Evidence map›Paper›PMID 22447477›Full record

ArticleCardiovascular journal of Africa2012

End digit preference in blood pressure measurement in a hypertension specialty clinic in southwest Nigeria.

O E Ayodele, E O Sanya, O O Okunola, A A Akintunde

Abstract readComparative Study
In one paragraph

Article in Cardiovascular journal of Africa, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  12. An example of end-digit preference in physiotherapy practice.Physiotherapy Canada. Physiotherapie Canada · 2013
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

O E AyodeleDepartment of Medicine, Ladoke Akintola University of Technology, Osogbo, Osun State, Nigeria. gbengaayox@yahoo.com
E O Sanya
O O Okunola
A A Akintunde

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOne of the observer errors associated with blood pressure (BP) measurement using a mercury sphygmomanometer is end digit preference (EDP) which refers to the occurrence of a particular end digit more frequently than would be expected by chance alone. Published reports, mainly from outside Africa, have shown a high prevalence ranging from 22 to 90% of end digit zero in BP readings taken by healthcare workers (HCWs). This study examined the prevalence of EDP and patients' and physicians' characteristics influencing the occurrence of EDP.

methodsA retrospective review was undertaken of BP readings of 114 patients seen over a two-month period at our hypertension specialty clinic.

resultsNurses and physicians displayed a high frequency of preference for end digit zero in systolic blood pressure (SBP) and diastolic blood pressure (DBP) readings. The preference for end digit zero was, however, higher for nurses than for physicians (SBP: 98.5 vs 51.2%, p < 0.001; DBP: 98.5 vs 64.3%, p < 0.001). Among the physicians, the consultant staff displayed the least preference for end digit zero compared to resident doctors. There was no statistically significant difference in gender, age, weight, height and BMI of those with BP readings with end digit zero compared with those with non-zero end digits.

conclusionThe high prevalence of EDP for zero argues for the training, retraining and certification of HCWs in BP measurement and the institution of a regular monitoring and feedback system on EDP in order to minimise this observer error.

Indexed as

Diagnostic ErrorsNursesPhysiciansAdultAgedAged, 80 and overBlood Pressure DeterminationClinical CompetenceFemaleHospitals, SpecialHumansHypertensionMaleMiddle AgedNigeriaObserver Variation

Identifiers

PMID22447477
PMCPMC3721825

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.