Background

Cancers of the upper gastrointestinal tract commonly result in malnutrition [1,2,3,4,5,6,7,8]. The pathogenesis of malnutrition in this population is multifactorial. Often, one of the first symptoms of upper gastrointestinal cancer is significant weight loss which prompts individuals to seek medical attention [9, 10]. Tumour growth also impacts individuals with symptoms of pain, anorexia, dysphagia and physical obstruction resulting in concurrent reductions in oral intake [11, 12]. Commencement of oncological and radiological treatments cause further side effects that reduce oral intake including nausea, vomiting, diarrhoea, oesophagitis, mucositis and fatigue [11, 12]. The resultant malnutrition can then result in further reductions in tolerance to these treatment modalities [1, 13, 14]. Many patients therefore arrive for major surgeries with a history of malnutrition which confers risks of increased complications, longer length of stay, increased morbidity and mortality and reduced quality of life [1, 12]. Long periods of pre and post-operative fasting accompanied by prolonged periods of inadequate post-operative oral intake and impaired nutrient absorption and metabolism continue to add another dimension of risk for individual’s nutrition status to further decline [1, 7, 12, 15,16,17,18,19].

Recommendations of the nutrition management of individuals with upper gastrointestinal cancers has been articulated in many evidence-based guidelines and original research papers. These include: early and intensive nutrition support, weekly to fortnightly intervention, practical information and nutrition counselling about optimising nutrition intake, achieve appropriate energy and protein intakes (with the provision of nutrition support), minimising nutrition impact symptoms and the stabilisation of weight [19,20,21,22,23,24]. However, significant service gaps in the nutrition care of this patient cohort in Victoria were elucidated in a point prevalence study conducted by the Department of Health and Human Services and published in 2015 [25]. Patients with upper gastrointestinal cancer had a prevalence of malnutrition of 48%; comparative to international rates of malnutrition of 22–62% [4, 26, 27]. Almost half of these Victorian patients had not been provided with dietetic intervention [25].

We are currently undertaking a randomised controlled trial ‘Effect of early and intensive nutrition care, delivered via telephone or mobile application, on quality of life in people with upper gastrointestinal cancer’ [28]. This study is a prospective three-group intervention with a parallel economic evaluation. The three major upper gastrointestinal cancers the study concentrates its research are gastric, oesophageal and pancreatic. A pilot study conducted by our group showed benefits in participants nutrition status through early and intensive intervention [29], hence the scale up into a larger randomised controlled trial. The survival analysis of this pilot study also showed a possible survival benefit between 6 months and 1.4 years post recruitment from being exposed to this intervention [30].

Two different methods of nutrition intervention delivery will be utilised; synchronous (telephone) or asynchronous (mHealth) in addition to usual care (control) over an 18-week period. Behaviour change techniques will be used to manage nutrition impact symptoms, thus ensuring the intervention is tailored to the individual’s needs. Quality adjusted life years is the primary outcome and markers of nutritional status are secondary outcomes; all measured at baseline, three, six and 12-month time periods. The detailed protocol for the RCT has been described previously [28].

It is becoming increasingly important in translational research to not only focus on the outcomes of randomised controlled trials but to also determine the underlying processes involved in implementing an intervention [31]. Process evaluations are needed to allow for the interpretation of outcomes of trials, as causality of these outcomes can be challenging to understand [32]. This randomised controlled study is testing a complex intervention due to multiple interacting components including nutrition assessment, intervention, counselling (including the use of multiple behaviour change techniques) and then monitoring and evaluation of the effectiveness of individual patient interventions all while interacting within a multifaceted social context. The mechanisms through which interventions might bring about change in participants in this trial are essential to understand so that the potential benefits of these interventions can be replicated, particularly in clinical practice in a broad range of settings.

Aims and objectives

This process evaluation aims to measure and compare the effectiveness of the process of intervention delivery whilst also exploring and comparing the mechanisms of action between the two intervention arms in our trial across a range of domains. The objectives/questions relating to each of these domains, and the methods of data collection and analysis are described in detail in Table 3.

  1. 1).

    Content

  2. 2).

    Dose/Contact

  3. 3).

    Behaviour change

  4. 4).

    Barriers and facilitators to engagement of participants

  5. 5).

    Acceptability

  6. 6).

    Factors mediating engagement, behaviour change and health outcomes

Methods

Study design

This will be a concurrent triangulation mixed methods evaluation of a randomised controlled trial of two different service delivery models of dietetic interventions in patients with oesophagogastric and pancreatic cancer. Concurrent triangulation requires that data for qualitative and quantitative analyses be collected at multiple time points, with initial analyses of qualitative and quantitative data completed separately and then combined to compare the results for interpretation [28, 33, 34]. Data related to primary outcomes will be reported separately in the main trial paper.

Sample size calculation

A sample size of n = 33 participants per group is estimated to attain 80% power to identify a smaller standardised difference (0.70) for comparisons with the control group at the alpha = 0.05 level on the QALY lived outcome. We will therefore recruit n = 37 per group to account for potential drop-outs from this study (note – there were zero drop-outs for reasons other than death, from our pilot study with n = 21) (Figs. 1 and 2).

Fig. 1
figure 1

Conceptual framework. Framework of the delivery of nutrition intervention for participants who are randomised to the intervention. Dietitian completes an initial nutrition assessment over the phone. The dietitian identifies and prioritises issues to be addressed e.g. psycho-social, nutrition impact symptoms, nutrition optimisation and/or pharmacological support. Goals are set, then supporting behaviour change techniques are employed taken from the Behaviour Change Technique Taxonomy V1 (BCTTV1) [37]. At each weekly/fortnightly nutrition consultation goals are reviewed and strategies negotiated to promote achievement of goals. The effectiveness of the intervention will be assessed through the outcome measures of health-related quality of life (HRQoL). nutritional status and survival

Fig. 2
figure 2

Process evaluation and mechanisms of action flow chart. This flow chart presents the key functions involved in the process and mechanisms of action evaluation of this randomised controlled trial. The green boxes form the most integral components of this evaluation. Analysis using a mixed methods approach allows for the interpretation of outcomes. Adapted from Moore et al [40]

Participants

Participants from both arms of the randomised controlled trial will be eligible to participate in the process evaluation. The control group participants will not participate in this evaluation. Surgeons, Oncologists, Radiation Oncologists and hospital-based dietitians will also be invited to participate.

Intervention

The nutrition intervention will be delivered under two conditions either via synchronous or asynchronous methods, in addition to usual care. The mHealth intervention will be delivered via MyPace, a mobile application that allows the research dietitian and participant to communicate through regular asynchronous messaging to tailor individual advice (Fig. 3). Additionally, automated daily reminders encourage self-monitoring and in combination the two techniques aim to promote sustained behaviour change [35, 36]. The telephone intervention will be delivered via a study mobile phone to participants home or mobile telephone as per their preference.

Fig. 3
figure 3

MyPace [55]

The research dietitian commences the 18-week intervention in the earliest time frame from the participant’s diagnosis, consent, recruitment and baseline data collection. An initial nutrition assessment will be carried out via telephone for both intervention groups using a standard nutrition assessment form. Throughout the intervention period, either weekly or fortnightly reviews will occur, based on the discretion of the dietitian and as per participant preference. Participants who cannot be contacted (after two attempts) via telephone, those who do not respond to messages via MyPace, or those who are in hospital at the time of review will not receive their planned review for that week. No suspension of the 18-week intervention will occur. Participants in both groups will have written information resources emailed or posted via mail. Participants requiring oral nutrition supplements (when clinically indicated) will be mailed samples and an order form will be provided via email or posted via mail.

The Behaviour Change Technique Taxonomy v1 (BCTTv1) will be used to guide the choice of behaviour change techniques that will be utilised during all participant interventions (Table 1) [37].

Table 1 Behaviour change techniques

Data sources

MyPace app

Participants can choose to use their own home computer, mobile telephone or internet enabled tablet to download MyPace for use; alternatively, participants will be given (in person or sent via Australia Post express post) an internet enabled iPad to use for the duration of the intervention. Data from the asynchronous arm of the intervention will be collected through MyPace analytics and the initial voice recorded telephone nutrition assessment. Research dietitian directed and collaboratively set goals with the participant will be entered as Small Steps. These may be changed, ceased or added to during the intervention period. Participant completion or non-completion of Small Steps will be collected via the MyPace participant report page. This page shows the number scheduled, the number completed, and a percentage of scheduled vs completed Small Steps (Fig. 4). If a participant was lost to contact after the goal was set, it will be assumed that the goal was not achieved. Weight change throughout the intervention is recorded and graphically represented on the participants report page (Fig. 5). Weight loss/gain is summarised at the top of the report page. Participant and dietitian intervention messages will be retained.

Fig. 4
figure 4

MyPace Small Steps [55]

Fig. 5
figure 5

My Pace Progress Summary and Weight Graph [55]

Telephone recordings

Participants randomised to the telephone (synchronous) arm will have all their delivered nutrition consultations voice recorded. In addition to this, the dietitian will take written notes on a standardised nutrition initial or review form for completeness. Any additional phone calls initiated by the participant between planned consultations will also be recorded. Participants will self-report to the research dietitian at each consultation whether behaviour change goals are achieved or not achieved. During these consultations goals will also be reviewed and changed if required. If a participant was lost to contact after the goal was set, it will be assumed that the goal was not achieved.

Intervention delivery records

The research dietitian will maintain a set of participant records that include data on date and duration of all scheduled and non-scheduled interventions, number of attempts to contact participants (maximum of two per scheduled intervention), any missed interventions (including those who were current inpatients of a hospital) throughout the 18-week study period for both arms of the intervention. MyPace app technical issues will also be identified and recorded. All technical issues with MyPace will be addressed through telephone calls to participants that focus only on the resolution of these issues. These issues will also be escalated to software support services.

A record of the written nutrition education materials that patients require to address nutrition support needs and symptom management, any oral nutrition support products sent to participants to trial and order forms for home delivery of the oral nutrition support products. The delivery method whether email or mailed via Australia Post express post will be recorded.

Topics for goal setting and the behaviour change techniques used to achieve these goals will be recorded from the dietetic consultations (i.e. telephone calls, MyPace messaging and MyPace Small Steps). These will include:

Nutrition optimisation

The research dietitian will conduct a full initial nutrition assessment of each participant at their initial contact. The participant’s nutrition needs are then identified and prioritised, e.g. a deficit in energy and protein requirements which needs to be addressed for weight stability during treatment. The dietitian and participant will then set goals for addressing these nutrient deficits. Behaviour change techniques are used to support goal setting e.g. problem solving and action planning. At each participant review their goal achievement is assessed; goals can be ceased, modified or continued in addition to the setting of new goals.

Nutrition impact symptom(s) management

Nutrition impact symptoms including anorexia, early satiety, dysphagia, reflux, regurgitation, odynophagia, xerostomia, mucositis, oesophagitis, gastritis/enteritis, hiccups, radiation pneumonitis, oesophageal stricture/stenosis, nausea, vomiting, fatigue, neutropaenia, constipation, diarrhoea, steatorrhoea (pancreatic exocrine insufficiency), diarrhoea and cholinergic syndrome, bloating, pain and laryngo-pharyngeal dysaesthesia will be recorded for each participant, and strategies to assist with the management of these will occur through goal setting.

Pharmacological support

Pharmacological support relates to the recommendations for the use of and adherence to medications (in line with the treating medical team recommendations as per patient self-report) to assist with the management of nutrition impact symptoms; examples include antiemetics, aperients and pancreatic enzyme replacement therapy.

Psycho-social support

Sourcing psychological support will include recommendations to seek out support through family/friends, social workers or psycho-oncology clinics through the hospital the participant is affiliated with, the Cancer Council telephone information and support service, and Lifeline.

Semi-structured post intervention interviews

At the conclusion of the 18-week intervention, all participants will be invited by an independent researcher to participate in semi-structured post intervention interviews. Participants choosing to participate may nominate a family member or carer to complete the interview on their behalf. All interviews are facilitated by a researcher (KH) with knowledge of the RCT but who was not involved with the delivery of the nutrition intervention. Interviews will be conducted via telephone and voice recorded. The goal of the interviews is to gather data from the perspective of the participants on 1) the relevance of the intervention to their needs, 2) the flow of communication with the dietitian, 3) the motivation for taking part in the study, and 4) promoting self-management. Modifications to the interview schedule will occur through an iterative/reflective process during data collection to capture the participants’ experiences during the intervention (Table 2).

Table 2 Sample Questions of the post intervention semi-structured interviews with participants

Semi-structured health professional interviews

At the conclusion of the study, the multidisciplinary treating team including Surgeons, Oncologists, Radiation Oncologists and hospital-based dietitians will be invited by an independent researcher to participate in semi-structured interviews. All interviews are facilitated by a researcher with knowledge of the RCT but who was not involved with the delivery of the nutrition intervention. Interviews are conducted either in person or via telephone and voice recorded. The goal of the interviews is to gather data from the perspective of the health professionals involved in treating the participants and explore acceptability of the model of nutrition intervention delivery.

Participant data at baseline and 6 months

Demographic data including gender and age, anthropometrical data on self-reported body weight, change in HRQoL (scores from the EQ-5D-5 L instrument) [38] and survival for participants in the two arms of the intervention will be collected by an independent blinded researcher at baseline and 6 months. Survival data may be ascertained through a family member at the time of routine contact at follow-up assessments where possible. The Victorian Cancer Registry, which receives death notifications from the Registrar of the Victorian Department of Births Deaths and Marriages for all people who die from cancer in Victoria, will then be used to confirm mortality data.

Prior and/or regular use and confidence with technology will be assessed by five questions during baseline data collection; 1) Do you use email? 2) Do you own a smartphone? 3) Do you own an iPad (or internet enabled tablet)? 4) Do you feel confident to communicate with a health professional using messages from your smartphone or iPad? 5) Do you regularly (at least once per day) use your smartphone for something other than for making calls?

Data analysis

Classification of research dietitian directed goals, collaboratively set goals, nutrition impact symptoms and behaviour change techniques used by the dietitian will be undertaken by content analysis of audio files, MyPace messages and setting of Small Steps between the research dietitian and participants. A classification matrix will be used to facilitate this process.

Time from baseline assessment completion until research dietitian attempt to contact and to first successful contact with participant will be compared between the two intervention groups using Cox proportional hazards regression analysis. Descriptive statistics will be used to characterise the methods by which participants initiated contact with the research dietitian. Frequency of contact with the research dietitian and participants will be compared between groups using either Poisson or negative binomial regression depending on the data distribution. The proportion of participants who had at least fortnightly contact, who were sent written nutrition education materials, and a trial pack of oral nutrition support products will be compared using logistic regression.

The number of behaviour change goals per participant will be compared between groups using Poisson or negative binomial regression based on the data distribution. The base analysis will compare the number of goals achieved in the telephone group based on self-report during synchronous reviews to the number of small step goals completed for the asynchronous group. A sensitivity analysis will be conducted for the asynchronous group where goals reported as being completed in written message correspondence but not in the Small Steps will additionally be reported as achieved goals along with Small Steps.

A thematic analysis of audio recordings of both the synchronous interventions and post-intervention semi-structured interviews and MyPace messages will allow for the identification, description and contrast of the types of barriers and facilitators to engagement of participants between intervention groups.

A thematic analysis of audio recordings of the post study health professional interviews will identify and describe the acceptability of both models of nutrition intervention from the point of view of the treating hospital team.

We will build a multiple regression model (Poisson or negative binomial regression dependent on the data distribution) that predicts the number of sessions completed by the participant with the research dietitian. We will use the model building approach described by Hosmer and Lemeshow [39] .

To explore the relationships between participant demographics, intervention focus (examples include nutrient intake, nutrition impact symptoms), dose, timing, and frequency and whether the goal set was achieved, we will build a multiple logistic regression model using the model driven approach described by Hosmer and Lemeshow [39].

To explore the relationships between participant demographics, engagement and goal achievement with health outcomes, we will build separate models for the three health outcomes of: 1) weight being within +/− 5% of baseline weight at 6 months analysed via multiple logistic regression, 2) HRQoL at 6 months analysed via multiple regression analysis and 3) survival at 12 months analysed using multiple Cox proportional hazards analysis. We selected the outcome of weight being within +/− 5% based on previous literature demonstrating weight stability during cancer treatment as an important goal to achieve [3, 20, 21] (Table 3).

Table 3 Process evaluation objectives, questions and collection of data

Discussion

The concurrent, novel three group randomised controlled trial will provide evidence as to whether early, intensive nutrition intervention, delivered via mHealth or telephone leads to better health outcomes in patients with upper gastrointestinal cancer along with evidence regarding the most cost-effective and acceptable delivery method of this intervention. Evaluations of complex interventions using both qualitative and quantitative evidence allow for the multiple interacting components of a study to be fully elucidated and well understood [40, 41]. The purpose of this study is to outline the comprehensive process evaluation that will be used to provide the information required to interpret the clinical outcomes of this trial; to determine the mechanisms of action and the complex interacting contextual factors in which this action occurs. This will allow the drawing of links between the processes of the intervention delivered with participants (family/carer) engagement, health related behaviour change and overall health outcomes.

Telephone and web-based delivered interventions have been lauded as important approaches to provide convenient, accessible, equitable and cost effective health behaviour change interventions that also encompass personalised, individually tailored information [42,43,44]. However, it is unclear which method, in the population of patients undergoing treatment for upper gastrointestinal cancer, is more effective and acceptable in changing health behaviours, improving health outcomes and ultimately survival. There are few studies that explore the delivery of health behaviour change interventions by ehealth methods during cancer treatment, most studies focus on prevention and survivorship interventions [45,46,47,48].

Patient engagement in behaviour change interventions is paramount to their success. The definition of engagement in the literature has lacked consistency, therefore its measurement has been heterogenous and challenging to compare. This is particularly evident in digital behaviour change interventions where usage metrics have been used as typical markers of engagement [49, 50]. However, engagement is also significantly affected by a number of variables including patient demographics and individual circumstances; care setting, cancer type, stage and treatment modality(ies), technology acceptance, confidence and functions used and family/carer support [50]. This evaluation will not only measure objective data analytics but subjective qualitative analysis. This allows for the measurement of the initiation of engagement but also sustained engagement over the life of the 18 week intervention time frame. The qualitative thematic analysis will also incorporate the barriers and facilitators to participant engagement. The differences between the two delivery methods will be highlighted, allowing the determination of whether intervention group assignment also effects participant engagement.

Behaviour change techniques used within complex behaviour change interventions are imperative components that are essential to report to allow replicability [51,52,53]. Literature supports studies that use a variety of behaviour change techniques in producing larger outcome effects [54]. Our study encompasses a range of five routinely used and twenty-three supplementary behaviour change techniques used in combination to elicit health behaviour change. The evaluation of the use of these techniques will allow the clarification of which specific techniques used in combination elicited the most effective behaviour change in participants.

The mixed method approach is a strength of this evaluation, allowing both qualitative and quantitative data collection and analysis. This will provide a much broader and encompassing insight into the implementation of the interventions; the acceptability of patients (families/carers) and health professionals and the complex mediators at play. Self-reported semi-quantitative post intervention interviews may introduce reporting biases due to death, uncontactable participants or those declining to participate. Of those who do participate, the interviews will be conducted retrospectively so may add recall bias and responding in a desirable manner. This also adds to the burden of research which may decrease respondent’s likelihood to participate.

Conclusion

Early delivery of nutrition care to people diagnosed with upper gastrointestinal cancer is best-practice. Often, health care services have limited resources and therefore need to prioritise based on a balance between cost and benefit. By undertaking a process evaluation that elucidates mechanisms of action, there should be greater success in moving from the research setting to the real-world setting. There will be a greater understanding of the active ingredients required for successful delivery of early and intensive nutrition care via the telephone or mHealth. This evidence can then be translated, integrated and scaled up into a delivery approach to reach large numbers of patients through a state-wide hub.