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Bartholomew K, Aye PS, Aitken C, Chambers E, Neville C, Maxwell A, Sandiford P, Puloka A, Crengle S, Poppe K, Doughty RN, Hill A. Smoking data quality of primary care practices in comparison with smoking data from the New Zealand Māori and Pacific abdominal aortic aneurysm screening programme: an observational study. BMC Public Health 2024; 24:1513. [PMID: 38840063 PMCID: PMC11154981 DOI: 10.1186/s12889-024-19021-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Accepted: 05/31/2024] [Indexed: 06/07/2024] Open
Abstract
BACKGROUND Quality smoking data is crucial for assessing smoking-related health risk and eligibility for interventions related to that risk. Smoking information collected in primary care practices (PCPs) is a major data source; however, little is known about the PCP smoking data quality. This project compared PCP smoking data to that collected in the Māori and Pacific Abdominal Aortic Aneurysm (AAA) screening programme. METHODS A two stage review was conducted. In Stage 1, data quality was assessed by comparing the PCP smoking data recorded close to AAA screening episodes with the data collected from participants at the AAA screening session. Inter-rater reliability was analysed using Cohen's kappa scores. In Stage 2, an audit of longitudinal smoking status was conducted, of a subset of participants potentially misclassified in Stage 1. Data were compared in three groups: current smoker (smoke at least monthly), ex-smoker (stopped > 1 month ago) and never smoker (smoked < 100 cigarettes in lifetime). RESULTS Of the 1841 people who underwent AAA screening, 1716 (93%) had PCP smoking information. Stage 1 PCP smoking data showed 82% concordance with the AAA data (adjusted kappa 0.76). Fewer current or ex-smokers were recorded in PCP data. In the Stage 2 analysis of discordant and missing data (N = 313), 212 were enrolled in the 29 participating PCPs, and of these 13% were deceased and 41% had changed PCP. Of the 93 participants still enrolled in the participating PCPs, smoking status had been updated for 43%. Data on quantity, duration, or quit date of smoking were largely missing in PCP records. The AAA data of ex-smokers who were classified as never smokers in the Stage 2 PCP data (N = 27) showed a median smoking cessation duration of 32 years (range 0-50 years), with 85% (N = 23) having quit more than 15 years ago. CONCLUSIONS PCP smoking data quality compared with the AAA data is consistent with international findings. PCP data captured fewer current and ex-smokers, suggesting ongoing improvement is important. Intervention programmes based on smoking status should consider complementary mechanisms to ensure eligible individuals are not missed from programme invitation.
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Affiliation(s)
- Karen Bartholomew
- Service Improvement and Innovation, Health New Zealand Te Whatu Ora, Auckland, New Zealand
| | - Phyu Sin Aye
- Service Improvement and Innovation, Health New Zealand Te Whatu Ora, Auckland, New Zealand.
- University of Auckland, Auckland, New Zealand.
| | - Charlotte Aitken
- Service Improvement and Innovation, Health New Zealand Te Whatu Ora, Auckland, New Zealand
| | - Erin Chambers
- Service Improvement and Innovation, Health New Zealand Te Whatu Ora, Auckland, New Zealand
| | - Cleo Neville
- Service Improvement and Innovation, Health New Zealand Te Whatu Ora, Auckland, New Zealand
| | - Anna Maxwell
- Service Improvement and Innovation, Health New Zealand Te Whatu Ora, Auckland, New Zealand
| | - Peter Sandiford
- Service Improvement and Innovation, Health New Zealand Te Whatu Ora, Auckland, New Zealand
| | - Aivi Puloka
- Service Improvement and Innovation, Health New Zealand Te Whatu Ora, Auckland, New Zealand
| | | | | | | | - Andrew Hill
- Service Improvement and Innovation, Health New Zealand Te Whatu Ora, Auckland, New Zealand
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Jani BD, Sullivan MK, Hanlon P, Nicholl BI, Lees JS, Brown L, MacDonald S, Mark PB, Mair FS, Sullivan FM. Personalised lung cancer risk stratification and lung cancer screening: do general practice electronic medical records have a role? Br J Cancer 2023; 129:1968-1977. [PMID: 37880510 PMCID: PMC10703821 DOI: 10.1038/s41416-023-02467-9] [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: 03/30/2023] [Revised: 10/06/2023] [Accepted: 10/13/2023] [Indexed: 10/27/2023] Open
Abstract
BACKGROUND In the United Kingdom (UK), cancer screening invitations are based on general practice (GP) registrations. We hypothesize that GP electronic medical records (EMR) can be utilised to calculate a lung cancer risk score with good accuracy/clinical utility. METHODS The development cohort was Secure Anonymised Information Linkage-SAIL (2.3 million GP EMR) and the validation cohort was UK Biobank-UKB (N = 211,597 with GP-EMR availability). Fast backward method was applied for variable selection and area under the curve (AUC) evaluated discrimination. RESULTS Age 55-75 were included (SAIL: N = 574,196; UKB: N = 137,918). Six-year lung cancer incidence was 1.1% (6430) in SAIL and 0.48% (656) in UKB. The final model included 17/56 variables in SAIL for the EMR-derived score: age, sex, socioeconomic status, smoking status, family history, body mass index (BMI), BMI:smoking interaction, alcohol misuse, chronic obstructive pulmonary disease, coronary heart disease, dementia, hypertension, painful condition, stroke, peripheral vascular disease and history of previous cancer and previous pneumonia. The GP-EMR-derived score had AUC of 80.4% in SAIL and 74.4% in UKB and outperformed ever-smoked criteria (currently the first step in UK lung cancer screening pilots). DISCUSSION A GP-EMR-derived score may have a role in UK lung cancer screening by accurately targeting high-risk individuals without requiring patient contact.
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Affiliation(s)
- Bhautesh Dinesh Jani
- General Practice and Primary Care, School of Health and Wellbeing, University of Glasgow, Glasgow, UK.
| | - Michael K Sullivan
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
| | - Peter Hanlon
- General Practice and Primary Care, School of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Barbara I Nicholl
- General Practice and Primary Care, School of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Jennifer S Lees
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
| | - Lamorna Brown
- Population and Behavioural Science Division, School of Medicine, University of St Andrews, St Andrews, UK
| | - Sara MacDonald
- General Practice and Primary Care, School of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Patrick B Mark
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
| | - Frances S Mair
- General Practice and Primary Care, School of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Frank M Sullivan
- Population and Behavioural Science Division, School of Medicine, University of St Andrews, St Andrews, UK
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Mankidy BJ, Mohammad G, Trinh K, Ayyappan AP, Huang Q, Bujarski S, Jafferji MS, Ghanta R, Hanania AN, Lazarus DR. High risk lung nodule: A multidisciplinary approach to diagnosis and management. Respir Med 2023; 214:107277. [PMID: 37187432 DOI: 10.1016/j.rmed.2023.107277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Revised: 04/28/2023] [Accepted: 05/04/2023] [Indexed: 05/17/2023]
Abstract
Pulmonary nodules are often discovered incidentally during CT scans performed for other reasons. While the vast majority of nodules are benign, a small percentage may represent early-stage lung cancer with the potential for curative treatments. With the growing use of CT for both clinical purposes and lung cancer screening, the number of pulmonary nodules detected is expected to increase substantially. Despite well-established guidelines, many nodules do not receive proper evaluation due to a variety of factors, including inadequate coordination of care and financial and social barriers. To address this quality gap, novel approaches such as multidisciplinary nodule clinics and multidisciplinary boards may be necessary. As pulmonary nodules may indicate early-stage lung cancer, it is crucial to adopt a risk-stratified approach to identify potential lung cancers at an early stage, while minimizing the risk of harm and expense associated with over investigation of low-risk nodules. This article, authored by multiple specialists involved in nodule management, delves into the diagnostic approach to lung nodules. It covers the process of determining whether a patient requires tissue sampling or continued surveillance. Additionally, the article provides an in-depth examination of the various biopsy and therapeutic options available for malignant lung nodules. The article also emphasizes the significance of early detection in reducing lung cancer mortality, especially among high-risk populations. Furthermore, it addresses the creation of a comprehensive lung nodule program, which involves smoking cessation, lung cancer screening, and systematic evaluation and follow-up of both incidental and screen-detected nodules.
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Affiliation(s)
- Babith J Mankidy
- Division of Pulmonary, Critical Care and Sleep Medicine, Baylor College of Medicine, 1Baylor Plaza, Houston, TX, 77030, USA.
| | - GhasemiRad Mohammad
- Department of Radiology, Division of Vascular and Interventional Radiology, Baylor College of Medicine, USA.
| | - Kelly Trinh
- Texas Tech University Health Sciences Center, School of Medicine, USA.
| | - Anoop P Ayyappan
- Department of Radiology, Division of Thoracic Radiology, Baylor College of Medicine, USA.
| | - Quillan Huang
- Department of Oncology, Baylor College of Medicine, USA.
| | - Steven Bujarski
- Division of Pulmonary, Critical Care and Sleep Medicine, Baylor College of Medicine, 1Baylor Plaza, Houston, TX, 77030, USA.
| | | | - Ravi Ghanta
- Department of Cardiothoracic Surgery, Baylor College of Medicine, USA.
| | | | - Donald R Lazarus
- Division of Pulmonary, Critical Care and Sleep Medicine, Baylor College of Medicine, 1Baylor Plaza, Houston, TX, 77030, USA.
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Bujarski S, Flowers R, Alkhunaizi M, Cuvi D, Sathya S, Melcher J, Kheradmand F, Holt G. Challenges in initiating a lung cancer screening program: Experiences from two VA medical centers. Semin Oncol 2022; 49:S0093-7754(22)00046-X. [PMID: 35853765 DOI: 10.1053/j.seminoncol.2022.06.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Revised: 06/13/2022] [Accepted: 06/13/2022] [Indexed: 11/11/2022]
Abstract
Establishing a lung cancer screening (LCS) program is an important endeavor that delivers life-saving healthcare to an at-risk population. However, developing a comprehensive LCS program requires critical elements including obtaining institutional level buy-in, hiring necessary personnel, developing appropriate infrastructure and actively engaging primary care providers, subspecialty services, and radiology. The process required to connect such services to deliver an organized LCS program that reaches all eligible candidates must be individualized to each institution's needs and infrastructure. Here we provide detailed experiences from two successful LCS programs, one using a primary care provider-based service and the other using a consult-based service. In each case, we provide the pros and cons of each system. We propose that the decision to setup an ideal LCS program could include a hybrid design that combines aspects of each system.
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Affiliation(s)
- Stephen Bujarski
- Section of Pulmonary, Critical Care and Sleep Medicine, Michael E. DeBakey VA Medical Center, Houston TX, USA; Department of Medicine, Baylor College of Medicine, Houston TX, USA.
| | - Robert Flowers
- Department of Medicine, Jackson Memorial Hospital, University of Miami, Miami, FL, USA
| | | | - Dave Cuvi
- Division of Pulmonology, Department of Medicine, Miami VA Medical Center, Miami, FL, USA
| | - Sneha Sathya
- Division of Pulmonary, Allergy Critical Care and Sleep Medicine, Department of Medicine, University of Miami, Miami, FL, USA
| | - Jennifer Melcher
- Lung Precision Oncology Program, Michael E. DeBakey VA Medical Center, Houston, TX, USA
| | - Farrah Kheradmand
- Section of Pulmonary, Critical Care and Sleep Medicine, Michael E. DeBakey VA Medical Center, Houston TX, USA; Department of Medicine, Baylor College of Medicine, Houston TX, USA
| | - Gregory Holt
- Division of Pulmonology, Department of Medicine, Miami VA Medical Center, Miami, FL, USA; Division of Pulmonary, Allergy Critical Care and Sleep Medicine, Department of Medicine, University of Miami, Miami, FL, USA
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Improving Lung Cancer Screening Rates Through an Evidence-Based Electronic Health Record Smoking History. J Nurs Care Qual 2022; 37:263-268. [PMID: 35380553 DOI: 10.1097/ncq.0000000000000623] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
BACKGROUND Lung cancer is prevalent worldwide, with 2.1 million new cases and 1.8 million deaths in 2020. In the United States, an estimated 131 880 lung cancer deaths are expected to occur in 2021, with most detected in later stages. Smokers are 15 to 30 times more likely to develop or die from lung cancer. LOCAL PROBLEM Our community residents were more likely to be diagnosed with lung cancer in later stages (62%) compared with 56% nationally, resulting in an increased community mortality rate. INTERVENTION Evidence-based changes in an electronic health record system supported identification and referral of high-risk patients for low-dose computer tomography to improve early lung cancer detection rates. RESULTS Early-stage lung cancer detection increased 24%. CONCLUSIONS Interprofessional teams used technology to adopt evidence-based practice and improve health outcomes in their communities.
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