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Assessing the Learning Needs of Maternal and Child Health Professionals to Teach Health Promotion

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Abstract

Objective: To assess skills and preferred learning formats in teaching health promotion (HP). Methods: A self-administered needs assessment of Maternal and Child Health (MCH) educators from multiple disciplines was conducted on a convenience sample taken nationally via e-mail using Dillman's method. Respondents rated ability to use, and desire to improve skills in, different teaching strategies (brainstorming, case method, collaborative learning, mini-presentation, reflective exercise, role play) and health concepts (partnership, communication, HP/illness prevention, time management, education, advocacy). Preferred learning formats were assessed with 5-point Likert scale and were analyzed using ANOVA. Results: Fifty-seven percent of respondents (n = 180) taught in an urban setting, 26% suburban, and 17% rural. Most taught at academic health centers (35%), public health clinics (25%), or hospitals (17%). Seventy-five percent were female; average age was 42 years (SD-9.1 years). Specific disciplines showed no major difference in mean responses compared with others. The greatest barriers to integrating HP into teaching were time (82%) and budget (58%). Although a majority of all respondents felt comfortable in their abilities to use the teaching strategies and concepts, an equal percentage still wanted to improve these skills. One-third of respondents had experience using web-based study; 64% of them indicated web-based study as their preferred method of continuing education. Conclusions: While a majority of MCH educators felt confident using various teaching strategies to teach the integration of HP into practice, most still wished to improve their personal skills. Use of an inexpensive, time-efficient modality to access and learn to teach HP was appealing to respondents across disciplines.

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REFERENCES

  1. US Department of Health and Human Resources Maternal and Child Health Bureau. Child Health USA 2001. January 1, 2002.

  2. Forum on Child and Family Statistics. America's children: Key national indicators of Well-Being 2002. Federal Interagency Forum on child and family statistics. January 1, 2002.

  3. World Health Organization, W. H. The World Health Report 1998: Executive summary. December 2, 2002.

  4. Brown BV, Kinkukawa A, Michelsen E, Moore A, Moore KA, Sugland BW A century of children's health and well-being. Child Trends Research Brief. December 6, 2002. www.childtrends.org

  5. Child Trends DataBank. Overweight children and youth. Retrieved from www.childtrendsdatabank.org/health\status/15OverweightChildrenYouth.htm

  6. Child Trends DataBank. Vigorous physical activity by youth. Retrieved from www.childtrendsdatabank.org/health/behaviors/16physicalactivity.htm

  7. Health Consequences. Nutrition and physical activity. Retrieved from www.cdc.gov/nccdphp/dnpa/obesity/consequences.htm

  8. Green M, Palfrey J. Bright Futures: Guidelines for health supervision of infants, children, and adolescents. Arlington, VA: National Center for Education in Maternal and Child Health, 2002.

    Google Scholar 

  9. Kerka S. Distance learning, the Internet, and the World Wide Web. ED395214 1996.

  10. Cohen PA, Dacanay LS. Computer-based instruction and health professions education: A meta-analysis of outcomes. Eval Health Prof 1992;15:259–81.

    Google Scholar 

  11. Atack L, Rankin JA. descriptive study of registered nurses' experiences with web-based learning. J Adv Nurs 2002;40:457–65.

    Google Scholar 

  12. Komolpis R, Johnson RA. Web-based orthodontic instruction and assessment. J Dent Educ 2002;66:650–8.

    Google Scholar 

  13. Fortin AH, Luzzi K, Galaty L, Wong JG. Huot, S. J. Developing an Internet-based communication system for residency training programs. J Gen Intern Med 2002;17:278–82.

    Google Scholar 

  14. Chan DH, Leclair K, Kaczorowski J. Problem-based small-group learning via the Internet among community family physicians: A randomized controlled trial. MD Comput 1999;16:54–8.

    Google Scholar 

  15. Harris JM, Jr, Salasche SJ, Harris RB. Using the Internet to teach melanoma management guidelines to primary care physicians. J Eval Clin Pract 1999;5:199–211.

    Google Scholar 

  16. Marshall JN, Stewart M, Ostbye T. Small-group CME using e-mail discussions. Can it work? Can Fam Physician 2001;47:557–63.

    Google Scholar 

  17. Turchin A, Lehmann CU. Active Learning Centre: Design and evaluation of an educational World Wide Web site. Med Inform Internet Med 2000;25:195–206.

    Google Scholar 

  18. Murray E, Davis H, Tai SS, Coulter A, Gray A, Haines A. Randomised controlled trial of an interactive multimedia decision aid on benign prostatic hypertrophy in primary care. BMJ 2001;323:493–6.

    Google Scholar 

  19. Young SP, Henderson E, Cheseldine DL, Wilson AS, Skan J, Heaton S, Bowman SJ, Situnayake D, Bacon PA, Southwood TR, Gordon C. Development and assessment of a World Wide Web site for systemic lupus erythematosus patient information. Lupus 2002;11:478–84.

    Google Scholar 

  20. Lorig KR, Laurent DD, Deyo RA, Marnell ME, Minor MA, Ritter PL. Can a Back Pain E-mail Discussion Group improve health status and lower health care costs?: A randomized study. Arch Intern Med 2002;162:792–6.

    Google Scholar 

  21. Shea S, Starren J, Weinstock RS, Knudson PE, Teresi J, Holmes D, Palmas W, Field L, Goland R, Tuck C, Hripcsak G, Capps L, Liss D. Columbia University's Informatics for Diabetes Education and Telemedicine (IDEATel) Project: Rationale and design. J Am Med Inform Assoc 2002;9:49–62.

    Google Scholar 

  22. Goldberg HR, McKhann GM. Student test scores are improved in a virtual learning environment. Adv Physiol Educ 2000;23:59–66.

    Google Scholar 

  23. Langlois JP, Thach SB. Bringing faculty development to community-based preceptors. Acad Med 2003;78:150–5.

    Google Scholar 

  24. Steinert Y, McLeod PJ, Conochie L, Nasmith L. An online discussion for medical faculty: An experiment that failed. Acad Med 2002;77:939–40.

    Google Scholar 

  25. Dillman D. Mail and Internet surveys: The tailored design method. New York: Wiley, 2000.

    Google Scholar 

  26. Merseth K. Cases, case methods, and the professional development of educators. ERIC digest. ERIC Clearinghouse on Teaching and Teacher Education 1994;ED401272.

  27. Kern DE, Thomas PA, Howard DM, Bass EB. Curriculum development for medical education: A six-step approach. Baltimore, MD: Johns Hopkins University Press, 1998.

    Google Scholar 

  28. Sherry L, Morse R. An assessment of training needs in the use of distance education for instruction. Int J Educ Telecommun 1005;1:5–22.

  29. Occupational Health & Safety Continuing Education Needs Assessment Form. University of Michigan Center for Occupational Health and Safety Engineering. Retrieved September 17, 2001 from http://www.engin.umich.edu/dept/ioe/COHSE/occsurvey.html

  30. Health Promotion Needs Assessment. Wright-Patterson Health and Wellness Center. Retrieved September 17, 2001 from http://www.wpatb.af.mil/wellness/form.1.htm

  31. Distance Learning Needs Assessment. American Academy of Allergy Asthma & Immunology. Retrieved September 17, 2001 from http://www.aaaai.org/professional/academynews/2000/07/dlna.html

  32. Glenn Learning Technologies Distance Learning Survey. Glenn Research Center. Retrieved September 17, 2001 from http://www.grc.nasa.gov/WWW/K-12/CoE/Glenn_LTP_Distance_Learnin.htm.

  33. 2000 AAP Member Continuing Medical Education Needs Assessment. Elk Grove Village, IL: American Academy of Pediatrics, 2000:1–7.

  34. Pre-assessment Survey for the Expert Preceptor Interactive Curriculum. Chapel Hill, NC: Office of Educational Development, UNC School of Medicine, 2000:1–6.

  35. Post Assessment Survey for the Expert Preceptor Interactive Curriculum. Chapel Hill, NC: Office of Educational Development, UNC School of Medicine, 2000:1–4.

  36. Maternal and Child Health Bureau Residency Survey. Boston, MA: Maternal and Child Health Bright Futures Resource Center for Curricula.

  37. Jones R, Pitt N. Health surveys in the workplace: Comparison of postal, e-mail and World Wide Web methods. Occup Med (Lond) 1999;49:556–8.

    Google Scholar 

  38. Cartwright CA, Korsen N, Urbach LE. Teaching the teachers: Helping faculty in a family practice residency improve their informatics skills. Acad Med 2002;77:385–91.

    Google Scholar 

  39. Education Scholar. Western University of Health Sciences and the American Association of Colleges of Pharmacy. Retrieved July 31, 2003 from www.educationscholar.org

  40. McKimm J, Jollie C, Cantillon P. ABC of learning and teaching: Web based learning. Bmj 2003;326:870–3.

    Google Scholar 

  41. Ward JP, Gordon J, Field MJ, Lehmann HP. Communication and information technology in medical education. Lancet 2001;357:792–6.

    Google Scholar 

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Correspondence to Henry H. Bernstein.

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Bernstein, H.H., Rieber, S., Stoltz, R.A. et al. Assessing the Learning Needs of Maternal and Child Health Professionals to Teach Health Promotion. Matern Child Health J 8, 87–93 (2004). https://doi.org/10.1023/B:MACI.0000025731.88954.4b

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  • DOI: https://doi.org/10.1023/B:MACI.0000025731.88954.4b

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