Medical Selfies: Emotional Impacts and Practical Challenges

Diethei, Daniel; Colley, Ashley; Kalving, Matilda; Salmela, Tarja; Häkkilä, Jonna; Schöning, Johannes

doi:10.1145/3379503.3403555

Cited by 7 publications

(12 citation statements)

References 51 publications

(67 reference statements)

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“…In terms of diagnosis, photos provide important data for health care professionals to diagnose hernias [ 35 ], rashes [ 36 ], injuries [ 38 ], lesions [ 30 , 47 ], and cysts and angioedema [ 49 ]. Patients also use photos to self-diagnose skin lesions [ 32 , 34 ] and monitor lesions over time [ 31 ]. Photos and videos can provide valuable explanations that lead to new insights for patients about the functioning of their own body [ 135 ] and to come to terms with new diagnoses, for example, to cope with cancer [ 103 ] and kidney stone disease [ 109 ].…”

Section: Resultsmentioning

confidence: 99%

“…Functional value often went hand in hand with efficiency value (19/110, 17.3%), where the data provided through photos saved time, money, and effort [ 140 ]. Commonly reported with photos of skin conditions, time and money are saved when health professionals assess photos instead of assessing patients in person [ 41 , 42 , 44 , 45 ] or when patients can self-diagnose skin lesions and rashes [ 31 , 32 , 34 , 36 , 40 ]. Similarly, patients save time and effort when they are allowed to capture their dietary intake through photos, rather than through pen and paper diaries [ 56 , 69 , 71 , 76 , 77 , 79 , 80 , 92 ].…”

Section: Resultsmentioning

confidence: 99%

“…A major challenge in taking images is accessibility (16/110, 14.5%). For example, patients reported difficulty in accessing body parts such as their feet or their backs with a camera phone [ 30 , 31 ] or felt it inappropriate to access their cameras to capture photos of the groin area [ 31 , 43 , 135 ] and in social situations (to take food photos in public settings such as a restaurant) [ 54 , 55 , 62 , 74 ]. Not all patients have access to a camera phone, or they do not know how to use them, particularly children [ 69 ] and older patients [ 33 , 66 ].…”

Section: Resultsmentioning

confidence: 99%

See 2 more Smart Citations

Patient-Generated Health Photos and Videos Across Health and Well-being Contexts: Scoping Review

Ploderer¹,

Aghdam²,

Burns³

2022

J Med Internet Res

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Background Patient-generated health data are increasingly used to record health and well-being concerns and engage patients in clinical care. Patient-generated photographs and videos are accessible and meaningful to patients, making them especially relevant during the current COVID-19 pandemic. However, a systematic review of photos and videos used by patients across different areas of health and well-being is lacking. Objective This review aims to synthesize the existing literature on the health and well-being contexts in which patient-generated photos and videos are used, the value gained by patients and health professionals, and the challenges experienced. Methods Guided by a framework for scoping reviews, we searched eight health databases (CINAHL, Cochrane Library, Embase, PsycINFO, PubMed, MEDLINE, Scopus, and Web of Science) and one computing database (ACM), returning a total of 28,567 studies. After removing duplicates and screening based on the predefined inclusion criteria, we identified 110 relevant articles. Data were charted and articles were analyzed following an iterative thematic approach with the assistance of NVivo software (version 12; QSR International). Results Patient-generated photos and videos are used across a wide range of health care services (39/110, 35.5% articles), for example, to diagnose skin lesions, assess dietary intake, and reflect on personal experiences during therapy. In addition, patients use them to self-manage health and well-being concerns (33/110, 30%) and to share personal health experiences via social media (36/110, 32.7%). Photos and videos create significant value for health care (59/110, 53.6%), where images support diagnosis, explanation, and treatment (functional value). They also provide value directly to patients through enhanced self-determination (39/110, 35.4%), social (33/110, 30%), and emotional support (21/110, 19.1%). However, several challenges emerge when patients create, share, and examine photos and videos, such as limited accessibility (16/110, 14.5%), incomplete image sets (23/110, 20.9%), and misinformation through photos and videos shared on social media (17/110, 15.5%). Conclusions This review shows that photos and videos engage patients in meaningful ways across different health care activities (eg, diagnosis, treatment, and self-care) for various health conditions. Although photos and videos require effort to capture and involve challenges when patients want to use them in health care, they also engage and empower patients, generating unique value. This review highlights areas for future research and strategies for addressing these challenges.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Patient-Generated Health Photos and Videos Across Health and Well-being Contexts: Scoping Review

Ploderer¹,

Aghdam²,

Burns³

2022

J Med Internet Res

View full text Add to dashboard Cite

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“…Smartphones have become popular for capturing well-being data (e.g. [18]). Past research works on this topic mainly focused on mental health [5], mindfulness [34,35] and mood [12].…”

Section: The Potential Of Mobile and Vr Technologies For Mentalmentioning

confidence: 99%

The Role of Mobile and Virtual Reality Applications to Support Well-Being: An Expert View and Systematic App Review

Wagener

Duong

Schöning

et al. 2021

Lecture Notes in Computer Science

Self Cite

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Interactive technologies for autonomous mental health management are on the rise due to limited therapy access and stigma. However, most commercial mental health apps are neither theory-based nor clinically tested, and psychological theories are not easily accessible to app designers. Thus, it remains unclear if current mobile and VR mental health apps meet therapists' expectations. To address this gap, we conducted interviews (N = 11) to build an understanding about current therapeutic practices with a focus on emotion regulation and their applicability to mobile apps. We then conducted a systematic app review of 60 mental-health-related mobile and VR apps applying the themes identified in our interviews as an understanding lens. We draw upon the identified discrepancies to pinpoint design implications for better embedding lived therapeutic practice into mental health apps. We contribute by providing a common grounding between therapists and developers on the features and properties of well-being mobile and VR apps.

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“…For example, in the Skinvision app [30] the user "waves" the smartphone over the skin lesion to be investigated, and the app automatically selects when to take the image for analysis. This unguided approach could potentially be improved on with audio feedback [31], e.g., similar to that used for navigation [32]. A summary of approaches to integration non-speech sounds to visual interfaces has been presented by [33], suggesting the use of earcons [34,35], sounds with dynamic timber, pitch and rhythm, as suitable for localization tasks.…”

Section: B Guiding Image Capturementioning

confidence: 99%

The Usability and Trustworthiness of Medical Eye Images

Diethei¹,

Colley²,

Dannenberg³

et al. 2021

Preprint

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The majority of blindness is preventable, and is located in developing countries. While mHealth applications for retinal imaging in combination with affordable smartphone lens adaptors are a step towards better eye care access, the expert knowledge and additional hardware needed are often unavailable in developing countries. Eye screening apps without lens adaptors exist, but we do not know much about the experience of guiding users to take medical eye images. Additionally, when an AI based diagnosis is provided, trust plays an important role in ensuring in the adoption. This work addresses factors that impact the usability and trustworthiness dimensions of mHealth applications. We present the design, development and evaluation of EyeGuide, a mobile app that assists users in taking medical eye images using only their smartphone camera. In a study (n=28) we observed that users of an interactive tutorial captured images faster compared to audible tone based guidance. In a second study (n=40) we found out that providing disease-specific background information was the most effective factor to increase trustworthiness in the AI based diagnosis. Application areas of EyeGuide are AI based disease detection and telemedicine examinations.

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Medical Selfies: Emotional Impacts and Practical Challenges

Cited by 7 publications

References 51 publications

Patient-Generated Health Photos and Videos Across Health and Well-being Contexts: Scoping Review

Patient-Generated Health Photos and Videos Across Health and Well-being Contexts: Scoping Review

The Role of Mobile and Virtual Reality Applications to Support Well-Being: An Expert View and Systematic App Review

The Usability and Trustworthiness of Medical Eye Images

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