Evaluation of Mobile Applications Intended to Aid in Conception Using a Systematic Review Framework
| Autor: | Timothy C. Hutcherson, Nicole E. Cieri-Hutcherson, Peter J. Donnelly, Michael L. Feneziani, Kristina M. R. Grisanti |
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| Rok vydání: | 2019 |
| Předmět: |
Service (systems architecture)
Medical terminology 020205 medical informatics Glossary Privacy policy Health literacy 02 engineering and technology 03 medical and health sciences 0302 clinical medicine Patient Education as Topic Pregnancy mental disorders 0202 electrical engineering electronic engineering information engineering Humans Medicine Pharmacology (medical) Relevance (information retrieval) 030212 general & internal medicine Medical education business.industry Natural Family Planning Methods Mobile Applications Layperson Data extraction Fertilization Female Smartphone business |
| Zdroj: | Annals of Pharmacotherapy. 54:178-186 |
| ISSN: | 1542-6270 1060-0280 |
| DOI: | 10.1177/1060028019876890 |
| Popis: | Objective: This review identified and evaluated apps intended to aid women in conception that were available across major mobile platforms; secondary objectives were to highlight additional criteria and considerations when evaluating conception-related apps. Data Sources: Apple iTunes and Google Play stores were searched using the keywords conception, fertility, and pregnant. Data Selection: Included apps were as follows: contained in the first 50 search results; presented in English; intended for layperson use; updated July 1, 2018, or after; marketed as a conception aid; and used a defined fertility tracking method. Excluded apps were intended for men only, marketed for contraception only, promoted a single fertility service or branded product, or not found in both app stores. Data Extraction: Apps were evaluated using the adapted APPLICATIONS Scoring System. Two additional criteria were assessed: inclusion of a privacy policy and inclusion of a search function, medical terminology glossary, or Frequently Asked Questions section. Data Synthesis: A total of 300 apps were screened; 7 app pairs were analyzed. Scores ranged from 9 to 13 of a possible 15 points (mean = 11; median = 11). No app reported advisement from a health professional during development. Relevance to Patient Care in Clinical Practice: Widely available apps that score highly per the adapted APPLICATIONS Scoring System may be considered for use by and recommended to women seeking apps useful for conception. Conclusion: Evaluation tools should evolve as app features change. Criteria related to privacy and search functions that promote health literacy should be considered for future app evaluation tools. |
| Databáze: | OpenAIRE |
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