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Record W4321499621 · doi:10.1002/pne2.12096

Parenting Pain Away: Development and usability testing of an educational website about infant procedural pain management

2023· article· en· W4321499621 on OpenAlexafffundabout
Brianna Hughes, Ruth Martin‐Misener, Margot Latimer, Michael Smit, Patrick J. McGrath, Marsha Campbell‐Yeo

Bibliographic record

VenuePaediatric and Neonatal Pain · 2023
Typearticle
Languageen
FieldMedicine
TopicBreastfeeding Practices and Influences
Canadian institutionsNova Scotia Health AuthorityIzaak Walton Killam Health CentreDalhousie University
FundersCanadian Institutes of Health ResearchDalhousie UniversityNova Scotia Health Research FoundationCanadian Nurses Foundation
KeywordsUsabilityDemographicsBreastfeedingPopulationMedicineThink aloud protocolDescriptive statisticsPain managementPsychologyNursingFamily medicineClinical psychologyPhysical therapyPediatricsDemographyComputer science

Abstract

fetched live from OpenAlex

Abstract All newborns undergo minor painful procedures (e.g., injections). Despite strong evidence supporting parents' efficacy to reduce procedural pain (e.g., breastfeeding), parents remain an underutilized resource. Limited evidence‐based resources about infant procedural pain management targeting parents in the perinatal period exist. We co‐created Parenting Pain Away, a website to enhance parents' access to information and participation in procedural pain management following birth. This study aimed to conduct iterative usability testing with the perinatal population to refine Parenting Pain Away based on target users' identified needs and satisfaction. In 2020, parents of healthy newborns or expectant parents from an Atlantic Canadian province, participated in two iterative cycles of usability testing of Parenting Pain Away. Through recorded interviews, participants were directed to use the “Think Aloud” approach (e.g., verbalize what they see, think, feel) as they navigated through the website. Participants completed online questionnaires related to demographics and user satisfaction, measured by the Post Study System Usability Questionnaire (PSSUQ). Descriptive statistics and content analysis were conducted to analyze the data. In total, there were 10 participants with an average age of 29.9 years (SD = 3.9). Participants identified as mothers ( n = 7) or fathers ( n = 3) and were expecting ( n = 6) or had a newborn ( n = 4). The PSSUQ overall scores were 1.84 (SD = 0.55) and 1.34 (SD = 0.49) in Cycles 1 and 2, respectively, indicating high user satisfaction on the 7‐point scale. When comparing between the two cycles, the average overall score was lower in Cycle 2, suggesting improved satisfaction. Participants provided positive feedback about the website and suggested major refinements to simplify content and site navigation. Findings from usability testing cycles were used to inform refinements of the Parenting Pain Away in response to participant satisfaction and feedback. Engaging target users in the development process enhanced this website in preparation for further effectiveness testing.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.586
Threshold uncertainty score0.553

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.019
GPT teacher head0.272
Teacher spread0.252 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2023
Admission routes3
Has abstractyes

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