1
|
Pot M. Caring around and through medical tests in primary care: On the role of care in the diagnostic process. Soc Sci Med 2025; 367:117767. [PMID: 39874842 DOI: 10.1016/j.socscimed.2025.117767] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Revised: 01/17/2025] [Accepted: 01/24/2025] [Indexed: 01/30/2025]
Abstract
Primary care is characterised by a broad understanding of health and illness. Due to the high degree of diagnostic uncertainty in primary care, medical tests play a lesser role in this domain than in specialist medicine. However, medical testing is also becoming increasingly important in primary care, raising questions about how these technologies are integrated into everyday practice. Drawing on qualitative interviews with Austrian doctors, this article shows that the use of medical tests in primary care is often interwoven with practices of care. Doctors engage in care around the use of medical tests by assessing the impact of diagnostic knowledge and addressing patients' needs before and after testing. They also demonstrate care through the use of medical tests, such as administering them to comfort patients rather than for strictly clinical reasons. Situating these findings within the sociology of diagnosis, I argue that diagnostic processes not only guide medical care provision but are also closely intertwined with practices of care.
Collapse
Affiliation(s)
- Mirjam Pot
- University of Vienna, Universitaetsring 1, 1010, Vienna, Austria; European Centre for Social Welfare Policy and Research, Berggasse 1, 1090, Vienna, Austria.
| |
Collapse
|
2
|
Phillips C, Parkinson A, Namsrai T, Chalmers A, Dews C, Gregory D, Kelly E, Lowe C, Desborough J. Time to diagnosis for a rare disease: managing medical uncertainty. A qualitative study. Orphanet J Rare Dis 2024; 19:297. [PMID: 39143641 PMCID: PMC11323401 DOI: 10.1186/s13023-024-03319-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2024] [Accepted: 08/08/2024] [Indexed: 08/16/2024] Open
Abstract
BACKGROUND People with a rare disease commonly experience long delays from the onset of symptoms to diagnosis. Rare diseases are challenging to diagnose because they are clinically heterogeneous, and many present with non-specific symptoms common to many diseases. We aimed to explore the experiences of people with myositis, primary immunodeficiency (PID), and sarcoidosis from symptom onset to diagnosis to identify factors that might impact receipt of a timely diagnosis. METHODS This was a qualitative study using semi-structured interviews. Our approach was informed by Interpretive Phenomenological Analysis (IPA). We applied the lens of uncertainty management theory to tease out how patients experience, assess, manage and cope with puzzling and complex health-related issues while seeking a diagnosis in the cases of rare diseases. RESULTS We conducted interviews with 26 people with a rare disease. Ten participants had been diagnosed with a form of myositis, 8 with a primary immunodeficiency, and 8 with sarcoidosis. Time to diagnosis ranged from 6 months to 12 years (myositis), immediate to over 20 years (PID), and 6 months to 15 years (sarcoidosis). We identified four themes that described the experiences of participants with a rare disease as they sought a diagnosis for their condition: (1) normalising and/or misattributing symptoms; (2) particularising by clinicians; (3) asserting patients' self-knowledge; and (4) working together through the diagnosable moment. CONCLUSIONS Managing medical uncertainty in the time before diagnosis of a rare disease can be complicated by patients discounting their own symptoms and/or clinicians discounting the scale and impact of those symptoms. Persistence on the part of both clinician and patient is necessary to reach a diagnosis of a rare disease. Strategies such as recognising pattern failure and accommodating self-labelling are key to diagnosis.
Collapse
Affiliation(s)
- Christine Phillips
- School of Medicine and Psychology, Australian National University, 54 Mills Road, Canberra, 2601, ACT, Australia
| | - Anne Parkinson
- Department of Health Economics, Wellbeing and Society, National Centre for Epidemiology and Population Health, Australian National University, 63 Eggleston Road, Canberra, ACT, 2601, Australia.
| | - Tergel Namsrai
- Department of Health Economics, Wellbeing and Society, National Centre for Epidemiology and Population Health, Australian National University, 63 Eggleston Road, Canberra, ACT, 2601, Australia
| | - Anita Chalmers
- Department of Health Economics, Wellbeing and Society, National Centre for Epidemiology and Population Health, Australian National University, 63 Eggleston Road, Canberra, ACT, 2601, Australia
- Myositis Association Australia, 14/10 Albany Lane, Berry, NSW, 2535, Australia
| | - Carolyn Dews
- Department of Health Economics, Wellbeing and Society, National Centre for Epidemiology and Population Health, Australian National University, 63 Eggleston Road, Canberra, ACT, 2601, Australia
- Immune Deficiencies Foundation Australia, Suite 9, 104 Crown Street, Wollongong, NSW, 2500, Australia
| | - Dianne Gregory
- Department of Health Economics, Wellbeing and Society, National Centre for Epidemiology and Population Health, Australian National University, 63 Eggleston Road, Canberra, ACT, 2601, Australia
- Sarcoidosis Australia, Sydney, NSW, 2000, Australia
| | - Elaine Kelly
- Department of Health Economics, Wellbeing and Society, National Centre for Epidemiology and Population Health, Australian National University, 63 Eggleston Road, Canberra, ACT, 2601, Australia
- Sarcoidosis Australia, Sydney, NSW, 2000, Australia
| | - Christine Lowe
- Department of Health Economics, Wellbeing and Society, National Centre for Epidemiology and Population Health, Australian National University, 63 Eggleston Road, Canberra, ACT, 2601, Australia
- Immune Deficiencies Foundation Australia, Suite 9, 104 Crown Street, Wollongong, NSW, 2500, Australia
| | - Jane Desborough
- Department of Health Economics, Wellbeing and Society, National Centre for Epidemiology and Population Health, Australian National University, 63 Eggleston Road, Canberra, ACT, 2601, Australia
| |
Collapse
|
5
|
Michiels-Corsten M, Weyand AM, Gold J, Bösner S, Donner-Banzhoff N. Inductive foraging: patients taking the lead in diagnosis, a mixed-methods study. Fam Pract 2022; 39:479-485. [PMID: 34849739 DOI: 10.1093/fampra/cmab144] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Patient involvement in treatment decisions is widely accepted. Making a diagnosis, however, is still seen as a technical task mainly driven by physicians. Patients in this respect are perceived as passive providers of data. But, recent patient-centred concepts highlight the value of an active patient involvement in diagnosis. OBJECTIVE We aim to reach a deeper understanding of how patients themselves contribute to the diagnostic process. METHODS This is an observational study of patient consultations with their General Practitioner (GP) in 12 German practices. We performed a mixed-method qualitative and quantitative analysis of 134 primary care consultations. RESULTS At the beginning of most consultations lies a phase where patients were invited to freely unfold their reason for encounter: This was named "inductive foraging" (IF). While patients actively present their complaints, GPs mainly listen and follow the presentation. This episode was found with every GP participating in this study. Ninety-one percent of consultations with diagnostic episodes were opened by IF. IF had a major contribution to the number of cues (diagnostic information) yielded in the diagnostic process. We illustrate a variety of tactics GPs make use of to invite, support, and terminate their patients in IF. CONCLUSION IF was found to be a highly relevant strategy in the diagnostic process. Patient involvement through IF offered a major contribution of diagnostic cues. We hypothesize that a patient-centred approach improves diagnosis.
Collapse
Affiliation(s)
- Matthias Michiels-Corsten
- Department of General Practice, Faculty of Medicine, Philipps-University of Marburg, Marburg, Germany
| | - Anna M Weyand
- Department of General Practice, Faculty of Medicine, Philipps-University of Marburg, Marburg, Germany.,Department of Neurology, University Hospital Marburg UKGM, Marburg, Germany
| | - Judith Gold
- Department of General Practice, Faculty of Medicine, Philipps-University of Marburg, Marburg, Germany
| | - Stefan Bösner
- Department of General Practice, Faculty of Medicine, Philipps-University of Marburg, Marburg, Germany
| | - Norbert Donner-Banzhoff
- Department of General Practice, Faculty of Medicine, Philipps-University of Marburg, Marburg, Germany
| |
Collapse
|
6
|
Shimizu T. The 6C model for accurately capturing the patient's medical history. Diagnosis (Berl) 2021; 9:dx-2020-0126. [PMID: 33887130 DOI: 10.1515/dx-2020-0126] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Accepted: 02/01/2021] [Indexed: 01/08/2023]
Abstract
Diagnostic errors are an internationally recognized patient safety concern, and leading causes are faulty data gathering and faulty information processing. Obtaining a full and accurate history from the patient is the foundation for timely and accurate diagnosis. A key concept underlying ideal history acquisition is "history clarification," meaning that the history is clarified to be depicted as clearly as a video, with the chronology being accurately reproduced. A novel approach is presented to improve history-taking, involving six dimensions: Courtesy, Control, Compassion, Curiosity, Clear mind, and Concentration, the '6 C's'. We report a case that illustrates how the 6C approach can improve diagnosis, especially in relation to artificial intelligence tools that assist with differential diagnosis.
Collapse
Affiliation(s)
- Taro Shimizu
- Dokkyo Medical University Hospital, Kitakobayashi 880, Mibu, Tochigi, 321-0297, Japan
| |
Collapse
|