Literature DB >> 22171903

Trends and transient change in end-digit preference in blood pressure recording: studies of sequential and longitudinal collected primary care data.

O N Alsanjari1, S de Lusignan, J van Vlymen, H Gallagher, C Millett, K Harris, A Majeed.   

Abstract

BACKGROUND: End-digit preference (EDP) is a known cause of inaccurate BP recording. Distortion has been reported around pay-for-performance (P4P) indicators.
METHODS: We studied sequential datasets (n = 148,000 to n = 900,000) and performed a longitudinal analysis of CONDUIT data (n = 250,000) over a 10-year period. We examined general trends in EDP and investigated the impact of diabetes and chronic kidney disease (CKD) P4P targets.
RESULTS: EDP reduces over time in both datasets; the percentage of patients with a zero EDP declined from 70% to 27% and 68% to 26% for SBP and DBP respectively. There is more zero EDP at the extremes of BP, but in people with chronic disease, the use of zero EDP was mainly seen at higher BP levels. P4P targets are associated with increased preference for the even end-digit just below target: in diabetes odds ratio (OR) is 1.47 (p = 0.003) for SBP, 1.19 (p = 0.09) for DBP and in CKD OR 1.65 (p < 0.001) for SBP and 1.48 (p = 0.0001) for DBP. Trends observed in pilot data were validated with a longitudinal set.
CONCLUSIONS: The decline in EDP is levelling off and P4P targets are associated with sub-target-EDP. Primary care should automate BP measurement and recording.
© 2011 Blackwell Publishing Ltd.

Entities:  

Mesh:

Year:  2012        PMID: 22171903     DOI: 10.1111/j.1742-1241.2011.02781.x

Source DB:  PubMed          Journal:  Int J Clin Pract        ISSN: 1368-5031            Impact factor:   2.503


  10 in total

1.  Perceptions of risk may explain the discrepancy between patient and clinician-recorded symptoms.

Authors:  Ian Dawson; Victoria Senior; Simon de Lusignan
Journal:  Prim Care Respir J       Date:  2012-06

2.  Blood pressure percentiles by age and height for children and adolescents in Tehran, Iran.

Authors:  N Ataei; M Hosseini; M Fayaz; I Navidi; A Taghiloo; K Kalantari; F Ataei
Journal:  J Hum Hypertens       Date:  2015-05-28       Impact factor: 3.012

Review 3.  Methods and dimensions of electronic health record data quality assessment: enabling reuse for clinical research.

Authors:  Nicole Gray Weiskopf; Chunhua Weng
Journal:  J Am Med Inform Assoc       Date:  2012-06-25       Impact factor: 4.497

4.  Informatics as tool for quality improvement: rapid implementation of guidance for the management of chronic kidney disease in England as an exemplar.

Authors:  Simon de Lusignan
Journal:  Healthc Inform Res       Date:  2013-03-31

5.  Pay-for-performance: impact on diabetes.

Authors:  Tim Doran; Evangelos Kontopantelis
Journal:  Curr Diab Rep       Date:  2013-04       Impact factor: 4.810

6.  Digit Preference in Office Blood Pressure Measurements, United States 2015-2019.

Authors:  Kathryn E Foti; Lawrence J Appel; Kunihiro Matsushita; Josef Coresh; G Caleb Alexander; Elizabeth Selvin
Journal:  Am J Hypertens       Date:  2021-05-22       Impact factor: 2.689

7.  Audit-based education lowers systolic blood pressure in chronic kidney disease: the Quality Improvement in CKD (QICKD) trial results.

Authors:  Simon de Lusignan; Simon de Lusignana; Hugh Gallagher; Simon Jones; Tom Chan; Jeremy van Vlymen; Aumran Tahir; Nicola Thomas; Neerja Jain; Olga Dmitrieva; Imran Rafi; Andrew McGovern; Kevin Harris
Journal:  Kidney Int       Date:  2013-03-27       Impact factor: 10.612

8.  Short-term effects of a pay-for-performance programme for diabetes in a primary care setting: an observational study.

Authors:  H Ödesjö; A Anell; S Gudbjörnsdottir; J Thorn; S Björck
Journal:  Scand J Prim Health Care       Date:  2015-12-15       Impact factor: 2.581

9.  Blood Pressure Nomograms for Children and Adolescents by Age and Body Mass Index in Tehran, Iran.

Authors:  Neamatollah Ataei; Masoud Baikpour; Mostafa Hosseini; Mahmoud Yousefifard; Mohammad Fayaz; Fatemeh Ataei; Arash Abbasi
Journal:  Iran J Public Health       Date:  2017-03       Impact factor: 1.429

10.  Are self-reported telemonitored blood pressure readings affected by end-digit preference: a prospective cohort study in Scotland.

Authors:  Richard A Parker; Mary Paterson; Paul Padfield; Hilary Pinnock; Janet Hanley; Vicky S Hammersley; Adam Steventon; Brian McKinstry
Journal:  BMJ Open       Date:  2018-01-31       Impact factor: 2.692

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.