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1.
Am Fam Physician ; 107(1): 87-88, 2023 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-36689980
2.
BMC Med Inform Decis Mak ; 18(1): 5, 2018 01 12.
Artigo em Inglês | MEDLINE | ID: mdl-29325548

RESUMO

BACKGROUND: The United States Preventive Services Task Force (USPSTF) issued recommendations for older, heavy lifetime smokers to complete annual low-dose computed tomography (LDCT) scans of the chest as screening for lung cancer. The USPSTF recommends and the Centers for Medicare and Medicaid Services require shared decision making using a decision aid for lung cancer screening with annual LDCT. Little is known about how decision aids affect screening knowledge, preferences, and behavior. Thus, we tested a lung cancer screening decision aid video in screening-eligible primary care patients. METHODS: We conducted a single-group study with surveys before and after decision aid viewing and medical record review at 3 months. Participants were active patients of a large US academic primary care practice who were current or former smokers, ages 55-80 years, and eligible for screening based on current screening guidelines. Outcomes assessed pre-post decision aid viewing were screening-related knowledge score (9 items about screening-related harms of false positives and overdiagnosis, likelihood of benefit; score range = 0-9) and preference (preferred screening vs. not). Screening behavior measures, assessed via chart review, included provider visits, screening discussion, LDCT ordering, and LDCT completion within 3 months. RESULTS: Among 50 participants, knowledge increased from pre- to post-decision aid viewing (mean = 2.6 vs. 5.5, difference = 2.8; 95% CI 2.1, 3.6, p < 0.001). Preferences across the overall sample remained similar such that 54% preferred screening at baseline and 50% after viewing; however, 28% of participants changed their preference (to or away from screening) from baseline to after viewing. We assessed screening behavior for 36 participants who had a primary care visit during the 3-month period following enrollment. Eighteen of 36 preferred screening after decision aid viewing. Of these 18, 10 discussed screening, 8 had a test ordered, and 6 completed LDCT. Among the 18 who preferred no screening, 7 discussed screening, 5 had a test ordered, and 4 completed LDCT. CONCLUSIONS: In primary care patients, a lung cancer screening decision aid improved knowledge regarding screening-related benefits and harms. Screening preferences and behavior were heterogeneous. TRIAL REGISTRATION: This study is registered at www.clinicaltrials.gov . NCT03077230 (registered retrospectively,November 22, 2016).


Assuntos
Tomada de Decisões , Técnicas de Apoio para a Decisão , Detecção Precoce de Câncer , Conhecimentos, Atitudes e Prática em Saúde , Neoplasias Pulmonares/diagnóstico por imagem , Atenção Primária à Saúde , Idoso , Idoso de 80 Anos ou mais , Feminino , Seguimentos , Humanos , Masculino , Medicaid , Medicare , Pessoa de Meia-Idade , Estados Unidos
3.
J Healthc Qual ; 40(1): 27-35, 2018.
Artigo em Inglês | MEDLINE | ID: mdl-28885238

RESUMO

Expert groups recommend annual chest computed tomography for lung cancer screening (LCS) in high-risk patients. Lung cancer screening in primary care is a complex process that includes identification of the at-risk population, comorbidity assessment, and shared decision making. We identified three key processes required for high-quality screening implementation in our academic primary care practice: (1) systematic collection of lifetime cumulative smoking history to identify potentially eligible patients; (2) visit-based clinical reminders and order sets embedded in the electronic health record (EHR); and (3) tools to facilitate shared decision making and appropriate test ordering. We applied quality improvement techniques to address gaps in these processes. Over 12 months, we developed and implemented a nurse protocol for collecting complete smoking history and entering that data into discrete EHR fields. We obtained histories on over 50% of the clinic's more than 2,300 known current and former smokers, aged 55-80 years. We then built and pilot tested an automated visit-based reminder (VBR) system, driven by the discrete smoking history data. The VBR included an order set and template for documentation of shared decision making. Physicians interacted with the VBR in approximately 30% of opportunities for use. Further work is needed to better understand how to systematically provide appropriate LCS in primary care environments.


Assuntos
Centros Médicos Acadêmicos/normas , Detecção Precoce de Câncer/normas , Hospitais de Prática de Grupo , Neoplasias Pulmonares/diagnóstico , Programas de Rastreamento/normas , Atenção Primária à Saúde/normas , Melhoria de Qualidade/normas , Adulto , Idoso , Idoso de 80 Anos ou mais , Tomada de Decisões , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Fatores de Risco , Tomografia Computadorizada por Raios X , Estados Unidos
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