Literature DB >> 33346734

An Interactive Text Message Survey as a Novel Assessment for Bedtime Routines in Public Health Research: Observational Study.

George Kitsaras1, Michaela Goodwin1, Julia Allan2, Michael Kelly3, Iain Pretty1.   

Abstract

BACKGROUND: Traditional research approaches, especially questionnaires and paper-based assessments, limit in-depth understanding of the fluid dynamic processes associated with child well-being and development. This includes bedtime routine activities such as toothbrushing and reading a book before bed. The increase in innovative digital technologies alongside greater use and familiarity among the public creates unique opportunities to use these technical developments in research.
OBJECTIVE: This study aimed to (1) examine the best way of assessing bedtime routines in families and develop an automated, interactive, text message survey assessment delivered directly to participants' mobile phones and (2) test the assessment within a predominately deprived sociodemographic sample to explore retention, uptake, feedback, and effectiveness.
METHODS: A public and patient involvement project showed clear preference for interactive text surveys regarding bedtime routines. The developed interactive text survey included questions on bedtime routine activities and was delivered for seven consecutive nights to participating parents' mobile phones. A total of 200 parents participated. Apart from the completion of the text survey, feedback was provided by participants, and data on response, completion, and retention rates were captured.
RESULTS: There was a high retention rate (185/200, 92.5%), and the response rate was high (160/185, 86.5%). In total, 114 participants provided anonymized feedback. Only a small percentage (5/114, 4.4%) of participants reported problems associated with completing the assessment. The majority (99/114, 86.8%) of participants enjoyed their participation in the study, with an average satisfaction score of 4.6 out of 5.
CONCLUSIONS: This study demonstrated the potential of deploying SMS text message-based surveys to capture and quantify real-time information on recurrent dynamic processes in public health research. Changes and adaptations based on recommendations are crucial next steps in further exploring the diagnostic and potential intervention properties of text survey and text messaging approaches. ©George Kitsaras, Michaela Goodwin, Julia Allan, Michael Kelly, Iain Pretty. Originally published in JMIR Public Health and Surveillance (http://publichealth.jmir.org), 21.12.2020.

Entities:  

Keywords:  P4 health care; assessment; bedtime routines; child; development; digital technologies; mobile health; text survey; well-being

Mesh:

Year:  2020        PMID: 33346734      PMCID: PMC7781795          DOI: 10.2196/15524

Source DB:  PubMed          Journal:  JMIR Public Health Surveill        ISSN: 2369-2960


  28 in total

Review 1.  Behavior change interventions delivered by mobile telephone short-message service.

Authors:  Brianna S Fjeldsoe; Alison L Marshall; Yvette D Miller
Journal:  Am J Prev Med       Date:  2009-02       Impact factor: 5.043

2.  Changes in bedtime schedules and behavioral difficulties in 7 year old children.

Authors:  Yvonne Kelly; John Kelly; Amanda Sacker
Journal:  Pediatrics       Date:  2013-10-14       Impact factor: 7.124

3.  Improving oral health among schoolchildren - which approach is best?

Authors:  G Davies; C Bridgman
Journal:  Br Dent J       Date:  2011-01-22       Impact factor: 1.626

4.  The use of text messaging to improve attendance in primary care: a randomized controlled trial.

Authors:  Kwok Chi Leong; Wei Seng Chen; Kok Weng Leong; Ismail Mastura; Omar Mimi; Mohd Amin Sheikh; Abu Hassan Zailinawati; Chirk Jenn Ng; Kai Lit Phua; Cheong Lieng Teng
Journal:  Fam Pract       Date:  2006-08-17       Impact factor: 2.267

5.  P4 medicine: how systems medicine will transform the healthcare sector and society.

Authors:  Mauricio Flores; Gustavo Glusman; Kristin Brogaard; Nathan D Price; Leroy Hood
Journal:  Per Med       Date:  2013       Impact factor: 2.512

6.  Use of text messaging for monitoring sugar-sweetened beverages, physical activity, and screen time in children: a pilot study.

Authors:  Jennifer R Shapiro; Stephanie Bauer; Robert M Hamer; Hans Kordy; Dianne Ward; Cynthia M Bulik
Journal:  J Nutr Educ Behav       Date:  2008 Nov-Dec       Impact factor: 3.045

7.  Social and demographic predictors of preschoolers' bedtime routines.

Authors:  Lauren Hale; Lawrence M Berger; Monique K LeBourgeois; Jeanne Brooks-Gunn
Journal:  J Dev Behav Pediatr       Date:  2009-10       Impact factor: 2.225

Review 8.  Recruitment and retention of participants in randomised controlled trials: a review of trials funded and published by the United Kingdom Health Technology Assessment Programme.

Authors:  Stephen J Walters; Inês Bonacho Dos Anjos Henriques-Cadby; Oscar Bortolami; Laura Flight; Daniel Hind; Richard M Jacques; Christopher Knox; Ben Nadin; Joanne Rothwell; Michael Surtees; Steven A Julious
Journal:  BMJ Open       Date:  2017-03-20       Impact factor: 2.692

9.  Participatory medicine: a driving force for revolutionizing healthcare.

Authors:  Leroy Hood; Charles Auffray
Journal:  Genome Med       Date:  2013-12-23       Impact factor: 11.117

Review 10.  Information bias in health research: definition, pitfalls, and adjustment methods.

Authors:  Alaa Althubaiti
Journal:  J Multidiscip Healthc       Date:  2016-05-04
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  1 in total

1.  Using Interactive Text Messaging to Improve Diet Quality and Increase Redemption of Foods Approved by the Special Supplemental Nutrition Program for Women, Infants, and Children: Protocol for a Cohort Feasibility Study.

Authors:  Melissa C Kay; Nour M Hammad; Sharon J Herring; Gary G Bennett
Journal:  JMIR Res Protoc       Date:  2021-12-15
  1 in total

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