ArticleHealth science reports2025
Exploring the Requirements for an mHealth App to Prevent and Manage Perinatal Anxiety and Depression.
Article in Health science reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and Aims: Despite the positive impacts of mHealth apps reported for several illnesses, evidence shows that mHealth applications developed for perinatal depression and anxiety are of moderate quality. The needs assessment of stakeholders to extract the requirements is pivotal for developing a successful app. This study aims to determine the requirement of a mHealth app for preventing and managing perinatal depression and anxiety. Method: This mixed-methods study was conducted based on four stages. Firstly, requirements were identified through a literature review. Secondly, the draft requirements were presented to an expert panel for review and confirmation. Fifteen experts participated in validating the requirements through the Content Validity Ratio (CVR) and Content Validity Index (CVI). Finally, the Delphi technique was performed to determine the final functional requirements. Results: The literature review retrieved 34 relevant articles and three guidelines. A total of 163 requirements were extracted through a literature search. The expert panel revision resulted in 87 requirements in 13 categories. Seven requirements were removed following CVI and CVR calculation. After the Delphi technique, five requirements were removed. The final list included 75 requirements categorized into 13 groups, including socio-demographic information, pregnancy and delivery, medical history, medication, screening, self-empowerment, warning/reminder, monitoring, consultation, forum, reports, interface/framing, and security and confidentiality. Conclusion: These requirements have the potential to help app developers design and assess their apps, and for patients to assess the apps targeting the prevention and management of perinatal depression and anxiety. Further research is required to address the generalizability of this requirement set.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.