Predictive model of complexity in early palliative care: a cohort of advanced cancer patients (PALCOM study)

Translation and Cross-Cultural Adaptation of the Instrument for the Diagnosis of the Complexity of Palliative Care Needs

Background

In recent years, the palliative care (PC) paradigm is evolving from a prognosis-based approach to one centered on complexity, also in response to the aging population and the increase in chronic diseases. It is therefore necessary to strengthen PC networks with effective management of the specialist resources available. The use of tools such as the spanish Diagnostic Instrument for Complexity in Palliative Care (IDC-Pal) can help evaluate the complexity of PC needs, thus guiding the clinical care response. The aims of this study were the translation and the cultural adaptation of the IDC-Pal tool to the Italian language.

Methods

The methodology proposed by Beaton et al. and Sousa et al. was used for the translation and cultural adaptation of the IDC-Pal tool. Phase 1: a forward-backward translation with linguistic and cultural adaptation of the tool by two native Spanish translators and two native Italian translators, including two PC professionals and two nonprofessionals, was performed. Phase 2: the translation was evaluated by a panel of 12 Italian PC experts, who assessed the comprehensibility of the translated instrument, and proposed changes to the text, which was found to be incomprehensible to at least 20% of them. Phase 3: this version of the tool was proposed to a sample of the Italian target population (93 professionals including general practitioners, nurses, and hospital doctors at 9 Italian PC networks tested it on 168 patients in home and hospital settings), to evaluate its comprehensibility and usability. At the end of the experimental phase, a semi-structured interview was organized with the main researcher of each network, with the aim of receiving information about the comprehensibility of the tool. Finally, a definitive version was developed.

Results

The translation and adaptation were achieved without major problems.

Conclusions

A conceptually, culturally, and linguistically equivalent italian version of the original IDC-Pal was obtained.

Prevalence of Ethical Issues in Patients with Advanced Cancer: Secondary Analysis of Pooled Data from the Development and Validation Cohorts of the PALCOM Scale for the Complexity of Palliative Care Needs

INTRODUCTION

The life experience of patients with advanced cancer and limited life expectancy is unique and profoundly complex, often leading to moral discrepancies among the various individuals involved in decision making. There are no data in the literature on the prevalence of ethical issues in the end-of-life care of patients with advanced cancer.

OBJECTIVES

The primary objective of this study is to identify the overall and specific prevalence of ethical issues in the end-of-life care process for patients with advanced cancer.

METHOD

We performed a secondary analysis using pooled data from the prospective development and validation cohorts of the PALCOM scale, focusing on the complexity of palliative care needs. This was performed to determine the overall and specific prevalence of ethical issues, describe their evolution over a 6-month follow-up period, and analyze their association with the level of palliative care complexity.

RESULTS

A total of 607 patients with advanced cancer and a life expectancy of 6 months or less were included. The consistency in clinical data and the frequencies of the PALCOM scale domains between the development and validation cohorts, conducted in various settings and times, confirmed the reliability of the pooled data sample. Systematic application of the PALCOM scale identified 126 patients (20.7%) who experienced at least one ethical issue. A total of 204 ethical issues (1.6 per patient) were recorded, related to the following: the proportionality of healthcare intervention (15.6%); information (13.0%); research (2.9%); the desire to hasten death (1.8%); and palliative sedation (0.15%). The monthly probability of presenting an ethical issue was significantly higher at the baseline visit (24.0%) compared to the rest of the 6-month follow-up period (14-17%) (p < 0.001). The prevalence of ethical issues was notably higher in patients with greater palliative care complexity as measured by the PALCOM scale: 4.5% in low complexity, 19.5% in medium complexity, and 30.8% in high complexity (p < 0.001).

CONCLUSIONS

The prevalence of ethical issues in patients with advanced cancer is high. Most of these issues are directly or indirectly related to the preservation of patient autonomy in the decision-making process. The presence of ethical issues is significantly associated with the greater complexity of palliative care needs. In this context, it is crucial for healthcare professionals to strengthen both communication skills and basic competencies to effectively identify, assess, and manage these ethical issues.

Analysis of the Complexity of Palliative Care for Cancer Patients

INTRODUCTION

The Spanish National Health System has defined complexity as a set of factors of increased difficulty that require the intervention of a palliative care team. Palliative care aims to improve the quality of life of patients with chronic terminal illnesses. This study aims to describe the degree of complexity of cancer patients in palliative care, to determine which elements of complexity are most prevalent and to determine which other hospital clinical factors are associated with the level of complexity.

METHODS

This study is a descriptive, observational, and cross-sectional analysis that included patients diagnosed with advanced oncological pathology undergoing palliative treatment who were admitted to the Medical Oncology ward of the Miguel Servet University Hospital between March and April 2023.

RESULT

A total of 100 patients were selected for the study. According to the IDC-Pal, 68% of patients were classified as highly complex, 26% of patients were complex and only 6% of patients were classified as non-complex. The presence of pain (P < .001), nausea and vomiting (P = .027), depression (P = .033) and functional status (P = .011) were statistically independent predictors of high complexity.

DISCUSSION

This study has shown that a high proportion of hospitalized palliative care cancer patients have high complexity, suggesting a good matching of healthcare resources to patient complexity. Four factors related to complexity have been identified, namely pain, nausea and vomiting, depression and a bedridden functional state. The presence of any of the 4 factors could help healthcare professionals to identify patients for early specialized palliative care.

Australian Palliative Care Outcome Collaboration (PCOC) phases: cross cultural adaptation and psychometric validation for Polish palliative settings

BACKGROUND

Measuring palliative care quality requires the application of evaluation methods to compare clinically meaningful groups of patients across different settings. Such protocols are currently lacking in Poland. The Australian Palliative Care Outcome Collaboration (PCOC) concept of Palliative phases precisely defines patients, enables episodes of care extraction for benchmarking and further assessment of service delivery. The present study is aimed at developing cross-cultural adaptation and psychometric validation for a Polish translation of Palliative phases.

METHODS

Forward and backward translation was performed to obtain a Polish draft version regarding definitions of the PCOC phases. The draft was then subjected to linguistic and graphical transformations in the process of cognitive interviewing. The acceptability of the Polish version was assessed based on staff perceptions of fit, ease of assignment and familiarity with the patient's and family's situation. Finally, cross-sectional analysis was conducted among 313 hospice and home-care palliative patients. The attending doctor and nurse independently evaluated the same patients using the Polish version of the PCOC phases to establish inter-rater reliability values. Then, to determine its construct validity, the PCOC indicators were referred to patients' prognosis, functioning level and PALCOM scale scores.

RESULTS

A Polish draft version of the PCOC phases was prepared. Seven of the 13 interviewees reported problems with comprehending this proposal. This prompted changes being made to linguistic and graphical aspects of the tool. The majority of respondents preferred the final graphical scheme of phases, prepared after round-two of interviews. Scheme application acceptability was confirmed in a practical trial. The respondents' overall conviction regarding degree of fit and assignment ease was high. Seventy percent of PCOC phase assignments was in agreement, and a moderate level or inter-rater reliability was obtained (kappa 0.573). The highest proportion of totally bed-bound patients with the shortest survival prognosis was observed for the terminal phase, while the highest complexity of palliative care needs was noted for the unstable one.

CONCLUSIONS

The PCOC phases tool appears to be a valuable resource for specialists in palliative care settings to support audit measures. Practical training is recommended prior to its implementation in routine practice.

Organisation and management of multi-professional care for cancer patients at end-of-life: state-of-the-art from a survey to community and hospital-based professionals

Providing timely and satisficing End-of-Life care (EOLC) is a priority for healthcare systems since aging population and chronic diseases are boosting the global demand for care at end-of-life (EOL). In OECD countries the access to EOLC is insufficient. In Italy, the average rate of cancer patients assisted by the palliative care (PC) network at EOL was 28% in 2021, with high variability in the country. Among the Italian regions offering the best coverages, Tuscany has a rate of about 40%, but intraregional variation is marked as well. The study aims to explore the delivery of EOLC to adult cancer patients in public facilities in the Tuscany region through survey data collection among professionals. Two online surveys were delivered to Directors of community-based PC Functional-Units (FUs) and Directors of hospital-based medical-oncology units. All FU Directors responded to the survey (n = 14), and a response rate of 96% was achieved from hospital-unit Directors (n = 27). The results highlight the availability of numerous dedicated services, but reveal heterogeneity among and within organisations, including variations in the professionals involved, pathways, and tools adopted. Care continuity is supported by institutionalized collaboration between hospital and community settings, but hindered by fragmented care processes and heterogeneous transition pathways. Late referral to PC is perceived as a major constraint to EOLC. Developing structured pathways for patient transition to end-stage PC is crucial, and practices/processes should be uniformly implemented to ensure equity. Multi-professional care should be facilitated through tailored supporting tools. Both hospital-unit and FU Directors suggest developing shared pathways between organisations/professionals (82% and 80% respectively) and digital information sharing (61% and 80% respectively). Hospital and community-based professionals have similar perceptions about the concerns and challenges to EOLC provision in the region, but community-based professionals are more sensitive to the importance of improving communication on PC to the public and early discussing EOLC with caregivers. This finding suggests the need of enhancing hospital personnel's awareness about these issues. Professional training and the capacity to assess patients' needs and preferences should be improved. The identified needs can inform future research and interventions to improve the quality and outcomes of EOLC for cancer patients.

The Use of Person-Centered Outcome Measures to Support Integrated Palliative Care for Older People: A Systematic Review

OBJECTIVES

The aim was to synthesize evidence on the use of person-centered outcome measures to facilitate integrated palliative care for older people and build a logic model depicting the mechanisms through which person-centered outcome measures support integrated care.

DESIGN

Mixed methods systematic review using a data-based convergent synthesis design.

SETTING AND PARTICIPANTS

Older people aged ≥60 years who are approaching the end of their lives in multiple settings.

METHODS

The study was underpinned by a conceptual framework of integrated palliative care, which informed the search strategy, data extraction, analysis, and synthesis. A hybrid search strategy was implemented, with database searches (PsycINFO, MEDLINE, CINAHL, and ASSIA) complemented by snowball searches. Qualitative and quantitative data were analyzed by narrative synthesis to summarize and explain the findings. The findings informed a logic model depicting the mechanisms of using person-centered outcome measures to support integrated palliative care.

RESULTS

Twenty-six studies were included. Three mixed methods studies, 2 qualitative studies, and 21 quantitative studies were included. There was evidence that person-centered outcome measures could support integrated palliative care through informing palliative care policy development (n = 4), facilitating joint working across settings (n = 5), enabling close collaboration of multidisciplinary teams (n = 14), promoting joint education (n = 1), facilitating timing and specialist referral (n = 6), and enhancing patient-centered care (n = 3).

CONCLUSIONS AND IMPLICATIONS

This review makes an important, novel, and theoretically informed contribution to the delivery of scalable and sustainable integrated palliative care into the care of older people using person-centered outcome measures. The constructed logic model provides a conceptual framework and practical approach to how person-centered outcome measures support multilevel integration. A future area of research is the development of person-centered outcome measure interventions informed by the logic model to meet clinical needs.

Evolution of Complexity of Palliative Care Needs and Patient Profiles According to the PALCOM Scale (Part Two): Pooled Analysis of the Cohorts for the Development and Validation of the PALCOM Scale in Advanced Cancer Patients

INTRODUCTION

Identifying the complexity of palliative care needs is a key aspect of referral to specialized multidisciplinary early palliative care (EPC) teams. The PALCOM scale is an instrument consisting of five multidimensional assessment domains developed in 2018 and validated in 2023 to identify the level of complexity in patients with advanced cancer. (1) Objectives: The main objective of this study was to determine the degree of instability (likelihood of level change or death), health resource consumption and the survival of patients according to the level of palliative complexity assigned at the baseline visit during a 6-month follow-up. (2) Method: An observational, prospective, multicenter study was conducted using pooled data from the development and validation cohort of the PALCOM scale. The main outcome variables were as follows: (a) instability ratio (IR), defined as the probability of level change or death; (b) emergency department visits; (c) days of hospitalization; (d) hospital death; (e) survival. All the variables were analyzed monthly according to the level of complexity assigned at the baseline visit. (3) Results: A total of 607 patients with advanced cancer were enrolled. According to the PALCOM scale, 20% of patients were classified as low complexity, 50% as medium and 30% as high complexity. The overall IR was 45% in the low complexity group, 68% in the medium complexity group and 78% in the high complexity group (p < 0.001). No significant differences in mean monthly emergency department visits (0.2 visits/ patient/month) were observed between the different levels of complexity. The mean number of days spent in hospital per month was 1.5 in the low complexity group, 1.8 in the medium complexity group and 3.2 in the high complexity group (p < 0.001). The likelihood of in-hospital death was significantly higher in the high complexity group (29%) compared to the medium (16%) and low (8%) complexity groups (p < 0.001). Six-month survival was significantly lower in the high complexity group (24%) compared to the medium (37%) and low (57%) complexity groups (p < 0.001).

CONCLUSION

According to the PALCOM scale, more complex cases are associated with greater instability and use of hospital resources and lower survival. The data also confirm that the PALCOM scale is a consistent and useful tool for describing complexity profiles, targeting referrals to the EPC and managing the intensity of shared care.

Systemic strengths and needs in palliative home care: exploring complexity

OBJECTIVE

We aimed to investigate the relationship between systemic strengths and complexity in home care of end-of-life patients.

METHODS

Quantitative descriptive longitudinal study of patients cared for at home by a palliative care team. Place of death was analyzed in relation to complexity, as determined by the HexCom complexity model after the initial home assessment. We used Pearson's chi-square test to analyze the comparison of proportions.

RESULTS

Forty-six hundred patients (74.4% oncologic) with a mean age of 76.2 years (SD 13.2) participated. Fifty-three percent had complete or severe functional dependence, 30.8% were already bedridden in the first assessment, and 59.7% died at home. Strengths influenced place of death, specifically exosystem (team) strength (OR: 4.07 [1.92-8.63]), microsystem (both patient 0.51 [0.28-0.94]) and caregiver (OR: 3.90 [1.48-10.25]), and chronosystem, related to prediction of progressive course (OR: 2.22 [1.37-3.60]).

CONCLUSIONS

To improve care for end-of-life patients and their families, a systemic view of dying and death that includes both needs and strengths is necessary. In this sense, the systemic framework proposed by Bonfrenbrenner can be useful for clinical practice.

Validation Study of the PALCOM Scale of Complexity of Palliative Care Needs: A Cohort Study in Advanced Cancer Patients

BACKGROUND

In a patient-centred model of care, referral to early palliative care (EPC) depends on both the prognosis and the complexity of care needs. The PALCOM scale is a 5-domain multidimensional assessment tool developed to identify the level of complexity of palliative care needs of cancer patients. The aim of this study was to validate the PALCOM scale.

PATIENT AND METHODS

We conducted a prospective cohort study of cancer patients to compare the PALCOM scale and expert empirical assessment (EA) of the complexity of palliative care needs. The EA had to categorise patients according to their complexity, considering that medium to high levels required priority attention from specialist EPC teams, while those with low levels could be managed by non-specialist teams. Systematically collected multidimensional variables were recorded in an electronic report form and stratified by level of complexity and rating system (PALCOM scale versus EA). The correlation rank (Kendall's tau test) and accuracy test (F1-score) between the two rating systems were analysed. ROC curve analysis was used to determine the predictive power of the PALCOM scale.

RESULTS

A total of 283 advanced cancer patients were included. There were no significant differences in the frequency of the levels of complexity between the EA and the PALCOM scale (low 22.3-23.7%; medium 57.2-59.0%; high 20.5-17.3%). The prevalence of high symptom burden, severe pain, functional impairment, socio-familial risk, existential/spiritual problems, 6-month mortality and in-hospital death was significantly higher (p < 0.001) at the high complexity levels in both scoring systems. Comparative analysis showed a high correlation rank and accuracy between the two scoring systems (Kendall's tau test 0.81, F1 score 0.84). The predictive ability of the PALCOM scale was confirmed by an area under the curve in the ROC analysis of 0.907 for high and 0.902 for low complexity.

CONCLUSIONS

In a patient-centred care model, the identification of complexity is a key point to appropriate referral and management of shared care with EPC teams. The PALCOM scale is a high precision tool for determining the level of complexity of palliative care needs.

Self-perceived Burden for People With Life-threatening Illness: A Qualitative Systematic Review

CONTEXT

The perception of being a burden to others is a significant concern for people with life-threatening illness. It is unclear what underpins the concept of "self-perceived burden".

OBJECTIVES

To appraise and integrate primary evidence underpinning the concept of self-perceived burden (SPB) with respect to their informal caregivers among adult patients with life-threatening illness.

METHODS

This is a systematic review and a thematic synthesis of qualitative primary data. MEDLINE, Embase, PsycINFO, CINAHL, and Web of Science were searched in September 2021, supplemented by hand searching of textbooks and web search engines, peer-review journals, and contact with experts. Qualitative studies were included if they provided primary data of adult patients' (with life-limiting illness) SPB toward their informal caregivers. Studies were appraised using the Critical Appraisal Skills Programme checklist.

RESULTS

Nine studies were included, reporting on 219 patients who mostly had advanced life-threatening illness and needed physical assistance for daily activities. SPB is a highly subjective perception contrasting self and/or informal caregivers in the past, present, and future. Patients develop SPB feeling uncertain about caregivers' perceptions and increasing future burden. SPB interacts with other factors of surrounding complex balances (such as care needs, reality, and identity) which would change over time, and patients' reactions to SPB at the sacrifice of their wishes may conversely increase the total suffering.

CONCLUSION

SPB is not a static perception but a fluctuating and complex 'process' based on uncertainty. More diverse understandings and following interventions to achieve a better balance of care should be sought.

[Care complexity and place of death in palliative home care]

OBJECTIVE

To examine the associations between the dimensions of the HexCom care complexity model and the place of death.

METHOD

Multicenter longitudinal observational study in patients with advanced illness cared for by home care support teams in Catalonia. Age, gender, type of illness, main caregiver, external support, place of death and the sub-areas of care complexity provided by HexCom were registered. A multivariate Cox regression analysis was performed.

RESULTS

Participation of 1527 patients (72% oncology), cared for a median of 35 days. 45% died at home. The probability of dying at home was greater when a greater functional impairment was detected in the initial assessment (hazard ratio [HR]: 7.67; 95% confidence interval [95%CI]: 4.93-11.92), when the patient was male (HR: 1.19; 95%CI: 1.02-1.39), was over 80 years old (HR: 1.41; 95%CI: 1.20-1.66) and when care complexity was detected in relation to being in a situation of last days (HR: 2.24; 95%CI: 1.69-2.97). It was more likely not to die at home in the case of cancer (HR: 0.76; 95%CI: 0.64-0.89), or if poor external support to the family group was detected in the first evaluation (HR: 0.79; 95%CI: 0.67-0.93), or that the patient did not feel at peace with others (HR: 0.56; 95%CI: 0.40-0.79), or lack of agreement on the planning of the place of death (HR: 0.57; 95%CI: 0.48-0.68).

CONCLUSIONS

The assessment of the complexity of care through the HexCom-Clin model can help to improve advance planning of decisions by incorporating among its dimensions the feeling of peace with others, the external support to the family nucleus and the degree of agreement on the place of death.

Palliative care models for patients living with advanced cancer: a narrative review for the emergency department clinician

Eighty-one percent of persons living with cancer have an emergency department (ED) visit within the last 6 months of life. Many cancer patients in the ED are at an advanced stage with high symptom burden and complex needs, and over half is admitted to an inpatient setting. Innovative models of care have been developed to provide high quality, ambulatory, and home-based care to persons living with serious, life-limiting illness, such as advanced cancer. New care models can be divided into a number of categories based on either prognosis (e.g., greater than or less than 6 months), or level of care (e.g., lower versus higher intensity needs, such as intravenous pain/nausea medication or frequent monitoring), and goals of care (e.g., cancer-directed treatment versus symptom-focused care only). We performed a narrative review to (1) compare models of care for seriously ill cancer patients in the ED and (2) examine factors that may hasten or impede wider dissemination of these models.

Consultations’ demand for a hospital palliative care unit: how to increase appropriateness? Implementing and evaluating a multicomponent educational intervention aimed at increase palliative care complexity perception skill

Background

Planned, multidisciplinary teams’ discussions of cases are common in cancer care, but their impact on patients’ outcome is not always clear. Palliative care (PC) needs might emerge long before the last weeks of life. Many palliative care patients could be managed from the usual care staff, if appropriately trained; specialist palliative care should be provided to patients with more complex needs. Staff needs adequate training, so that only patients presenting a higher complexity are properly referred to the second level (“specialized”) PC services. In the considered hospital setting, “tumour boards” (multidisciplinary discussions) refer often to a low number of patients. Overall complexity of patients’ needs is hardly considered.

Methods

A mixed method pilot study with data triangulation of professionals’ interviews and an independently structured evaluation of complexity of referred patients, before and after the intervention, using the PALCOM instrument. We trained four teams of professionals to deliver first-level palliation and to refer patients with complex needs detected in multidisciplinary discussions. A multicomponent, first level PC educational intervention, including information technology’s adaptation, a training course, and bedside training was offered from the specialized PC Services, to all the HPs involved in multidisciplinary pancreas, lung, ovarian, and liver tumour boards.

Results

While the level of complexity of referred patients did not increase, trainees seemed to develop a better understanding of palliative care and a higher sensitivity to palliative needs. The number of referred patients increased, but patients’ complexity did not. Qualitative data showed that professionals seemed to be more aware of the complexity of PC needs. A “meaning shift” was perceived, specifically on the referral process (e.g., “when” and “for what” referring to specialist PC) and on the teams’ increased focus on patients’ needs. The training, positively received, was adapted to trainees’ needs and observations that led also to organizational modifications.

Conclusions

Our multicomponent intervention positively impacted the number of referrals but not the patients’ complexity (measured with the PALCOM instrument). Hospital staff does not easily recognize that patients may have PC needs significantly earlier than at the end of life.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12904-022-00968-7.

A systematic review of classifications systems to determine complexity of patient care needs in palliative care

BACKGROUND

Providing the right care for each individual patient is a key element of quality palliative care. Complexity is a relatively new concept, defined as the nature of patients' situations and the extent of resulting needs. Classifying patients according to the complexity of their care needs can guide integration of services, anticipatory discussions, health service planning, resource management and determination of needs for specialist or general palliative care. However, there is no consistent approach to interpreting and classifying complexity of patient needs.

AIM

The aim of this article is to identify and describe classification systems for complexity of patient care needs in palliative care.

DESIGN

Narrative systematic review (PROSPERO registration number CRD42020182102).

DATA SOURCES

MEDLINE, Embase, CINAHL and PsychINFO databases were searched without time limitations. Articles were included that described classification systems for complexity of care requirements in populations with palliative care needs.

RESULTS

In total, 4301 records were screened, with nine articles identified reporting the use of patient classification systems in populations with palliative care needs. These articles included the use of six classification systems: HexCom, Perroca Scale, AN-SNAP, Hui Major Criteria, IDC-Pal and PALCOM. These systems were heterogenous in the manner they determined complexity of care needs. The HexCom and IDC-Pal systems contained items that covered all domains of complexity as described by Hodiamont; personal, social support, health care team and environment.

CONCLUSION

Although six classification systems have been developed, they access differing aspects of care needs and their application has been limited. The HexCOM and IDC-Pal systems offer the broadest determinations of complexity from an individual perspective. Further research is needed to apply these systems to populations external to those in which they were developed, and to appreciate how they may integrate with, and impact, clinical care.

A scoping Review of tools used to assess patient Complexity in rheumatic disease

OBJECTIVE

Patients with rheumatic diseases often have multiple comorbidities which may impact well-being leading to high psychosocial complexity. This scoping review was undertaken to identify complexity measures/tools used in rheumatology that could help in planning and coordinating care.

METHODS

MEDLINE, EMBASE and CINAHL were searched from database inception to 14 December 2019 using keywords and Medical Subject Headings for "care coordination", "complexity" and selected rheumatic diseases and known complexity measures/tools. Articles describing the development or use of complexity measures/tools in patients with adult rheumatologic diagnoses were included regardless of study design. Included articles were evaluated for risk of bias where applicable.

RESULTS

The search yielded 407 articles, 37 underwent full-text review and 2 were identified during a hand search with 9 included articles. Only 2 complexity tools used in populations of adult patients with rheumatic disease were identified: the SLENQ and the INTERMED. The SLENQ is a 97-item patient needs questionnaire developed for patients with systemic lupus (n = 1 study describing tool development) and applied in 5 cross-sectional studies. Three studies (a practice article, trial and a cross-sectional study) applied the INTERMED, a clinical interview to ascertain complexity and support coordinated care, in patients with rheumatologic diagnoses.

CONCLUSIONS

There is limited information on the use of patient complexity measures/tools in rheumatology. Such tools could be applied to coordinate multidisciplinary care and improve patient experience and outcomes.

PATIENT CONTRIBUTION

This scoping review will be presented to patient research partners involved in co-designing a future study on patient complexity in rheumatic disease.

Gil Moncayo F, Ochoa Arnedo C, Casellas-Grau A, Trelis Navarro J, Calle Rodríguez C. Consenso sobre el estándar de atención psicooncológica, complejidad psicosocial y actividad asistencial en el Instituto Catalán de Oncología

Introducción: La atención psicosocial de las personas con enfermedad oncológica y la familia debe formar parte de todo modelo integral de atención que pretenda reducir el impacto vital del cáncer. Las intervenciones psicosociales han probado su eficacia en la ayuda a pacientes y familiares para afrontar las situaciones de alta complejidad psicosocial emergentes a consecuencia de un diagnóstico de cáncer. Objetivo: Definir y explicar el modelo de Atención Psicosocial del Comité Psicosocial del Instituto Catalán de Oncología (ICO) utilizando criterios de vulnerabilidad, complejidad y derivación; enmarcado y basado en los valores del ICO (centrados en las necesidades de pacientes con cáncer y sus familias). Método: El modelo que se presenta en este documento consta de cinco pilares: 1) Principios de la Práctica Psicosocial en Oncología; 2) Áreas de actuación en la Atención Psicosocial del paciente con cáncer y la familia; 3) Cribado de malestar emocional y derivación del paciente con cáncer y la familia para una atención psicooncológica específica; 4) Comité Psicosocial: (objetivos; funciones; organización; composición; disciplinas participantes; criterios de derivación y niveles de complejidad; y procedimiento); y 5) Índice de productividad. Resultados: Pacientes y familiares atendidos por el CPS mostraron mejoría estadísticamente significativa en los niveles del malestar emocional, pasando de una media inicial de 8,12/10 (EVA/ ENV) a una media 6,27/10 (EVA/ENV). Asimismo, se constata que las intervenciones derivadas del comité psicosocial redujeron el porcentaje de casos iniciales de alta complejidad, pasando de un 69,3% a un 49,3%. Conclusiones: El abordaje de la complejidad psicosocial mediante un modelo basado en criterios multi e interdisciplinarios consensuados ayuda en la toma de decisiones sobre las acciones a seguir y en la mejora del malestar emocional y complejidad de los pacientes y la familia.

Assessing Face Validity of the HexCom Model for Capturing Complexity in Clinical Practice: A Delphi Study

Capturing complexity is both a conceptual and a practical challenge in palliative care. The HexCom model has proved to be an instrument with strong reliability and to be valid for describing the needs and strengths of patients in home care. In order to explore whether it is also perceived to be helpful in enhancing coordinated and patient-centred care at a practical level, a methodological study was carried out to assess the face validity of the model. In particular, a Delphi method involving a group of 14 experts representing the full spectrum of healthcare professionals involved in palliative care was carried out. The results show that there is a high level of agreement, with a content validity index-item greater than 0.92 both with regard to the complexity model and the HexCom-Red, HexCom-Basic, and the HexCom-Clin instruments, and higher than 0.85 regarding the HexCom-Figure and the HexCom-Patient instruments. This consensus confirms that the HexCom model and the different instruments that are derived from it are valued as useful tools for a broad range of healthcare professional in coordinately capturing complexity in healthcare practice.

Impact of individualized management of breakthrough cancer pain on quality of life in advanced cancer patients: CAVIDIOPAL study

PURPOSE

The main aim of the study was to assess the impact of individualized management of breakthrough cancer pain (BTcP) on quality of life (QoL) of patients with advanced cancer in clinical practice.

METHODS

A prospective, observational, multicenter study was conducted in patients with advanced cancer that were assisted by palliative care units. QoL was assessed with the EORTC QLQ-C30 questionnaire at baseline (V0) and after 28 days (V28) of individualized BTcP therapy. Data on background pain, BTcP, comorbidities, and frailty were also recorded.

RESULTS

Ninety-three patients completed the study. Intensity, duration, and number of BTcP episodes were reduced (p < 0.001) at V28 with individualized therapy. Transmucosal fentanyl was used in 93.8% of patients, mainly by sublingual route. Fentanyl titration was initiated at low doses (78.3% of patients received doses of 67 μg, 100 μg, or 133 μg) according to physician evaluation. At V28, mean perception of global health status had increased from 31.1 to 53.1 (p < 0.001). All scales of EORTC QLQ-C30 significantly improved (p < 0.001) except physical functioning, diarrhea, and financial difficulties. Pain scale improved from 73.6 ± 22.6 to 35.7 ± 22.3 (p < 0.001). Moreover, 85.9% of patients reported pain improvement. Probability of no ≥ 25% improvement in QoL was significantly higher in patients ≥ 65 years old (OR 1.39; 95% CI 1.001-1.079) and patients hospitalized at baseline (OR 4.126; 95% CI 1.227-13.873).

CONCLUSION

Individualized BTcP therapy improved QoL of patients with advanced cancer. Transmucosal fentanyl at low doses was the most used drug.

TRIAL REGISTRATION

This study was registered at ClinicalTrials.gov database (NCT02840500) on July 19, 2016.

Prevalence of ethical dilemmas in advanced cancer patients (secondary analysis of the PALCOM study)

PURPOSE

The main aim of this study was to determine the prevalence of ethical dilemmas in the end-of-life process in advanced cancer patients.

METHODS

We carried out a multicenter, cross-sectional, observational, prospective study in a cohort of cancer patients whose life expectancy was ≤ 6 months. We recorded sociodemographic characteristics, diagnosis of cancer, symptom burden, cognitive and functional status, emotional impact, and sociofamilial risk factors. The main outcome measure was the detection of ethical dilemmas, based on the following definition: conflict in decision-making during the end-of-life process that involves the need to choose between morally acceptable opposing options, where none is clearly preferable to another.

RESULTS

We included 324 patients (mean age, 69 years; 58% men). We identified 117 dilemmas in 90 patients (27.8%). The dilemmas detected were as follows: (a) conflicts of information (adaptive denial, conspiracy of silence, information exceeding patient's desired limit), 15.7%; (b) discrepancies in proportionality (discussion on futility, rejection of treatment, withdrawal of life support measures), 16.7%; (c) unrealistic expectations about the outcome of clinical trials, 2.5%; and (d) request for euthanasia or medically assisted suicide, 1.2%. We observed a greater prevalence of ethical dilemmas in men, in patients receiving active cancer treatment, and in patients with emotional distress (p < 0.05).

CONCLUSIONS

The prevalence of ethical dilemmas during the end-of-life process in cancer patients is relevant. Most dilemmas were associated directly or indirectly with respect for patient autonomy. In this context, the communication skills of the health professionals and advanced care planning take on a key role.

Early palliative care in haematological patients: a systematic literature review

Background

Early palliative care together with standard haematological care for advanced patients is needed worldwide. Little is known about its effect. The aim of the review is to synthesise the evidence on the impact of early palliative care on haematologic cancer patients’ quality of life and resource use.

Patients and methods

A systematic review was conducted. The search terms were early palliative care or simultaneous or integrated or concurrent care and haematological or oncohaematological patients. The following databases were searched: PubMed, Embase, Cochrane, CINHAL and Scopus. Additional studies were identified through cross-checking the reference articles. Studies were in the English language, with no restriction for years. Two researchers independently reviewed the titles and abstracts, and one author assessed full articles for eligibility.

Results

A total of 296 studies titles were reviewed. Eight articles were included in the synthesis of the results, two controlled studies provided data on the comparative efficacy of PC interventions, and six one-arm studies were included. Since data pooling and meta-analysis were not possible, only a narrative synthesis of the study results was performed. The quality of the two included comparative studies was low overall. The quality of the six non-comparative studies was high overall, without the possibility of linking the observed results to the implemented interventions.

Conclusions

Studies on early palliative care and patients with haematological cancer are scarce and have not been prospectively designed. More research on the specific population target, type and timing of palliative care intervention and standardisation of collected outcomes is required.

PROSPERO registration number

CRD42020141322.

Developing a consensus definition of psychosocial complexity in cancer patients using Delphi methods

OBJECTIVE

Cancer is one of the biggest health challenges of our times, affecting all the personal areas of a patient. The interrelationships between these areas and the need for multidisciplinary care require the assessment of psychosocial complexity in cancer patients. The main aim of this study was to reach a consensus on the general definition of psychosocial complexity in cancer and its main elements according to the experts in the field.

METHOD

A Delphi study was performed, which first involved a comprehensive review of the literature to create a questionnaire that was validated by two expert panels. The first panel consisted of intra-institutional experts, while the second included extra-institutional experts in the field. The study included three more rounds: (1) validation of the questionnaire by the internal panel, (2) discussion of the results and resolving discrepancies, and (3) validation of the questionnaire by the external panel.

RESULTS

After the four-round Delphi process, we obtained a consensus definition of psychosocial complexity in cancer patients, as well as of its main factors: medical-physical, social-family, psychological, and spiritual. A 21-indicators list and its 8-indicators brief version were also proposed as indicators of psychosocial complexity.

SIGNIFICANCE OF RESULTS

We present a definition of psychosocial complexity in cancer patients that has been agreed by experts, also establishing its four factors: medical-physical, social-family, psychological, and spiritual. This has led to the development of a list of indicators (and its brief version) that, after a validation process, could help health professionals to identify patients with high psychosocial complexity to provide them an optimal care.

Level of Palliative Care Complexity in Advanced Cancer Patients: A Multinomial Logistic Analysis

The current treatment approach for patients in palliative care (PC) requires a health model based on shared and individualised care, according to the degree of complexity encountered. The aims of this study were to describe the levels of complexity that may be present, to determine their most prevalent elements and to identify factors that may be related to palliative complexity in advanced-stage cancer patients. An observational retrospective study was performed of patients attended to at the Cudeca Hospice. Socio-demographic and clinical data were compiled, together with information on the patients’ functional and performance status (according to the Palliative Performance Scale (PPS)). The level of complexity was determined by the Diagnostic Instrument of Complexity in Palliative Care (IDC-Pal©) and classified as highly complex, complex or non-complex. The impact of the independent variables on PC complexity was assessed by multinomial logistic regression analysis. Of the 501 patients studied, 44.8% presented a situation classed as highly complex and another 44% were considered complex. The highly complex items most frequently observed were the absence or insufficiency of family support and/or caregivers (24.3%) and the presence of difficult-to-control symptoms (17.3%). The complex item most frequently observed was an abrupt change in the level of functional autonomy (47.6%). The main factor related to the presence of high vs. non-complexity was that of performance status (odds ratio (OR) = 10.68, 95% confidence interval (CI) = 2.81–40.52, for PPS values < 40%). However, age was inversely related to high complexity. This study confirms the high level of complexity present in patients referred to a PC centre. Determining the factors related to this complexity could help physicians identify situations calling for timely referral for specialised PC, such as a low PPS score.

Early palliative care versus standard care in haematologic cancer patients at their last active treatment: study protocol of a feasibility trial

Background

Patients with advanced haematological malignancies suffer from a very high symptom burden and psychological, spiritual, social and physical symptoms comparable with patients with metastatic non-haematological malignancy. Referral to palliative care services for these patients remains limited or often confined to the last days of life. We developed a palliative care intervention (PCI) integrated with standard haematological care. The aim of the study was focussed on exploring the feasibility of the intervention by patients, professionals and caregivers and on assessing its preliminary efficacy.

Methods/design.

This is a mixed-methods phase 2 trial.

The Specialist Palliative Care Team (SPCT) will follow each patient on a monthly basis in the outpatient clinic or will provide consultations during any hospital admission. SPCT and haematologists will discuss active patient issues to assure a team approach to the patient’s care.

This quantitative study is a monocentric parallel-group superiority trial with balanced randomisation comparing the experimental PCI plus haematological standard care versus haematological standard care alone.

The primary endpoint will calculate on adherence to the planned PCI, measured as the percentage of patients randomised to the experimental arm who attend all the planned palliative care visits in the 24 weeks after randomisation.

The qualitative study follows the methodological indications of concurrent nested design and was aimed at exploring the acceptability of the PCI from the point of view of patients, caregivers and physicians.

Discussion

In this trial, we will test the feasibility of an integrated palliative care approach starting when the haematologist decides to propose the last active treatment to the patient, according to his/her clinical judgement. We decided to test this criterion because it is able to intercept a wide range of patients’needs. The feasibility of this approach requires that we enrol at least 60 patients and that more than 50% of them be followed by the palliative care team for at least 24 weeks.

The trial will include integrated qualitative data analysis; to give essential information on feasibility and acceptability.

Trial registration

ClinicalTrials.gov: NCT03743480 (November 16, 2018).

Palliative care training addressed to hospital healthcare professionals by palliative care specialists: a mixed-method evaluation

Background

Despite the great advances in the concept of palliative care (PC) and its benefits, its application seems to be delayed, leaving unfulfilled the many needs of patients and family members. One way to overcome this difficulty could be to develop a new training programme by palliative care specialists to improve PC primary skills in healthcare professionals. The aim of this study was to evaluate the training’s impact on trainees within a hospital setting using Kirkpatrick’s and Moore’s models.

Methods

We adopted a mixed-method evaluation with concurrent triangulation. The evaluation followed the first three steps of Kirkpatrick’s and Moore’s models and included a pre- and post-training evaluation through self-administered questionnaires and focus groups. We used the McNemar statistical test.

Results

The results highlighted the significant amount of knowledge acquired by the hospital professionals after training, in terms of increasing their knowledge of palliative care and in terms of the change in meaning that they attributed to phenomena related to chronicity and incurability, which they encounter daily in their professional practice. In both quantitative and qualitative research, the results, in synthesis, highlight:

(i) the development of a new concept of palliative care, centred on the response to the holistic needs of people;

(ii) that palliative care can also be extended to non-oncological patients in advanced illness stages (our training was directed to Geriatrics and Nephrology/Dialysis professionals);

(iii) the empowerment and the increase in self-esteem that healthcare professionals gained, from learning about the logistical and structural organization of palliative care, to activate and implement PC;

(iv) the need to share personal aspects of their professional life (this result emerges only in qualitative research);

(v) the appreciation of cooperation and the joining of multiple competences towards a synergistic approach and enhanced outcomes.

Conclusion

It is necessary to further develop rigorous research on training evaluation, at the most complex orders of the Kirkpatrick and Moore models, to measure primary PC skills in health care professionals. This will develop the effectiveness of the integration of I- and II-level palliative care competencies in hospitals and improve outcomes of patients’ and families’ quality of life.

Instruments to evaluate complexity in end-of-life care

PURPOSE OF REVIEW

The growing number of patients with terminal and chronic conditions and co-morbidities constitutes a challenge for any healthcare system, to provide effective and efficient patient-centred care at the end of life. Resources are limited, and complexity is rising within patients' situations and healthcare professionals interventions. This review presents the state of art of the role of complexity in specialist palliative care provision.

RECENT FINDINGS

Although studies related to complexity in palliative care are still limited, interesting reviews on complexity frameworks in co-morbidity conditions and palliative care are growing more present in current literature. They identify multidimensional issues, resource utilisation, and the relationship between them as fundamental aspects of complexity constructs, helping to define and understand complexity, and to therefore design validated tools to support healthcare professionals identifying the most complex patients, such as Hui's criteria, PALCOM, INTERMED, and IDC-Pal which is presented in this review.

SUMMARY

There is an urgent need to guarantee quality and equity of care for all the patients eligible for palliative care, from those who need a palliative care approach to those needing specialist intensive palliative care. Implementing complexity theory into practice is paramount. In this review, complexity science, complexity frameworks, as well as tools evaluating complexity in palliative care are described.

Long-term sustainability of a quality improvement program on cancer pain management: a complex intervention in an inpatient setting

Background:

Several approaches towards pain control for admitted cancer patients have been suggested by the literature without achieving satisfactory results. In this quality improvement project, we proposed a multicomponent intervention.

Measures:

A set of indicators was established for each component of the project. The feasibility of both the intervention and its evaluation system was measured. According to the literature review and the analysis of the local context, 5 active components were identified, piloted, and assessed: training of ward professionals, education of patients and nonprofessional caregivers, regular pain assessment, specialist-level pain consultation procedures, and involvement of hospital management.

Results:

Multiprofessional training programs with daily discussions, daily pain assessment, and a readily available specialized palliative care service seem to be the active components of this complex intervention. The quality improvement project achieved 2 years sustainability.

Conclusion:

Consolidated educational and organizational methodologies support the feasibility of this complex intervention.

Understanding complexity - the palliative care situation as a complex adaptive system

Background

The concept of complexity is used in palliative care (PC) to describe the nature of patients’ situations and the extent of resulting needs and care demands. However, the term or concept is not clearly defined and operationalised with respect to its particular application in PC. As a complex problem, a care situation in PC is characterized by reciprocal, nonlinear relations and uncertainties. Dealing with complex problems necessitates problem-solving methods tailored to specific situations. The theory of complex adaptive systems (CAS) provides a framework for locating problems and solutions.

This study aims to describe criteria contributing to complexity of PC situations from the professionals’ view and to develop a conceptual framework to improve understanding of the concept of “complexity” and related elements of a PC situation by locating the complex problem “PC situation” in a CAS.

Methods

Qualitative interview study with 42 semi-structured expert (clinical/economical/political) interviews. Data was analysed using the framework method. The thematic framework was developed inductively. Categories were reviewed, subsumed and connected considering CAS theory.

Results

The CAS of a PC situation consists of three subsystems: patient, social system, and team. Agents in the "system patient" are allocated to further subsystems on patient level: physical, psycho-spiritual, and socio-cultural. The "social system" and the "system team" are composed of social agents, who affect the CAS as carriers of characteristics, roles, and relationships. Environmental factors interact with the care situation from outside the system. Agents within subsystems and subsystems themselves interact on all hierarchical system levels and shape the system behaviour of a PC situation.

Conclusions

This paper provides a conceptual framework and comprehensive understanding of complexity in PC. The systemic view can help to understand and shape situations and dynamics of individual care situations; on higher hierarchical level, it can support an understanding and framework for the development of care structures and concepts. The framework provides a foundation for the development of a model to differentiate PC situations by complexity of patients and care needs. To enable an operationalisation and classification of complexity, relevant outcome measures mirroring the identified system elements should be identified and implemented in clinical practice.

Electronic supplementary material

The online version of this article (10.1186/s12913-019-3961-0) contains supplementary material, which is available to authorized users.

A framework for complexity in palliative care: A qualitative study with patients, family carers and professionals

Background:

Palliative care patients are often described as complex but evidence on complexity is limited. We need to understand complexity, including at individual patient-level, to define specialist palliative care, characterise palliative care populations and meaningfully compare interventions/outcomes.

Aim:

To explore palliative care stakeholders’ views on what makes a patient more or less complex and insights on capturing complexity at patient-level.

Design:

In-depth qualitative interviews, analysed using Framework analysis.

Participants/setting:

Semi-structured interviews across six UK centres with patients, family, professionals, managers and senior leads, purposively sampled by experience, background, location and setting (hospital, hospice and community).

Results:

65 participants provided an understanding of complexity, which extended far beyond the commonly used physical, psychological, social and spiritual domains. Complexity included how patients interact with family/professionals, how services’ respond to needs and societal perspectives on care. ‘Pre-existing’, ‘cumulative’ and ‘invisible’ complexity are further important dimensions to delivering effective palliative and end-of-life care. The dynamic nature of illness and needs over time was also profoundly influential. Adapting Bronfenbrenner’s Ecological Systems Theory, we categorised findings into the microsystem (person, needs and characteristics), chronosystem (dynamic influences of time), mesosystem (interactions with family/health professionals), exosystem (palliative care services/systems) and macrosystem (societal influences). Stakeholders found it acceptable to capture complexity at the patient-level, with perceived benefits for improving palliative care resource allocation.

Conclusion:

Our conceptual framework encompasses additional elements beyond physical, psychological, social and spiritual domains and advances systematic understanding of complexity within the context of palliative care. This framework helps capture patient-level complexity and target resource provision in specialist palliative care.