Semin Reprod Med 2018; 36(01): 059-065
DOI: 10.1055/s-0038-1667187
Review Article
Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.

Ask PCOS: Identifying Need to Inform Evidence-Based App Development for Polycystic Ovary Syndrome

Jacqueline A. Boyle
1   Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, Victoria, Australia
2   Department of Obstetrics and Gynaecology, Monash Health, Clayton, Victoria, Australia
,
Rebecca Xu
3   Monash University, Faculty of Medicine, Nursing and Health Sciences, Clayton, Victoria, Australia
,
Emily Gilbert
1   Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, Victoria, Australia
,
Millicent Kuczynska-Burggraf
1   Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, Victoria, Australia
,
Bryan Tan
5   Monash Health, Clayton, Victoria, Australia
,
Helena Teede
1   Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, Victoria, Australia
4   Department of Endocrinology, Monash Health, Clayton, Victoria, Australia
,
Amanda Vincent
1   Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, Victoria, Australia
4   Department of Endocrinology, Monash Health, Clayton, Victoria, Australia
,
Melanie Gibson-Helm
1   Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, Victoria, Australia
› Author Affiliations
Further Information

Publication History

Publication Date:
06 September 2018 (online)

Abstract

Background People are increasingly seeking health information and managing their health through electronic technologies. We aimed to determine if women with polycystic ovary syndrome (PCOS) identified a need for PCOS-related mobile health apps and to evaluate related apps currently available.

Design A national survey of women and a review of apps available on the iOS and Android platforms.

Setting Community recruitment in Australia in 2016 and review of mobile apps available in 2017.

Sample The survey received 264 responses. Sixteen apps related to PCOS were evaluated.

Main Outcome MeasuresSurvey: Women's likeliness to use mobile health apps, specifically a PCOS-related app and preferred features of apps. App review: Mapping of available apps and evaluation using the Mobile Application Rating Scale (MARS).

Results Of 264 respondents, almost all women had a smartphone (98%), 72% had previously used an app to manage their health, and most (91%) would use a PCOS-specific app if available. The most important feature was the availability of current, evidence-based information. Current apps on PCOS lack provision of quality information.

Conclusion Women with PCOS would use a PCOS-specific app of good quality that responds to their needs and facilitates self-care; however, currently available apps are unlikely to meet their information needs.

Supplementary Material

 
  • References

  • 1 Bozdag G, Mumusoglu S, Zengin D, Karabulut E, Yildiz BO. The prevalence and phenotypic features of polycystic ovary syndrome: a systematic review and meta-analysis. Hum Reprod 2016; 31 (12) 2841-2855
  • 2 Cussons AJ, Watts GF, Burke V, Shaw JE, Zimmet PZ, Stuckey BG. Cardiometabolic risk in polycystic ovary syndrome: a comparison of different approaches to defining the metabolic syndrome. Hum Reprod 2008; 23 (10) 2352-2358
  • 3 Moran LJ, Misso ML, Wild RA, Norman RJ. Impaired glucose tolerance, type 2 diabetes and metabolic syndrome in polycystic ovary syndrome: a systematic review and meta-analysis. Hum Reprod Update 2010; 16 (04) 347-363
  • 4 Cooney LG, Lee I, Sammel MD, Dokras A. High prevalence of moderate and severe depressive and anxiety symptoms in polycystic ovary syndrome: a systematic review and meta-analysis. Hum Reprod 2017; 32 (05) 1075-1091
  • 5 Barnard L, Ferriday D, Guenther N, Strauss B, Balen AH, Dye L. Quality of life and psychological well being in polycystic ovary syndrome. Hum Reprod 2007; 22 (08) 2279-2286
  • 6 Kiddy DS, Sharp PS, White DM. , et al. Differences in clinical and endocrine features between obese and non-obese subjects with polycystic ovary syndrome: an analysis of 263 consecutive cases. Clin Endocrinol (Oxf) 1990; 32 (02) 213-220
  • 7 Ehrmann DA, Liljenquist DR, Kasza K, Azziz R, Legro RS, Ghazzi MN. ; PCOS/Troglitazone Study Group. Prevalence and predictors of the metabolic syndrome in women with polycystic ovary syndrome. J Clin Endocrinol Metab 2006; 91 (01) 48-53
  • 8 Saini S, Gibson-Helm M, Cooney L, Teede H, Dokras A. Gaps in knowledge in diagnosis and management of polycystic ovary syndrome. Fertil Steril 2016; 106 (03) e100
  • 9 Gibson-Helm ME, Lucas IM, Boyle JA, Teede HJ. Women's experiences of polycystic ovary syndrome diagnosis. Fam Pract 2014; 31 (05) 545-549
  • 10 Teede HJ, Costello MF, Dokras A. , et al. Recommendations from the international evidence-based guideline for the assessment and management of polycystic ovary syndrome. Fertil Steril 2018; 110 (03) DOI: 10.1016/j.fertnstert.2018.05.004.
  • 11 WORLDBANK. Mobile cellular subscriptions (per 100 people). Available at: http://data.worldbank.org/indicator/IT.CEL.SETS.P2?cid=ECR_GA_HPlaunch_exWBData_EN_EXTP&gclid=CISbx4ThmdMCFWMq0wodH5oDPg&locations=PK2017 . Accessed July 24, 2018
  • 12 Fox S, Duggan M. Mobile Health 2012. Pew Research Center's Internet & American Life Project. Vol. 2018. Pew Research Center; 2012
  • 13 Newbold T. What do patients and carers need in health apps - but are not getting?. Vol. 2018: PatientView; 2015
  • 14 Stoyanov SR, Hides L, Kavanagh DJ, Zelenko O, Tjondronegoro D, Mani M. Mobile app rating scale: a new tool for assessing the quality of health mobile apps. JMIR Mhealth Uhealth 2015; 3 (01) e27
  • 15 Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics 1977; 33 (01) 159-174
  • 16 Khan NN, Vincent A, Boyle JA. , et al. Development of a question prompt list for women with polycystic ovary syndrome. Fertil Steril 2018. Available at: https://www.fertstert.org/ . Accessed July 24, 2018
  • 17 Freis A, Freundl-Schütt T, Wallwiener LM. , et al. Plausibility of menstrual cycle apps claiming to support conception. Front Public Health 2018; 6: 98
  • 18 Johnson S, Marriott L, Zinaman M. Can apps and calendar methods predict ovulation with accuracy?. Curr Med Res Opin 2018; 1-8 . DOI: 10.1080/03007995.2018.1475348
  • 19 Moorhead SA, Hazlett DE, Harrison L, Carroll JK, Irwin A, Hoving C. A new dimension of health care: systematic review of the uses, benefits, and limitations of social media for health communication. J Med Internet Res 2013; 15 (04) e85
  • 20 Shamima A, Kusakabe K. Gender-based violence among documented Rohingya refugees in Bangladesh. Indian J Gend Stud 2014; 21 (02) 225-246
  • 21 Zhenwei Qiang C, Yamamichi M, Hausman V, Miller R, Altman D. Mobile Applications for the Health Sector. Washington, DC: ICT Sector Unit, World Bank; 2018
  • 22 Khatun F, Heywood AE, Hanifi SMA. , et al. Gender differentials in readiness and use of mHealth services in a rural area of Bangladesh. BMC Health Serv Res 2017; 17 (01) 573
  • 23 Derbyshire E, Dancey D. Smartphone medical applications for women's health: what is the evidence-base and feedback?. Int J Telemed Appl 2013; 2013: 782074