Literature DB >> 19226698

Poor adherence to home blood pressure measurement schedule.

Niels V van der Hoeven1, Bert-Jan H van den Born, Marianne Cammenga, Gert A van Montfrans.   

Abstract

BACKGROUND: Consensus dictates that devices used for home blood pressure (BP) measurement should be equipped with a memory to store readings, rather than trusting patients' logbooks. However, data entered in the memory rely on patients' adherence to measurement schedules. We investigated the number and relevance of deviations from the requested measurement schedule.
METHODS: We instructed 106 patients to perform 28 BP readings in a 2-week period with a memory-equipped electronic device. Patients were requested to note their scheduled BP values in their logbook and were not informed of the presence of a memory function.
RESULTS: The concordance between all BP recordings in both memory and logbook was 90.1% of possible total scheduled readings. The difference in mean BP of all readings from memory compared with all readings from the logbook was -0.06 mmHg (95% confidence interval -0.79 to 0.68) systolic and -0.28 mmHg (95% confidence interval -0.97 to 0.40) diastolic. Unscheduled measurements were performed by 57.5% of patients. Missing scheduled readings in both logbook and memory were found in 34.0% of patients. Fictional data were present for 16.0% of patients. When comparing all individual BP readings from the memory and the logbook, 10.4% of patients were classified in another hypertension stratum according to the European Society of Hypertension criteria. In 23.6% of patients, we did not find any bias.
CONCLUSION: In spite of the use of memory-equipped devices, to ensure patients' adherence to measurement schedules, patients still need proper instruction and a close watch.

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Year:  2009        PMID: 19226698     DOI: 10.1097/hjh.0b013e328319917e

Source DB:  PubMed          Journal:  J Hypertens        ISSN: 0263-6352            Impact factor:   4.844


  10 in total

Review 1.  Clinical significance of home blood pressure and its possible practical application.

Authors:  Yutaka Imai
Journal:  Clin Exp Nephrol       Date:  2013-07-03       Impact factor: 2.801

2.  Factors affecting variability in home blood pressure in patients with type 2 diabetes: post hoc analysis of a cross-sectional multicenter study.

Authors:  E Ushigome; M Fukui; M Hamaguchi; T Tanaka; H Atsuta; S-i Mogami; Y Oda; M Yamazaki; G Hasegawa; N Nakamura
Journal:  J Hum Hypertens       Date:  2014-02-06       Impact factor: 3.012

3.  Uncontrolled home blood pressure in the morning is associated with nephropathy in Japanese type 2 diabetes.

Authors:  Emi Ushigome; Michiaki Fukui; Kazumi Sakabe; Muhei Tanaka; Shinobu Inada; Atsushi Omoto; Toru Tanaka; Wataru Fukuda; Haruhiko Atsuta; Masayoshi Ohnishi; Shin-Ichi Mogami; Yoshihiro Kitagawa; Yohei Oda; Masahiro Yamazaki; Goji Hasegawa; Naoto Nakamura
Journal:  Heart Vessels       Date:  2011-01-08       Impact factor: 2.037

4.  A novel approach to office blood pressure measurement: 30-minute office blood pressure vs daytime ambulatory blood pressure.

Authors:  Mark C van der Wel; Iris E Buunk; Chris van Weel; Theo A B M Thien; J Carel Bakx
Journal:  Ann Fam Med       Date:  2011 Mar-Apr       Impact factor: 5.166

5.  Beneficial effect of calcium channel blockers on home blood pressure variability in the morning in patients with type 2 diabetes.

Authors:  Emi Ushigome; Michiaki Fukui; Masahide Hamaguchi; Toru Tanaka; Haruhiko Atsuta; Masayoshi Ohnishi; Yohei Oda; Masahiro Yamazaki; Goji Hasegawa; Naoto Nakamura
Journal:  J Diabetes Investig       Date:  2013-03-04       Impact factor: 4.232

6.  Effect of Education for Hypertensive Patients with Correctly Performed Self-Blood Pressure Monitoring (SBPM).

Authors:  Justyna Dymek; Anna Gołda; Wioletta Polak; Bartosz Lisowski; Agnieszka Skowron
Journal:  Pharmacy (Basel)       Date:  2019-06-27

7.  Threshold value of home pulse pressure predicting arterial stiffness in patients with type 2 diabetes: KAMOGAWA-HBP study.

Authors:  Noriyuki Kitagawa; Emi Ushigome; Shinobu Matsumoto; Chikako Oyabu; Hidetaka Ushigome; Isao Yokota; Mai Asano; Muhei Tanaka; Masahiro Yamazaki; Michiaki Fukui
Journal:  J Clin Hypertens (Greenwich)       Date:  2018-02-15       Impact factor: 3.738

8.  Evidence for a detrimental relationship between hypertension history, prospective memory, and prefrontal cortex white matter in cognitively normal older adults.

Authors:  Michael K Scullin; Brian A Gordon; Jill Talley Shelton; Ji Hae Lee; Denise Head; Mark A McDaniel
Journal:  Cogn Affect Behav Neurosci       Date:  2013-06       Impact factor: 3.282

9.  Diagnosing Masked Hypertension Using Ambulatory Blood Pressure Monitoring, Home Blood Pressure Monitoring, or Both?

Authors:  D Edmund Anstey; Paul Muntner; Natalie A Bello; Daniel N Pugliese; Yuichiro Yano; Ian M Kronish; Kristi Reynolds; Joseph E Schwartz; Daichi Shimbo
Journal:  Hypertension       Date:  2018-11       Impact factor: 9.897

10.  Schedules for Self-monitoring Blood Pressure: A Systematic Review.

Authors:  James A Hodgkinson; Richard Stevens; Sabrina Grant; Jonathan Mant; Emma P Bray; F D Richard Hobbs; Una Martin; Claire Schwartz; David McCartney; Rachel O'Mahony; Rafael Perera-Salazar; Nia Roberts; Sarah Stevens; Bryan Williams; Richard J McManus
Journal:  Am J Hypertens       Date:  2019-03-16       Impact factor: 2.689

  10 in total

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