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The validation of electronic health records in accurately identifying patients eligible for colorectal cancer screening in safety net clinics.

ABSTRACT: While electronic health records (EHRs) play a key role in increasing colorectal cancer (CRC) screening by identifying individuals who are overdue, important shortfalls remain.As part of the Strategies and Opportunities to STOP Colon Cancer (STOP CRC) study, we assessed the accuracy of EHR codes in identifying patients eligible for CRC screening.We selected a stratified random sample of 800 study participants from 26 participating clinics, in the Pacific Northwest region of the USA. We compared data obtained through codes in the EHR to conduct a manual chart audit. A trained chart abstractor completed the abstraction of eligible and ineligible patients.Of 520 individuals in need of CRC screening, identified via the EHR, 459 were confirmed through chart review (positive predictive value = 88%). Of 280 individuals flagged as up-to-date in their screening per EHR data, 269 were confirmed through chart review (negative predictive value = 96%). Among the 61 patients incorrectly classified as eligible, 83.6% of disagreements were due to evidence of a prior colonoscopy or referral that was not captured in recognizable fields in the EHR.Our findings highlight importance of better capture of past screening events in the EHR. While the need for better population-based data is not unique to CRC screening, it provides an important example of the use of population-based data not only for tracking care, but also for delivering interventions.

SUBMITTER: Petrik AF

PROVIDER: S-EPMC5161488 | biostudies-literature | 2016 Dec

REPOSITORIES: biostudies-literature

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The validation of electronic health records in accurately identifying patients eligible for colorectal cancer screening in safety net clinics.

Petrik Amanda F AF Green Beverly B BB Vollmer William M WM Le Thuy T Bachman Barbara B Keast Erin E Rivelli Jennifer J Coronado Gloria D GD

Family practice 20160728 6

<h4>Background</h4>While electronic health records (EHRs) play a key role in increasing colorectal cancer (CRC) screening by identifying individuals who are overdue, important shortfalls remain.<h4>Objectives</h4>As part of the Strategies and Opportunities to STOP Colon Cancer (STOP CRC) study, we assessed the accuracy of EHR codes in identifying patients eligible for CRC screening.<h4>Methods</h4>We selected a stratified random sample of 800 study participants from 26 participating clinics, in ...[more]

PMID: 27471224

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Project description:ContextLow-income and racial/ethnic minority populations experience disproportionate colorectal cancer (CRC) burden and poorer survival. Novel behavioral strategies are needed to improve screening rates in these groups.BackgroundThe study aimed to test a theoretically based "implementation intentions" intervention for improving CRC screening among unscreened adults in urban safety-net clinics.DesignRandomized controlled trial.Setting/participantsAdults (N=470) aged ≥50 years, due for CRC screening, from urban safety-net clinics were recruited.InterventionThe intervention (conducted in 2009-2011) was delivered via touchscreen computers that tailored informational messages to decisional stage and screening barriers. The computer then randomized participants to generic health information on diet and exercise (Comparison group) or "implementation intentions" questions and planning (Experimental group) specific to the CRC screening test chosen (fecal immunochemical test or colonoscopy).Main outcome measuresThe primary study outcome was completion of CRC screening at 26 weeks based on test reports (analysis conducted in 2012-2013).ResultsThe study population had a mean age of 57 years and was 42% non-Hispanic African American, 28% non-Hispanic white, and 27% Hispanic. Those receiving the implementation intentions-based intervention had higher odds (AOR=1.83, 95% CI=1.23, 2.73) of completing CRC screening than the Comparison group. Those with higher self-efficacy for screening (AOR=1.57, 95% CI=1.03, 2.39), history of asthma (AOR=2.20, 95% CI=1.26, 3.84), no history of diabetes (AOR=1.86, 95% CI=1.21, 2.86), and reporting they had never heard that "cutting on cancer" makes it spread (AOR=1.78, 95% CI=1.16, 2.72) were more likely to complete CRC screening.ConclusionsThe results of this study suggest that programs incorporating an implementation intentions approach can contribute to successful completion of CRC screening even among very low-income and diverse primary care populations. Future initiatives to reduce CRC incidence and mortality disparities may be able to employ implementation intentions in large-scale efforts to encourage screening and prevention behaviors.

Project description:BackgroundQuality metrics, pay for performance (P4P), and value-based payments are prominent aspects of the current and future American healthcare system. However, linking clinic payment to clinic quality measures may financially disadvantage safety-net clinics and their patient population because safety-net clinics often have worse quality metric scores than non-safety net clinics. The Minnesota Safety Net Coalition's Quality Measurement Enhancement Project sought to collect data from primary care providers' (PCPs) experiences, which could assist Minnesota policymakers and state agencies as they create a new P4P system. Our research study aims are to identify PCPs' perspectives about 1) quality metrics at safety net clinics and non-safety net clinics, 2) how clinic quality measures affect patients and patient care, and 3) how payment for quality measures may influence healthcare.MethodsQualitative interviews with 14 PCPs (4 individual interviews and 3 focus groups) who had worked at both safety net and non-safety net primary care clinics in Minneapolis-St Paul Minnesota USA metropolitan area. Qualitative analyses identified major themes.ResultsThree themes with sub-themes emerged. Theme #1: Minnesota's current clinic quality scores are influenced more by patients and clinic systems than by clinicians. Theme #2: Collecting data for a set of specific quality measures is not the same as measuring quality healthcare. Subtheme #2.1: Current quality measures are not aligned with how patients and clinicians define quality healthcare. Theme #3: Current quality measures are a product of and embedded in social and structural inequities in the American health care system. Subtheme #3.1: The current inequitable healthcare system should not be reinforced with financial payments. Subtheme #3.2: Health equity requires new metrics and a new healthcare system. Overall, PCPs felt that the current inequitable quality metrics should be replaced by different metrics along with major changes to the healthcare system that could produce greater health equity.ConclusionAligning payment with the current quality metrics could perpetuate and exacerbate social inequities and health disparities. Policymakers should consider PCPs' perspectives and create a quality-payment framework that does not disadvantage patients who are affected by social and structural inequities as well as the clinics and providers who serve them.

Project description:Safety net health systems face barriers to effective ambulatory medication reconciliation for vulnerable populations. Although some electronic health record (EHR) systems offer safety advantages, EHR use may affect the quality of patient-provider communication.This mixed-methods observational study aimed to develop a conceptual framework of how clinicians balance the demands and risks of EHR and communication tasks during medication reconciliation discussions in a safety net system.This study occurred 3 to 16 (median 9) months after new EHR implementation in five academic public hospital clinics. We video recorded visits between English-/Spanish-speaking patients and their primary/specialty care clinicians. We analyzed the proportion of medications addressed and coded time spent on nonverbal tasks during medication reconciliation as "multitasking EHR use," "silent EHR use," "non-EHR multitasking," and "focused patient-clinician talk." Finally, we analyzed communication patterns to develop a conceptual framework.We examined 35 visits (17%, 6/35 Spanish) between 25 patients (mean age 57, SD 11 years; 44%, 11/25 women; 48%, 12/25 Hispanic; and 20%, 5/25 with limited health literacy) and 25 clinicians (48%, 12/25 primary care). Patients had listed a median of 7 (IQR 5-12) relevant medications, and clinicians addressed a median of 3 (interquartile range [IQR] 1-5) medications. The median duration of medication reconciliation was 2.1 (IQR 1.0-4.2) minutes, comprising a median of 10% (IQR 3%-17%) of visit time. Multitasking EHR use occurred in 47% (IQR 26%-70%) of the medication reconciliation time. Silent EHR use and non-EHR multitasking occurred a smaller proportion of medication reconciliation time, with a median of 0% for both. Focused clinician-patient talk occurred a median of 24% (IQR 0-39%) of medication reconciliation time. Five communication patterns with EHR medication reconciliation were observed: (1) typical EHR multitasking for medication reconciliation, (2) dynamic EHR use to negotiate medication discrepancies, (3) focused patient-clinician talk for medication counseling and addressing patient concerns, (4) responding to patient concerns while maintaining EHR use, and (5) using EHRs to engage patients during medication reconciliation. We developed a conceptual diagram representing the dilemma of the multitasking clinician during medication reconciliation.Safety net visits involve multitasking EHR use during almost half of medication reconciliation time. The multitasking clinician balances the cognitive and emotional demands posed by incoming information from multiple sources, attempts to synthesize and act on this information through EHR and communication tasks, and adopts strategies of silent EHR use and focused patient-clinician talk that may help mitigate the risks of multitasking. Future studies should explore diverse patient perspectives about clinician EHR multitasking, clinical outcomes related to EHR multitasking, and human factors and systems engineering interventions to improve the safety of EHR use during the complex process of medication reconciliation.

Project description:BackgroundExisting tools to measure patient-centered medical home (PCMH) adoption are not designed for research evaluation in safety-net clinics.ObjectiveDevelop a scale to measure PCMH adoption in safety-net clinics.Research designCross-sectional survey.SubjectsSixty-five clinics in five states.Main measuresFifty-two-item Safety Net Medical Home Scale (SNMHS). The total score ranges from 0 (worst) to 100 (best) and is an average of multiple subscales (0-100): Access and Communication, Patient Tracking and Registry, Care Management, Test and Referral Tracking, Quality Improvement, and External Coordination. The scale was tested for internal consistency reliability and tested for convergent validity using The Assessment of Chronic Illness Care (ACIC) and the Patient-Centered Medical Home Assessment (PCMH-A). The scale was applied to centers in the sample. In addition, linear regression models were used to measure the association between clinic characteristics and medical home adoption.ResultsThe SNMHS had high internal consistency reliability (Cronbach's alpha = 0.84). The SNMHS score correlated moderately with the ACIC score (r = 0.64, p < 0.0001) and the PCMH-A (r = 0.56, p < 0.001). The mean SNMHS score was 61 ± SD 13. Among the subscales, External Coordination (66 ± 16) and Access and Communication (65 ± 14) had the highest mean scores, while Quality Improvement (55 ± 17) and Care Management (55 ± 16) had lower mean scores. Clinic characteristics positively associated with total SNMHS score were having more providers (β 15.8 95% CI 8.1-23.4 >8 provider FTEs compared to <4 FTEs) and participation in financial incentive programs (β 8.4 95% 1.6-15.3).ConclusionThe SNMHS demonstrated reliability and convergent validity for measuring PCMH adoption in safety-net clinics. Some clinics have significant PCMH adoption. However, room for improvement exists in most domains, especially for clinics with fewer providers.

Dataset Information

The validation of electronic health records in accurately identifying patients eligible for colorectal cancer screening in safety net clinics.

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The validation of electronic health records in accurately identifying patients eligible for colorectal cancer screening in safety net clinics.

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