Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
Relative Risk01:12

Relative Risk

Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
Errors occurring during blood pressure monitoring01:25

Errors occurring during blood pressure monitoring

Blood pressure monitoring is a crucial clinical procedure in diagnosing and managing various cardiovascular conditions. Despite its significance, the accuracy of blood pressure measurements can be compromised by multiple factors, potentially leading to either falsely high or low readings. These inaccuracies are critical as they can significantly impact patient care. So, it is vital to understand these challenges deeply and adopt strategic approaches to minimize errors.
Several factors...
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
Regression Toward the Mean01:52

Regression Toward the Mean

Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when researchers try to extrapolate results...
Variability: Analysis01:11

Variability: Analysis

Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
The range is a simple measure of variability, indicating the difference between the highest and...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

The presenting symptom signatures of incident cancer: evidence from the English 2018 National Cancer Diagnosis Audit.

British journal of cancer·2023
Same author

Stage-specific risk of colon and rectal cancer in patients presenting with rectal bleeding or change in bowel habit in primary care: A population-based cohort study.

Cancer epidemiology·2023
Same author

Progress and priorities in reducing the time to cancer diagnosis.

British journal of cancer·2022
Same author

Assessing how routes to diagnosis vary by the age of patients with cancer: a nationwide register-based cohort study in Denmark.

BMC cancer·2022
Same author

Socio-demographic variation in stage at diagnosis of breast, bladder, colon, endometrial, lung, melanoma, prostate, rectal, renal and ovarian cancer in England and its population impact.

British journal of cancer·2021
Same author

Reply to investigating changes over time in socioeconomic gaps in cancer survival: does choice of approach matter?

Annals of oncology : official journal of the European Society for Medical Oncology·2020

Related Experiment Videos

Risk factor measurement quality in primary care routine data was variable but nondifferential between individuals.

G Lyratzopoulos1, R F Heller, M Hanily

  • 1Department of Public Health and Primary Care, Institute of Public Health, Forvie Site, Robinson Way, Cambridge CB2 OSR, UK. gl290@medschl.cam.ac.uk

Journal of Clinical Epidemiology
|January 30, 2008
PubMed
Summary

Routine data quality for cardiovascular disease risk factors varies. While height, weight, and cholesterol measurements showed random error, blood pressure readings had significant digit preference, with no observed socioeconomic or temporal differences.

Related Experiment Videos

Area of Science:

  • Public Health
  • Epidemiology
  • Health Services Research

Background:

  • Routinely collected health data are increasingly used for research.
  • Assessing the quality of these data is crucial for reliable findings.
  • Cardiovascular disease risk factor measurements are key indicators.

Purpose of the Study:

  • To evaluate the quality of cardiovascular disease risk factor measurements in routine UK primary care data.
  • To investigate socioeconomic and temporal variations in measurement quality.
  • To compare routine data quality with established epidemiological surveys.

Main Methods:

  • Retrospective analysis of 37,161 women and 33,977 men (aged 35-60) from a UK primary care screening program (1989-1999).
  • Comparison of last digit preference in height, weight, total cholesterol, systolic and diastolic blood pressure between routine data and Health Survey for England/WHO MONICA.
  • Analysis of measurement quality by socioeconomic status and over time.

Main Results:

  • Height, weight, and total cholesterol measurements in routine data had greater random error but no digit preference.
  • Systolic and diastolic blood pressure measurements showed strong last digit preference for '0' (63.1% men, 67.3% women).
  • Digit preference patterns for blood pressure were not linked to socioeconomic status or changes over time, except for diastolic BP in men.

Conclusions:

  • Routine data may be useful for tracking cardiovascular disease risk factor trends across socioeconomic groups.
  • Critical appraisal of measurement quality is essential before utilizing routine data for research.
  • Blood pressure measurement quality in routine data requires careful consideration due to digit preference.