Applying the Multiphase Optimization Strategy for the Development of Optimized Interventions in Palliative Care

Engaging patient and community stakeholders in the optimization of the Compassionate And Loving Mindset towards heart health risk (CALM Hearts) physical activity intervention: a description of initial work and protocol for future engagement activities

BACKGROUND

Participatory research approaches systematically integrate the perspectives of individuals, organizations, or communities that have a direct interest in a study's processes and outcomes (i.e., stakeholders) in research design and implementation. This supports interventions that are developed "by, not for" end-users, thereby increasing acceptability, uptake, and adherence. However, participatory approaches are relatively under-utilized in intervention development and behavioral change intervention research, in part, due to inadequate reporting of methodology. Therefore, to improve transparency in planning and reporting, we (a) describe how we engaged patients and community organizations (i.e., patient and community partners) in grant development for a self-compassion and physical activity behaviour change intervention for women with cardiovascular risk factors and (b) present a protocol for engaging patient and community partners in the optimization and implementation of the intervention moving forward.

METHODS

Our participatory research approach was guided by the Strategy for Patient-Oriented Research patient engagement framework and our prior stakeholder engagement work. Four patients and three community partners were engaged at the level of Involve, meaning their perspectives informed directions, processes, and decisions at major project milestones. Specifically, patient and community partners engaged in three separate meetings during grant development wherein they: (a) established a Terms of Reference to guide engagement activities and expectations; (b) shaped the grant through guided conversations about research priorities, outcomes, and intervention delivery components that could be targeted for optimization and (c) co-developed a protocol that specifies how relationships will be initiated with future patient partners, proposes engagement activities across the research cycle, and includes plans for formal evaluation of engagement processes.

CONCLUSIONS

Participatory research approaches provide valuable insights into the development of behavioural interventions, especially when stakeholders can partner early and have a meaningful impact. By detailing our engagement activities to date, we hope to model an approach to engaging stakeholders in behavioral intervention development and demonstrate the impacts of doing so.

Using Multiphase Optimization Strategy and Human-Centered Design to Create an Integrated Model of Palliative Care Skills in Home-Based Physical Therapy for Advanced Heart Failure

Background: Many older adults with advanced heart failure receive home health rehabilitation after hospitalization. Yet, integration of palliative care skills into rehabilitation is limited. Objective: Describe using the Multiphase Optimization Strategy (MOST) framework with human-centered design principles to engage clinical partners in the Preparation phase of palliative physical therapy intervention development. Design: We convened a home-based physical therapy advisory team (four clinicians, three clinical leaders) to identify physical therapist needs and preferences for incorporating palliative care skills in rehabilitation and design an intervention prototype. Results: Between 2022 and 2023, we held five advisory team meetings. Initial feedback on palliative care skill preferences and training needs directly informed refinement of our conceptual model and skills in the intervention prototype. Later feedback focused on reviewing and revising intervention content, delivery strategy, and training considerations. Conclusion: Incorporating human-centered design principles within the MOST provided a useful framework to partner with clinical colleagues in intervention design.

Expressive writing treatments to reduce PTSD symptom severity and negative alcohol-related outcomes among trauma-exposed sexual minority women and transgender/nonbinary people: Study protocol for a mixed-method pilot trial

Background

Sexual minority women (SMW) and transgender and/or nonbinary (TNB) individuals report an elevated prevalence of posttraumatic stress disorder (PTSD) symptoms and negative alcohol-related outcomes compared to heterosexual women and cisgender people. SMW and TNB individuals also face barriers to utilizing treatment, which can result in delayed or missed appointments. Accessible, feasible, and effective treatment approaches, such as web-based expressive writing (EW) treatments, are needed to address PTSD and negative alcohol-related outcomes in these populations.

Method

We describe the design of a mixed-method pilot randomized controlled trial which will compare an EW treatment adapted for SMW and TNB people (stigma-adapted EW) and trauma (i.e., non-adapted) EW with an active (neutral-event) control to determine acceptability and feasibility of a future fully powered randomized controlled trial. The sample will include 150 trauma-exposed SMW and TNB individuals from across the United States who will be randomly assigned to stigma-adapted EW (n = 50), trauma EW (n = 50), or control (n = 50). Participants will be assessed before treatment, one-week after the first writing session, and three-months after the first writing session. This paper identifies steps for evaluating the acceptability and feasibility of the proposed study and determining changes in outcomes resulting from adapted and non-adapted EW treatments to inform refinements. This paper also highlights our strategy for testing theory-driven mediators and moderators of treatment outcomes.

Conclusions

This mixed-method pilot trial will inform the first fully powered, self-administered, brief web-based treatment to reduce PTSD symptom severity and negative alcohol-related outcomes among trauma-exposed SMW and TNB individuals.

Decision support training for advanced cancer family caregivers: Study protocol for the CASCADE factorial trial

BACKGROUND

Patients with advanced cancer face numerous decisions when diagnosed and often receive decision support from family caregivers. The CASCADE (CAre Supporters Coached to be Adept DEcision partners) factorial trial intervention aims to train caregivers in skills to provide effective decision support to patients and identify most effective intervention components.

METHODS

This is a 2-site, single-blind, 24 factorial trial to test components of the CASCADE decision support training intervention for family caregivers of patients with newly-diagnosed advanced cancer delivered by specially-trained, telehealth, palliative care lay coaches over 24 weeks. Family caregivers (target N = 352) are randomly assigned to one of 16 combinations of four components with two levels each: 1) psychoeducation on effective decision partnering principles (1 vs. 3 sessions); 2) decision support communication training (1 session vs. none); 3) Ottawa Decision Guide training (1 session vs. none) and 4) monthly follow-up (1 call vs. calls for 24 weeks). The primary outcome is patient-reported decisional conflict at 24 weeks. Secondary outcomes include patient distress, healthcare utilization, caregiver distress, and quality of life. Mediators and moderators (e.g., sociodemographics, decision self-efficacy, social support) will be explored between intervention components and outcomes. Results will be used to build two versions of CASCADE: one with only effective components (d ≥ 0.30) and another optimized for scalability and cost.

DISCUSSION

This protocol describes the first factorial trial, informed by the multiphase optimization strategy, of a palliative care decision-support intervention for advanced cancer family caregivers and will address the field's need to identify effective components that support serious illness decision-making.

TRIAL REGISTRATION

NCT04803604.

Multiphase optimization strategy: How to build more effective, affordable, scalable and efficient social and behavioural oral health interventions

This commentary introduces the field of social behavioural oral health interventions to the multiphase optimization strategy (MOST). MOST is a principled framework for the development, optimization and evaluation of multicomponent interventions. Drawing from the fields of engineering, behavioural science, economics, decision science and public health, intervention optimization requires a strategic balance of effectiveness with affordability, scalability and efficiency. We argue that interventions developed using MOST are more likely to maximize the public health impact of social behavioural oral health interventions.

Use of Theoretical Frameworks in the Development and Testing of Palliative Care Interventions

CONTEXT

Palliative care (PC) research has grown over the last 20 years. Yet, the causal components and pathways of PC interventions remain unclear.

OBJECTIVES

To document the prevalence and application of theoretical frameworks in developing and testing PC interventions.

METHODS

We conducted a secondary analysis of previously published systematic reviews of PC randomized clinical trials. Trials were evaluated for explicit mention of a theoretical framework, process or delivery model, or clinical practice guideline that supported the development of the intervention. We used a structured data extraction form to document study population, outcomes, and whether and how authors used a theoretical framework, process/delivery model, or clinical practice guideline. We applied an adapted coding scheme to evaluate use of theoretical frameworks.

RESULTS

We reviewed 85 PC trials conducted between 1984 and 2021. Thirty-eight percent (n = 32) of trials explicitly mentioned a theoretical framework, process or delivery model, or clinical practice guideline as a foundation for the intervention design. Only nine trials included a theoretical framework, while the remaining 23 cited a process/delivery model or clinical practice guideline.

CONCLUSION

Most PC trials do not cite a theoretical foundation for their intervention design. Future work should focus on developing and validating new theoretical frameworks and modifying existing theories and models to better explain the mechanisms of the variety of PC interventions.

An Early Palliative Care Telehealth Coaching Intervention to Enhance Advanced Cancer Family Caregivers' Decision Support Skills: The CASCADE Pilot Factorial Trial

CONTEXT

Patients with advanced cancer often involve family caregivers in health-related decision-making from diagnosis to end-of-life; however, few interventions have been developed to enhance caregiver decision support skills.

OBJECTIVES

Assess the feasibility, acceptability, and potential efficacy of individual intervention components of CASCADE (CAre Supporters Coached to be Adept DEcision Partners), an early telehealth, palliative care coach-led decision support training intervention for caregivers.

METHODS

Pilot factorial trial using the multiphase optimization strategy (October 2019-October 2020). Family caregivers and their care recipients with newly-diagnosed advanced cancer (n = 46 dyads) were randomized to1 of 8 experimental conditions that included a combination of one of the following three CASCADE components: 1) effective decision support psychoeducation; 2) decision support communication training; and 3) Ottawa Decision Guide training. Feasibility was assessed by completion of sessions and questionnaires (predefined as ≥80%). Acceptability was determined through postintervention interviews and participants' ratings of their likelihood to recommend. Measures of effective decision support and caregiver and patient distress were collected at Twelve and Twenty four weeks.

RESULTS

Caregiver participants completed 78% of intervention sessions and 81% of questionnaires; patients completed 80% of questionnaires. Across conditions, average caregiver ratings for recommending the program to others was 9.9 on a scale from 1-Not at all likely to 10-Extremely likely. Individual CASCADE components were observed to have potential benefit for effective decision support and caregiver distress.

CONCLUSION

We successfully piloted a factorial trial design to examine components of a novel intervention to enhance the decision support skills of advanced cancer family caregivers. A fully-powered factorial trial is warranted.

KEY MESSAGE

We pilot tested components of CASCADE, an early palliative care decision support training intervention for family caregivers of patients with advanced cancer. CASCADE components were acceptable and the trial design feasible, providing promising future directions for palliative care intervention development and testing. Pilot results will inform a fully-powered trial.

The preparation phase in the multiphase optimization strategy (MOST): a systematic review and introduction of a reporting checklist

Multicomponent behavioral interventions developed using the multiphase optimization strategy (MOST) framework offer important advantages over alternative intervention development models by focusing on outcomes within constraints relevant for effective dissemination. MOST consists of three phases: preparation, optimization, and evaluation. The preparation phase is critical to establishing the foundation for the optimization and evaluation phases; thus, detailed reporting is critical to enhancing rigor and reproducibility. A systematic review of published research using the MOST framework was conducted. A structured framework was used to describe and summarize the use of MOST terminology (i.e., preparation phase and optimization objective) and the presentation of preparation work, the conceptual model, and the optimization. Fifty-eight articles were reviewed and the majority focused on either describing the methodology or presenting results of an optimization trial (n = 38, 66%). Although almost all articles identified intervention components (96%), there was considerable variability in the degree to which authors fully described other elements of MOST. In particular, there was less consistency in use of MOST terminology. Reporting on the MOST preparation phase is varied, and there is a need for increased focus on explicit articulation of key design elements and rationale of the preparation phase. The proposed checklist for reporting MOST studies would significantly advance the use of this emerging methodology and improve implementation and dissemination of MOST. Accurate reporting is essential to reproducibility and rigor of scientific trials as it ensures future research fully understands not only the methodology, but the rationale for intervention and optimization decisions.

Utilization of Nursing Defect Management Evaluation and Deep Learning in Nursing Process Reengineering Optimization

It was to explore the application of nursing defect management evaluation and deep learning in nursing process reengineering optimization. This study first selects the root cause analysis method to analyse the nursing defect management, then realizes the classification of data features according to the convolution neural network (CNN) in deep learning (DL) and uses the constructed training set and verification set to obtain the required plates and feature extraction. Based on statistical analysis and data mining, this study makes statistical analysis of nursing data from a macroperspective, improves Apriori algorithm through simulation, and analyses nursing data mining from a microperspective. The constructed deep learning model is used, CNN network training is conducted on the selected SVHN dataset, the required data types are classified, the data are analysed by using the improved Apriori algorithm, and nurses' knowledge of nursing process rules is investigated and analysed. The cognition of nursing staff on process optimization and their participation in training were analyzed, the defects in the nursing process were summarized, and the nursing process reengineering was analyzed. The results show that compared with Apriori algorithm, the running time difference of the improved Apriori algorithm is relatively small. With the increase of data recording times, the line trend of the improved algorithm gradually eases, the advantages gradually appear, and the efficiency of data processing is more obvious. The results showed that after the optimization of nursing process, the effect of long-term specialized nursing was significantly higher than that of long-term nursing. Health education was improved by 7.57%, clinical nursing was improved by 6.55%, ward management was improved by 9.85%, and service humanization was improved by 8.97%. In summary, the reoptimization of nursing process is conducive to reduce the defects in nursing. In the data analysis and rule generation based on deep learning network, the reoptimization of nursing process can provide reference for decision-making departments to improve long-term nursing, improve the quality and work efficiency of clinical nurses, and is worthy of clinical promotion.

Resilience, preparedness, and distress among family caregivers of patients with advanced cancer

OBJECTIVE

Resilience has been proposed as a primary factor in how many family caregivers of patients with advanced cancer are able to resist psychological strain and perform effectively in the role while bearing a high load of caregiving tasks. To evaluate this hypothesis, we examined whether self-perceived resilience is associated with distress (anxiety and depressive symptoms), caregiver preparedness, and readiness for surrogate decision-making among a racially diverse sample of family caregivers of patients with newly diagnosed advanced cancer.

METHODS

Secondary analysis of baseline data from two small-scale, pilot clinical trials that both recruited family caregivers of patients with newly diagnosed advanced cancer. Using multivariable linear regression, we analyzed relationships of resilience as a predictor of mood, caregiving preparedness, and readiness for surrogate decision-making, controlling for sociodemographics.

RESULTS

Caregiver participants (N = 112) were mean 56 years of age and mostly female (76%), the patient's spouse/partner (52%), and White (56%) or African-American/Black (43%). After controlling for demographics, standardized results indicated that higher resilience was relevantly associated with higher caregiver preparedness (beta = .46, p < .001), higher readiness for surrogate decision-making (beta = .20, p < .05) and lower anxiety (beta =  - .19, p < .05), and depressive symptoms (beta =  - .20, p < .05).

CONCLUSIONS

These results suggest that resilience may be critical to caregivers' abilities to manage stress, be effective sources of support to patients, and feel ready to make future medical decisions on behalf of patients. Future work should explore and clinicians should consider whether resilience can be enhanced in cancer caregivers to optimize their well-being and ability to perform in the caregiving and surrogate decision-making roles.

Examining Adherence and Dose Effect of an Early Palliative Care Intervention for Advanced Heart Failure Patients

CONTEXT

Research priority guidelines highlight the need for examining the "dose" components of palliative care (PC) interventions, such as intervention adherence and completion rates, that contribute to optimal outcomes.

OBJECTIVES

Examine the "dose" effect of PC intervention completion vs. noncompletion on quality of life (QoL) and healthcare use in patients with advanced heart failure (HF) over 32 weeks.

METHODS

Secondary analysis of the ENABLE CHF-PC intervention trial for patients with New York Heart Association (NYHA) Class III/IV HF. "Completers" defined as completing a single, in-person outpatient palliative care consultation (OPCC) plus 6 weekly, PC nurse coach-led telehealth sessions. "Non-completers" were defined as either not attending the OPCC or completing <6 telehealth sessions. Outcome variables were QoL and healthcare resource use (hospital days; emergency department visits). Mixed models were used to model dose effects for "completers" vs "noncompleters" over 32 weeks.

RESULTS

Of 208 intervention group participants, 81 (38.9%) were classified as "completers" with a mean age of 64.6 years; 72.8% were urban-dwelling; 92.5% had NYHA Class III HF. 'Completers' vs. "non-completers"" groups were well-balanced at baseline; however "noncompleters" did report higher anxiety (6.0 vs 7.0, P < 0.05, d = 0.28). Moderate, clinically significant, improved QoL differences were found at 16 weeks in "completers" vs. "non-completers" (between-group difference: -9.71 (3.18), d = 0.47, P = 0.002) but not healthcare use.

CONCLUSION

Higher intervention completion rates of an early PC intervention was associated with QoL improvements in patients with advanced HF. Future work should focus on identifying the most efficacious "dose" of intervention components and increasing adherence to them.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT02505425.

Using Process Indicators to Monitor Documentation of Patient-Centred Variables in an Integrated Oncology and Palliative Care Pathway-Results from a Cluster Randomized Trial

BACKGROUND

Despite robust evidence from randomized controlled trials (RCTs) demonstrating clinical and patient-reported benefits of integrated oncology and palliative care, the tumour-centred focus is predominant. This single-centre process evaluation monitors documentation of required patient-centred variables during an RCT.

METHODS

Performance status, patient self-reported symptoms, weight and summaries to general practitioners were assessed from June 2017 to July 2020 in three consultation types: first oncological after study inclusion and palliative and oncological consultations during chemotherapy. Descriptive statistics were used to monitor if the pre-defined program fulfilment of ≥85% documentation was reached.

RESULTS

435 consultations were monitored in 76 patients; 60.5% males, 86.8% with GI cancers; 76 (17.5%) were from the first oncological consultations, 87 (20.0%) and 272 (62.5%) from palliative or subsequent oncological consultations. Program fulfilment differed across consultation types with 94.8% in the palliative consultations (83.3-100%), relative to 65.8% (62.5-75.0%) and 69.2% (57.0-84.3%) for first and subsequent oncological consultations over time, respectively. Use of self-reported symptoms was consistently lower in the oncological consultations.

CONCLUSIONS

The documentation level of required core variables was not satisfactory, notwithstanding their high clinical relevance and continuous reminders during study. Pre-trial optimization strategies are paramount to promote integration and reduce professional and personal barriers towards a more patient-centred focus.