Literature DB >> 28237955

Advance care planning uptake among patients with severe lung disease: a randomised patient preference trial of a nurse-led, facilitated advance care planning intervention.

Craig Sinclair1, Kirsten Anne Auret1, Sharon Frances Evans2, Fiona Williamson1, Siobhan Dormer3, Anne Wilkinson4, Kim Greeve5, Audrey Koay5, Dot Price6, Fraser Brims3.   

Abstract

OBJECTIVE: Advance care planning (ACP) clarifies goals for future care if a patient becomes unable to communicate their own preferences. However, ACP uptake is low, with discussions often occurring late. This study assessed whether a systematic nurse-led ACP intervention increases ACP in patients with advanced respiratory disease.
DESIGN: A multicentre open-label randomised controlled trial with preference arm.
SETTING: Metropolitan teaching hospital and a rural healthcare network. PARTICIPANTS: 149 participants with respiratory malignancy, chronic obstructive pulmonary disease or interstitial lung disease. INTERVENTION: Nurse facilitators offered facilitated ACP discussions, prompted further discussions with doctors and loved ones, and assisted participants to appoint a substitute medical decision-maker (SDM) and complete an advance directive (AD). OUTCOME MEASURES: The primary measure was formal (AD or SDM) or informal (discussion with doctor) ACP uptake assessed by self-report (6 months) and medical notes audit. Secondary measures were the factors predicting baseline readiness to undertake ACP, and factors predicting postintervention ACP uptake in the intervention arm.
RESULTS: At 6 months, formal ACP uptake was significantly higher (p<0.001) in the intervention arm (54/106, 51%), compared with usual care (6/43, 14%). ACP discussions with doctors were also significantly higher (p<0.005) in the intervention arm (76/106, 72%) compared with usual care (20/43, 47%). Those with a strong preference for the intervention were more likely to complete formal ACP documents than those randomly allocated. Increased symptom burden and preference for the intervention predicted later ACP uptake. Social support was positively associated with ACP discussion with loved ones, but negatively associated with discussion with doctors.
CONCLUSIONS: Nurse-led facilitated ACP is acceptable to patients with advanced respiratory disease and effective in increasing ACP discussions and completion of formal documents. Awareness of symptom burden, readiness to engage in ACP and relevant psychosocial factors may facilitate effective tailoring of ACP interventions and achieve greater uptake. TRIAL REGISTRATION NUMBER: ACTRN12614000255684. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.

Entities:  

Keywords:  Advance care planning; advance directive; medical decision-making; randomised controlled trial; readiness; respiratory disease

Mesh:

Year:  2017        PMID: 28237955      PMCID: PMC5337715          DOI: 10.1136/bmjopen-2016-013415

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


This randomised controlled trial includes a patient preference arm, to more closely match the real-world clinical environment. Longitudinal follow-up enables assessment of multiple aspects of advance care planning uptake among a specific patient cohort at high risk of mortality. A higher than expected number of patients who strongly preferred to receive the intervention means the study arms are unbalanced. Patient attrition across the follow-up period and self-selection associated with the use of a preference arm complicate the interpretation of study data. A detailed description of characteristics associated with the facilitated advance care planning intervention provides implications for practitioners.

Background

Advance care planning (ACP) is an ongoing process of discussion between patients, family, carers and health professionals aimed at clarifying goals for future care and facilitating decision-making in situations when a patient is unable to make decisions or communicate their own preferences.1 While ACP has traditionally been understood and measured in terms of the completion of a formal advance directive (AD) to specify preferences for medical treatments or nomination of a substitute healthcare decision-maker (SDM), there is growing awareness that such approaches do not capture the full breadth of the planning and discussion involved.2 3 Recent systematic reviews have supported the efficacy of ACP interventions,4 5 particularly those including facilitated communication approaches in addition to written directives.4 ACP is associated with positive outcomes in end-of-life care including reduced psychological morbidity among bereaved family members, lower likelihood of dying in hospital and higher likelihood of planned hospice admission.3 6 Patients with severe respiratory disease, such as lung cancer or chronic obstructive pulmonary disease (COPD), have been identified as a group for whom ACP is particularly relevant,7–9 as they experience heavy symptom burden with a marked impact on quality of life and care needs.10 11 Prognosis among these patients can be poor; the 1-year mortality rate in metastatic non-small cell lung cancer is over 70%12 and is over 20% among patients hospitalised for acute exacerbation of COPD.13 While malignant respiratory disease has a somewhat predictable illness trajectory, COPD is characterised by significant fluctuation, in which periods of stability or gradual decline are interspersed with acute exacerbations, any of which may be fatal.11 A study of patients with advanced lung cancer and end-stage COPD showed that while both groups expressed strong preferences for comfort-focused care, those with COPD were significantly more likely to receive invasive therapies.14 Despite this identification of potential benefit, ACP rates remain low among patients with severe respiratory disease.15 16 Patient-related barriers include a lack of information about their condition,17 18 a belief that clinicians will initiate ACP discussion ‘when the time is right’,19 and in some cases, a preference to avoid discussion about ACP and end-of-life care.8 20 Patients with COPD in particular are often unclear about their prognosis, unaware of their likely illness trajectory and not informed about the types of healthcare decisions they may face in the future.15 17 18 Doctors also report a range of barriers to ACP discussion including lack of time,21 concern about upsetting patients22 and prognostic uncertainty.23 Previous research has established the relevance and effectiveness of nurses in ACP facilitation, in community and hospital settings.6 24 Uptake of ACP can be usefully conceptualised as a process, with modified stage-based models of health behaviour change which describe patient ‘readiness’ (ie, precontemplation, contemplation, preparation, action/maintenance) to engage in the various aspects of ACP including discussions with loved ones, discussions with doctors and completion of formal documents.25 26 Validated interview and survey tools enable nuanced longitudinal measurement of psychological stages of ‘readiness’ over time, as opposed to measures focusing solely on ‘completion’.2 27 28 This construct of ‘readiness’ to undertake ACP has been shown to be associated with illness-related experiences,8 29 experiences with end-of-life care among others,29 30 social support6 24 and proactive intervention by clinicians.26 The primary research question addressed in this paper is whether a systematic nurse-led, facilitated ACP intervention is effective in increasing ACP readiness and uptake among patients with advanced respiratory disease. The secondary aims are to (1) identify patient factors associated with ACP readiness at baseline, and (2) identify patient and contextual factors associated with ACP uptake among those who were assigned to receive the facilitated ACP intervention.

Methods

Study design

This study was a multicentre open-label randomised controlled trial of nurse-led facilitated ACP with a preference arm31 and a 2:1 randomisation protocol in favour of the intervention. The preference arm enabled participants with strong preferences (to either receive or avoid the intervention) to be assigned to their preferred group.

Study setting

The study was implemented in a metropolitan and a rural setting in Western Australia (WA). The metropolitan setting was a tertiary hospital respiratory department. The rural setting, ∼400 km away, consisted of general practice (GP) clinics, residential aged care facilities (RACF) and the local regional hospital in a town of ∼30 000 people.

Participant eligibility criteria

Patients were eligible for the study if they were diagnosed with a chronic, severe respiratory disease (lung cancer, mesothelioma, malignant pleural effusion, COPD or interstitial lung disease); fulfilled one or more of the general or disease-specific criteria predicting ‘high risk’ of death, based on the Gold Standards Framework32 (table 1); were receiving treatment in one of the study settings; and were over 18 years of age. Patients were excluded if they lacked capacity to consent; did not speak English; had previously completed a formal AD (but not excluding those who had previously nominated an SDM); were on an ‘end-of-life’ pathway or otherwise expected to die in the next 48 hours.
Table 1

High-risk criteria for patient inclusion. Eligible patients were diagnosed with an eligible respiratory disease, and met one or more of any of the general indicators or disease-specific triggers, or a ‘no’ in answer to the ‘surprise question’

General indicators:

WHO/ECOG performance status of 3 or greater33

Unstable and/or deteriorating symptom burden

Decreasing response to treatments

Weight loss >10% in past 6 months

Serum albumin <25 g/L

Repeated unplanned hospital admission(s) for a respiratory symptom

Disease-specific triggers
COPD:

Severe disease on spirometry (FEV1 <25% predicted)

Recurrent hospital admissions (3 or more in a 12-month period)

Fulfils LTOT criteria

MRC grade shortness of breath 4–5

Right heart failure

6 weeks or more of systemic steroids in past 6 months

Respiratory failure within the past 12 months requiring intensive care unit admission or non-invasive ventilation

Malignant respiratory disease:

Any metastatic disease (advanced lung cancer; advanced mesothelioma, any proven malignant pleural effusion)

Declining performance status with severe respiratory disease of any cause (ie, ECOG 3 or greater in BOTH of two assessments, conducted more than 48 hours apart)

Idiopathic pulmonary fibrosis:

Decline of >10% FVC in 6 months

 
The surprise question:
Ask the primary treating doctor responsible for the patient's care: ‘Would you be surprised if the patient were to die in the next few months, weeks or days?’34

COPD, chronic obstructive pulmonary disease; ECOG, Eastern Cooperative Oncology Group; FEV1, forced expiratory volume in 1 s; FVC, forced vital capacity; LTOT, long-term oxygen therapy; MRC, Medical Research Council.

High-risk criteria for patient inclusion. Eligible patients were diagnosed with an eligible respiratory disease, and met one or more of any of the general indicators or disease-specific triggers, or a ‘no’ in answer to the ‘surprise question’ WHO/ECOG performance status of 3 or greater33 Unstable and/or deteriorating symptom burden Decreasing response to treatments Weight loss >10% in past 6 months Serum albumin <25 g/L Repeated unplanned hospital admission(s) for a respiratory symptom Severe disease on spirometry (FEV1 <25% predicted) Recurrent hospital admissions (3 or more in a 12-month period) Fulfils LTOT criteria MRC grade shortness of breath 4–5 Right heart failure 6 weeks or more of systemic steroids in past 6 months Respiratory failure within the past 12 months requiring intensive care unit admission or non-invasive ventilation Any metastatic disease (advanced lung cancer; advanced mesothelioma, any proven malignant pleural effusion) Declining performance status with severe respiratory disease of any cause (ie, ECOG 3 or greater in BOTH of two assessments, conducted more than 48 hours apart) Decline of >10% FVC in 6 months COPD, chronic obstructive pulmonary disease; ECOG, Eastern Cooperative Oncology Group; FEV1, forced expiratory volume in 1 s; FVC, forced vital capacity; LTOT, long-term oxygen therapy; MRC, Medical Research Council.

Recruitment and randomisation

In the metropolitan setting, potential participants were identified through department database searches, clinic letter reviews and direct referrals by ward staff. In the rural setting, potential participants were identified through GP database searches, direct referrals from participating GP clinics, regular meetings with RACF coordinators and attendance at clinical meetings in the regional hospital. The nurse ACP facilitator confirmed the eligibility of each patient with their primary treating doctor, and sought the doctor's permission prior to approaching them and explaining the study. During the recruitment process, potential participants were informed that as part of participation they may be invited to discuss the type of medical care they would want if they were unable to make decisions and/or communicate their wishes, including discussion about life-sustaining treatments and end-of-life care. Those who consented to the study and expressed a strong preference to receive, or avoid, the facilitated ACP intervention were assigned to their preferred intervention or usual care (control) arm, respectively (called ‘Pref-ACP’ and ‘Pref-CON’). Patients willing to be randomised were allocated (called ‘Rand-ACP’ and ‘Rand-CON’) following consent (see figure 1). SFE generated the random allocation sequence in permuted blocks (N=21 per block), and filled opaque, sealed envelopes with allocation slips. The nurse facilitators asked each patient to select an envelope; both the nurse and patient were blinded to the contents of the envelope prior to allocation. The allocation protocol initially employed a 2:1 randomisation schedule. Following planned preliminary analysis and observation of a higher than expected number of patients expressing a strong preference for the intervention, this was revised to a 1:1 schedule (ethics committee approval 12/2/2015), and recruitment was ended on 16/9/2015 due to reporting deadlines.
Figure 1

Schematic diagram of participants approached, consented and recruited to trial. ACP, advance care planning; LCP, Liverpool Care Pathway.

Schematic diagram of participants approached, consented and recruited to trial. ACP, advance care planning; LCP, Liverpool Care Pathway. A target sample size of n=150 in each study setting was based on a power calculation of 0.80, assuming a log-normal distribution, and a 75% ratio of geometric mean levels of ACP uptake between the usual care and intervention arms.

Intervention: nurse-led facilitated ACP

The intervention provided nurse-led support to the participant, their family and their doctors to facilitate engagement in ACP. A nurse facilitator was employed in each setting to coordinate recruitment, deliver the intervention and collect surveys. Both were senior nurses with extensive experience in communication with severely ill patients. Intervention fidelity was maintained across the study settings by research team participation in a full-day workshop delivered by an external consultant (using evidence-based resources adapted with permission from Respecting Patient Choices), a detailed study protocol and regular meetings between the nurse facilitators and the broader research team. Participants assigned to the intervention were offered an appointment with the nurse facilitator to discuss their illness and prognosis, reflect on goals and values for future medical care, talk about these with loved ones and doctors, appoint an SDM, and/or formally document future treatment preferences in an AD. In the metropolitan setting, the intervention typically occurred in an outpatient clinic, and in the rural setting this occurred in a GP room or in the participant's home. Follow-up meetings with the nurse facilitator were scheduled opportunistically, or by participant request. The date, length (minutes), location, people present and domains covered in each ACP discussion were recorded on a checklist. Any formal ACP documentation completed as part of the intervention was distributed to the participant, their family carer/s, regular GP and medical records department of the relevant hospital.

Measures

Participant age, gender, country of birth, religion and highest level of education attained were recorded at baseline. Each participant's primary respiratory diagnosis, secondary respiratory diagnoses (where applicable), Medical Research Council (MRC) breathlessness scale grading and eligibility for long-term oxygen therapy (LTOT) were obtained from medical notes during screening for eligibility.35

Primary outcome: ACP uptake

Two approaches were taken to measuring ACP uptake. First, participant interviews, administered at baseline, 3 and 6 months postconsent, employed a validated survey tool to assess stage of readiness to engage in relevant aspects of ACP: (1) completion of a written AD, (2) documentation of an SDM, (3) discussion about life-sustaining treatments with loved ones and (4) discussion about life-sustaining treatments with doctors.27 Second, at 12 months after consent, time of death or study end point (whichever occurred first), participants' medical notes were audited from the time of consent to assess the presence of ‘formal’ or ‘informal’ documentation of patient preferences regarding future medical care. Inclusion of the notes audit meant that ACP uptake could be assessed for patients who had died or were lost to follow-up prior to the 6-month follow-up surveys. Medical notes audit was undertaken by the nurse facilitators using a structured audit tool.36 The sections of the notes containing evidence of ACP uptake were scanned and de-identified, to allow inspection by the analysts in the research team (CS and SFE), who ensured that documentation met the definition of ACP uptake. For the primary outcome, ‘formal ACP uptake’ was defined as self-reported completion of a written AD (in WA, this means an ‘Advance Health Directive’37 or a ‘My Advance Care Plan’ form38), or written nomination of an SDM (an ‘Enduring Power of Guardianship’39) at 6-month follow-up. For those who died or were lost to follow-up prior to the 6-month survey, the self-report data were supplemented by medical notes audit. ‘Informal ACP uptake’ was defined as self-reported completion of at least one discussion about life-sustaining treatments with doctors at 6-month follow-up, or documentation of ACP conversations found at notes audit.

Secondary measures

Participant self-reported health-related quality of life (HRQOL), satisfaction with healthcare and social support was measured at baseline. The EuroQol 5 Dimensions 5 Level Survey (EQ-5D-5L) scores HRQOL on five dimensions (mobility, ability to self-care, ability to undertake usual activities, pain and anxiety/depression) and a global HRQOL visual analogue scale (VAS) scored continuously from 1 to 100. Index values for the EQ-5D-5L were calculated with algorithms derived from the ‘cross-walk’ mapping to existing EQ-5D-3L data sets, using UK population data (in the absence of Australian validation data).40 Satisfaction with healthcare was assessed using the Patient Satisfaction Index (PSI), a validated 23-item instrument, summated to give a global score reflecting satisfaction with level of healthcare received, involvement in healthcare decision-making and interactions with healthcare professionals over the previous 3 months.41 Social support was measured by summating the seven-item ENRICHD tool, which assesses instrumental and emotional aspects of support, rather than the size of the social network.42 Owing to the small amount of missing data (0.7% for ENRICHD, 1.7% for PSI) and unidimensional scale characteristics, missing data points were imputed from each participant's mean score.43

Data analysis

Variables collected at baseline were assessed for matching across trial arms, with χ2 tests for categorical variables and one-way analysis of variance for continuous variables. The primary outcome was assessed by Fisher's exact test and relative risk estimation of ACP uptake with assignment (facilitated ACP vs usual care), preference (strong preference for ACP vs ambivalent) and time (baseline vs 6-month follow-up). Secondary exploratory analyses determined the factors predicting ‘baseline ACP readiness’ among all patients, and ‘postintervention formal ACP uptake’ and ‘postintervention informal ACP uptake’, among patients assigned to receive the facilitated ACP intervention. Significant predictors were assessed with separate multivariate logistic regression models, using type III sums of squares estimation, with forced entry and stepwise, backwards elimination of non-significant variables (p>0.2). Initial models included demographic variables (gender, age, country of birth, level of education), baseline survey scores (EQ-5D-5L index scores and global VAS, satisfaction with healthcare, social support) and clinical variables (malignant disease, COPD, MRC breathlessness scale and LTOT eligibility). In addition, analysis of ‘postintervention formal ACP uptake’ and ‘postintervention informal ACP uptake’ included baseline ACP readiness, assigned group, hospital admission during the follow-up period, number of ACP discussions undertaken with the nurse facilitator and presence of a family member or carer in an ACP discussion as potential predictors. The study was registered with the Australia and New Zealand Clinical Trials Registry (ACTRN12614000255684, Registration date: 10/3/2014).

Results

Over a 15-month period, 266 patients were screened as being potentially eligible across both sites, of whom 215 were confirmed eligible and invited to participate. Of these participants, 150 consented, with one withdrawing before assignment. Eighty-two patients had a strong preference for a particular study arm (ACP or usual care) while 67 were ambivalent and hence randomly allocated to either the intervention or usual care (see figure 1). Owing to the lower than expected recruitment rates, data were combined across sites to maintain adequate study power. Demographics and clinical profile at baseline are presented in table 2. The sample was predominantly male (94/149, 63%), with a moderate-to-low educational status. COPD was the most common respiratory diagnosis (95/149, 64%) and 54 (36%) participants were deceased at 12-month follow-up. Baseline rates of ACP discussion with loved ones or doctors did not vary significantly across the different diagnosis groups.
Table 2

Participant characteristics by assigned group (percentages expressed by column)

 Intervention
Usual care
Preference
Pref-ACPRand-ACPRand-CONPref-CONPrefNo Pref
(N=61)(N=45)(N=22)(N=21)(N=82)(N=67)
Recruitment site
 N (%) metropolitan hospital35 (57%)13 (29%)5 (23%)14 (67%)49 (60%)18 (27%)
 N (%) rural site26 (43%)32 (71%)17 (77%)7 (33%)33 (40%)49 (73%)
Demographics
 Age (median, IQR)73 (13)70 (12.5)77.5 (8.2)80 (15.5)74 (14)71 (12)
 N (%) female26 (43%)13 (29%)6 (27%)10 (48%)36 (44%)19 (28%)
 N (%) married or de facto28 (46%)33 (73%)16 (73%)16 (76%)44 (54%)49 (73%)
 N (%) born in Australia34 (56%)25 (56%)17 (77%)12 (57%)46 (56%)42 (63%)
 N (%) observe religion26 (43%)19 (42%)11 (50%)11 (52%)37 (45%)30 (45%)
 N (%) Christian23 (88%)16 (84%)8 (73%)11 (100%)34 (41%)24 (36%)
 N (%) other religion3 (12%)3 (16%)3 (27%)3 (4%)6 (9%)
Education level (completed)
 N (%) not completed secondary34 (56%)37 (82%)14 (64%)8 (38%)42 (51%)51 (76%)
 N (%) completed secondary27 (44%)8 (18%)8 (36%)13 (62%)40 (49%)16 (24%)
Primary respiratory diagnosis
 N (%) malignant disease*17 (28%)13 (29%)8 (36%)3 (14%)20 (24%)21 (31%)
 N (%) COPD40 (66%)28 (62%)12 (54%)15 (71%)55 (67%)40 (60%)
 N (%) interstitial fibrosis4 (7%)3 (7%)1 (4%)3 (14%)7 (8%)4 (6%)
 N (%) other respiratory1 (2%)1 (4%)2 (3%)
Baseline clinical severity
 Eligible for LTOT26 (43%)11 (24%)5 (23%)10 (48%)36 (44%)16 (24%)
 MRC dyspnoea (grade 4–5)33 (54%)19 (42%)11 (50%)11 (52%)44 (54%)30 (45%)
Baseline survey measures
 Social support (mean, SD)27.9 (5.8)28 (6.2)28.4 (6.8)27.9 (6.9)27.9 (6.0)28.3 (6.3)
 Care satisfaction (mean, SD)117 (26.9)114 (31.5)116 (29.2)128 (39.8)120 (30.9)115 (30.6)
Health-related quality of life
 N (%) mobility symptoms†44 (72%)26 (58%)13 (59%)12 (57%)56 (68%)39 (58%)
 N (%) personal care symptoms†34 (56%)13 (29%)3 (14%)5 (24%)39 (48%)16 (24%)
 N (%) usual activity symptoms†48 (79%)32 (71%)14 (64%)14 (67%)62 (76%)46 (69%)
 N (%) pain and discomfort†36 (59%)20 (44%)12 (54%)8 (38%)44 (54%)32 (48%)
 N (%) anxiety and depression†29 (48%)10 (22%)7 (32%)7 (33%)36 (44%)17 (25%)
 EQ-5D-5L index (mean, SD)0.43 (0.21)0.55 (0.24)0.54 (0.24)0.56 (0.24)0.46 (0.22)0.54 (0.22)
 EQ-5D-5L global VAS (mean, SD)57.9 (21.5)64.0 (16.0)63.4 (20.0)58.3 (17.9)58.0 (20.5)63.8 (17.3)

*Malignant disease includes lung cancer, malignant pleural effusion and mesothelioma.

†Symptoms signal patient self-report of moderate or worse symptoms.

ACP, advance care planning; COPD, chronic obstructive pulmonary disease; EQ-5D-5L, EuroQol 5 Dimensions 5 Level Survey; LTOT, long-term oxygen therapy; MRC, Medical Research Council; VAS, visual analogue scale.

Participant characteristics by assigned group (percentages expressed by column) *Malignant disease includes lung cancer, malignant pleural effusion and mesothelioma. †Symptoms signal patient self-report of moderate or worse symptoms. ACP, advance care planning; COPD, chronic obstructive pulmonary disease; EQ-5D-5L, EuroQol 5 Dimensions 5 Level Survey; LTOT, long-term oxygen therapy; MRC, Medical Research Council; VAS, visual analogue scale. Among those who were randomly allocated, there were no significant differences in primary respiratory diagnoses or measures of disease severity, and most measures of baseline ACP readiness showed no significant differences across study arms. The exception was that those in the Rand-CON group reported higher baseline rates of discussion with their doctor about life-sustaining treatments (9/22, 41%) compared with those in the Rand-ACP group (8/45, 18%, p<0.05). Compared with those in the Rand-ACP group, participants in the Pref-ACP group had a lower HRQOL index (0.43 vs 0.55, p<0.05), lower rates of living with a married or de facto partner (28/61, 46% in Pref-ACP vs 33/45, 73% in Rand-ACP, p<0.01), higher rates of completing secondary school (27/61, 44% in Pref-ACP vs 8/45, 18% in Rand-ACP, p<0.01), greater numbers reporting limitations in their ability to self-care (34/61, 56% in Pref-ACP vs 13/45, 29% in Rand-ACP, p<0.01), higher rates of anxiety or depression (29/61, 48% in Pref-ACP vs 10/45, 22% in Rand-ACP, p<0.01) and were more likely to be recruited in the metropolitan setting (35/61, 57% in Pref-ACP vs 13/45, 29% in Rand-ACP, p<0.01).

Facilitated ACP intervention

The characteristics of the facilitated ACP intervention for the 106 participants assigned to the intervention are presented in table 3. In the metropolitan setting, 31 (64%) participants had at least one discussion with the nurse facilitator; these were predominantly in outpatient clinics (94%) and lasted an average of 55 min (SD=25.0). In the rural setting, 58 (100%) participants had at least one discussion with the nurse facilitator; these were typically home visits (60%) and lasted an average of 25 min (SD=16.6), with a higher percentage of rural participants (69% vs 4%, p<0.001) participating in two or more discussions.
Table 3

Descriptive characteristics of the facilitated ACP intervention

 Metropolitan site
Rural site
N=48 participants
N=58 participants
N=32 discussions
N=109 discussions
Timing of first ACP discussion (% of participants)
 N (%) <14 days postconsent22 (46%)58 (100%)
 N (%) 14–60 days postconsent7 (15%)
 N (%) >60 days postconsent2 (4%)
Number of nurse-led ACP discussions (% of participants)
 N (%) no discussions17 (35%)
 N (%) one discussion29 (60%)18 (31%)
 N (%) two discussions2 (4%)29 (50%)
 N (%) three or more discussions11 (19%)
People involved in ACP discussion (% of participants)
 N (%) with family/carer present once or more20 (42%)21 (36%)
Duration of ACP discussions (% of discussions)
 N (%) <45 min7 (22%)87 (80%)
 N (%) 45–90 min22 (69%)22 (20%)
 N (%) >90 min2 (6%)
Location of ACP discussion (% of discussions)
 N (%) discussions inpatient setting2 (6%)8 (7%)
 N (%) discussions outpatient setting30 (94%)1 (1%)
 N (%) discussions general practice clinic12 (11%)
 N (%) discussions home visit65 (60%)
 N (%) discussions telephone call23 (21%)
ACP domains discussed (% of discussions)PartlyPartly or fullyPartlyPartly or fully
N (%) understanding current health state32 (100%)31 (97%)109 (100%)84 (77%)
N (%) understanding prognosis32 (100%)17 (53%)103 (95%)56 (51%)
N (%) perspective on ‘living well’32 (100%)28 (88%)109 (100%)109 (100%)
N (%) understanding future treatments32 (100%)31 (97%)105 (96%)64 (59%)
N (%) values and goals of care32 (100%)29 (91%)108 (99%)102 (94%)
N (%) wishes for critical care32 (100%)32 (100%)103 (94%)64 (59%)
N (%) wishes for “trial of treatment”30 (94%)25 (78%)79 (72%)44 (40%)
N (%) cultural, spiritual, religious beliefs31 (97%)21 (66%)56 (51%)21 (19%)

Proportions are calculated ‘by participant’ (number of participants as a proportion of the 106 participants assigned to receive the facilitated ACP intervention) or ‘by discussion’ (number of discussions as a proportion of the 141 ACP discussions conducted by the nurse ACP facilitators).

The discussions undertaken by the nurse ACP facilitators as part of the intervention are separate from the outcome measures of ACP discussions with loved ones and doctors.

ACP, advance care planning.

Descriptive characteristics of the facilitated ACP intervention Proportions are calculated ‘by participant’ (number of participants as a proportion of the 106 participants assigned to receive the facilitated ACP intervention) or ‘by discussion’ (number of discussions as a proportion of the 141 ACP discussions conducted by the nurse ACP facilitators). The discussions undertaken by the nurse ACP facilitators as part of the intervention are separate from the outcome measures of ACP discussions with loved ones and doctors. ACP, advance care planning.

ACP readiness and uptake

The number of participants with formal or informal ACP uptake at baseline and follow-up is presented in table 4. The number of participants who had contemplated or completed different aspects of ACP at baseline and follow-up (3 and 6 months) is presented in online supplementary appendix 1.
Table 4

Proportion of participants with formal (completion of formal AD or formal nomination of SDM) or informal ACP uptake (discussion with doctor about wishes relating to life-sustaining treatment) at baseline and 6-month follow-up (self-report supplemented by medical notes audit for participants lost to follow-up)

Type of ACP uptake (by condition)BaselineFollow-up
N (%)N (%)p Value
Pref-ACP (N=61)
 Formal ACP uptake1/61 (2%)42/61 (69%)<0.001
 Informal ACP uptake25/61 (41%)50/61 (82%)<0.001
Rand-ACP (N=45)
 Formal ACP uptake0/45 (0%)12/45 (27%)<0.001
 Informal ACP uptake8/45 (26%)26/45 (58%)<0.001
Rand-CON (N=22)
 Formal ACP uptake0/22 (0%)4/22 (18%)0.04
 Informal ACP uptake9/22 (41%)14/22 (64%)0.13
Pref-CON (N=21)
 Formal ACP uptake1/21 (5%)2/21 (10%)0.55
 Informal ACP uptake3/21 (14%)6/21 (29%)0.26

ACP, advance care planning; AD, advance directive; SDM, substitute medical decision-maker.

Proportion of participants with formal (completion of formal AD or formal nomination of SDM) or informal ACP uptake (discussion with doctor about wishes relating to life-sustaining treatment) at baseline and 6-month follow-up (self-report supplemented by medical notes audit for participants lost to follow-up) ACP, advance care planning; AD, advance directive; SDM, substitute medical decision-maker. For the primary outcome, formal ACP uptake over time (baseline vs 6-month follow-up) found significant effects of assignment and preference. There was an increased likelihood of having ACP uptake at 6-month follow-up (relative risk (RR) 3.65, 95% CI 1.70 to 7.85) among those assigned to receive the intervention (54/106, 50.9%), compared with those assigned to usual care (6/43, 14.0%). There was also increased ACP uptake at 6-month follow-up (RR 2.58, 95% CI 1.55 to 4.31) among those with a strong preference for the intervention (42/61, 68.9%) compared with those allocated randomly to receive the intervention (12/45, 26.7%). These results were confirmed with logistic regression analysis allowing an interaction between preference and assignment. Among those assigned to ACP intervention, those with a strong preference (Pref-ACP) had an OR of 6.1 (95% CI 2.6 to 14.3) of ACP uptake, compared with those allocated randomly (Rand-ACP). There was no difference between those allocated randomly to ACP and those assigned to usual care (OR 1.6, 95% CI 0.5 to 5.8). Informal ACP uptake was significantly higher at 6-month follow-up (76/106, 71.7%) compared with baseline (33/106, 31.1%, p<0.001) for those assigned to the intervention, while those assigned to usual care did not show a significant difference in uptake over time (12/43, 27.9% vs 20/43, 46.5%, NS). Among participants assigned to receive the ACP intervention (Pref-ACP or Rand-ACP) with baseline and 3-month follow-up data available (N=82), completion of ACP discussions about life-sustaining treatments with loved ones increased from baseline to 3-month follow-up (62% vs 77%, p<0.05). Among participants assigned to usual care (Pref-CON or Rand-CON) with baseline and 3-month follow-up data available (N=26), ACP discussions with loved ones showed a trend towards increase over time (50% vs 73%, p=0.06). As shown in figure 2, the rate of self-reported AD completion at 6-month follow-up was higher in the Pref-ACP group (21/32, 66%) compared with the Rand-ACP group (7/33, 21%; RR 3.09, 95% CI 1.53 to 6.25, p<0.001) or compared with those assigned to either usual care group (1/24, 4%, p<0.001).
Figure 2

Self-reported ‘readiness’ to complete an advance directive among participants assigned to different study groups over time. The sample is limited to participants (N=89) who responded to baseline, 3-month and 6-month follow-up surveys.

Self-reported ‘readiness’ to complete an advance directive among participants assigned to different study groups over time. The sample is limited to participants (N=89) who responded to baseline, 3-month and 6-month follow-up surveys.

Factors associated with ACP uptake

Factors associated with completion of different aspects of ACP are presented in table 5. Baseline ACP discussion with loved ones was associated with higher social support (OR=1.1, 95% CI 1.04 to 1.65), while baseline ACP discussion with doctors was associated with lower HRQOL (OR=0.14, 95% CI 0.03 to 0.64).
Table 5

Final regression models showing factors associated with completion of ACP discussions with loved ones and doctors at baseline, and factors associated with completion of ACP discussion with doctors, or formal ACP documents (formal ACP) at follow-up among those assigned to the intervention

ACP domainOR95% CI
Baseline completion of ACP discussion with loved ones (all participants)
 Social support (ENRICHD scale)1.101.04 to 1.65
 Education level (completed secondary school)1.840.89 to 3.82
Baseline completion of ACP discussion with doctors (all participants)
 Health related quality of life (EQ-5D-5L index score)0.140.03 to 0.64
 COPD diagnosis1.940.86 to 4.36
 Gender (female vs male)1.830.87 to 3.85
Postintervention informal ACP uptake (of those assigned to ACP intervention)
 (Baseline) social support (ENRICHD scale)0.850.75 to 0.96
 Participation in ≥2 facilitated ACP discussions (vs none)5.181.07 to 25.1
 Family/carer involved in a facilitated ACP discussion (vs not)4.341.21 to 15.5
 (Baseline) MRC shortness of breath grade 4–5 (vs not)4.251.42 to 12.7
 Preferential assignment to ACP intervention (vs random)3.321.18 to 9.33
Postintervention formal ACP uptake (of those assigned to ACP intervention)
 Participation in ≥2 facilitated ACP discussions (vs none)7.021.73 to 35.1
 Participation in one facilitated ACP discussion (vs none)4.531.12 to 18.3
 Preferential assignment to ACP intervention (vs random)5.812.29 to 14.7
 (Baseline) eligibility for LTOT (vs ineligible)3.291.22 to 8.88

Follow-up completion rates are calculated by supplementing self-report survey measures with follow-up medical notes audit, to include ACP undertaken by patients who were deceased or otherwise lost to survey follow-up.

ACP, advance care planning; COPD, chronic obstructive pulmonary disease; EQ-5D-5L, EuroQol 5 Dimensions 5 Level Survey; MRC, Medical Research Council.

Final regression models showing factors associated with completion of ACP discussions with loved ones and doctors at baseline, and factors associated with completion of ACP discussion with doctors, or formal ACP documents (formal ACP) at follow-up among those assigned to the intervention Follow-up completion rates are calculated by supplementing self-report survey measures with follow-up medical notes audit, to include ACP undertaken by patients who were deceased or otherwise lost to survey follow-up. ACP, advance care planning; COPD, chronic obstructive pulmonary disease; EQ-5D-5L, EuroQol 5 Dimensions 5 Level Survey; MRC, Medical Research Council. Among those assigned to the intervention arm (ie, Pref-ACP or Rand-ACP), the factors associated with formal ACP uptake postintervention were the number of facilitated ACP discussions with the nurse facilitator, preference for the ACP intervention and baseline eligibility for LTOT. For the same group of participants, factors associated with informal ACP uptake postintervention included participation in two or more discussions with the nurse facilitator, preference for the ACP intervention, more severe shortness of breath, lower social support and presence of a family member or carer at one or more of the facilitated ACP discussions.

Discussion

This study assessed the effectiveness of systematic identification of patients with advanced respiratory disease using a tool modified from the Gold Standard Framework to identify those at high risk of death within 12 months,32 and proactive intervention through nurse-led ACP discussions. The intervention was effective in increasing formal and informal ACP uptake, particularly among those with a pre-existing preference to receive the intervention. The inclusion of a preference arm most likely increased participation and retention rates, and more closely reflects real-world situations, in which approaches to care are negotiated between clinicians and patients. In practice, there will always be patients who have strong attitudes about ACP and this trial design enabled recruitment of those who were unwilling to be randomised, potentially improving generalisability. The nature of the ACP intervention made it impossible to blind participants to their allocation, and hence a preference design may have avoided distress among those who wanted a particular type of care but were not offered it. The preference arm introduces a self-selection bias which should be considered when interpreting study findings.44 The ACP intervention differed somewhat across the study sites due to practical factors. In the metropolitan setting, the intervention was delivered in outpatient clinics resulting in barriers to participation, particularly for participants with significant symptoms or mobility limitations. In the rural setting, the nurse facilitator was able to visit participants in a range of settings; this resulted in a tendency for multiple ACP discussions, often of shorter duration. Previous research has suggested that community-based ACP delivery can accommodate the needs of patients with heavy symptom burden and enable ongoing ACP discussion.45 However, in the current study, a lower than anticipated recruitment rate meant that it was not possible to stratify the data in order to assess the impact of the study setting on the primary outcome. While the nurses routinely discussed participants' understanding of their illness, values, goals of care and perspectives on ‘living well’, discussion about prognosis and cultural, spiritual or religious beliefs occurred less often. This may reflect participant preferences for certain domains of discussion, or the nurses' preferences to avoid aspects of discussion that might be seen as the traditional domain of doctors or spiritual advisors.46 47

ACP uptake and readiness

The facilitated ACP intervention was associated with higher rates of formal and informal ACP uptake, particularly among those with a strong preference for the intervention, and those who engaged in multiple sessions with the nurse facilitator. Among those randomly allocated to receive the intervention, uptake was not significantly higher than among those assigned to usual care, suggesting that the intervention was particularly effective among those with a preference for ACP. However, it should also be noted that it was rare for patients to be excluded at the screening stage on the basis of prior formal AD completion (see figure 1). This suggests that a preference for ACP, on its own, does not necessarily lead to high levels of formal ACP uptake, in the absence of a facilitating intervention. Most participants had discussed ACP with loved ones at baseline, with rates comparable to previous research in a healthy elderly cohort from the USA.27 Discussion with loved ones at baseline was associated with social support,29 48 suggesting that supportive social networks may enable informal discussions outside of clinical relationships. Discussions with loved ones also increased across the follow-up period, regardless of assignment to the intervention. This cohort effect may be associated with disease progression, or may have been prompted by the inclusion of questions about ‘ACP readiness’ in follow-up surveys. Consistent with previous research, rates of ACP discussions with doctors were significantly lower than completion of formal ACP documents or discussion with loved ones.27 30 The lower rates of discussion with doctors in practice contrast with those studies that suggest that patients prefer to discuss ACP with their trusted doctor.20 49 However, this paradox does seem to be overcome somewhat by the nurse facilitation process, as the rate of informal ACP uptake (documented discussion with doctor about preferences for life-sustaining treatments) did increase among participants assigned to the intervention, and was associated with having undertaken two or more nurse-facilitated ACP discussions. Similarly, higher rates of ACP discussions with doctors occurred among participants who had a family/carer involved in at least one of the facilitated ACP discussions. This implies that the presence of family/carers in initial ACP discussions prompts further follow-up with the doctor. On the other hand, participants with lower social support were also more likely to have follow-up ACP discussions with doctors, perhaps as these participants are identified as potentially vulnerable and hence managed more proactively. Previous research has found that patients with more severe symptom burden and lower levels of social support influence GP decisions to initiate ACP discussions.50 Social support is typically lower among patients with declining health status,51 and health professionals may need to proactively initiate ACP discussion among patients whose illness has led to losses in social support networks. The links between social support and ACP uptake require further investigation.

Limitations

This study has a number of limitations to consider. Assignment to study arm was unblinded, and the preference design introduced a self-selection bias, which complicates interpretation of the data. There is additional complexity in the interpretation of ACP uptake over time due to attrition during the follow-up period (mostly associated with patients dying). This was addressed where possible by supplementing self-report measures with information obtained from follow-up medical notes audits. For measures in which self-report was the only source of data (eg, ACP discussions with loved ones), 3 months was designated as the follow-up point, to minimise the impact of attrition. Where results are reported longitudinally (eg, figure 2), the sample is limited to those who were able to respond at all follow-up time points. Challenges to recruitment meant that the overall study sample was smaller than anticipated and data were collapsed across the two recruitment sites, preventing comparisons across sites. The same nurses who facilitated the ACP intervention also collected follow-up survey responses and undertook medical notes audits; this may be a source of bias. Despite this, high rates of survey (78% among surviving patients) and notes audit (98%) completion have yielded detailed data on ACP uptake among a specific cohort of patients with advanced respiratory disease. The authors suggest that the ongoing relationship between the nurse and participant contributed to the high rates of successful follow-up, and may also have facilitated high-quality ACP discussions. ACP interventions that occur outside an ongoing clinical relationship may be less effective, and may require more resources to build patient rapport.

Implications

This study has a number of implications for practice. A systematic screening process to identify patients with end-stage lung disease was found to be acceptable to clinicians and participants, and was sensitive in detecting patients at high risk of death in the coming year. Many participants expressed a strong preference to receive the ACP intervention, suggesting that assessing preference at the time of screening may enable effective tailoring of ACP interventions. Assignment to the facilitated ACP intervention was associated with large increases in ACP uptake, particularly among those with a pre-existing strong preference for receiving the intervention, and those who engaged in multiple sessions, or involved a family member or carer in the discussion. These findings suggest that facilitated ACP discussions with trained nurses are acceptable to patients with advanced respiratory disease, and effective in promoting ACP uptake.6 Programmes aiming to promote ACP uptake may consider assessing patient social support, to identify preferred support people for participation in discussions and to flag patients who may require more intensive support in undertaking ACP.
  46 in total

1.  Using the 'surprise question' can identify people with advanced heart failure and COPD who would benefit from a palliative care approach.

Authors:  Sa Murray; K Boyd
Journal:  Palliat Med       Date:  2011-06       Impact factor: 4.762

2.  Interim scoring for the EQ-5D-5L: mapping the EQ-5D-5L to EQ-5D-3L value sets.

Authors:  Ben van Hout; M F Janssen; You-Shan Feng; Thomas Kohlmann; Jan Busschbach; Dominik Golicki; Andrew Lloyd; Luciana Scalone; Paul Kind; A Simon Pickard
Journal:  Value Health       Date:  2012-05-24       Impact factor: 5.725

3.  Patient preferences and randomised clinical trials.

Authors:  C R Brewin; C Bradley
Journal:  BMJ       Date:  1989-07-29

4.  Dying with lung cancer or chronic obstructive pulmonary disease: insights from SUPPORT. Study to Understand Prognoses and Preferences for Outcomes and Risks of Treatments.

Authors:  M T Claessens; J Lynn; Z Zhong; N A Desbiens; R S Phillips; A W Wu; F E Harrell; A F Connors
Journal:  J Am Geriatr Soc       Date:  2000-05       Impact factor: 5.562

5.  Breathlessness, functional status, distress, and palliative care needs over time in patients with advanced chronic obstructive pulmonary disease or lung cancer: a cohort study.

Authors:  Vera Weingaertner; Christine Scheve; Verena Gerdes; Michael Schwarz-Eywill; Regina Prenzel; Claudia Bausewein; Irene J Higginson; Raymond Voltz; Lena Herich; Steffen T Simon
Journal:  J Pain Symptom Manage       Date:  2014-03-12       Impact factor: 3.612

6.  How do Australian palliative care nurses address existential and spiritual concerns? Facilitators, barriers and strategies.

Authors:  Robyn Keall; Josephine M Clayton; Phyllis Butow
Journal:  J Clin Nurs       Date:  2014-02-23       Impact factor: 3.036

7.  The impact of advance care planning on end of life care in elderly patients: randomised controlled trial.

Authors:  Karen M Detering; Andrew D Hancock; Michael C Reade; William Silvester
Journal:  BMJ       Date:  2010-03-23

8.  Engagement in multiple steps of the advance care planning process: a descriptive study of diverse older adults.

Authors:  Rebecca L Sudore; Adam D Schickedanz; C Seth Landefeld; Brie A Williams; Karla Lindquist; Steven Z Pantilat; Dean Schillinger
Journal:  J Am Geriatr Soc       Date:  2008-04-10       Impact factor: 5.562

Review 9.  Exploring the care needs of patients with advanced COPD: an overview of the literature.

Authors:  Clare Gardiner; Merryn Gott; Sheila Payne; Neil Small; Sarah Barnes; David Halpin; Charlotte Ruse; David Seamark
Journal:  Respir Med       Date:  2009-10-08       Impact factor: 3.415

10.  Inequalities in non-small cell lung cancer treatment and mortality.

Authors:  Ula Nur; Manuela Quaresma; Bianca De Stavola; Michael Peake; Bernard Rachet
Journal:  J Epidemiol Community Health       Date:  2015-06-05       Impact factor: 3.710

View more
  15 in total

1.  The development and feasibility study of Multidisciplinary Timely Undertaken Advance Care Planning conversations at the outpatient clinic: the MUTUAL intervention.

Authors:  Eline V T J van Lummel; Claudia Savelkoul; Eva L E Stemerdink; Dave H T Tjan; Johannes J M van Delden
Journal:  BMC Palliat Care       Date:  2022-07-06       Impact factor: 3.113

Review 2.  Self-management interventions for people with chronic obstructive pulmonary disease.

Authors:  Jade Schrijver; Anke Lenferink; Marjolein Brusse-Keizer; Marlies Zwerink; Paul Dlpm van der Valk; Job van der Palen; Tanja W Effing
Journal:  Cochrane Database Syst Rev       Date:  2022-01-10

3.  Nurse-Led Palliative Care Clinical Trial Improves Knowledge and Preparedness in Caregivers of Patients with Idiopathic Pulmonary Fibrosis.

Authors:  Kathleen Oare Lindell; Sara Jo Klein; Melinda S Veatch; Kevin F Gibson; Daniel J Kass; Mehdi Nouraie; Margaret Q Rosenzweig
Journal:  Ann Am Thorac Soc       Date:  2021-11

4.  Partially randomised patient preference trials as an alternative design to randomised controlled trials: systematic review and meta-analyses.

Authors:  Karin A Wasmann; Pieta Wijsman; Susan van Dieren; Willem Bemelman; Christianne Buskens
Journal:  BMJ Open       Date:  2019-10-16       Impact factor: 2.692

5.  Feasibility and acceptability of introducing advance care planning on a thoracic medicine inpatient ward: an exploratory mixed method study.

Authors:  Nina Elisabeth Hjorth; Margrethe Aase Schaufel; Katrin Ruth Sigurdardottir; Dagny R Faksvåg Haugen
Journal:  BMJ Open Respir Res       Date:  2020-02

6.  Healthcare providers' perception of advance care planning for patients with critical illnesses in acute-care hospitals: a cross-sectional study.

Authors:  Kanako Yamamoto; Yuki Yonekura; Kazuhiro Nakayama
Journal:  BMC Palliat Care       Date:  2022-01-07       Impact factor: 3.234

Review 7.  Deconstructing the Complexities of Advance Care Planning Outcomes: What Do We Know and Where Do We Go? A Scoping Review.

Authors:  Ryan D McMahan; Ismael Tellez; Rebecca L Sudore
Journal:  J Am Geriatr Soc       Date:  2020-09-07       Impact factor: 5.562

8.  Study protocol to investigate the efficacy of normalisation of Advance Care Planning (ACP) for people with chronic diseases in acute and community settings: a quasi-experimental design.

Authors:  Sarah Jeong; Tomiko Barrett; Se Ok Ohr; Peter Cleasby; Michael David; Sally Chan; Helen Fairlamb; Ryan Davey; Peter Saul
Journal:  BMC Health Serv Res       Date:  2019-05-04       Impact factor: 2.655

9.  Breaking Barriers: Prospective Study of a Cohort of Advanced Chronic Obstructive Pulmonary Disease Patients To Describe Their Survival and End-of-Life Palliative Care Requirements.

Authors:  Daniel Gainza-Miranda; Eva Maria Sanz-Peces; Alberto Alonso-Babarro; María Varela-Cerdeira; Concepción Prados-Sánchez; Guadalupe Vega-Aleman; Ricardo Rodriguez-Barrientos; Elena Polentinos-Castro
Journal:  J Palliat Med       Date:  2018-11-02       Impact factor: 2.947

10.  Positive attitudes to advance care planning - a Norwegian general population survey.

Authors:  Trygve Johannes L Sævareid; Reidar Pedersen; Morten Magelssen
Journal:  BMC Health Serv Res       Date:  2021-08-02       Impact factor: 2.655

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.