Nature-based supportive care opportunities: A conceptual framework

Objective: Given preliminary evidence for positive health outcomes related to contact with nature for cancer populations, research is warranted to ascertain possible strategies for incorporating nature-based care opportunities into oncology contexts as additional strategies for addressing multidimensional aspects of cancer patients’ health and recovery needs. The objective of this study was to consolidate existing research related to nature-based supportive care opportunities and generate a conceptual framework for discerning relevant applications in the supportive care setting. Methods: Drawing on research investigating nature-based engagement in oncology contexts, a two-step analytic process was used to construct a conceptual framework for guiding nature-based supportive care design and future research. Concept analysis methodology generated new representations of understanding by extracting and synthesising salient concepts. Newly formulated concepts were transposed to findings from related research about patient-reported and healthcare expert-developed recommendations for nature-based supportive care in oncology. Results: Five theoretical concepts (themes) were formulated describing patients’ reasons for engaging with nature and the underlying needs these interactions address. These included: connecting with what is genuinely valued, distancing from the cancer experience, meaning-making and reframing the cancer experience, finding comfort and safety, and vital nurturance. Eight shared patient and expert recommendations were compiled, which address the identified needs through nature-based initiatives. Eleven additional patient-reported recommendations attend to beneficial and adverse experiential qualities of patients’ nature-based engagement and complete the framework. Conclusions: The framework outlines salient findings about helpful nature-based supportive care opportunities for ready access by healthcare practitioners, designers, researchers and patients themselves

Audio-recording cancer consultations for patients and their families—putting evidence into practice

This chapter aims to briefly review the empirical literature on the value of consultation audio-recordings for patients and families; conduct a theory-driven examination of the factors that limit practice uptake of this intervention; and provide practical suggestions for how these factors might best be addressed to enhance clinical uptake of consultation audio-recording use. The Promoting Action on Research Implementation in Health Services (PARIHS) Framework is used to examine the impact of scientific evidence, context-specific factors, and facilitation principles, as these pertain to the uptake of consultation audio-recording in practice. Important considerations in efforts to implement a consultation audio-recording service are provided, including leadership, perceived value and benefit, resource costs, technological practicalities, litigation concerns, and staff training and support. Both top-down and bottom-up approaches to implementation are recommended to enhance the likelihood of successful uptake into practice

Dose–response effect of a whey protein preload on within-day energy intake in lean subjects

The effect of consuming different amounts of whey protein on appetite and energy intake was investigated in two separate studies using randomised, crossover designs. Healthy-weight men and women (range: BMI 19·0–25·0 kg/m2, age 19·4–40·4 years) consumed one of four 400 ml liquid preloads, followed by an ad libitum test meal 90 min later. In study 1, preloads were 1675 kJ with 12·5, 25 or 50 % of energy from protein, and in study 2, preloads were 1047 kJ with 10, 20 or 40 % energy from protein. Flavoured water was used as the control in both the studies. Appetite ratings were collected immediately before 30, 60 and 90 min after consuming the preloads; and immediately, 30 and 60 min after consuming the test meal. In study 1, energy intake following the control preload (4136 (sem 337) kJ) was significantly higher than each of the 12·5 % (3520 (sem 296) kJ), 25 % (3384 (sem 265) kJ) and 50 % (2853 (sem 244) kJ) protein preloads (P < 0·05). Intake after the 12·5 % preload was significantly higher than following 25 and 50 % preloads (P < 0·05). In study 2, energy intake following the control preload (4801 (sem 325) kJ) was higher than following the 10 % (4205 (sem 310) kJ), 20 % (3988 (sem 250) kJ) and 40 % (3801 (sem 245) kJ) protein preloads (P < 0·05). There were no differences in subjective appetite ratings between preloads in either study. These findings indicate a dose–response effect of protein content of the preload on energy intake at a subsequent meal

The trials and tribulations of conducting an m-health pilot randomized controlled trial to improve oral cancer therapy adherence: recommendations for future multisite, non-drug clinical trials

Abstract Objective Integrating mobile phone-based health (m-health) interventions into healthcare systems is one solution to improve access to services for the growing number of patients with chronic illness. Practical challenges such as poor recruitment and inadequate resource allocation can hamper the assessment of such interventions with clinical trial methodology. This paper highlights the challenges encountered during a pilot randomized controlled trial of an m-health medication adherence intervention and offers recommendations for future multi-site, non-drug clinical trials. Results Eighteen patients were recruited to the study; eight were randomly allocated to the intervention arm. Intervention participants responded to their daily medication-reminder text messages, indicating that medication had been taken or not, and nurses were able to organize their calls around their workload. The trial closed prematurely primarily due to inadequate numbers of eligible patients; however, other potentially resolvable feasibility issues were identified. These included lack of infrastructure at study sites, poor screening data acquisition and management processes, and inexperience in conducting supportive care trials at participating sites. M-health intervention trials are designed to inform implementation of best supportive care practice. Adequate skills and infrastructure are research prerequisites that require careful consideration and sufficient investment for the successful execution of multi-site supportive care trials. Trial registration Australian and New Zealand Clinical Trials Register: ACTRN1261200063586

Using Task Technology Fit Theory to Guide the Codesign of Mobile Clinical Decision Support Systems

A clinical decision support system (CDSS) is designed to assist health professionals in perioperative patient management. Robust CDSSs are vital to deliver enhanced healthcare services. Incorporating the latest advancements in digital technologies, mobile device based CDSSs are being introduced to healthcare settings at a considerable pace. However, given the nascency of this tech-health synergy, well-defined systematic approaches to be followed to design and develop mobile CDSSs to ensure developed technological solutions are of best fit-for-purpose, are lacking. To address this void, this study proposes an approach combining Task Technology Fit theory and Design Science Research Methodology, to guide the design and development of mobile CDSSs. The proposed approach is applied to a case study to design a mobile CDSS to assist perioperative optimization of surgery patients. The learnings from the case study are reported

Supporting and preparing patients for radiotherapy: Patients’ and radiation therapists’ perspectives on their one-to-one consultations

OBJECTIVE: Patients are often anxious and lack knowledge of radiotherapy prior to commencing treatment. Evidence-based interventions are required to reduce patient anxiety and increase patient preparation before treatment. This study is part of a larger project examining the effectiveness of an innovative preparatory intervention "RT Prepare," to reduce patient psychological distress prior to treatment for breast cancer. This study aimed to explore patients' and RTs' perceptions about the "RT Prepare" intervention and was conducted to assist with refinement of the intervention for future implementation. METHODS: Semi-structured interviews were conducted with patients and radiation therapists (RTs) to elicit their perspectives on the "RT Prepare" intervention. Thematic analysis was used to analyse the data. RESULTS: Telephone interviews were conducted with 21 patients who had received the intervention and 15 RTs who had delivered the intervention. Patients and RTs described the intervention positively and highlighted that it was beneficial for preparing patients for treatment planning and treatment. The overarching themes were communication skills; preparation; information provision and dedicated space and time. CONCLUSION: RT Prepare was well received by patients and RTs. Practice implications Based on the results of this study and our quantitative findings, implementation of the intervention would be beneficial for both patients and RTs

Training oncology physicians to advise their patients on complementary and integrative medicine: An implementation study for a manual‐guided consultation

Background: The unmonitored use of complementary medicine in patients with cancer can be associated with an increased risk of safety-related issues, such as lower adherence to conventional cancer therapies. Training oncology physicians to advise their patients about the effectiveness and safety of these therapies could improve this situation. Methods: The objective of this study was to develop and pretest a consultation framework that has high potential to be widely implemented. The framework comprises: 1) a systematically developed and tested, manualized, guided consultation; and 2) blended learning training (e-learning and communication skills training workshop) to upskill oncology physicians in advising their patients on complementary and integrative medicine (CIM). For this implementation study, mixed methods were used to develop the manual (literature review, consensus procedure, pilot testing) and the training (questionnaires and interviews with oncology physicians and patients with cancer and an examination of the skills in a setting with standardized patients). Results: The training was tested with 47 oncology physicians from across Germany. The manual-guided consultation (context: general information on the setting and communication techniques; inform: consultation duration and content; capture: previous CIM use; prioritize: focus on consultation; advise: evidence-based CIM recommendations; discuss, advise, accept, or advise against other CIM; concretize advice: summary and implementation; and monitor: documentation) was considered suitable. The structure and time frame (maximum, 20 minutes) of the consultation as well as the training were feasible and well accepted. Conclusions: The current study demonstrates that the KOKON-KTO framework (a German acronym for Competence Network for Complementary Medicine - Consultation Training for Oncology Physicians) is suitable for training oncology physicians. Its implementation can lead to better physician-patient communication about CIM in cancer

Measuring recall of medical information in non-English-speaking people with cancer: A methodology

Background Many patients who require an interpreter have difficulty remembering information from their medical consultations. Memory aids such as consultation audio-recordings may be of benefit to these patients. However, there is no established means of measuring patients’ memory of medical information. Objectives This study aimed to develop a method for eliciting and coding recall of medical information in non-English-speaking patients. Design This method, called Patient-Interpreter-Clinician coding (PICcode), was developed in the context of a phase II trial conducted in two outpatient oncology clinics in Melbourne, Australia, and was refined iteratively through consultation with an expert panel and piloting. Between-coder differences in early versions of the coding system were resolved through discussion and consensus resulting in refinements to PICcode. Results The final version of PICcode involved transcribing, translating and coding of audio-recorded consultations and semi-structured interviews (SSI). The SSIs were designed to elicit patients’ free-recall of medical information. Every unit of medical information in the consultation was identified and categorized in a coding tree. SSIs were coded to identify the extent to which information was recalled from the consultation. Discussion The iterative changes involved in developing PICcode assisted in clarifying precise details of the process and produced a widely applicable coding system. PICcode is the most comprehensively described method of determining the amount of information that patients who use an interpreter recall from their medical consultations. PICcode can be adapted for English-speaking patients and other healthcare populations