Prevalence of Financial Considerations Documented in Primary Care Encounters as Identified by Natural Language Processing Methods.

Meliha Skaljic, Ihsaan H Patel, Amelia M Pellegrini, Victor M Castro, Roy H Perlis, Deborah D Gordon
Author Information
  1. Meliha Skaljic: Perelman School of Medicine, University of Pennsylvania, Philadelphia.
  2. Ihsaan H Patel: Mossavar-Rahmani Center for Business and Government, Harvard Kennedy School, Cambridge, Massachusetts.
  3. Amelia M Pellegrini: Center for Quantitative Health, Division of Clinical Research, Massachusetts General Hospital, Harvard Medical School, Boston.
  4. Victor M Castro: Center for Quantitative Health, Division of Clinical Research, Massachusetts General Hospital, Harvard Medical School, Boston.
  5. Roy H Perlis: Center for Quantitative Health, Division of Clinical Research, Massachusetts General Hospital, Harvard Medical School, Boston.
  6. Deborah D Gordon: Mossavar-Rahmani Center for Business and Government, Harvard Kennedy School, Cambridge, Massachusetts.

Abstract

Importance: Quantifying patient-physician cost conversations is challenging but important as out-of-pocket spending by US patients increases and patients are increasingly interested in discussing costs with their physicians.
Objective: To characterize the prevalence of financial considerations documented in narrative clinical records of primary care encounters and their association with patient-level features.
Design, Setting, and Participants: This cohort study applied natural language processing to narrative clinical notes obtained from electronic health records for adult primary care visits. Participants included patients aged 18 years and older with at least 1 primary care visit for an annual preventive examination at outpatient clinics at a US academic health system between January 2, 2008, and July 30, 2013. Data were analyzed in March 2019.
Main Outcomes and Measures: Presence of financial content documented in narrative clinical notes.
Results: The data set included 222 457 primary care visits for 46 244 individuals aged 18 years and older; 30 556 patients (60.1%) were female, 27 869 patients (60.3%) were white, and the mean (SD) age was 51.3 (17.7) years. In total, 6058 patients (13.1%) had at least 1 narrative clinical note indicating a financial conversation with their physician. In fully adjusted regression models, the odds of having a financial note were greater among patients with Medicare (odds ratio [OR], 1.27; 95% CI, 1.15-1.41; P < .001) or Medicaid (OR, 1.43; 95% CI, 1.25-1.64; P < .001) insurance, those residing in zip codes with lower median income (OR, 0.97; 95% CI, 0.96-0.98; P < .001), black individuals (OR, 1.40; 95% CI, 1.28-1.53; P < .001), Hispanic individuals (OR, 1.10; 95% CI, 1.01-1.20; P = .03), and those who were unmarried (OR, 1.23; 95% CI, 1.15-1.33; P < .001).
Conclusions and Relevance: Cost considerations were more likely to be noted in annual preventive examinations than previously observed in intensive care unit admissions, but still infrequently. Associations with particular patient subgroups may indicate differential financial burden or willingness to discuss financial concerns.

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MeSH Term

Adult
Aged
Cost of Illness
Ethnicity
Female
Health Care Costs
Health Expenditures
Hospitalization
Humans
Income
Intensive Care Units
Male
Medicaid
Medicare
Middle Aged
Natural Language Processing
Prevalence
Primary Health Care
United States

Word Cloud

Created with Highcharts 10.0.01patientsfinancial95%CIcareP <001ORnarrativeclinicalprimaryyearsindividualsUSconsiderationsdocumentedrecordsnoteshealthvisitsincludedaged18olderleastannualpreventive601%noteodds15-10Importance:Quantifyingpatient-physiciancostconversationschallengingimportantout-of-pocketspendingincreasesincreasinglyinteresteddiscussingcostsphysiciansObjective:characterizeprevalenceencountersassociationpatient-levelfeaturesDesignSettingParticipants:cohortstudyappliednaturallanguageprocessingobtainedelectronicadultParticipantsvisitexaminationoutpatientclinicsacademicsystemJanuary22008July302013DataanalyzedMarch2019MainOutcomesMeasures:PresencecontentResults:dataset222 45746 24430 556female27 8693%whitemeanSDage513177total605813indicatingconversationphysicianfullyadjustedregressionmodelsgreateramongMedicareratio[OR]2741Medicaid4325-164insuranceresidingzipcodeslowermedianincome9796-098black4028-153Hispanic1001-120P = 03unmarried2333ConclusionsRelevance:CostlikelynotedexaminationspreviouslyobservedintensiveunitadmissionsstillinfrequentlyAssociationsparticularpatientsubgroupsmayindicatedifferentialburdenwillingnessdiscussconcernsPrevalenceFinancialConsiderationsDocumentedPrimaryCareEncountersIdentifiedNaturalLanguageProcessingMethods

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