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1.
BMJ Open ; 13(4): e068832, 2023 04 20.
Article in English | MEDLINE | ID: mdl-37080616

ABSTRACT

OBJECTIVE: Lung cancer is the most common cause of cancer-related death in the USA. While most patients are diagnosed following symptomatic presentation, no studies have compared symptoms and physical examination signs at or prior to diagnosis from electronic health records (EHRs) in the USA. We aimed to identify symptoms and signs in patients prior to diagnosis in EHR data. DESIGN: Case-control study. SETTING: Ambulatory care clinics at a large tertiary care academic health centre in the USA. PARTICIPANTS, OUTCOMES: We studied 698 primary lung cancer cases in adults diagnosed between 1 January 2012 and 31 December 2019, and 6841 controls matched by age, sex, smoking status and type of clinic. Coded and free-text data from the EHR were extracted from 2 years prior to diagnosis date for cases and index date for controls. Univariate and multivariable conditional logistic regression were used to identify symptoms and signs associated with lung cancer at time of diagnosis, and 1, 3, 6 and 12 months before the diagnosis/index dates. RESULTS: Eleven symptoms and signs recorded during the study period were associated with a significantly higher chance of being a lung cancer case in multivariable analyses. Of these, seven were significantly associated with lung cancer 6 months prior to diagnosis: haemoptysis (OR 3.2, 95% CI 1.9 to 5.3), cough (OR 3.1, 95% CI 2.4 to 4.0), chest crackles or wheeze (OR 3.1, 95% CI 2.3 to 4.1), bone pain (OR 2.7, 95% CI 2.1 to 3.6), back pain (OR 2.5, 95% CI 1.9 to 3.2), weight loss (OR 2.1, 95% CI 1.5 to 2.8) and fatigue (OR 1.6, 95% CI 1.3 to 2.1). CONCLUSIONS: Patients diagnosed with lung cancer appear to have symptoms and signs recorded in the EHR that distinguish them from similar matched patients in ambulatory care, often 6 months or more before diagnosis. These findings suggest opportunities to improve the diagnostic process for lung cancer.


Subject(s)
Electronic Health Records , Lung Neoplasms , Adult , Humans , Case-Control Studies , Tertiary Care Centers , Lung Neoplasms/diagnosis , Ambulatory Care
2.
Cancers (Basel) ; 14(23)2022 Nov 23.
Article in English | MEDLINE | ID: mdl-36497238

ABSTRACT

The diagnosis of lung cancer in ambulatory settings is often challenging due to non-specific clinical presentation, but there are currently no clinical quality measures (CQMs) in the United States used to identify areas for practice improvement in diagnosis. We describe the pre-diagnostic time intervals among a retrospective cohort of 711 patients identified with primary lung cancer from 2012-2019 from ambulatory care clinics in Seattle, Washington USA. Electronic health record data were extracted for two years prior to diagnosis, and Natural Language Processing (NLP) applied to identify symptoms/signs from free text clinical fields. Time points were defined for initial symptomatic presentation, chest imaging, specialist consultation, diagnostic confirmation, and treatment initiation. Median and interquartile ranges (IQR) were calculated for intervals spanning these time points. The mean age of the cohort was 67.3 years, 54.1% had Stage III or IV disease and the majority were diagnosed after clinical presentation (94.5%) rather than screening (5.5%). Median intervals from first recorded symptoms/signs to diagnosis was 570 days (IQR 273-691), from chest CT or chest X-ray imaging to diagnosis 43 days (IQR 11-240), specialist consultation to diagnosis 72 days (IQR 13-456), and from diagnosis to treatment initiation 7 days (IQR 0-36). Symptoms/signs associated with lung cancer can be identified over a year prior to diagnosis using NLP, highlighting the need for CQMs to improve timeliness of diagnosis.

3.
Am J Occup Ther ; 75(3)2021 May 01.
Article in English | MEDLINE | ID: mdl-34781340

ABSTRACT

Lung cancer claims more lives than any other cancer in the world and remains difficult to diagnose in the early stages. This article examines the current state of lung cancer detection and screening via low-dose computed tomography (LDCT) in Alaska and considers potential opportunities for occupational therapy practitioners in primary care settings. Medicare requires at least one documented shared decision-making encounter between provider and patient before LDCT lung cancer screening occurs. As a result of time constraints, documentation requirements, and the plethora of preventive health services they provide, primary care physicians often lack the time and training to conduct this essential service. This provides an opportunity for occupational therapy practitioners to perform these services as part of their practice and to play a role in this area as patient educators and prevention specialists in primary care settings. What This Article Adds: This article explores the national health crisis of lung cancer and describes how occupational therapists can participate in providing care in primary care settings.


Subject(s)
Lung Neoplasms , Occupational Therapy , Aged , Alaska , Early Detection of Cancer , Humans , Lung Neoplasms/diagnosis , Medicare , Policy , United States
4.
J Multidiscip Healthc ; 14: 919-927, 2021.
Article in English | MEDLINE | ID: mdl-33948085

ABSTRACT

PURPOSE: Lung cancer claims more lives than any cancer in the world and remains difficult to diagnosis at early stages. Detecting lung cancer is challenging due to nonspecific symptom presentation. Literature was reviewed to consider functional decline as an indicator for ill-health. This study explored the process experienced from recognition in a change of health to receiving a lung cancer diagnosis from a patient's perspective in order to examine this phase through a biopsychosocial lens. PATIENTS AND METHODS: A single-case design methodology was used for this study. The method of data collection was semi-structured interviews with people diagnosed with lung cancer utilizing criterion sampling. The case study was bound by diagnostic and geographical factors to frame the single-case: participants were limited to those living in Alaska diagnosed with stage III or stage IV lung cancer. RESULTS: One (n = 1) person participated in this study. Themes consistent with lung cancer detection process from a patient's perspective include symptom denial, symptom reductionism, and gradual impact on function. CONCLUSION: Although the number of participants was extremely limited due to the COVID-19 pandemic at the time of recruitment, this case study suggests a decline in function present prior to being diagnosed with lung cancer. Opportunities exist within the provider and patient interface to promote earlier detection include educating medical providers to ask specific, closed-ended, non-disease related functional questions to ascertain more details and a holistic representation of patients' health. Raising public awareness of lung cancer symptoms, such as fatigue and dyspnea, is also warranted.

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