Browsing by Subject "Primary health care"
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Item Accuracy, thoroughness, and quality of outpatient primary care documentation in the U.S. Department of Veterans Affairs(Springer Nature, 2024-07-18) Weiner, Michael; Flanagan, Mindy E.; Ernst, Katie; Cottingham, Ann H.; Rattray, Nicholas A.; Franks, Zamal; Savoy, April W.; Lee, Joy L.; Frankel, Richard M.; Medicine, School of MedicineBackground: Electronic health records (EHRs) can accelerate documentation and may enhance details of notes, or complicate documentation and introduce errors. Comprehensive assessment of documentation quality requires comparing documentation to what transpires during the clinical encounter itself. We assessed outpatient primary care notes and corresponding recorded encounters to determine accuracy, thoroughness, and several additional key measures of documentation quality. Methods: Patients and primary care clinicians across five midwestern primary care clinics of the US Department of Veterans Affairs were recruited into a prospective observational study. Clinical encounters were video-recorded and transcribed verbatim. Using the Physician Documentation Quality Instrument (PDQI-9) added to other measures, reviewers scored quality of the documentation by comparing transcripts to corresponding encounter notes. PDQI-9 items were scored from 1 to 5, with higher scores indicating higher quality. Results: Encounters (N = 49) among 11 clinicians were analyzed. Most issues that patients initiated in discussion were omitted from notes, and nearly half of notes referred to information or observations that could not be verified. Four notes lacked concluding assessments and plans; nine lacked information about when patients should return. Except for thoroughness, PDQI-9 items that were assessed achieved quality scores exceeding 4 of 5 points. Conclusions: Among outpatient primary care electronic records examined, most issues that patients initiated in discussion were absent from notes, and nearly half of notes referred to information or observations absent from transcripts. EHRs may contribute to certain kinds of errors. Approaches to improving documentation should consider the roles of the EHR, patient, and clinician together.Item Assessing the impact of a primary care electronic medical record system in three Kenyan rural health centers(Oxford University Press, 2016-05) Tierney, William M.; Sidle, John E.; Diero, Lameck O.; Sudoi, Allan; Kiplagat, Jepchirchir; Macharia, Stephen; Shen, Changyu; Yeung, Ada; Were, Martin C.; Slaven, James E.; Wools-Kaloustian, Kara; Medicine, School of MedicineObjective: Efficient, effective health care requires rapid availability of patient information. We designed, implemented, and assessed the impact of a primary care electronic medical record (EMR) in three rural Kenyan health centers. Method: Local clinicians identified data required for primary care and public health reporting. We designed paper encounter forms to capture these data in adult medicine, pediatric, and antenatal clinics. Encounter form data were hand-entered into a new primary care module in an existing EMR serving onsite clinics serving patients infected with the human immunodeficiency virus (HIV). Before subsequent visits, Summary Reports were printed containing selected patient data with reminders for needed HIV care. We assessed effects on patient flow and provider work with time-motion studies before implementation and two years later, and we surveyed providers' satisfaction with the EMR. Results: Between September 2008 and December 2011, 72 635 primary care patients were registered and 114 480 encounter forms were completed. During 2011, 32 193 unique patients visited primary care clinics, and encounter forms were completed for all visits. Of 1031 (3.2%) who were HIV-infected, 85% received HIV care. Patient clinic time increased from 37 to 81 min/visit after EMR implementation in one health center and 56 to 106 min/visit in the other. However, outpatient visits to both health centers increased by 85%. Three-quarters of increased time was spent waiting. Despite nearly doubling visits, there was no change in clinical officers' work patterns, but the nurses' and the clerks' patient care time decreased after EMR implementation. Providers were generally satisfied with the EMR but desired additional training. Conclusions: We successfully implemented a primary care EMR in three rural Kenyan health centers. Patient waiting time was dramatically lengthened while the nurses' and the clerks' patient care time decreased. Long-term use of EMRs in such settings will require changes in culture and workflow.Item Capsule Commentary on Meredith et al., Impact of Collaborative Care for Underserved Patients with PTSD in Primary Care: A Randomized Controlled Trial(Springer, 2016-05) Kroenke, Kurt; Department of Medicine, IU School of MedicineComment on Impact of Collaborative Care for Underserved Patients with PTSD in Primary Care: a Randomized Controlled Trial. [J Gen Intern Med. 2016]Item Characteristics of Veterans with non-VA encounters enrolled in a trial of standards-based, interoperable event notification and care coordination(American Board of Family Medicine, 2021) Kartje, Rebecca; Dixon, Brian E.; Schwartzkopf, Ashley L.; Guerrero, Vivian; Judon, Kimberly M.; Yi, Joanne C.; Boockvar, Kenneth; Epidemiology, School of Public HealthIntroduction: Understanding how veterans use Veterans Affairs (VA) for primary care and non-VA for acute care can help policy makers predict future health care resource use. We aimed to describe characteristics of veterans enrolled in a multisite clinical trial of non-VA acute event notifications and care coordination and to identify patient factors associated with non-VA acute care. Methods: Characteristics of 565 veterans enrolled in a prospective cluster randomized trial at the Bronx and Indianapolis VA Medical Centers were obtained by interview and chart review. Results: Veterans' mean age was 75.8 years old, 98.3% were male, and 39.2% self-identified as a minority race; 81.2% reported receiving the majority of care at the VA. There were 197 (34.9%) veterans for whom a non-VA acute care alert was received. Patient characteristics significantly associated with greater odds of a non-VA alert included older age (OR = 1.05; 95% CI, 1.04-1.05); majority of care received is non-VA (OR = 1.83; 95% CI, 1.06-3.15); private insurance (OR = 1.39; 95% CI, 1.19-1.62); and higher income (OR = 4.01; 95% CI, 2.68-5.98). Conclusions: We identified several patient-level factors associated with non-VA acute care that can inform the design of VA services and policies for veterans with non-VA acute care encounters and reintegration back into the VA system.Item Clinic Factors Associated With Mailed Fecal Immunochemical Test (FIT) Completion: The Difference-Making Role of Support Staff(Annals of Family Medicine, 2022) Davis, Melinda M.; Schneider, Jennifer L.; Petrik, Amanda F.; Miech, Edward J.; Younger, Brittany; Escaron, Anne L.; Rivelli, Jennifer S.; Thompson, Jamie H.; Nyongesa, Denis; Coronado, Gloria D.; Emergency Medicine, School of MedicinePurpose: Mailed fecal immunochemical test (FIT) programs can facilitate colorectal cancer (CRC) screening. We sought to identify modifiable, clinic-level factors that distinguish primary care clinics with higher vs lower FIT completion rates in response to a centralized mailed FIT program. Methods: We used baseline observational data from 15 clinics within a single urban federally qualified health center participating in a pragmatic trial to optimize a mailed FIT program. Clinic-level data included interviews with leadership using a guide informed by the Consolidated Framework for Implementation Research (CFIR) and FIT completion rates. We used template analysis to identify explanatory factors and configurational comparative methods to identify specific combinations of clinic-level conditions that uniquely distinguished clinics with higher and lower FIT completion rates. Results: We interviewed 39 clinic leaders and identified 58 potential explanatory factors representing clinic workflows and the CFIR inner setting domain. Clinic-level FIT completion rates ranged from 30% to 56%. The configurational model for clinics with higher rates (≥37%) featured any 1 of the following 3 factors related to support staff: (1) adding back- or front-office staff in past 12 months, (2) having staff help patients resolve barriers to CRC screening, and (3) having staff hand out FITs/educate patients. The model for clinics with lower rates involved the combined absence of these same 3 factors. Conclusions: Three factors related to support staff differentiated clinics with higher and lower FIT completion rates. Adding nonphysician support staff and having those staff provide enabling services might help clinics optimize mailed FIT screening programs.Item Correction to: Development and Feasibility Testing of a Multilevel Intervention to Increase Hepatitis C Virus Screening Among Baby Boomers in Primary Care(Springer, 2023) Kasting, Monica L.; Laily, Alfu; Nephew, Lauren D.; Shields, Cleveland G.; Shedd‑Steele, Rivienne; Rawl, Susan M.; Medicine, School of MedicineCorrection to: Journal of Cancer Education 10.1007/s13187-023-02268-x The original version of this article unfortunately contained a mistake. Table 3, p.8 of the article, the header REMINDER LETTER should be replaced with EDUCATIONAL VIDEO. The original article has been corrected.Item Development and Feasibility Testing of a Multilevel Intervention to Increase Hepatitis C Virus Screening Among Baby Boomers in Primary Care(Springer, 2023) Kasting, Monica L.; Laily, Alfu; Nephew, Lauren D.; Shields, Cleveland G.; Shedd‑Steele, Rivienne; Rawl, Susan M.; Medicine, School of MedicineChronic infection with hepatitis C virus (HCV) results in an increased risk of cirrhosis and hepatocellular carcinoma (HCC). Only 15% of baby boomers (born 1945–1965) have ever been screened. We aimed to develop a multilevel intervention to increase HCV screening for baby boomers in a primary care setting. This study included two phases: intervention development (phase 1) and feasibility testing (phase 2). In phase 1, we partnered with a Community Advisory Board and a Provider Advisory Board to develop a multilevel intervention to increase HCV screening to be delivered to both providers and patients in primary care. Phase 2 assessed intervention feasibility, acceptability, and usability by conducting Concurrent Think Aloud (CTA) interviews and surveys using previously validated scales with patients (n = 8) and providers (n = 7). Phase 1 results: The patient-level intervention included a mailed reminder letter and CDC pamphlet and a 7-min in-clinic educational video. The provider-level intervention included a 30-min educational session and monthly performance feedback e-mails. Phase 2 results: Qualitatively, both the patient and provider-level intervention were feasible, acceptable, and usable by the target audiences. Quantitatively, on a 1–4 scale, the range of patient-level scores was 3.00–4.00 and provider level was 3.50–4.00 for feasibility, acceptability, and usability. This intervention could improve HCV screening among a high-risk population and therefore reduce HCV-related morbidity and mortality. This project developed a feasible, acceptable, and usable multilevel intervention aimed at increasing HCV screening in primary care.Item Diagnostic Accuracy of Primary Care Clinicians Across a Statewide System of Autism Evaluation(American Academy of Pediatrics, 2023) McNally Keehn, Rebecca; Swigonski, Nancy; Enneking, Brett; Ryan, Tybytha; Monahan, Patrick; Martin, Ann Marie; Hamrick, Lisa; Kadlaskar, Girija; Paxton, Angela; Ciccarelli, Mary; Keehn, Brandon; Pediatrics, School of MedicineObjectives: To evaluate the diagnostic accuracy of the Early Autism Evaluation (EAE) Hub system, a statewide network that provides specialized training and collaborative support to community primary care providers in the diagnosis of young children at risk for autism spectrum disorder (ASD). Methods: EAE Hub clinicians referred children, aged 14 to 48 months, to this prospective diagnostic study for blinded follow-up expert evaluation including assessment of developmental level, adaptive behavior, and ASD symptom severity. The primary outcome was agreement on categorical ASD diagnosis between EAE Hub clinician (index diagnosis) and ASD expert (reference standard). Results: Among 126 children (mean age: 2.6 years; 77% male; 14% Latinx; 66% non-Latinx white), 82% (n = 103) had consistent ASD outcomes between the index and reference evaluation. Sensitivity was 81.5%, specificity was 82.4%, positive predictive value was 92.6%, and negative predictive value was 62.2%. There was no difference in accuracy by EAE Hub clinician or site. Across measures of development, there were significant differences between true positive and false negative (FN) cases (all Ps < .001; Cohen's d = 1.1-1.4), with true positive cases evidencing greater impairment. Conclusions: Community-based primary care clinicians who receive specialty training can make accurate ASD diagnoses in most cases. Diagnostic disagreements were predominately FN cases in which EAE Hub clinicians had difficulty differentiating ASD and global developmental delay. FN cases were associated with a differential diagnostic and phenotypic profile. This research has significant implications for the development of future population health solutions that address ASD diagnostic delays.Item Effect of collaborative depression treatment on risk for diabetes: A 9-year follow-up of the IMPACT randomized controlled trial(PLOS, 2018-08-23) Khambaty, Tasneem; Callahan, Christopher M.; Stewart, Jesse C.; Medicine, School of MedicineConsiderable epidemiologic evidence and plausible biobehavioral mechanisms suggest that depression is an independent risk factor for diabetes. Moreover, reducing the elevated diabetes risk of depressed individuals is imperative given that both conditions are leading causes of death and disability. However, because no prior study has examined clinical diabetes outcomes among depressed patients at risk for diabetes, the question of whether depression treatment prevents or delays diabetes onset remains unanswered. Accordingly, we examined the effect of a 12-month collaborative care program for late-life depression on 9-year diabetes incidence among depressed, older adults initially free of diabetes. Participants were 119 primary care patients [M (SD) age: 67.2 (6.9) years, 41% African American] with a depressive disorder but without diabetes enrolled at the Indiana sites of the Improving Mood-Promoting Access to Collaborative Treatment (IMPACT) trial. Incident diabetes cases were defined as diabetes diagnoses, positive laboratory values, or diabetes medication prescription, and were identified using electronic medical record and Medicare/Medicaid data. Surprisingly, the rate of incident diabetes in the collaborative care group was 37% (22/59) versus 28% (17/60) in the usual care group. Even though the collaborative care group exhibited greater reductions in depressive symptom severity (p = .024), unadjusted (HR = 1.29, 95% CI: 0.69-2.43, p = .428) and adjusted (HR = 1.18, 95% CI: 0.61-2.29, p = .616) Cox proportional hazards models indicated that the risk of incident diabetes did not differ between the treatment groups. Our novel preliminary findings raise the possibility that depression treatment alone may be insufficient to reduce the excess diabetes risk of depressed, older adults.Item Electronic Co-design (ECO-design) Workshop for Increasing Clinician Participation in the Design of Health Services Interventions: Participatory Design Approach(JMIR Publications, 2022-09-22) Savoy, April; Patel, Himalaya; Shahid, Umber; Offner, Alexis D.; Singh, Hardeep; Giardina, Traber D.; Meyer, Ashley N.D.Background: Participation from clinician stakeholders can improve the design and implementation of health care interventions. Participatory design methods, especially co-design methods, comprise stakeholder-led design activities that are time-consuming. Competing work demands and increasing workloads make clinicians' commitments to typical participatory methods even harder. The COVID-19 pandemic further exacerbated barriers to clinician participation in such interventions. Objective: The aim of this study was to explore a web-based participatory design approach to conduct economical, electronic co-design (ECO-design) workshops with primary care clinicians. Methods: We adapted traditional in-person co-design workshops to web-based delivery and adapted co-design workshop series to fit within a single 1-hour session. We applied the ECO-design workshop approach to codevelop feedback interventions regarding abnormal test result follow-up in primary care. We conducted ECO-design workshops with primary care clinicians at a medical center in Southern Texas, using videoconferencing software. Each workshop focused on one of three types of feedback interventions: conversation guide, email template, and dashboard prototype. We paired electronic materials and software features to facilitate participant interactions, prototyping, and data collection. The workshop protocol included four main activities: problem identification, solution generation, prototyping, and debriefing. Two facilitators were assigned to each workshop and one researcher resolved technical problems. After the workshops, our research team met to debrief and evaluate workshops. Results: A total of 28 primary care clinicians participated in our ECO-design workshops. We completed 4 parallel workshops, each with 5-10 participants. We conducted traditional analyses and generated a clinician persona (ie, representative description) and user interface prototypes. We also formulated recommendations for future ECO-design workshop recruitment, technology, facilitation, and data collection. Overall, our adapted workshops successfully enabled primary care clinicians to participate without increasing their workload, even during a pandemic. Conclusions: ECO-design workshops are viable, economical alternatives to traditional approaches. This approach fills a need for efficient methods to involve busy clinicians in the design of health care interventions.