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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Impact of Patient Mild Cognitive Impairment on Physician Decision-Making for Treatment
Emilie M Blair1,2, Darin B Zahuranec3, Kenneth M Langa2,4,5,6
1University of Michigan (U-M), Ann Arbor, MI, USA.
Background:
Older patients with mild cognitive impairment (MCI) should receive evidence-based treatments when clinically indicated. However, patients with MCI appear less likely than cognitively normal patients to receive evidence-based treatments.
Objective:
To explore the influence of a patient's MCI diagnosis on physician decision-making.
Methods:
Qualitative study of 18 physicians from cardiology, neurology, and internal medicine using semi-structured interviews. We sought to understand whether and how a patient's having MCI has influenced physicians' decisions about five categories of treatments or tests (surgery, invasive tests, non-invasive tests, rehabilitation, and preventive medication). We used qualitative content analysis to identify the unifying and recurrent themes.
Results:
Most physician participants described MCI as influencing their recommendations for at least one treatment or test. We identified two major themes as factors that influenced physician recommendations in patients with MCI: Physicians assume that MCI patients' decreased cognitive ability will impact treatment; and physicians assume that MCI patients have poor health status and physical functioning that will impact treatment. These two themes were representative of physician beliefs that MCI patients have impaired independent decision-making, inability to adhere to treatment, inability to communicate treatment preferences, and increased risk and burden from treatment.
Conclusion:
A patient's MCI diagnosis influences physician decision-making for treatment. Some physician assumptions about patients with MCI were not evidence-based. This phenomenon potentially explains why many patients with MCI get fewer effective treatments or tests than cognitively normal patients. Interventions that improve how physicians understand MCI and make decisions for treatments in patients with MCI are needed.
Insights
Physician assumptions about mild cognitive impairment (MCI) influence treatment decisions, often leading to less evidence-based care for these patients. Understanding these biases is crucial for improving treatment access for individuals with MCI.
Area of Science:
- Geriatric Medicine
- Cognitive Neurology
- Medical Decision-Making
Background:
- Older adults with mild cognitive impairment (MCI) should receive evidence-based treatments.
- Patients with MCI are less likely to receive recommended treatments compared to cognitively normal individuals.
Purpose of the Study:
- To investigate how a mild cognitive impairment (MCI) diagnosis affects physician decision-making regarding patient treatment.
- To identify physician assumptions influencing treatment recommendations for patients with MCI.
Main Methods:
- Qualitative study involving semi-structured interviews with 18 physicians across cardiology, neurology, and internal medicine.
- Analysis of physician decisions concerning surgery, invasive/non-invasive tests, rehabilitation, and preventive medication.
- Qualitative content analysis to identify key themes in physician decision-making.
Main Results:
- Physicians reported that MCI influenced recommendations for treatments or tests.
- Two primary themes emerged: assumptions about MCI patients' cognitive abilities impacting treatment adherence and assumptions about poor health status affecting treatment tolerance.
- Physician beliefs included impaired decision-making, poor adherence, communication difficulties, and increased treatment risks for MCI patients.
Conclusions:
- A patient's MCI diagnosis significantly impacts physician treatment decisions.
- Some physician assumptions about MCI patients are not supported by evidence.
- These physician biases may explain the underutilization of effective treatments and tests in patients with MCI, highlighting a need for improved physician understanding and decision-making interventions.
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