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Abstract Background Stigma is a formidable burden for survivors of lung cancer that can reduce the quality of life (QOL), resulting in physical, social and psychological challenges. This study investigates associations between stigma and depression, QOL and demographic and health‐related characteristics, including race. Design An adapted conceptual model derived from the Cataldo Lung Cancer Stigma Scale guided this descriptive correlation study assessing stigma in African American and Caucasian survivors of lung cancer. Self‐reported, written surveys measuring depression, QOL, lung cancer stigma and demographics were administered. Statistical analysis was conducted to assess associations between stigma and depression, stigma and QOL and stigma and race, while adjusting for demographic characteristics. Results Participants (N = 56) included 30 Caucasian and 26 African American survivors of lung cancer recruited from a cancer registry of an American College of Surgeons‐accredited programme, a survivors' support club and an ambulatory oncology practice in the southeastern United States. Statistical analysis yielded (1) a significant moderate positive association between depression and lung cancer stigma; (2) a significant moderate negative association between QOL and lung cancer stigma; and (3) significant relationships between race and lung cancer stigma, specifically higher degree of stigma among African Americans compared to Caucasians. Conclusion Stigma affects many aspects of survivors' lives. Healthcare professionals need to consider how health‐related stigma may further complicate the physical burdens, psychological distresses and social challenges that accompany the disease, especially among African American survivors. Additional enquiry and interventions are needed to assist with mitigating the negative effects of stigma on survivors and their family members and friends. Patient or Public Contribution Fifty‐six survivors of lung cancer participated in this descriptivecorrelation study. They completed written surveys measuring depression, QOL, and lung cancer stigma, plus an investigator‐developed demographic information form.

Research using mHealth apps has the potential to positively impact health care management and outcomes. However, choosing an appropriate mHealth app may be challenging for the health researcher. The author team used existing evaluation tools, checklists, and guidelines to assess selected mHealth apps to identify strengths, challenges, and potential gaps within existing evaluation tools. They identified specific evaluation tool components, questions, and items most effective in examining app content, usability, and features, including literacy demand and cultural appropriateness; technical information; practical aspects of app functionality; and evolving capabilities of mobile medical apps. Challenges included the subjective nature of the results, time required to complete the evaluation, lack of emphasis on evidence-based content, and inadequate tool flexibility. Health researchers considering the integration of mobile apps into research will benefit from evaluation tools that assess both evidence-based content and the ability of the mobile app to securely integrate with other digital technologies involved in patient care. Next steps will include the involvement of health care providers and professionals, including nurses a wide range of expertise, to develop an mHealth evaluation tool that focuses on identifying quality, evidence-based mobile apps into patient outcomes research., (© 2019 John Wiley & Sons Ltd.)