A Mobile Health Data Collection System for Remote Areas to Monitor Women Participating in a Cervical Cancer Screening Campaign

Telemed J E Health. 2018 Apr;24(4):277-282. doi: 10.1089/tmj.2017.0146. Epub 2017 Aug 28.


Background: Barriers to efficient cervical cancer screening in low- and medium-income countries include the lack of systematic monitoring of the participants' data. The aim of this study was to assess the feasibility of a mobile health (m-Health) data collection system to facilitate monitoring of women participating to cervical cancer screening campaign.

Methods: Women aged 30-65 years, participating in a cervical cancer screening campaign in Ambanja, Madagascar, were invited to participate in the study. Cervical Cancer Prevention System, an m-Health application, allows the registration of clinical data, while women are undergoing cervical cancer screening. All data registered in the smartphone were transmitted onto a secure, Web-based platform through the use of an Internet connection. Healthcare providers had access to the central database and could use it for the follow-up visits. Quality of data was assessed by computing the percentage of key data missing.

Results: A total of 151 women were recruited in the study. Mean age of participants was 41.8 years. The percentage of missing data for the key variables was less than 0.02%, corresponding to one woman's medical history data, which was not sent to the central database. Technical problems, including transmission of photos, human papillomavirus test results, and pelvic examination data, have subsequently been solved through a system update.

Conclusion: The quality of the data was satisfactory and allowed monitoring of cervical cancer screening data of participants. Larger studies evaluating the efficacy of the system for the women's follow-up are needed in order to confirm its efficiency on a long-term scale.

Keywords: cervical cancer screening; low-resource settings; m-Health; patient record; telemedicine.

MeSH terms

  • Adult
  • Aged
  • Data Collection / methods*
  • Early Detection of Cancer / methods*
  • Female
  • Humans
  • Madagascar
  • Middle Aged
  • Mobile Applications*
  • Papillomavirus Infections / diagnosis
  • Photography
  • Uterine Cervical Neoplasms / diagnosis*