controlled Trial

CONTEXT/OBJECTIVES

To examine whether an advance care planning intervention randomized controlled trial facilitates terminally ill cancer patients' transitions to accurate prognostic awareness (PA) and the time spent in the accurate PA state in patients' last six months.

METHODS

Participants (N = 460) were randomized 1:1 to experimental (interactive intervention tailored to participants' readiness for advance care planning/prognostic information) and control (symptom management education) arms with similar formats. PA was categorized into four states: 1) unknown and not wanting to know; 2) unknown but wanting to know; 3) inaccurate awareness; and 4) accurate awareness. Intervention effectiveness in the two outcomes was evaluated by intention-to-treat analysis with multistate Markov modeling (effect size ≥0.2 as minimal clinically important difference).

RESULTS

The final sample constituted 188 and 184 experimental arm and control arm participants who died and were repeatedly assessed, respectively. Experimental arm participants in States 1-3 had a higher probability of shifting to accurate PA (23.0%-35.4% vs. 15.2%-26.2%) than control arm participants, and all effect sizes met the minimal clinically important difference criterion (effect sizes 0.22-0.49). In their last six months, experimental arm participants spent more time in States 3 and 4 (0.18 vs. 0.08 and 2.94 vs. 2.38 months, respectively) but less time in States 1 and 2 (2.70 vs. 3.19 and 0.18 vs. 0.36 months, respectively) (effect sizes 0.11-0.19).

CONCLUSION

Our intervention meaningfully facilitated participants' transition toward accurate PA and more time spent in the accurate PA state (State 4). Our intervention can help health care professionals foster cancer patients' accurate PA earlier in the terminal illness trajectory to make informed end-of-life care decisions tailored to their readiness for prognostic information.

Extent and Determinants of Terminally Ill Cancer Patients' Concordance Between Preferred and Received Life-Sustaining Treatment States: An Advance Care Planning Randomized Trial in Taiwan

CONTEXT

Promoting patient value-concordant end-of-life care is a priority in health care systems but has rarely been examined in randomized clinical trials.

OBJECTIVES

To examine the effectiveness of an advance care planning intervention in facilitating concordance between cancer patients' preferred and received life-sustaining treatment (LST) states and to explore modifiable factors facilitating or impeding such concordance.

METHODS

Terminal cancer patients (N = 460) were randomly assigned 1:1 to the experimental and control arms of a randomized clinical trial, with 430 deceased participants comprising the final sample. States of preferred LSTs (cardiopulmonary resuscitation, intensive care unit care, chest compression, intubation with mechanical ventilation, intravenous nutrition, and nasogastric tube feeding) and LSTs received in the last month were examined by hidden Markov modeling. Concordance and its modifiable predictors were evaluated by kappa and multivariate logistic regression, respectively.

RESULTS

We identified three LST-preference states (uniformly preferring LSTs, rejecting LSTs except intravenous nutrition support, and mixed LST preferences) and three received LST states (uniformly receiving LSTs, received intravenous nutrition only, and selectively receiving LSTs). Concordance was not significantly higher in the experimental than the control arm (kappa [95% CI]: 0.126 [0.032, 0.221] vs. 0.050 [-0.028, 0.128]; arm difference: odds ratio [95% CI]: 1.008 [0.675, 1.5001]). Preferred-received LST-state concordance was facilitated by accurate prognostic awareness, better quality of life, and more depressive symptoms, whereas concordance was impeded by more anxiety symptoms.

CONCLUSIONS

Our advance care planning intervention did not facilitate concordance between terminally ill cancer patients' preferred and received LST states, but patient value-concordant end-of-life care may be facilitated by interventions to cultivate accurate prognostic awareness, improve quality of life, support depressive patients, and clarify anxious patients' overexpectations of LST efficacy.