Evidence map›Paper›PMID 32519636›Full record

ArticlePrimary health care research & development2020

Credibility of self-reported health parameters in elderly population.

Roi Amster, Iris Reychav, Roger McHaney, Lin Zhu, Joseph Azuri

Open access · goldAbstract read
In one paragraph

Article in Primary health care research & development, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.5field-weighted citation impact, top 10% of its field
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

5 citing papers in PubMed, 8 citations in OpenAlex.

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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

5 authors at 3 institutions in 2 countries.

Roi AmsterSackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Iris ReychavDepartment of Industrial Engineering & Management, Ariel University, P.O.B 40700, Ariel, Israel.
Roger McHaneyDaniel D. Burke Chair for Exceptional Faculty, Professor and University Distinguished Teaching Scholar, Management Information Systems, Kansas State University, Manhattan, KS66506, USA.
Lin ZhuDepartment of Industrial Engineering & Management, Ariel University, P.O.B 40700, Ariel, Israel.
Joseph AzuriSackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.ORCID 0000-0003-1049-9848
Ariel University · ILTel Aviv University · ILKansas State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimExamining the credibility of self-reported height, weight, and blood pressure by the elderly population using a tablet in a retirement residence, and examining the influence of health beliefs on the self-reporting credibility.

backgroundObesity is a major problem with rising prevalence in the western world. Hypertension is also a significant risk factor for cardiovascular diseases. Self-report, remotely from the clinic, becomes even more essential when patients are encouraged to avoid visiting the clinic as during the COVID-19 pandemic. Self-reporting of height and weight is suspected of leading to underestimation of obesity prevalence in the population; however, it has not been well studied in the elderly population.The Health Belief Model tries to predict and explain decision making of patients based on the patient's health beliefs.

methodsResidents of a retirement home network filled a questionnaire about their health beliefs regarding hypertension and obesity and self-reported their height, weight, and blood pressure. Blood pressure, height, and weight were then measured and compared to the patients' self-reporting.

findingsNinety residents, aged 84.90 ± 5.88, filled the questionnaire. From a clinical perspective, the overall gap between the measured and the self-reported BMI (M = 1.43, SD = 2.72), which represents an absolute gap of 0.74 kilograms and 2.95 centimeters, is expected to have only a mild influence on the physician's clinical evaluation of the patient's medical condition. This can allow the physician to estimate their patient's BMI status before the medical consultation and physical examination upon the patient's self-reporting. Patients' dichotomous (normal/abnormal) self-report of their blood pressure condition was relatively credible: positive predictive value (PPV) of 77.78% for normal blood pressure (BP) and 78.57% for abnormal BP. The relatively high PPV of BP self-reporting demonstrates an option for the physician to recognize patients at risk. Regression analysis found no correlation between the anthropometric parameters and the Health Belief Model.

Indexed as

Data AccuracyHealth StatusSelf ReportAgedAged, 80 and overBetacoronavirusBody HeightBody WeightCoronavirus InfectionsCOVID-19FemaleFrail ElderlyHumansHypertensionMaleObesityblood pressureBMIelderlyHealth Belief Modelself-reportingtablet

Identifiers

PMID32519636
PMCPMC7303794
OpenAlexW3033875751

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.