Doctors’ attitudes toward specific medical conditions

Abstract:

This study uses machine learning and natural language processing tools to examine the language used by healthcare professionals on a global online forum. It contributes to an underdeveloped area of knowledge, that of physician attitudes toward their patients. Using comments left by physicians on Reddit’s ”Medicine” subreddit (r/medicine), we test if the language from online discussions can reveal doctors’ attitudes toward specific medical conditions. We focus on a set of chronic conditions that usually are more stigmatized and compare them to ones well accepted by the medical community.

We discovered that when comparing diseases with similar traits, doctors discussed some conditions with more negative attitudes. These results show bias does not occur only along the dimensions traditionally analyzed in the economics literature of gender and race, but also along the dimension of disease type. This is meaningful because the emotions associated with beliefs impact physicians’ decision making, prescribing behavior, and quality of care. First, we run a binomial LASSO-logistic regression to compare a range of 21 diseases against myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), depression, and the autoimmune diseases multiple sclerosis and rheumatoid arthritis.

Next, we use dictionary methods to compare five more chronic diseases: Lyme disease, Ehlers-Danlos syndrome (EDS), Alzheimer’s disease, osteoporosis, and lupus. The results show physicians discuss ME/CFS, depression, and Lyme disease with more negative language than the other diseases in the set. The results for ME/CFS included over four times more negative words than the results for depression.

Source: Brooke Scoles, Catia Nicodemo. Doctors’ attitudes toward specific medical conditions. Journal of Economic Behavior & Organization, Volume 204, December 2022, Pages 182-199. https://www.sciencedirect.com/science/article/pii/S016726812200347X (Full text)

Achieving a patient-centred consultation by giving feedback in its early phases

Abstract:

The traditional medical consultation comprises history, examination, and investigations, followed by explanation to the patient of diagnosis and management. In the course of studying a series of tape-recorded consultations in a specialist medical clinic for chronic fatigue, we have observed a different structure. In some consultations, those categorized as more ‘patient-centred’, doctors introduced explanation and education into the early history-taking stage. This strategy is contrasted with the traditional approach, where the doctor only elicits information during the history, and gives an explanation later. The ‘early feedback’ strategy may result in patients with chronic illnesses achieving greater understanding of their symptoms. We discuss the implication of these findings for medical training.

 

Source: Hak T, Campion P. Achieving a patient-centred consultation by giving feedback in its early phases. Postgrad Med J. 1999 Jul;75(885):405-9. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1741284/ (Full article)

 

Predictors of chronic “postviral” fatigue

Abstract:

We set out to determine the relation between a general practitioner (GP) diagnosis of viral illness and development of chronic fatigue 6 months later. 618 subjects who attended GPs clinics in London, south, and southwest England and who received a diagnosis of viral illness were followed prospectively and fatigue was assessed by questionnaire after 6 months. At presentation, GPs recorded fatigue in 62.6% of subjects, usually since the onset of symptoms. 502 (81.2%) subjects completed the 6-month questionnaire, of whom 88 (17.5%) met criteria for chronic fatigue and 65 (12.9%) had no reported fatigue before the viral illness.

Compared with a similar group of non-postviral GP attenders, the risk ratio for chronic fatigue in the present cohort was 1.45 (95% CI 1.14-2.04). Infective symptoms did not predict fatigue 6 months later. Psychiatric morbidity, belief in vulnerability to viruses, and attributional style at initial presentation were all associated with self-designated postviral fatigue.

Logistic regression showed that somatic attributional style, less definite diagnosis by the GP, and sick certification were the only significant predictors of chronic fatigue after viral infection when other factors were controlled for. Chronic severe fatigue 6 months after GP-diagnosed viral illness is related to symptom-attributional style and doctor behaviour, rather than to features of the viral illness. Some subjects with apparent postviral fatigue had complained of tiredness before their presentation with a viral illness.

Comment in:

Chronic fatigue syndrome. [Lancet. 1994]

Chronic fatigue syndrome. [Lancet. 1994]

 

Source: Cope H, David A, Pelosi A, Mann A. Predictors of chronic “postviral” fatigue. Lancet. 1994 Sep 24;344(8926):864-8. http://www.ncbi.nlm.nih.gov/pubmed/7916407