Effectiveness of an App Intervention to Reduce Postsurgical Symptom Distress in Patients With Vulvar Neoplasia

Vulvar neoplasia - incidence, symptoms and disease's management Although being a rare cancer disease, the incidence of vulvar neoplasia is increasing with a current incidence rate of 3.6 / 100.000 for women with vulvar cancer (Buttmann-Schweiger et al., 2015) and 7 / 100.000 for women with VIN (Anders, Riethdorf, \& Löning, 2001). Due to the disease itself and treatment side effects women suffer from a high number of postsurgical symptoms and related distress, such as pain, swelling, or uncertainty (Jefferies \& Clifford, 2012; Philp, Mellon, Barnett, D'Abrew, \& White, 2017; Senn et al., 2011). Results from literature suggest that women have unmet support needs as talking to healthcare professionals is perceived as difficult and information given by healthcare professionals is described as conflicting and inadequate (Philp et al., 2017). The high symptom prevalence and related distress reported uncertainty as well as the perceived lack of supportive care can lead to hospital readmissions and consequently to the generation of high healthcare costs.

To overcome this lack of supportive care, guidelines focusing on vulvar neoplasia recommend an integrative approach including skilled nursing as a key factor for patient management (Royal College of Obstetricians and Gynaecologists, 2014). Specialist nurses, i.e. Advanced Practice Nurses (APN) can, therefore, play an important role in caring for women with vulvar neoplasia, as shown in the study of Raphaelis et al. (2018) where women received written information and counselling sessions from APNs. However, gaps remain especially in women's disease management beyond the walls of the clinic. Therefore, supportive care interventions are requested to promote women's self-management, especially at home. One possibility might be the use of e-health.

E-health - the changing nature of self-help: E-health has come to be an important avenue for supporting self-management. One integral part of the subject area of e-health is m-health. Within the healthcare system the aim of m-health is to provide electronic solutions on mobile devices, which is also described in the WHO definition of m-health: "M-health covers medical and public health practice supported by mobile devices, such as mobile phones, patient monitoring devices, personal digital assistants (PDAs), and other wireless devices" (World Health Organization, 2011). It is expected to contribute to patients' empowerment as they could take a more active role (European Commission, without date). Especially in chronic disease management, m-health interventions could play an important role in providing information and enabling communication without spatial and temporal restrictions.

Significance: This research will contribute significantly to the knowledge about effects of mobile app interventions in gynaecologic oncology, especially with regard to a reduction of symptom induced distress and improvement of uncertainty in a stigmatized disease like vulvar neoplasia.

Objectives: Primary Objective The study seeks primarily to examine the effectiveness of a multidimensional mobile app intervention, which consists of the use of the mobile app whenever women want for a period of six months and three counselling sessions with a gynaecology-oncology nurse ("WOMAN-PRO III") on symptom induced distress, uncertainty and cost-effectiveness in women with vulvar neoplasia after surgical treatment across time compared to three counselling sessions with a gynaecology-oncology nurse and written information. The secondary objective is to explore women's perceived uncertainty as well as the mobile app's acceptability, usability, strengths and weaknesses by assessing participants' and gynaecology-oncology nurses' experiences.

Methods: We use an explanatory-sequential design (Creswell \& Plano Clark, 2017) to examine the effectiveness of the mobile-app intervention ("WOMAN-PRO III"). Thus, quantitative findings can be explained by means of qualitative results (Creswell \& Plano Clark, 2017). Therefore, Phase 1 of this project will consist of a randomized controlled trial (RCT) with an intervention and control arm. Phase 2 is a subsequent qualitative study aiming to explore (1) women's meaning of uncertainty and (2) the mobile app intervention's ("WOMAN PRO III") acceptability, usability, strengths and weaknesses from patients' and gynaecology-oncology nurses' perspective.

Sample and setting: 100 Patients, with an estimated rate of 20% loss to follow-up and drop-out will be recruited continuously in four Swiss hospitals (Bern, Lucerne, Lugano, St.Gallen) to have in the end a total sample of 80 patients for analysis.

Recruitment: From May 1st, 2019 until January31st, 2021 patients will be consecutively invited by a gynaecologist or a nurse to participate in the study after initial diagnosis at the hospital.

Data collection: Will be conducted in the control group via paper-based questionnaires and in the intervention group via paper-based questionnaires and additionally via app. Patients will be asked to complete questionnaires at three points in time:

• Diagnosis / before surgical intervention (t0),
• day seven after surgery (t1),
• and month six after surgery (t2). Sample size: Statistical significance is defined as α = 0.05, power is defined as 80%. Assuming a 20% rate of loss to follow-up and drop-out, with a sampling ratio of 1 a total of 100 female patients with surgically treated VIN/VC will be necessary to start the randomized control trial to gain a total sample of 80 patients for analysis.

Planned analyses: Patients will be analyzed within their assigned groups (intention to treat) based on frequencies and descriptive statistics. Changes in symptom induced distress (frequency of symptoms, items and subscores) will be analyzed using mixed linear regression analysis, taking into account the longitudinal nature of the data (t0, t1, t2), and data clustering within centers. Fixed variables will be study group, point of time, and their interaction. The variables 'patient', nested under the respective 'center', will be entered as a random effect. To find out time-specific differences between the patient groups post-hoc tests will be performed. Uncertainty, our secondary outcome, will be analyzed similarly. Statistical analysis will be provided by a professional statistician, using IBM SPSS Version 24.

Qualitative study: After 6 months of collecting data for the RCT, a qualitative study will be started aiming to explore (1) women's perceived meaning and interaction concerning uncertainty and (2) the mobile app intervention's ("WOMAN PRO III") acceptability, usability, strengths and weaknesses from patients' and gynaecology-oncology nurses' perspective. Therefore, interviews will be conducted with women participating in the RCT and women who agreed to only participate in the qualitative study. Further, a focus group will be conducted with gynaecology-oncology nurses involved in the intervention tested.

Sample and setting: Women who have participated in Phase one of the mixed methods study will be considered as suitable to give insights about their meaning of uncertainty. As well, women who were not interested in participating in the RCT, but declared interest in participating in the qualitative study, are found to be eligible. Participants of the intervention and gynaecology-oncology nurses involved in the mobile app intervention (6 - 8 nurses) are considered eligible to deliver information about the mobile app intervention's ("WOMAN PRO III") acceptability, usability, strengths and weaknesses. It can be assumed, that with interviewing about 15 patients and involving 6 - 8 gynaecology-oncology nurses a first data saturation can be achieved.

Recruitment: Six months after surgery (t2) patients will be asked by a nurse not involved in the patients' treatment to indicate their willingness to participate in an individual interview. All gynaecology-oncology nurses involved in the mobile app intervention will be asked to participate in the focus group interview.

Data collection: The patient interviews and the focus group with the gynaecology-oncology nurses will be conducted by using interview guides consisting of open-ended questions. The interviews and the focus group will last about an hour. Patients' interviews will take place at the participant's home or in the clinical setting according to patient's preferences. The focus group interview will be held at a research institute. ¨ Data analysis: Data of the patient interviews and the focus group will be recorded, anonymized and transcribed verbatim (Dresing \& Pehl, 2011) and analyzed using open, axial and selective coding as proposed by Corbin \& Strauss (2015). The data analysis process will be conducted by researchers with extended experience in qualitative research and assisted by MAXQDA 2018 (VERBI GmbH, Berlin).