Persona preparedness: a survey instrument for measuring the organizational readiness for deploying personas

Salminen, Joni; Nielsen, Lene; Bahloul, Malik; Jørgensen, Rasmus Grønlund; Santos, João M.; Jung, Sin‐Ho; Jansen, Bernard J.

doi:10.1007/s10799-022-00373-9

Cited by 5 publications

(3 citation statements)

References 102 publications

(85 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Subsequent analyses were conducted jointly by two research team members (CLA and LKB) to support reflexivity during analysis. Personas, a HCD technique that aims to summarize each user segment [ 55 ], were identified using iterative reading of memos and affinity clustering [ 47 ]. We conducted rapid framework-guided thematic analysis [ 43 – 45 , 56 ] using the deductive themes identified during observation and identified additional themes inductively via affinity clustering and categorization.…”

Section: Methodsmentioning

confidence: 99%

Developing a multimedia patient-reported outcomes measure for low literacy patients with a human-centered design approach

Azad,

Beres,

et al. 2024

PLoS ONE

View full text Add to dashboard Cite

Introduction Almost all patient-reported outcomes measures (PROMs) are text-based, which impedes accurate completion by low and limited literacy patients. Few PROMs are designed or validated to be self-administered, either in clinical or research settings, by patients of all literacy levels. We aimed to adapt the Patient Reported Outcomes Measurement Information System Upper Extremity Short Form (PROMIS-UE) to a multimedia version (mPROMIS-UE) that can be self-administered by hand and upper extremity patients of all literacy levels. Methods Our study in which we applied the Multimedia Adaptation Protocol included seven phases completed in a serial, iterative fashion: planning with our community advisory board; direct observation; discovery interviews with patients, caregivers, and clinic staff; ideation; prototyping; member-checking interviews; and feedback. Direct observations were documented in memos that underwent rapid thematic analysis. Interviews were audio-recorded and documented using analytic memos; a rapid, framework-guided thematic analysis with both inductive and deductive themes was performed. Themes were distilled into design challenges to guide ideation and prototyping that involved our multidisciplinary research team. To assess completeness, credibility, and acceptability we completed additional interviews with member-checking of initial findings and consulted our community advisory board. Results We conducted 12 hours of observations. We interviewed 17 adult English-speaking participants (12 patients, 3 caregivers, 2 staff) of mixed literacy. Our interviews revealed two distinct user personas and three distinct literacy personas; we developed the mPROMIS-UE with these personas in mind. Themes from interviews were distilled into four broad design challenges surrounding literacy, customizability, convenience, and shame. We identified features (audio, animations, icons, avatars, progress indicator, illustrated response scale) that addressed the design challenges. The last 6 interviews included member-checking; participants felt that the themes, design challenges, and corresponding features resonated with them. These features were synthesized into an mPROMIS-UE prototype that underwent rounds of iterative refinement, the last of which was guided by recommendations from our community advisory board. Discussion We successfully adapted the PROMIS-UE to an mPROMIS-UE that addresses the challenges identified by a mixed literacy hand and upper extremity patient cohort. This demonstrates the feasibility of adapting PROMs to multimedia versions. Future research will include back adaptation, usability testing via qualitative evaluation, and psychometric validation of the mPROMIS-UE. A validated mPROMIS-UE will expand clinicians’ and investigators’ ability to capture patient-reported outcomes in mixed literacy populations.

show abstract

Section: Methodsmentioning

confidence: 99%

Developing a multimedia patient-reported outcomes measure for low literacy patients with a human-centered design approach

Azad,

Beres,

et al. 2024

PLoS ONE

View full text Add to dashboard Cite

show abstract

“…Subsequent analyses were conducted jointly by two research team members (CLA and LKB) to support reflexivity during analysis. Personas, a HCD technique that aims to summarize each user segment [55], were identified using iterative reading of memos and affinity clustering [47]. We conducted rapid framework-guided thematic analysis [43][44][45]56] using the deductive themes identified during observation and identified additional themes inductively via affinity clustering and categorization.…”

Section: Plos Onementioning

confidence: 99%

Untitled

View full text Add to dashboard Cite

“…Subsequent analyses were conducted jointly by two research team members (CLA and LKB) to support reflexivity during analysis. Personas, a HCD technique that aims to summarize each user segment [55], were identified using iterative reading of memos and affinity clustering [47]. We conducted rapid framework-guided thematic analysis [43][44][45]56] using the deductive themes identified during observation and identified additional themes inductively via affinity clustering and categorization.…”

Section: Plos Onementioning

confidence: 99%

Untitled

View full text Add to dashboard Cite

Persona preparedness: a survey instrument for measuring the organizational readiness for deploying personas

Cited by 5 publications

References 102 publications

Developing a multimedia patient-reported outcomes measure for low literacy patients with a human-centered design approach

Developing a multimedia patient-reported outcomes measure for low literacy patients with a human-centered design approach

Untitled

Untitled

Contact Info

Product

Resources

About