HospiMedica

Download Mobile App
Recent News AI Critical Care Surgical Techniques Patient Care Health IT Point of Care Business Focus

Patients Commonly Withhold Information from Doctors

By HospiMedica International staff writers
Posted on 18 Dec 2018
Print article
A new study reveals that patients often hold back relevant medical information from their doctors that could be prejudicial or beneficial to their healthcare.

Researchers at Middlesex Community College (MXCC; Middletown, CT, USA), the University of Utah (Salt Lake City, USA), the University of Iowa (Iowa City, USA), and other institutions conducted a study involving 4,510 adults in order to examine the frequency of patient nondisclosure of medically relevant Information and their reasons for doing so. Participants were recruited via two online surveys, one using Amazon Mechanical Turk (MTurk) from March 16 to 30, 2015 (2,096 respondents), and the other via Survey Sampling International (SSI) from November 6 to 17, 2015 (3,011 respondents).

The results showed that 81% of the MTurk participants and 61% of the SSI participants said they had avoided disclosing at least one type of information, with the most common reasons for nondisclosure not wanting to be judged or lectured, not wanting to hear how harmful a particular behavior is, and being embarrassed. In both groups, women, younger participants, and those who rated their own health as poor were more likely to admit they withheld information. Most withheld the fact that they disagreed with the doctor's recommendations or that they didn't understand the doctor's instructions. The study was published on November 30, 2018, in JAMA Network Open.

“Many respondents in these surveys intentionally withhold important information from their clinicians, and were most likely to do so when they disagreed with or misunderstood their clinician’s instructions,” concluded lead author Andrea Gurmankin Levy, PhD, MBe, of MXCC, and colleagues. “Patient failure to disclose medically relevant information to clinicians can undermine patient care or even lead to patient harm. A better understanding of how to increase patients’ comfort with reporting this information may improve the clinician-patient relationship and patient care.”

“An awful lot in medical care depends on the patient history, and we know we're not always getting the full story. Full disclosure puts the burden and responsibility on the patient, which may not be a practical way to solve this communication problem,” said Arthur Elstein, MD, a retired physician of the University of Illinois (Chicago, USA), in an accompanying commentary. “Instead, health care professionals should be aware of the nondisclosure issue and look for ways to uncover details in a technical way, such as an impersonal online survey before face-to-face appointments.”

Related Links:
Middlesex Community College
University of Utah
University of Iowa

Gold Member
SARS‑CoV‑2/Flu A/Flu B/RSV Sample-To-Answer Test
SARS‑CoV‑2/Flu A/Flu B/RSV Cartridge (CE-IVD)
Gold Member
STI Test
Vivalytic Sexually Transmitted Infection (STI) Array
Silver Member
Compact 14-Day Uninterrupted Holter ECG
NR-314P
New
Compact C-Arm
Arcovis DRF-C S21

Print article

Channels

Critical Care

view channel
Image: The new risk assessment tool determines patient-specific risks of developing unfavorable outcomes with heart failure (Photo courtesy of 123RF)

Powerful AI Risk Assessment Tool Predicts Outcomes in Heart Failure Patients

Heart failure is a serious condition where the heart cannot pump sufficient blood to meet the body's needs, leading to symptoms like fatigue, weakness, and swelling in the legs and feet, and it can ultimately... Read more

Surgical Techniques

view channel
Image: The multi-sensing device can be implanted into blood vessels to help physicians deliver timely treatment (Photo courtesy of IIT)

Miniaturized Implantable Multi-Sensors Device to Monitor Vessels Health

Researchers have embarked on a project to develop a multi-sensing device that can be implanted into blood vessels like peripheral veins or arteries to monitor a range of bodily parameters and overall health status.... Read more

Health IT

view channel
Image: First ever institution-specific model provides significant performance advantage over current population-derived models (Photo courtesy of Mount Sinai)

Machine Learning Model Improves Mortality Risk Prediction for Cardiac Surgery Patients

Machine learning algorithms have been deployed to create predictive models in various medical fields, with some demonstrating improved outcomes compared to their standard-of-care counterparts.... Read more

Point of Care

view channel
Image: The Quantra Hemostasis System has received US FDA special 510(k) clearance for use with its Quantra QStat Cartridge (Photo courtesy of HemoSonics)

Critical Bleeding Management System to Help Hospitals Further Standardize Viscoelastic Testing

Surgical procedures are often accompanied by significant blood loss and the subsequent high likelihood of the need for allogeneic blood transfusions. These transfusions, while critical, are linked to various... Read more