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Record W2795329244 · doi:10.2196/formative.8112

A Spiritually-Based Text Messaging Program to Increase Cervical Cancer Awareness Among African American Women: Design and Development of the CervixCheck Pilot Study

2018· article· en· W2795329244 on OpenAlexvenueno aff
Daisy Le, Linda Aldoory, Mary A. Garza, Craig S. Fryer, Robin G. Sawyer, Cheryl L. Holt

Bibliographic record

VenueJMIR Formative Research · 2018
Typearticle
Languageen
FieldMedicine
TopicGlobal Cancer Incidence and Screening
Canadian institutionsnot available
FundersUniversity of Maryland
KeywordsCervical cancerAfrican americanHealth equityMedicineGerontologyIncidence (geometry)Ethnic groupFraming (construction)GynecologyCancerPublic healthNursingPolitical scienceSociologyHistoryInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Although Hispanic women have the highest cervical cancer incidence rate, African American women account for a disproportionate burden of cervical cancer incidence and mortality when compared with non-Hispanic white women. Given that religion occupies an essential place in African American lives, delivering health messages through a popular communication delivery channel and framing them with important spiritual themes may allow for a more accessible and culturally appropriate approach to promoting cervical cancer educational content to African American women. OBJECTIVE: The aim of this paper was to describe the design and development of the CervixCheck project, a spiritually based short message service (SMS) text messaging pilot intervention to increase cervical cancer awareness and Papanicolaou test screening intention among church-attending African American women aged 21 to 65 years. METHODS: Through focus group interviews (n=15), formative research was conducted to explore facilitators, motivators, and barriers to cervical cancer screening. The interviews were also used to identify logistical factors that should be considered when developing the CervixCheck intervention. Culturally appropriate and spiritually grounded SMS text messages were developed based on the analysis of focus group data and the review of previous studies that incorporated technology into health behavior change interventions. After the CervixCheck intervention was developed, cognitive response interviews (n=8) were used to review the content of the SMS text messaging library, to ensure that the content was acceptable and understandable, particularly for church-attending African American women aged 21 to 65 years. RESULTS: Design and development of the SMS text messages involved consideration of the content of the messages and technological specifications. Focus group participants overwhelmingly reported cell phone use and an interest in receiving spiritually based SMS text messages on cervical cancer prevention and early detection. Findings from the cognitive response interviews revealed that the content of the SMS text messaging library was acceptable and understandable with the target population. The revised SMS text messaging library currently includes 22 messages for delivery over 16 days, averaging 11 texts per week, with no more than two messages delivered per day. Initial usability testing also showed early feasibility. CONCLUSIONS: The design and development of the CervixCheck intervention provides important insight into what may be considered an overlooked minority population and missed opportunity in health information technology research. With increased internet penetration through the use of mobile phones, it is appropriate to investigate the viability of technology as a means to reach minority communities and to reduce health disparities.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.250
Threshold uncertainty score0.589

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
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 head0.178
GPT teacher head0.465
Teacher spread0.287 · 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

Citations35
Published2018
Admission routes1
Has abstractyes

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