Literature DB >> 10900413

Assessment of growth by primary health care providers.

T H Lipman1, K Hench, J D Logan, D A DiFazio, P M Hale, C Singer-Granick.   

Abstract

INTRODUCTION: Precise measurements of children are critical for accurate growth assessment. Many children are referred to endocrine practices in error because heights are obtained but plotted on length growth charts, giving the appearance that growth has decelerated.
METHOD: In an attempt to evaluate growth assessment in primary care practices (PCPs), we instituted a telephone survey to gather the following data: (a) how often children are measured, (b) the criteria for whether children are measured standing or lying, (c) the methods for measuring children, and (d) whether measurements are plotted on growth charts and by whom.
RESULTS: In PCPs, children were reported to be measured at every visit or only at well child visits. The criteria most frequently used to determine when children should be measured standing was "if they can stand, they are measured standing." Significantly more pediatric practices than family practices measured children standing at the correct age. Heights were most often obtained on a scale with a floppy arm. All but 4 practices reported that measurements on growth charts were plotted by the nurse or physician. DISCUSSION: Many practices had an incorrect policy related to obtaining measurements of length versus height. Children are measured with the correct equipment in only 22% of PCPs for height and 12% of PCPs for length. Most PCPs are diligent about plotting growth data. Clearly, education of personnel in PCPs is crucial so that accurate growth measurements can be obtained, necessary referrals can be made, and unnecessary referrals can be avoided.

Entities:  

Mesh:

Year:  2000        PMID: 10900413     DOI: 10.1067/mph.2000.104538

Source DB:  PubMed          Journal:  J Pediatr Health Care        ISSN: 0891-5245            Impact factor:   1.812


  5 in total

1.  Misdiagnosis of overweight and underweight children younger than 2 years of age due to length measurement bias.

Authors:  Sheryl L Rifas-Shiman; Janet W Rich-Edwards; Kelley S Scanlon; Ken P Kleinman; Matthew W Gillman
Journal:  MedGenMed       Date:  2005-11-29

Review 2.  Approach to short stature.

Authors:  Sangeeta Yadav; Aashima Dabas
Journal:  Indian J Pediatr       Date:  2014-12-04       Impact factor: 1.967

3.  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

4.  Social jet lag, chronotype and body mass index in 14-17-year-old adolescents.

Authors:  Susan Kohl Malone; Babette Zemel; Charlene Compher; Margaret Souders; Jesse Chittams; Aleda Leis Thompson; Allan Pack; Terri H Lipman
Journal:  Chronobiol Int       Date:  2016-08-11       Impact factor: 2.877

5.  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

  5 in total

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