"let me know if you need anything"

Prabhakar, Annu Sible; Guerra‐Reyes, Lucia; Effron, Anne; Kleinschmidt, Vanessa M.; Driscoll, Maggie; Peters, C. W.; Pereira, Vanessa J.; Alshehri, Majdah; Ongwere, Tom; Siek, Katie A.

doi:10.1145/3154862.3154863

Cited by 29 publications

(6 citation statements)

References 31 publications

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“…Miscarriage often occurs during this period, and women described this as “very difficult from a mental health point of view actually, you are just sort of told ‘Sorry, that was a miscarriage, off you go’” (P6). Recognition of the first trimester as a medical and informational gap in line with changes to women’s needs over time mirrors previous design research findings [23,29].…”

Section: Resultssupporting

confidence: 70%

“…Peyton et al developed a set of design requirements for mobile health (mHealth) interventions to support physically healthy pregnancies in the context of a “pregnancy ecology” comprising physical, emotional, informational, and social support aspects [28]. Building on this work, Prabhakar et al have proposed a “design framework” for maternal support interventions, the Evolving Ecology of Support, entailing support needs, sources, and interventions [29].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Mobile App for the Self-Report of Psychological Well-Being During Pregnancy (BrightSelf): Qualitative Design Study

Doherty¹,

Barry²,

Belisario³

et al. 2018

JMIR Ment Health

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BackgroundMaternal mental health impacts both parental well-being and childhood development. In the United Kingdom, 15% of women are affected by depression during pregnancy or within 1 year of giving birth. Suicide is a leading cause of perinatal maternal mortality, and it is estimated that >50% of perinatal depression cases go undiagnosed. Mobile technologies are potentially valuable tools for the early recognition of depressive symptoms, but complex design challenges must be addressed to enable their use in public health screening.ObjectiveThe aim of this study was to explore the issues and challenges surrounding the use of mobile phones for the self-report of psychological well-being during pregnancy.MethodsThis paper presents design research carried out as part of the development of BrightSelf, a mobile app for the self-report of psychological well-being during pregnancy. Design sessions were carried out with 38 participants, including pregnant women, mothers, midwives, and other health professionals. Overall, 19 hours of audio were fully transcribed and used as the basis of thematic analysis.ResultsThe study highlighted anxieties concerning the pregnancy journey, challenges surrounding current approaches to the appraisal of well-being in perinatal care, and the midwife-patient relationship. Designers should consider the framing of perinatal mental health technologies, the experience of self-report, supporting self-awareness and disclosure, providing value to users through both self-report and supplementary features, and designing for longitudinal engagement.ConclusionsThis study highlights the needs, motivations, and anxieties of women with respect to technology use in pregnancy and implications for the design of mobile health technologies.

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Section: Resultssupporting

confidence: 70%

Section: Introductionmentioning

confidence: 99%

A Mobile App for the Self-Report of Psychological Well-Being During Pregnancy (BrightSelf): Qualitative Design Study

Doherty¹,

Barry²,

Belisario³

et al. 2018

JMIR Ment Health

View full text Add to dashboard Cite

show abstract

“…Site REUs and research group affiliated REUs have contributed to seven full conference papers [3,10,12,16,18,22,24] -including 3 highly competitive conferences [3,16,18] and a best paper award [24]. In addition, they have presented 3 workshop papers [2,7,21] and placed in the ACM Undergraduate Research Competition at SIGCHI [5,27]).…”

Section: Site Resultsmentioning

confidence: 99%

Utilizing the Affinity Research Group Model in a Summer Research Experience for Undergraduates Program

Jelen

Dunbar

Monsey

et al. 2019

Proceedings of the 50th ACM Technical Symposium on Computer Science Education

Self Cite

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In this paper, we describe how we integrated the Affinity Research Group (ARG) model into a 10-week summer research experience for undergraduates (REU) over the last three years. Each summer, ten REU students participated in: an annual two-day team-building orientation; a four day long ramp-up session to learn about REU projects and the skill sets they would need to master; weekly meetings with graduate and faculty mentors to define objectives, deliverables, and progress; and weekly skill development workshops to learn how to conduct research, prepare for future endeavors, and present oneself in professional settings. A total of seven faculty and twelve graduate students participated in ARG model process meetings to ensure students received comparable experiences and facilitated professional development activities. We provide an overview of our REU ARG model experience and reflect on improvements based on faculty mentor, graduate mentor, and undergraduate researchers' experiences. CCS CONCEPTS • Social and professional topics → Computing education; Computing education programs; • Applied computing → Health informatics;

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“…The researchers found that online communities provided invaluable support, but participants needed more tangible support. Prabhakar et al utilized ARC to understand the needs of 10 first-time pregnant women, 20 pregnant mothers with children, and 18 new mothers via a secret Facebook group [18,32]. They found that pregnant women and new mothers considered their partner as the primary source of support, however their instrumental support needs and the people they turned to for assistance changed after they had their baby, thus other forms of social connectedness were needed [32].…”

Section: Appropriating Mainstream Technologymentioning

confidence: 99%

“…Prabhakar et al utilized ARC to understand the needs of 10 first-time pregnant women, 20 pregnant mothers with children, and 18 new mothers via a secret Facebook group [18,32]. They found that pregnant women and new mothers considered their partner as the primary source of support, however their instrumental support needs and the people they turned to for assistance changed after they had their baby, thus other forms of social connectedness were needed [32]. Similar to qualitatively analyzing social media, ARC provided researchers with the ability to better understand underrepresented groups of people who are not geographically co-located (e.g., people with rare diseases) or have time and personal constraints (e.g., women with infants).…”

Section: Appropriating Mainstream Technologymentioning

confidence: 99%

Expanding Human Computer Interaction Methods to Understand User Needs in the Design Process of Personal Health Systems

Siek

2018

Yearb Med Inform

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The medical informatics community is encouraged to ensure that we are designing health technology for all individuals - including underrepresented and underserved populations - by investigating the complex needs of target users. This paper summarizes the novel ways researchers have explored target populations via social media and engaged populations as part of the design team. Medical informaticians should continue investigating the soundness of these methods by comparing the design outcomes with currently utilized user-centered methods and to report on unintended consequences.

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"let me know if you need anything"

Cited by 29 publications

References 31 publications

A Mobile App for the Self-Report of Psychological Well-Being During Pregnancy (BrightSelf): Qualitative Design Study

A Mobile App for the Self-Report of Psychological Well-Being During Pregnancy (BrightSelf): Qualitative Design Study

Utilizing the Affinity Research Group Model in a Summer Research Experience for Undergraduates Program

Expanding Human Computer Interaction Methods to Understand User Needs in the Design Process of Personal Health Systems

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