Overall Assessment: Good, Feasible Topic for a CRRI Project
Your topic — "Association between digital health information exposure and pregnancy-related knowledge among antenatal mothers attending a tertiary-care hospital" — is well-suited for a CRRI community medicine project. Here's why, then a full walkthrough of your protocol using the exact structure in your notes.
Strengths:
- Cross-sectional, observational, no intervention → ethically simple, feasible in 3 months, no follow-up needed
- Topic is current and internationally relevant — recent 2025 systematic reviews confirm active research interest (digital health in pregnancy is a "hot" area), but a specific tertiary-care hospital, exposure-vs-knowledge association study in India is still a genuine local gap — most existing literature is qualitative or from high-income countries.
- Data is easily collectible via a single-sitting questionnaire in the ANC OPD — realistic for a 3-month CRRI window.
- Naturally links to your interest categories (ANC/PNC/MCH) that you scribbled in your notes.
Weaknesses to fix before finalizing:
- "Digital health information exposure" is vague — you must operationally define it (see below) or reviewers/guide will ask.
- "Pregnancy-related knowledge" also needs a defined, scorable domain (e.g., danger signs, nutrition, birth preparedness, breastfeeding) — don't try to cover all of obstetric knowledge.
- Association ≠ causation — a cross-sectional design can only show association; say so explicitly, don't overclaim causality.
Refining the Title (optional but recommended)
Something like: "Association between exposure to digital sources of health information and knowledge regarding antenatal care among pregnant women attending the antenatal OPD of a tertiary-care hospital: a cross-sectional study." This is more defensible when you write the Materials & Methods.
Walking Through Your Protocol Structure
1. Background/Introduction (Broad → Narrow → Gap)
Funnel like this:
- Para 1: Global burden — maternal mortality/morbidity, importance of ANC knowledge in reducing complications (WHO/Govt of India data).
- Para 2: Shift in health information seeking — smartphone penetration, internet use in India, rise of WhatsApp/YouTube/pregnancy apps/government tools (e.g. mMitra, Kilkari) as parallel/alternative sources to doctor/ANC counselling.
- Para 3: What's known — cite the literature you'll find (see below), including recent reviews (2025) showing mixed effects of digital health tools on maternal knowledge/behavior.
- Para 4 (the Gap, circle it like your notes): Most studies look at digital health interventions (apps designed by researchers) or are qualitative; few quantify the association between real-world spontaneous digital information exposure and actual knowledge scores in Indian tertiary hospital ANC attendees. This justifies your study.
Relevant literature to cite:
- Systematic review on digital health interventions in high-risk pregnancies (2025) - useful as background on effectiveness of digital tools generally.
- Qualitative work on digital health literacy in pregnancy showing internet as a major information source but with validity concerns - good for your rationale.
- Development of an e-health literacy scale specific to pregnant women (multi-dimensional, Cronbach's alpha 0.937) - useful methodological reference for your tool.
2. Aim & Objectives
- Aim: To study the association between digital health information exposure and pregnancy-related knowledge among antenatal mothers attending the ANC OPD of [hospital name].
- Primary objective: To assess the level of pregnancy-related knowledge among antenatal mothers and its association with digital health information exposure.
- Secondary objectives (your "1°/2°" notation):
- To determine the proportion of antenatal mothers exposed to digital sources of health information (type, frequency, platforms used).
- To assess the level of knowledge regarding antenatal care/danger signs/nutrition among study participants.
- To find the association between socio-demographic factors (age, education, parity, socioeconomic status) and knowledge level.
3. Review of Literature
Organize by:
- Studies on internet/social media use in pregnancy (India + globally)
- Studies on ANC knowledge levels (KAP studies) in Indian tertiary hospitals
- Studies validating digital/eHealth literacy tools in pregnant populations
I found these to get you started (present each as: author, year, design, sample, key finding, and how it differs from your study):
- Development and validation of an e-health literacy scale for pregnant women (mHealth, 2025) — gives you a validated multi-dimensional tool (22 items, 4 domains: acquisition, evaluation, interaction, application) you can adapt.
- Norman & Skinner, eHEALS: The eHealth Literacy Scale — the original 8-item generic tool, widely used, easy to adapt/translate.
- Qualitative study on digital health literacy and learning needs in pregnancy (European Journal of Midwifery) — shows internet is a top information source but women worry about validity — strengthens your gap statement.
- Systematic reviews on digital health interventions in pregnancy (2025) — background on effectiveness, mixed evidence.
Note on recency check: A quick check for very recent (2024-2025) systematic reviews/meta-analyses on this exact exposure-knowledge association in tertiary hospital settings did not surface anything that would overturn your rationale — the field is still dominated by intervention trials and qualitative work, supporting your originality claim. PMIDs for the above: 40951455, 40017308, 38214971.
4. Materials & Methodology
i) Study design: Cross-sectional, analytical (observational) study — correctly noted in your protocol.
ii) Study area: ANC OPD of [your tertiary-care hospital, e.g., attached teaching hospital].
iii) Study population: Antenatal mothers attending ANC OPD during the study period.
iv) Study duration: 3 months (as you noted) — realistic for CRRI; roughly:
- Month 1: Finalize protocol, IEC submission/approval, pretest questionnaire, pilot study (10% of sample)
- Month 2: Data collection
- Month 3: Data entry, analysis, write-up
v) Inclusion criteria:
- Pregnant women attending ANC OPD during study period
- Willing to give informed consent
- Owns/has access to a smartphone or has used internet/digital media at least once during current pregnancy (relevant for the "exposed" arm; if you want the full spectrum, don't restrict — just record exposure status for everyone)
- Age ≥18 years (avoid consent complications with minors)
vi) Exclusion criteria:
- Not willing to participate
- Unable to communicate/comprehend the questionnaire (e.g., severe illness, cognitive impairment)
- High-risk pregnancy requiring immediate attention (to avoid interfering with care)
vii) Sample size (your formula n = Z²pq/d²):
Since no strong local prevalence estimate exists for "adequate knowledge," conservatively take p = 50% (0.5):
- Z = 1.96 (95% CI), p = 0.5, q = 0.5, d = 0.05 (absolute precision)
- n = (1.96² × 0.5 × 0.5) / 0.05² = 384
- Add ~10% for non-response/incomplete forms → ~420-425
If a pilot or prior local KAP study gives you a more specific "% with adequate knowledge" (say 40-60%), recalculate with that p — this is more defensible to your guide/IEC than assuming 50% blindly. Cite the source study you used for p.
viii) Sampling method: Consecutive/systematic sampling of ANC OPD attendees until sample size is reached (most practical for OPD settings) — mention this explicitly rather than leaving it blank.
ix) Study tools: A pre-tested, structured, interviewer-administered questionnaire (translated into local language) with three sections:
- Socio-demographic profile (age, education, parity, gravida, SES via a validated scale e.g. B.G. Prasad or Kuppuswamy)
- Digital health information exposure — adapt a short version of eHEALS or the pregnancy-specific e-health literacy scale (acquisition/evaluation/application items), plus simple items on: which platforms (WhatsApp, YouTube, Google, Instagram/Facebook groups, government apps like mMitra), frequency of use, and trust in the information
- Pregnancy-related knowledge score — a validated ANC knowledge questionnaire (danger signs of pregnancy, nutrition, birth preparedness, breastfeeding, immunization) — you can build this from WHO/Govt of India ANC guidelines and validate via expert content validity + pilot Cronbach's alpha
Pretest on 10% of sample size in a similar setting (not included in final analysis) before starting.
x) Study procedure: Briefly — after informed consent, eligible women interviewed in a private space in the OPD, questionnaire administered face-to-face, ~15-20 min, data recorded on paper/digital form (Google Forms/KoboToolbox work well and are free, since your notes mention Zoho — Zoho Forms/Survey also works).
xi) Ethical considerations: Institutional Ethics Committee (IEC) approval, written informed consent, voluntary participation with no effect on care received, confidentiality of data, no invasive procedure.
xii) Statistical analysis: SPSS 21 (as noted) —
- Descriptive stats: proportions, mean ± SD for knowledge score
- Categorize "exposed" vs "not exposed" to digital health info (or level of exposure — low/moderate/high)
- Categorize knowledge as adequate/inadequate using a cutoff (e.g., median split or ≥60% correct)
- Association: Chi-square test (categorical exposure vs knowledge category); if continuous, unpaired t-test/ANOVA; multivariable binary logistic regression to adjust for confounders (education, parity, SES, age) and report adjusted odds ratio (AOR) with 95% CI
- p < 0.05 significance
5. Data Collection → Results → Discussion
- Present results as tables: socio-demographic profile, exposure prevalence, knowledge score distribution, cross-tabulation of exposure vs knowledge, regression table.
- Discussion: compare your findings with the literature reviewed (proportions of exposure, knowledge adequacy, strength of association) — explicitly state agreement/disagreement with the studies cited above.
6. Strengths & Limitations
- Strengths: adequately powered sample, validated tools, tertiary-care setting generalizable to referral population.
- Limitations: cross-sectional design (no causality), single-center (limited generalizability), self-reported exposure (recall/social desirability bias), interviewer-administered (possible interviewer bias).
7. Conclusion, Recommendations, References
- Recommendations should be actionable for a CRRI-level paper: e.g., healthcare providers actively curate/recommend trusted digital resources (government apps, verified YouTube channels) during ANC visits, health education modules incorporating digital literacy.
- References: Vancouver style, include the WHO ANC guidelines, Park's PSM chapter on antenatal care and health education, and the studies identified above.
Practical Tips for You as a CRRI
- Coordinate early with your community medicine guide on the exact knowledge domains and the exposure tool — get their sign-off before finalizing the questionnaire, since IEC approval and pretesting take time within your 3-month window.
- Submit IEC application in week 1 — approval can take 2-4 weeks; don't lose time.
- Use Google Forms or KoboToolbox for data entry directly on a tablet/phone during interviews to save transcription time — syncs well with your "Zoho software" plan too.
- Keep the knowledge questionnaire short and validated (10-15 items) — pilot it for internal consistency (Cronbach's alpha ≥0.7) before rollout.
- Since you have only 3 months, consecutive sampling in the OPD (rather than random sampling from a list) is the most time-efficient and standard for CRRI-level cross-sectional studies.
This is a strong, doable topic — the main things to lock down before you start data collection are (a) the operational definition of "digital health information exposure," (b) the specific knowledge domain and its scoring cutoff, and (c) IEC approval timeline.