La teoría de las transiciones como paradigma de apoyo al automanejo en personas con condiciones crónicas / Transitions theory as a paradigm for supporting self-management in people with chronic conditions / A teoria das transições como paradigma para apoiar a autogestão em pessoas com condições crónicas

Resumen Introducción: La experiencia de vivir con una enfermedad crónica no es una tarea sencilla, se requiere de herramientas que permitan aumentar el grado de conciencia para enfrentar las necesidades y superar desafíos sobre el estado de salud y enfermedad. En los últimos años, se ha instaurado el apoyo al automanejo, con la finalidad de potenciar las habilidades en personas con este tipo de afecciones. Resulta trascendental considerar como desde enfermería se puede contribuir al logro de aquello. El objetivo del presente ensayo es reflexionar acerca de la teoría de las transiciones de Meléis como paradigma de apoyo al automanejo en personas con condiciones crónicas. Desarrollo: La teoría de las transiciones de Meléis establece que las personas están en constante cambio, tal como ocurre en el proceso de transición de salud-enfermedad. Recibir el diagnóstico de una enfermedad crónica, conlleva una serie de procesos complejos para la persona, debido a la multiplicidad de variables que ello implica. La teoría de Meléis entrega lineamientos para orientar a la persona profesional de enfermería sobre elementos claves e interrelacionados, como la concepción previa de la naturaleza de la transición y sus condiciones, lo que servirá para la planificación de modalidades de intervención congruentes con las experiencias de la persona y su evaluación en el transcurso del proceso de salud y enfermedad. Conclusión: El paradigma ofrecido por Meléis puede ser considerado un enfoque clave para emprender el proceso de cuidado de enfermería tendiente a apoyar a las personas con enfermedad crónica en el logro del automanejo.

Abstract Introduction: The experience of living with a chronic disease is not a simple task, since it requires tools that allow increasing the degree of awareness to face the needs and overcome challenges about the state of health and disease. In recent years, support for self-management has been established, with the aim of enhancing the skills of people with this type of condition. It is important to consider how the nursing discipline can contribute to achieve this. The aim of this paper is to reflect on Meléis' theory of transitions as a paradigm to support self-management in people with chronic conditions. Development: Meléis' theory of transitions establishes that people are in constant change, as occurs in the health-illness transition process. Receiving the diagnosis of a chronic disease involves a series of complex processes for the person, due to the multiplicity of variables involved. Meléis' theory provides guidelines to orient the nursing professional on key and interrelated elements, such as the previous conception of the nature of the transition and its conditions, which will serve for the planning of intervention modalities congruent with the person's experiences and their evaluation in the course of the health and disease process. Conclusion: The paradigm offered by Meléis can be considered a key approach to undertake the nursing care process aimed at supporting people with chronic illness in achieving self-management.

Resumo Introdução: A experiênca de viver com uma doença crônica não é uma tarefa simple, pois requer ferramentas que permitam aumentar o nível de consciência para enfrentar as necessidades e superar desafios relativos ao estado de saúde e doença. Nos últimos anos, foi estabelecido o apoio à autogestão, com o objetivo de melhorar as habilidades das pessoas com este tipo de condições. É transcendental considerar como a disciplina de Enfermagem pode contribuir para isso. O objetivo deste ensaio é refletir sobre a teoria das transições de Meleis como paradigma de apoio à autogestão em pessoas com condições crônicas. Desenvolvimento: A teoria das transições de Meléis estabelece que as pessoas estão em constante mudança, como acontece no processo de transição saúde-doença. Receber o diagnóstico de uma doença crónica implica uma série de processos complexos para a pessoa, devido à multiplicidade de variáveis envolvidas. A teoria de Meléis fornece directrizes para orientar o profissional de enfermagem sobre elementos-chave e inter-relacionados, como a conceção prévia da natureza da transição e das suas condições, que servirão para o planeamento de modalidades de intervenção congruentes com as experiências da pessoa e a sua avaliação no decurso do processo saúde-doença. Conclusão: O paradigma oferecido por Meleis pode ser considerado uma abordagem chave para empreender o processo de cuidado de enfermagem que visa apoiar as pessoas com doenças crônicas no alcance do autogerenciamento.

Oncology patients' willingness to report their medication safety concerns from home: a qualitative study.

PURPOSE: Oncology patients often struggle to manage their medications and related adverse events during transitions of care. They are expected to take an active role in self-monitoring and timely reporting of their medication safety events or concerns to clinicians. The purpose of this study was to explore the factors influencing oncology patients' willingness to report adverse events or concerns related to their medication after their transitions back home. METHODS: A qualitative interview study was conducted with adult patients with breast, prostate, lung, or colorectal cancer who experienced care transitions within the previous year. A semi-structured interview guide was developed to understand patients' perceptions of reporting mediation-related safety events or concerns from home. All interviews were conducted via phone calls, recorded, and transcribed for thematic data analysis. RESULTS: A total of 41 individuals participated in the interviews. Three main themes and six subthemes emerged, including patients' perceived relationship with clinicians (the quality of communication and trust in clinicians), perceived severity of adverse medication events (perceived severe vs. non-severe events), and patient activation in self-management (self-efficacy in self-management and engagement in monitoring health outcomes). CONCLUSION: The patient-clinician relationship significantly affects patients' reporting behaviors, which can potentially interact with other factors, including the severity of adverse events. It is important to engage oncology patients in medication safety self-reporting from home by enhancing health communication, understanding patients' perceptions of severe events, and promoting patient activation. By addressing these efforts, healthcare providers should adopt a more patient-centered approach to enhance the overall quality and safety of oncological care.

Understanding supported self-management for people living with a lower-grade glioma: Implementation considerations through the lens of normalisation process theory.

BACKGROUND: Supported self-management can improve clinical and psychosocial outcomes in people with cancer; the considerations required to implement self-management support (SMS) for people living with a lower-grade glioma (LGG)-who often have complex support needs-are not known. We aimed to identify and understand these implementation considerations through the lens of normalisation process theory (NPT), from the perspectives of healthcare professionals (HCP) and people with LGG. METHODS: We conducted semistructured interviews with HCPs who support adults with brain tumours (n = 25; 12 different healthcare professions), and people with LGG who had completed primary treatment (n = 28; male n = 16, mean age 54.6 years, mean time since diagnosis 8.7 years), from across the United Kingdom. Interviews were transcribed and inductive open coding conducted, before deductively mapping to constructs of NPT. We first mapped HCP data, then integrated data from people with LGG to explore alignment in experiences and perspectives. RESULTS: We generated supporting evidence for all four NPT constructs and related subconstructs, namely: 'Coherence', 'Cognitive participation', 'Collective action' and 'Reflexive monitoring'. Data from HCPs and people with LGG clearly demonstrated that effective SMS constitutes a collective activity. Key implementation considerations included: ensuring awareness of, and access to, support; building strong HCP-support recipient relationships; and careful inclusion of close family and friends. We identified pertinent challenges, such as identifying support needs (influenced by the extent to which those with LGG engage in help-seeking), resistance to support (e.g., technology literacy), training for HCPs and HCP cooperation. CONCLUSIONS: This study demonstrates the collective nature of, and provides insight into the individual roles within, supported self-management. We outline considerations to operationalise, sustain and appraise the implementation of SMS for people with LGG. PATIENT OR PUBLIC CONTRIBUTION: People with brain tumours, and informal caregivers, were involved in the development of information materials and topic guides to ensure accessibility and pertinence. They also had opportunities to comment on interview findings.

Cross-Cutting mHealth Behavior Change Techniques to Support Treatment Adherence and Self-Management of Complex Medical Conditions: Systematic Review.

Background: Mobile health (mHealth) interventions have immense potential to support disease self-management for people with complex medical conditions following treatment regimens that involve taking medicine and other self-management activities. However, there is no consensus on what discrete behavior change techniques (BCTs) should be used in an effective adherence and self-management-promoting mHealth solution for any chronic illness. Reviewing the extant literature to identify effective, cross-cutting BCTs in mHealth interventions for adherence and self-management promotion could help accelerate the development, evaluation, and dissemination of behavior change interventions with potential generalizability across complex medical conditions. Objective: This study aimed to identify cross-cutting, mHealth-based BCTs to incorporate into effective mHealth adherence and self-management interventions for people with complex medical conditions, by systematically reviewing the literature across chronic medical conditions with similar adherence and self-management demands. Methods: A registered systematic review was conducted to identify published evaluations of mHealth adherence and self-management interventions for chronic medical conditions with complex adherence and self-management demands. The methodological characteristics and BCTs in each study were extracted using a standard data collection form. Results: A total of 122 studies were reviewed; the majority involved people with type 2 diabetes (28/122, 23%), asthma (27/122, 22%), and type 1 diabetes (19/122, 16%). mHealth interventions rated as having a positive outcome on adherence and self-management used more BCTs (mean 4.95, SD 2.56) than interventions with no impact on outcomes (mean 3.57, SD 1.95) or those that used >1 outcome measure or analytic approach (mean 3.90, SD 1.93; P=.02). The following BCTs were associated with positive outcomes: self-monitoring outcomes of behavior (39/59, 66%), feedback on outcomes of behavior (34/59, 58%), self-monitoring of behavior (34/59, 58%), feedback on behavior (29/59, 49%), credible source (24/59, 41%), and goal setting (behavior; 14/59, 24%). In adult-only samples, prompts and cues were associated with positive outcomes (34/45, 76%). In adolescent and young adult samples, information about health consequences (1/4, 25%), problem-solving (1/4, 25%), and material reward (behavior; 2/4, 50%) were associated with positive outcomes. In interventions explicitly targeting medicine taking, prompts and cues (25/33, 76%) and credible source (13/33, 39%) were associated with positive outcomes. In interventions focused on self-management and other adherence targets, instruction on how to perform the behavior (8/26, 31%), goal setting (behavior; 8/26, 31%), and action planning (5/26, 19%) were associated with positive outcomes. Conclusions: To support adherence and self-management in people with complex medical conditions, mHealth tools should purposefully incorporate effective and developmentally appropriate BCTs. A cross-cutting approach to BCT selection could accelerate the development of much-needed mHealth interventions for target populations, although mHealth intervention developers should continue to consider the unique needs of the target population when designing these tools.

Effect of an in-hospital medication self-management intervention (SelfMED) on medication adherence in polypharmacy patients postdischarge: protocol of a pre-post intervention study.

INTRODUCTION: Healthcare providers usually manage medication for patients during hospitalisation, although patients are expected to self-manage their medication after discharge. A lack of self-management competencies is found to be associated with low adherence levels and medication errors harming patients' health. Currently, patients seldom receive support or education in medication self-management. When self-management is allowed during hospitalisation, it is rarely provided using a structured, evidence-based format. Therefore, an in-hospital medication self-management intervention (ie, SelfMED) was developed based on current evidence. To date, empirical data demonstrating the effect of SelfMED on medication adherence are lacking. This study primarily aims to evaluate the effect of the SelfMED intervention on medication adherence 2 months postdischarge in polypharmacy patients, as compared with usual care. METHODS AND ANALYSIS: A multicentre pre-post intervention study will be conducted. The study will start with a control phase investigating usual care (ie, medication management entirely provided by healthcare providers), followed by an intervention period, investigating the effects of the SelfMED intervention. SelfMED consists of multiple components: (1) a stepped assessment evaluating patients' eligibility for in-hospital medication self-management, (2) a monitoring system allowing healthcare providers to follow up medication management and detect problems and (3) a supportive tool providing healthcare providers with a resource to act on observed problems with medication self-management. Polymedicated patients recruited during the control and intervention periods will be monitored for 2 months postdischarge. A total of 225 participants with polypharmacy should be included in each group. Medication adherence 2 months postdischarge, measured by pill counts, will be the primary outcome. Secondary outcomes include self-management, medication knowledge, patient and staff satisfaction, perceived workload and healthcare service utilisation. ETHICS AND DISSEMINATION: The ethics committee of the Antwerp University Hospital approved the study (reference no: B3002023000176). Study findings will be disseminated through peer-reviewed publications, conference presentations and summaries in layman's terms. TRIAL REGISTRATION NUMBER: ISRCTN15132085.

Effectiveness of Applying Green Heart, a Smartphone-Based Self-management Intervention to Control Smoking: A Randomized Clinical Trial.

BACKGROUND: Cardiovascular diseases (CVDs) pose a significant global health concern and are the most common cause of death and disability, necessitating preventive interventions targeting modifiable risk factors. Recently, mobile-health technology has been developed to improve the delivery of cardiovascular prevention by risk factor modification. The "Green Heart" mobile application (app) was designed to aid in risk factor control among coronary artery disease (CAD) patients. METHODS: This parallel-group, single-blinded randomized controlled trial enrolled 1590 CAD patients, including 668 current smokers, randomly assigned to control (paper-based education) and intervention (application-based) groups. The app encompassed three modules targeting smoking cessation, dyslipidemia control, and blood pressure management. This study evaluated the impact of the smoking cessation module on behavioral change among current smokers. Green Heart assesses nicotine dependence, offering personalized quit plans, educational content, motivational messages, and automated progress tracking. The odds of smoking behavior changes during the 24-week follow-up underwent assessment. RESULTS: The intention-to-treat analysis highlighted significantly elevated rates of smoking cessation and reductions in the intervention group versus the control group. Adherence to the app (per-treatment analysis) also demonstrated significantly more favorable smoking behavior changes among the application users. Logistic regression emphasized higher odds of quitting and reduction in smoking in the application group, showing an odds ratio of 2.14 (95% CI: 1.16-3.97) compared to those not using the app (P=0.015). CONCLUSION: Our results confirmed that complete adherence to the app for at least 24 weeks was linked to alterations in cigarette smoking behavior among CAD patients. Trial Registration Number: IRCT20221016056204N1.

Tailored Self-Management App to Support Older Adults With Cancer and Multimorbidity: Development and Usability Testing.

BACKGROUND: Globally, cancer predominates in adults aged older than 60 years, and 70% of older adults have ≥1 chronic condition. Cancer self-management interventions can improve symptom management and confidence, but few interventions target the complex needs of older adults with cancer and multimorbidity. Despite growing evidence of digital health tools in cancer care, there is a paucity of theoretically grounded digital self-management supports for older adults. Many apps for older adults have not been co-designed with older adults to ensure that they are tailored to their specific needs, which would increase usability and uptake. OBJECTIVE: We aim to report on the user evaluations of a self- and symptom-management app to support older adults living with cancer and multimorbidity. METHODS: This study used Grey's self-management framework, a design thinking approach, and involved older adults with lived experiences of cancer to design a medium-fidelity app prototype. Older adults with cancer or caregivers were recruited through community organizations or support groups to participate in co-designing or evaluations of the app. Data from interviews were iteratively integrated into the design process and analyzed using descriptive statistics and thematic analyses. RESULTS: In total, 15 older adults and 3 caregivers (n=18) participated in this study: 10 participated (8 older adults and 2 caregivers) in the design of the low-fidelity prototype, and 10 evaluated (9 older adults and 1 caregiver) the medium-fidelity prototype (2 older adults participated in both phases). Participants emphasized the importance of tracking functions to make sense of information across physical symptoms and psychosocial aspects; a clear display; and the organization of notes and reminders to communicate with care providers. Participants also emphasized the importance of medication initiation or cessation reminders to mitigate concerns related to polypharmacy. CONCLUSIONS: This app has the potential to support the complex health care needs of older adults with cancer, creating a "home base" for symptom management and support. The findings from this study will position the researchers to conduct feasibility testing and real-world implementation.

The effects of common-sense model interventions on cancer patients: A systematic review.

BACKGROUND: From the time of new diagnosis to treatment, cancer patients experience a variety of health problems that can affect the patient's health outcomes. Individuals with cancer are being given increasing responsibility for the self-management of their health and illness. The self-regulating common-sense model (CSM) is effective in patients' disease management. This article briefly introduces the common-sense model intervention, in which patients with cancer are affected by these interventions, what they are about, and what effects they have. METHODS: The authors systematically review evidence for the common-sense model of self-regulation for cancer using Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines. Based on a comprehensive literature search, we searched the Cochrane Library, PsycINFO, Embase, PubMed, Medline, CINAHL, CNKI, and WanFang databases. The included studies underwent a quality assessment using the Effective Public Health Practice Project (EPHPP). RESULTS: Eleven empirical studies illustrated the aspects of common-sense model interventions for cancer patients. It is concluded that common-sense model intervention has an effect on symptoms in cancer treatment, behavior, and quality of life, but more studies are needed to verify the use of common-sense model intervention to explore in patients with different cancers. The systematic review summarized a four-point paradigm about intervention content, including assessing the current situation, setting goals, having a disease education and psychological adjustment, and getting feedback for further response. However, the application of intervention requires specific analysis of patient behavior and outcomes. CONCLUSION: Common-sense model interventions are beneficial for the self-management of cancer patients; however, more intervention studies are needed to specify the cognitive, emotional, and coping styles of people with a particular cancer.

Perceived control, self-management efficacy, and quality of life in patients treated with radiation therapy for breast cancer: a longitudinal study.

OBJECTIVE: This longitudinal study aims to examine the present state of perceived control, self-management efficacy, and overall quality of life (QoL) in patients with breast cancer undergoing radiotherapy, and gain insight into the dynamic trends and factors that influence the quality of life experienced by patients during the course of radiotherapy. METHODS: Participants completed the Cancer Experience and Efficacy Scale (CEES), Strategies Used by People to Promote Health (SUPPH), and Functional Assessment of Cancer Therapy- Breast (FACT-B). The data was analyzed using the software SPSS26.0. Repeated measures analysis of variance (ANOVA) and mixed-effects linear models were used to analyze trends in perceived control, self-management efficacy, and QoL at three-time points, as well as factors affecting QoL during radiotherapy. RESULTS: Perceived control and self-management efficacy were associated with QoL over the course of the radiotherapy. Self-management efficacy (ß = 0.30, P < 0.001), presence of chemotherapy (ß = 18.33, P = 0.024), and duration of illness (ß = 2.25, P = 0.028) had a positive effect on the change in QoL, while time (ß = - 2.95, P < 0.001), cancer experience (ß = - 0.46, P < 0.001), and type of medical insurance (ß = - 2.77, P = 0.021) had the negative effect on the change in QoL. CONCLUSION: The QoL, perceived control, and self-efficacy of patients with breast cancer show dynamic changes during radiotherapy. The higher the self-efficacy, the better the QoL, and the worse the QoL when the sense of disease control is poor. At the same time, more attention should be paid to the QoL of breast cancer radiotherapy patients with a long course of the disease, receiving chemotherapy, and different medical payment methods.

Comparison of self-management and spa therapy for upper-extremity musculoskeletal disorders: A randomized controlled trial.

BACKGROUND: Musculoskeletal disorders (MSDs) are common in the workplace and are a public health issue. Persistent pain despite conservative treatment or surgery may lead to poor long-term outcomes. OBJECTIVE: To compare the effect of a combined 6-day program of exercise, self-management workshops and spa therapy with self-management on functional capacity in personal and professional daily life at 3 months in people with musculoskeletal disorders. METHODS: We conducted a prospective, randomized controlled trial. Participants were employed (any type of work) and aged between 18 and 65 years, with latent or symptomatic upper extremity MSDs, with or without a history of sick leave. They were randomized to participate in 6 days (2 h per day) of spa therapy, exercise, and self-management workshops immediately (intervention) or at 3 months (control). The control group performed self-management until 3 months. The primary outcome was the score on the self-reported Quick Disability of Arm-Shoulder-Hand (QuickDASH) at 3 months. The primary analysis was conducted using analysis of covariance with baseline QuickDASH score as the covariate. RESULTS: In total, 150 participants were randomized (85 % women): 78 to the control group and 72 to the intervention group. At 3 months, the QuickDASH total and work scores did not differ between groups (effect-size [ES] = -0.15, 95 %CI, -0.38 to 0.09, p = 0.215, and ES = -0.11, 95 % CI, -0.35 to 0.12, p = 0.343). However, QuickDASH sport/performing arts score was significantly different between randomization groups at 3 months (ES =-0.25, 95 % CI, -0.48 to -0.02, p = 0.035). CONCLUSIONS: This study provided no evidence in favor of a short-course, personalized self-management, intensive spa therapy intervention over self-management alone for the management of upper-extremity MSDs. TRIAL REGISTRATION: ClinicalTrials.gov (NCT02702466) retrospectively registered.

Using the Behaviour Change Wheel to identify barriers and targeted strategies to improve adherence in randomised clinical trials: The example of MEL-SELF trial of patient-led surveillance for melanoma.

BACKGROUND: Adherence to self-management interventions is critical in both clinical settings and trials to ensure maximal effectiveness. This study reports how the Behaviour Change Wheel may be used to assess barriers to self-management behaviours and develop strategies to maximise adherence in a trial setting (the MEL-SELF trial of patient-led melanoma surveillance). METHODS: The Behaviour Change Wheel was applied by (i) using the Capability, Opportunity, Motivation-Behaviour (COMB) model informed by empirical and review data to identify adherence barriers, (ii) mapping identified barriers to corresponding intervention functions, and (iii) identifying appropriate behaviour change techniques and developing potential solutions using the APEASE (Affordability, Practicability, Effectiveness and cost-effectiveness, Acceptability, Side-effects and safety, Equity) criteria. RESULTS: The target adherence behaviour was defined as conducting a thorough skin self-examination and submitting images for teledermatology review. Key barriers identified included: non-engaged skin check partners, inadequate planning, time constraints, low self-efficacy, and technological difficulties. Participants' motivation was positively influenced by perceived health benefits and negatively impacted by emotional states such as anxiety and depression. We identified the following feasible interventions to support adherence: education, training, environmental restructuring, enablement, persuasion, and incentivisation. Proposed solutions included action planning, calendar scheduling, alternative dermatoscopes, optimised communication, educational resources in various formats to boost self-efficacy and motivation and optimised reminders (which will be evaluated in a Study Within A Trial (SWAT)). CONCLUSION: The Behaviour Change Wheel may be used to improve adherence in clinical trials by identifying barriers to self-management behaviours and guiding development of targeted strategies.

The effectiveness of chronic disease management planning on self-management among patients with diabetes at general practice settings in Australia: a scoping review.

BACKGROUND: Medicare provides significant funding to improve, encourage and coordinate better practices in primary care. Medicare-rebated Chronic Disease Management (CDM) plans are a structured approach to managing chronic diseases in Australia. These chronic disease care plans are intended to be a vehicle to deliver guideline-based / evidence-based care.. However, recommended care is not always provided, and health outcomes are often not achieved. This scoping review aimed to identify the specific components of CDM plans that are most effective in promoting self-management, as well as the factors that may hinder or facilitate the implementation of these plans in general practice settings in Australia. METHOD: A comprehensive search was conducted using multiple electronic databases, considering inclusion and exclusion criteria. Two reviewers independently screened the titles and abstracts of the identified studies via Covidence, and the full texts of eligible studies were reviewed for inclusion. A data extraction template was developed based on the Cochrane Effective Practice and Organization of Care Group (EPOC) to classify the intervention methods and study outcomes. A narrative synthesis approach was used to summarize the findings of the included studies. The quality of the included studies was assessed using the JBI Critical Appraisal Checklist. RESULTS: Seventeen articles were included in the review for analysis and highlighted the effectiveness of CDM plans on improving patient self-management. The findings demonstrated that the implementation of CDM plans can have a positive impact on patient self-management. However, the current approach is geared towards providing care to patients, but there are limited opportunities for patients to engage in their care actively. Furthermore, the focus is often on achieving the outcomes outlined in the CDM plans, which may not necessarily align with the patient's needs and preferences. The findings highlighted the significance of mutual obligations and responsibilities of team care for patients and healthcare professionals, interprofessional collaborative practice in primary care settings, and regular CDM plan reviews. CONCLUSION: Self-management support remains more aligned with a patient-centred collaboration approach and shared decision-making and is yet to be common practice. Identifying influential factors at different levels of patients, healthcare professionals, and services affecting patients' self-management via CDM plans can be crucial to developing the plans.

A RCT to explore the effectiveness of supporting adherence to nebuliser medication in adults with cystic fibrosis: fidelity assessment of study interventions.

BACKGROUND: A multi-component self-management intervention 'CFHealthHub' was developed to reduce pulmonary exacerbations in adults with Cystic Fibrosis (CF) by supporting adherence to nebuliser medication. It was evaluated in a randomized controlled trial (RCT) involving 19 CF centres, with 32 interventionists, 305 participants in the intervention group, and 303 participants in the standard care arm. Ensuring treatment fidelity of intervention delivery was crucial to ensure that the intervention produced the expected outcomes. METHODS: Fidelity of the CFHealthHub intervention and standard care was assessed using different methods for each of the five fidelity domains defined by the Borrelli framework: study design, training, treatment delivery, receipt, and enactment. Study design ensured that the groups received the intended intervention or standard care. Interventionists underwent training and competency assessments to be deemed certified to deliver the intervention. Audio-recorded intervention sessions were assessed for fidelity drift. Receipt was assessed by identifying whether participants set Action and Coping Plans, while enactment was assessed using click analytics on the CFHealthHub digital platform. RESULTS: Design: There was reasonable agreement (74%, 226/305) between the expected versus actual intervention dose received by participants in the CFHealthHub intervention group. The standard care group did not include focused adherence support for most centres and participants. Training: All interventionists were trained. Treatment delivery: The trial demonstrated good fidelity (overall fidelity by centre ranged from 79 to 97%), with only one centre falling below the mean threshold (> 80%) on fidelity drift assessments. Receipt: Among participants who completed the 12-month intervention, 77% (205/265) completed at least one action plan, and 60% (160/265) completed at least one coping plan. Enactment: 88% (268/305) of participants used web/app click analytics outside the intervention sessions. The mean (SD) number of web/app click analytics per participant was 31.2 (58.9). Additionally, 64% (195/305) of participants agreed to receive notifications via the mobile application, with an average of 53.6 (14.9) notifications per participant. CONCLUSIONS: The study demonstrates high fidelity throughout the RCT, and the CFHealthHub intervention was delivered as intended. This provides confidence that the results of the RCT are a valid reflection of the effectiveness of the CFHealthHub intervention compared to standard care. TRIAL REGISTRATION: ISRCTN registry: ISRCTN55504164 (date of registration: 12/10/2017).

What factors contribute to cancer survivors' self-management skills? A cross-sectional observational study.

PURPOSE: Many cancer survivors, facing the consequences of their disease and its treatment, have medical and supportive aftercare needs. However, limited knowledge exists regarding the relationship between support needs and survivors' self-management skills. The study aim is to explore factors contributing to cancer survivors' self-management skills. METHODS: A cross-sectional study was conducted among cancer survivors (n = 277) of two outpatient oncology clinics at a university hospital in the Netherlands. Patients with head and neck cancer (n = 55) who had received radiotherapy and cisplatin or cetuximab were included, as well as patients who had undergone hematopoietic stem cell transplantation (n = 222). The primary outcome was self-management skills, assessed using the Partners in Health Scale (PIH), which comprises two subscales: knowledge and coping (PIH-KC), and recognition and management of symptoms, and adherence to treatment (PIH-MSA). Secondary outcomes were quality of life (EORTC QLQ-C30), self-efficacy (SECD6), patient-centered care (CAPHS), and social support (HEIQ). Machine learning-based Random Forest models were employed to construct associative models. Feature Importance (FI) was used to express the contribution to the model. RESULTS: High emotional quality of life (FI = 33.1%), increased self-efficacy (FI = 22.2%), and greater social support (FI = 18.2%) were identified as key factors contributing to cancer survivors' self-management knowledge (PIH-KC). Furthermore, greater support from professionals (FI = 36.1%) and higher self-efficacy (FI = 18.2%) were found to benefit participants' recognition and management, and therapy adherence (PIH-MSA). CONCLUSIONS: A patient-centered relationship between nurses and cancer survivors is essential for therapy adherence and the management of aftercare needs. Training to provide this holistic self-management support is required.

Improving image classification of gastrointestinal endoscopy using curriculum self-supervised learning.

Endoscopy, a widely used medical procedure for examining the gastrointestinal (GI) tract to detect potential disorders, poses challenges in manual diagnosis due to non-specific symptoms and difficulties in accessing affected areas. While supervised machine learning models have proven effective in assisting clinical diagnosis of GI disorders, the scarcity of image-label pairs created by medical experts limits their availability. To address these limitations, we propose a curriculum self-supervised learning framework inspired by human curriculum learning. Our approach leverages the HyperKvasir dataset, which comprises 100k unlabeled GI images for pre-training and 10k labeled GI images for fine-tuning. By adopting our proposed method, we achieved an impressive top-1 accuracy of 88.92% and an F1 score of 73.39%. This represents a 2.1% increase over vanilla SimSiam for the top-1 accuracy and a 1.9% increase for the F1 score. The combination of self-supervised learning and a curriculum-based approach demonstrates the efficacy of our framework in advancing the diagnosis of GI disorders. Our study highlights the potential of curriculum self-supervised learning in utilizing unlabeled GI tract images to improve the diagnosis of GI disorders, paving the way for more accurate and efficient diagnosis in GI endoscopy.

An exploration of the experiences and self-generated strategies used when navigating everyday life with Long Covid.

BACKGROUND: Around one in ten people who contract Covid-19 report ongoing symptoms or 'Long Covid'. Without any known interventions to cure the condition, forms of self-management are routinely prescribed by healthcare professionals and described by people with the condition. However, there is limited research exploring what strategies are used to navigate everyday life with Long Covid, and experiences that initiate development of these strategies. Our study aimed to explore the range and influence of self-generated strategies used by people with Long Covid to navigate everyday life within the context of their own condition. METHODS: Forming part of the Long Covid Personalised Self-managemenT support co-design and EvaluatioN (LISTEN) project, we conducted a qualitative study using narrative interviews with adults who were not hospitalised with Covid-19. Participants aged over 18 years, who self-identified with Long Covid, were recruited from England and Wales. Data were analysed with patient contributors using a reflexive thematic analysis. RESULTS: Eighteen participants (mean age = 44 years, SD = 13 years) took part in interviews held between December 2021 and February 2022. Themes were constructed which depicted 1) the landscape behind the Long Covid experience and 2) the everyday experience of participants' Long Covid. The everyday experience comprised a combination of physical, emotional, and social factors, forming three sub-themes: centrality of physical symptoms, navigating 'experts' and the 'true colour' of personal communities, and a rollercoaster of psychological ambiguity). The third theme, personal strategies to manage everyday life was constructed from participants' unique presentations and self-generated solutions to manage everyday life. This comprised five sub-themes: seeking reassurance and knowledge, developing greater self-awareness through monitoring, trial and error of 'safe' ideas, building in pleasure and comfort, and prioritising 'me'. CONCLUSIONS: Among this sample of adults with Long Covid, their experiences highlighted the unpredictable nature of the condition but also the use of creative and wide ranging self-generated strategies. The results offer people with Long Covid, and healthcare professionals supporting them, an overview of the collective evidence relating to individuals' self-management which can enable ways to live 'better' and regain some sense of identity whilst facing the impact of a debilitating, episodic condition. TRIAL REGISTRATION: LISTEN ISRCTN36407216.

Young people's priorities for the self-management of distress after stoma surgery due to inflammatory bowel disease: A consensus study using online nominal group technique.

INTRODUCTION: The aim of this study was to gain consensus among young people with a stoma due to inflammatory bowel disease (IBD) on the priorities for the content of an intervention for the self-management of stoma-related distress. The current identification and management of distress in young people with a stoma is often suboptimal in clinical settings and there is a need for improved support resources. METHODS: Two consensus group meetings were carried out via online video conferencing, using nominal group technique. Participants generated, rated on a Likert scale and discussed, topics for inclusion in a future self-management intervention. RESULTS: Nineteen young people, aged 19-33, with a stoma due to IBD took part in one of two group meetings. Participants were located across England, Scotland, and Northern Ireland. Twenty-nine topics were generated by participants, seven of which reached consensus of ≥80%, that is, a mean of ≥5.6 on a 7-point Likert scale. These were: receiving advice from young people with lived experience of stoma surgery; advice on/addressing concerns about romantic relationships, sex and intimacy; information about fertility and pregnancy related to stoma surgery; stoma 'hacks', for example, useful everyday tips regarding clothing, making bag changes easier and so forth; reflecting on and recognising own emotional response to surgery; tips on managing the stoma during the night; and processing trauma related to the illness and surgery journey. CONCLUSIONS: Findings extend previous research on young people's experiences of stoma surgery, by generating consensus on young people's priorities for managing distress related to surgery and living with a stoma. These priorities include topics not previously reported in the literature, including the need for information about fertility and pregnancy. Findings will inform the development of a self-management resource for young people with an IBD stoma and have relevance for the clinical management of stoma-related distress in this population. PATIENT OR PUBLIC CONTRIBUTION: Three patient contributors are co-authors on this paper, having contributed to the study design, interpretation of results and writing of the manuscript. The study's Patient and Public Involvement and Engagement advisory group also had an integral role in the study. They met with the research team for four 2-h virtual meetings, giving input on the aims and purpose of the study, recruitment methods, and interpretation of findings. The group also advised on the age range for participants. The views of young people with a stoma are the central component of the study reported in this paper, which aims to gain consensus among young people with an IBD stoma on their priorities for the content of a resource to self-manage distress related to stoma surgery.

Quality appraisal and descriptive analysis of clinical practice guidelines for self-managed non-pharmacological interventions of cardiovascular diseases: a systematic review.

BACKGROUND: Cardiovascular diseases (CVDs) are the leading cause of death around the world. Most CVDs-related death can be prevented by the optimal management of risk factors such as unhealthy diet and physical inactivity. Clinical practice guidelines (CPGs) for CVDs, provide some evidence-based recommendations which help healthcare professionals to achieve the best care for patients with CVDs. This systematic review aims to appraise the methodological quality of CPGs systematically and summarize the recommendations of self-managed non-pharmacological interventions for the prevention and management of CVDs provided by the selected guidelines. METHODS: A comprehensive electronic literature search was conducted via six databases (PubMed, Medline, The Cochrane Library, Embase, CINAHL, and Web of Science), seven professional heart association websites, and nine guideline repositories. The Appraisal of Guidelines, Research and Evaluation II (AGREE II) instrument was adopted to critically appraise the methodological quality of the selected guidelines. Content analysis was used to summarise recommended self-managed non-pharmacological interventions for CVDs. RESULTS: Twenty-three CPGs regarding different CVDs were included, in which four guidelines of CVDs, three for coronary heart diseases, seven for heart failure, two for atrial fibrillation, three for stroke, three for peripheral arterial disease, and one for hypertrophic cardiomyopathy. Twenty CPGs were appraised as high quality, and three CPGs as moderate quality. All twenty-three CPGs were recommended for use with or without modification. The domain of "Editorial Independence" had the highest standardized percentage (93.47%), whereas the domain of "Applicability" had the lowest mean domain score of 75.41%. The content analysis findings summarised some common self-managed non-pharmacological interventions, which include healthy diet, physical activity, smoking cessation, alcohol control, and weight management. Healthy diet and physical acidity are the most common and agreed on self-managed interventions for patients with CVDs. There are some inconsistencies identified in the details of recommended interventions, the intervention itself, the grade of recommendation, and the supported level of evidence. CONCLUSION: The majority of the summarized non-pharmacological interventions were strongly recommended with moderate to high-quality levels of evidence. Healthcare professionals and researchers can adopt the results of this review to design self-managed non-pharmacological interventions for patients with CVDs.

Patient symptoms, self-management, and unscheduled healthcare use during the first 6 months of targeted oral anticancer agent therapy: protocol for a mixed-methods US study.

INTRODUCTION: Targeted oral anticancer agents (OAAs) are increasingly used to treat cancer, including haematological malignancies and ovarian cancer, but they can cause serious symptomatic side effects such as arrhythmias, hypertension, and hyperglycaemia. Unaddressed OAA symptoms or inadequately managed symptoms may also lead to unnecessary and unscheduled healthcare use that decreases patient quality of life and financially burdens both patients and the healthcare system. Limited information is available about patient symptoms, self-management behaviours, and use of healthcare services over time while taking targeted OAAs, but is needed to ensure successful OAA therapy. The primary objective is to understand patient experiences and behaviours on initiating targeted OAA, and elicit cancer care clinicians' (ie, physicians, advanced practice practitioners, nurses, and pharmacists) perspectives on supporting patients during therapy. Study results will inform comprehensive and realistic interventions that minimise disruptions to therapy while maximising quality of life. METHODS AND ANALYSIS: We will conduct a remote single-arm, convergent-parallel mixed-methods cohort study within a large academic medical centre. A minimum of 60 patients will be enrolled. Patients will complete several validated patient-reported outcome measures at six timepoints over 6 months. Mixed-effects logistic regression will be used to predict the primary binary outcome of unscheduled healthcare use by patient self-efficacy for symptom self-management. Semistructured interviews will be conducted with patients and clinicians and thematically analysed. Triangulated quantitative and qualitative results will be reported using cross-case comparison joint display. ETHICS AND DISSEMINATION: This study protocol is approved by the Institutional Review Board of University of Michigan Medical School (IRBMED). Study results will be published in peer-reviewed journals, presented at conferences, and disseminated to study participants.

Cluster-based histopathology phenotype representation learning by self-supervised multi-class-token hierarchical ViT.

Developing a clinical AI model necessitates a significant amount of highly curated and carefully annotated dataset by multiple medical experts, which results in increased development time and costs. Self-supervised learning (SSL) is a method that enables AI models to leverage unlabelled data to acquire domain-specific background knowledge that can enhance their performance on various downstream tasks. In this work, we introduce CypherViT, a cluster-based histo-pathology phenotype representation learning by self-supervised multi-class-token hierarchical Vision Transformer (ViT). CypherViT is a novel backbone that can be integrated into a SSL pipeline, accommodating both coarse and fine-grained feature learning for histopathological images via a hierarchical feature agglomerative attention module with multiple classification (cls) tokens in ViT. Our qualitative analysis showcases that our approach successfully learns semantically meaningful regions of interest that align with morphological phenotypes. To validate the model, we utilize the DINO self-supervised learning (SSL) framework to train CypherViT on a substantial dataset of unlabeled breast cancer histopathological images. This trained model proves to be a generalizable and robust feature extractor for colorectal cancer images. Notably, our model demonstrates promising performance in patch-level tissue phenotyping tasks across four public datasets. The results from our quantitative experiments highlight significant advantages over existing state-of-the-art SSL models and traditional transfer learning methods, such as those relying on ImageNet pre-training.