Patient-centered design in developing a mobile application for oral anticancer medications

Patient and public involvement in cancer research: A scoping review

INTRODUCTION

Patient and public involvement (PPI) in research emphasizes the importance of doing research with, rather than for people with lived health/illness experience(s). The purpose of this scoping review is to investigate the breadth and depth of scientific literature on PPI in cancer research and to identify how is PPI applied and reported in cancer research.

METHODS

We searched MEDLINE, Embase, CINAHL, and PsycInfo up to March 2022. All titles/abstracts and full-text results were screened by two reviewers. Data were analyzed and are presented in both narrative and tabular format.

RESULTS

We screened 22,009 titles/abstract, reviewed 375 full-text articles, of which 101 studies were included in this review. 66 papers applied PPI; 35 used co-design methodologies. PPI in cancer research in published research has increased steadily since 2015 and often includes those with a past diagnosis of cancer or relatives/informal caregivers. The most common applied methods were workshops or interviews. PPI was generally used at the level of consultation/advisor and occurred mainly in early stages of research. Costs related to PPI were mentioned in 25 papers and four papers described training provided for PPI.

CONCLUSIONS

Results of our review demonstrate the nature and extent of PPI expansion in cancer research. Researchers and research organizations entering the fray of PPI should consider planning and reporting elements such as the stage, level, and role type of PPI, as well as methods and strategies put in place to assure diversity. Furthermore, a thorough evaluation of whether all these elements meet the stated PPI purpose will help to grasp its impact on research outcomes.

PATIENT OR PUBLIC CONTRIBUTION

Two patients participated in the stakeholder consultation as part of the scoping review methodology, contributed to the discussion on refining the results, and critically reviewed the manuscript. Both are co-authors of this manuscript.

A User-Centered Chatbot (Wakamola) to Collect Linked Data in Population Networks to Support Studies of Overweight and Obesity Causes: Design and Pilot Study

BACKGROUND

Obesity and overweight are a serious health problem worldwide with multiple and connected causes. Simultaneously, chatbots are becoming increasingly popular as a way to interact with users in mobile health apps.

OBJECTIVE

This study reports the user-centered design and feasibility study of a chatbot to collect linked data to support the study of individual and social overweight and obesity causes in populations.

METHODS

We first studied the users' needs and gathered users' graphical preferences through an open survey on 52 wireframes designed by 150 design students; it also included questions about sociodemographics, diet and activity habits, the need for overweight and obesity apps, and desired functionality. We also interviewed an expert panel. We then designed and developed a chatbot. Finally, we conducted a pilot study to test feasibility.

RESULTS

We collected 452 answers to the survey and interviewed 4 specialists. Based on this research, we developed a Telegram chatbot named Wakamola structured in six sections: personal, diet, physical activity, social network, user's status score, and project information. We defined a user's status score as a normalized sum (0-100) of scores about diet (frequency of eating 50 foods), physical activity, BMI, and social network. We performed a pilot to evaluate the chatbot implementation among 85 healthy volunteers. Of 74 participants who completed all sections, we found 8 underweight people (11%), 5 overweight people (7%), and no obesity cases. The mean BMI was 21.4 kg/m2 (normal weight). The most consumed foods were olive oil, milk and derivatives, cereals, vegetables, and fruits. People walked 10 minutes on 5.8 days per week, slept 7.02 hours per day, and were sitting 30.57 hours per week. Moreover, we were able to create a social network with 74 users, 178 relations, and 12 communities.

CONCLUSIONS

The Telegram chatbot Wakamola is a feasible tool to collect data from a population about sociodemographics, diet patterns, physical activity, BMI, and specific diseases. Besides, the chatbot allows the connection of users in a social network to study overweight and obesity causes from both individual and social perspectives.

Priorities for Rural Lymphoma Survivors: A Qualitative Study

BACKGROUND

We gathered rural patient perspectives on lymphoma care and unmet needs throughout the treatment course to better understand their attitudes toward treatment and their barriers to participating in clinical research studies.

PATIENTS AND METHODS

We conducted 12 individual semi-structured telephone interviews in the spring of 2018 with lymphoma survivors from rural counties in Georgia. Patients were identified by a residential address in counties classified as rural according to the Rural-Urban Commuting Areas codes. Participants were recruited from regional patient education conferences and from current research participants at a university research hospital in Georgia. The interviews were recorded and transcribed verbatim. Thematic analysis and MAXQDA, version 18.0.8, were used to facilitate a constant comparative coding process during theme development.

RESULTS

The greatest barrier to care was the travel distance. The participants described difficulty navigating between local clinics and larger cancer centers. The lack of communication between the local and specialized clinics complicated the process, and participants had difficulty contacting or seeking advice from the team at the larger cancer centers. Seeking treatment from specialized clinics farther away introduced additional barriers. Most participants agreed that the use of technology was important for improved communication. Participants described lymphoma etiology, subtype-specific studies, alternative therapies, and quality of life as key research priorities.

CONCLUSION

These findings suggest that targeted research and interventions are necessary to address the specific needs of rural patients with and survivors of lymphoma. To address the disparity in health outcomes within rural populations, healthcare professionals and investigators can use these data to engage rural patients in treatment decision-making and research planning.