Literature DB >> 26507248

Electronic Health Record Mid-Parental Height Auto-Calculator for Growth Assessment in Primary Care.

Terri H Lipman1, Pamela Cousounis2, Robert W Grundmeier1, James Massey3, Andrew J Cucchiara3, Virginia A Stallings1, Adda Grimberg4.   

Abstract

Primary care providers are charged with distinguishing children with an underlying growth problem from those with healthy variant short stature. Knowing the heights of the biological parents aids in making that decision. This study sought to determine the feasibility and functionality of an electronic mid-parental height (MPH) auto-calculator in the clinical assessment of child growth in a pediatric primary care setting. Clinicians completed surveys for 62% of 6803 children (mean height 13 ± 7 percentile) with recorded parent heights. Collecting parent height data required <30 seconds in 91% of encounters. The MPH tool confirmed clinicians' initial growth assessment in 79% of cases and changed it in 4%; the remainder did not use the tool. Clinicians who changed assessment were more likely (P < .0001) to pursue more comprehensive evaluation. The MPH tool was a quick, functional resource as a component of an electronic health record system in actual, busy, pediatric primary care practices.
© The Author(s) 2015.

Entities:  

Keywords:  clinical decision making; electronic medical records; endocrinology; general pediatrics; short stature

Mesh:

Year:  2015        PMID: 26507248      PMCID: PMC5576174          DOI: 10.1177/0009922815614352

Source DB:  PubMed          Journal:  Clin Pediatr (Phila)        ISSN: 0009-9228            Impact factor:   1.168


  15 in total

1.  Living large: the powerful overestimate their own height.

Authors:  Michelle M Duguid; Jack A Goncalo
Journal:  Psychol Sci       Date:  2011-12-14

2.  Measured versus reported parental height.

Authors:  F Cizmecioglu; A Doherty; W F Paterson; D Young; M D C Donaldson
Journal:  Arch Dis Child       Date:  2005-09       Impact factor: 3.791

3.  Standards for children's height at ages 2-9 years allowing for heights of parents.

Authors:  J M Tanner; H Goldstein; R H Whitehouse
Journal:  Arch Dis Child       Date:  1970-12       Impact factor: 3.791

4.  Sex differences in patients referred for evaluation of poor growth.

Authors:  Adda Grimberg; Jessica Katz Kutikov; Andrew J Cucchiara
Journal:  J Pediatr       Date:  2005-02       Impact factor: 4.406

5.  Special requirements of electronic health record systems in pediatrics.

Authors:  S Andrew Spooner
Journal:  Pediatrics       Date:  2007-03       Impact factor: 7.124

Review 6.  Normal growth and techniques of growth assessment.

Authors:  J M Tanner
Journal:  Clin Endocrinol Metab       Date:  1986-08

7.  Blue Button use by patients to access and share health record information using the Department of Veterans Affairs' online patient portal.

Authors:  Carolyn Turvey; Dawn Klein; Gemmae Fix; Timothy P Hogan; Susan Woods; Steven R Simon; Mary Charlton; Mary Vaughan-Sarrazin; Donna M Zulman; Lilian Dindo; Bonnie Wakefield; Gail Graham; Kim Nazi
Journal:  J Am Med Inform Assoc       Date:  2014-04-16       Impact factor: 4.497

8.  A multicentre randomised controlled trial of an intervention to improve the accuracy of linear growth measurement.

Authors:  T H Lipman; K D Hench; T Benyi; J Delaune; K A Gilluly; L Johnson; M G Johnson; H McKnight-Menci; D Shorkey; J Shults; F L Waite; C Weber
Journal:  Arch Dis Child       Date:  2004-04       Impact factor: 3.791

9.  The SMART Platform: early experience enabling substitutable applications for electronic health records.

Authors:  Kenneth D Mandl; Joshua C Mandel; Shawn N Murphy; Elmer Victor Bernstam; Rachel L Ramoni; David A Kreda; J Michael McCoy; Ben Adida; Isaac S Kohane
Journal:  J Am Med Inform Assoc       Date:  2012-03-17       Impact factor: 4.497

10.  Accuracy of self-reported height measurements in parents and its effect on mid-parental target height calculation.

Authors:  Ieva Braziuniene; Thomas A Wilson; Andrew H Lane
Journal:  BMC Endocr Disord       Date:  2007-04-02       Impact factor: 2.763

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  2 in total

1.  Assessing the Safety of Custom Web-Based Clinical Decision Support Systems in Electronic Health Records: A Case Study.

Authors:  Jeritt G Thayer; Jeffrey M Miller; Alexander G Fiks; Linda Tague; Robert W Grundmeier
Journal:  Appl Clin Inform       Date:  2019-04-03       Impact factor: 2.342

2.  Growth Hormone Stimulation Testing Patterns Contribute to Sex Differences in Pediatric Growth Hormone Treatment.

Authors:  Camilia Kamoun; Colin Patrick Hawkes; Hareesh Gunturi; Andrew Dauber; Joel N Hirschhorn; Adda Grimberg
Journal:  Horm Res Paediatr       Date:  2021-10-18       Impact factor: 4.275

  2 in total

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