Recommendation endpoints and safety of an online self-triage for depression symptoms.

INTRODUCTION: Online symptom checkers are a way to address patient concerns and potentially offload a burdened healthcare system. However, safety outcomes of self-triage are unknown, so we reviewed triage recommendations and outcomes of our institution's depression symptom checker. METHODS: We examined endpoint recommendations and follow-up encounters seven days afterward during 2 December 2021 to 13 December 2022. Patients with an emergency department visit or hospitalization within seven days of self-triaging had a manual review of the electronic health record to determine if the visit was related to depression, suicidal ideation, or suicide attempt. Charts were reviewed for deaths within seven days of self-triage. RESULTS: There were 287 unique encounters from 263 unique patients. In 86.1% (247/287), the endpoint was an instruction to call nurse triage; in 3.1% of encounters (9/287), instruction was to seek emergency care. Only 20.2% (58/287) followed the recommendations given. Of the 229 patients that did not follow the endpoint recommendations, 121 (52.8%) had some type of follow-up within seven days. Nearly 11% (31/287) were triaged to endpoints not requiring urgent contact and 9.1% (26/287) to an endpoint that would not need any healthcare team input. No patients died in the study period. CONCLUSIONS: Most patients did not follow the recommendations for follow-up care although ultimately most patients did receive care within seven days. Self-triage appears to appropriately sort patients with depressed mood to emergency care. On-line self-triaging tools for depression have the potential to safely offload some work from clinic personnel.

Self-Triage Use, Subsequent Healthcare Utilization, and Diagnoses: A Retrospective Study of Process and Clinical Outcomes Following Self-Triage and Self-Scheduling for Ear or Hearing Symptoms.

Background: Self-triage is becoming more widespread, but little is known about the people who are using online self-triage tools and their outcomes. For self-triage researchers, there are significant barriers to capturing subsequent healthcare outcomes. Our integrated healthcare system was able to capture subsequent healthcare utilization of individuals who used self-triage integrated with self-scheduling of provider visits. Methods: We retrospectively examined healthcare utilization and diagnoses after patients had used self-triage and self-scheduling for ear or hearing symptoms. Outcomes and counts of office visits, telemedicine interactions, emergency department visits, and hospitalizations were captured. Diagnosis codes associated with subsequent provider visits were dichotomously categorized as being associated with ear or hearing concerns or not. Nonvisit care encounters of patient-initiated messages, nurse triage calls, and clinical communications were also captured. Results: For 2168 self-triage uses, we were able to capture subsequent healthcare encounters within 7 days of the self-triage for 80.5% (1745/2168). In subsequent 1092 office visits with diagnoses, 83.1% (891/1092) of the uses were associated with relevant ear, nose and throat diagnoses. Only 0.24% (4/1662) of patients with captured outcomes were associated with a hospitalization within 7 days. Self-triage resulted in a self-scheduled office visit in 7.2% (126/1745). Office visits resulting from a self-scheduled visit had significantly fewer combined non-visit care encounters per office visit (fewer combined nurse triage calls, patient messages, and clinical communication messages) than office visits that were not self-scheduled (-0.51; 95% CI, -0.72 to -0.29; P < .0001). Conclusion: In an appropriate healthcare setting, self-triage outcomes can be captured in a high percentage of uses to examine for safety, patient adherence to recommendations, and efficiency of self-triage. With the ear or hearing self-triage, most uses had subsequent visit diagnoses relevant to ear or hearing, so most patients appeared to be selecting the appropriate self-triage pathway for their symptoms.

Comparison of Virtual Management of Vulvovaginal Candidiasis to Traditional In-Person Care.

Objective: Compare demographics, treatment, and follow-up rates for patients with complaints of vulvovaginitis suggestive of candida infection evaluated via e-visit, face-to-face (F2F) visits, or nurse-administered phone protocol. Methods: Manual review of 150 vaginitis visits of each visit type (e-visit, F2F, and phone protocol) completed between May 5, 2018 through January 31, 2020 by Mayo Clinic patients residing in Minnesota. Outcomes: Comparison between the three visit types of patient characteristics, treatment rates, type of treatment, follow-up rates, and types of follow-up. Results: Patients utilizing phone visits were significantly older than those seeking care via e-visit (p < 0.0001) or F2F (p = 0.001) and were more likely to be treated with oral fluconazole than those treated by e-visit (p < 0.0001) or F2F (p < 0.0001) encounters. Patients were significantly less likely to receive fungal directed treatment at a F2F visit than an e-visit (p < 0.0001) or phone encounter (p < 0.0001). There was no significant difference in follow-up rates between the three groups. Conclusion: Virtual visits (non-F2F) for suspected vulvovaginal candidiasis are unlikely to result in more follow-up visits than F2F encounters; however, prescriptions for antifungals are significantly higher with virtual visits.

McIsaac score for group A streptococcal infection: Comparison of electronic visits versus face-to-face visits.

INTRODUCTION: Acute sore throat is a common complaint traditionally completed with an in-person visit. However, non-face-to-face telemedicine visits offer greater access at reduced cost. We evaluated patient/caregiver asynchronous text-based electronic visits (eVisits) for acute sore throat and whether there was concordance for individual components and total McIsaac score compared to a clinician's assessment. eVisits were completed by patients and/or their caregivers via a secure patient portal. METHODS: In this retrospective study, we manually reviewed charts between February 2017 and July 2019 of patients who had an eVisit, in-person visit and group A streptococcal (GAS) test performed on the same day for an acute sore throat. We calculated a McIsaac score for eVisits and in-person visits, and compared each component and total score using Cohen's kappa agreement statistic. RESULTS: There were 320 instances of patients who had an eVisit, in-person visit and GAS testing done on the same day. Approximately a third of eVisits were missing at least one McIsaac component, with the physical examination elements missing most commonly. Individual score congruence was moderate for cough (0.41), fair for fever (0.34) and slight for tonsillar swelling/exudate and lymphadenopathy (0.17 and 0.08, respectively), with total congruence being slight to fair (0.09-0.37). A McIsaac score of ≤1 showed moderate agreement (0.44). Visits with complete individual score components demonstrated improved congruence: substantial for cough (0.64), moderate for fever (0.57), fair for tonsillar swelling (0.3) and slight for lymphadenopathy (0.13). DISCUSSION: Overall agreement for individual score components was better for symptoms than it was for examination components, and was improved when data were complete. A McIsaac score of 1 or 0 had moderate agreement and thus could reasonably be safely used to exclude patients from GAS testing.

Portal Message Language Use Prior to Suicide, Suicide Attempts, and Hospitalization for Depression.

Introduction: Previous research suggests patients may be willing to communicate serious psychiatric concerns through patient portals. Methods: Retrospective chart review of portal messages sent by patients who had an emergency department (ED) visit or hospitalization for depression, self-harm, or suicidality or had a completed suicide (cases) was reviewed for content that was suggestive of depression or self-harm and language indicating emotional distress. Comparison with a randomly selected group (controls) was performed. Results: During the study period 420 messages were sent by 149 patients within 30 days of death by suicide, ED visit, and/or hospitalization related to depression, suicidality, or suicide attempt. Thirteen patients died by suicide but only 23% (3 of 13) sent one or more portal messages within 30 days before their death. None mentioned thoughts of self-harm. There were 271 messages sent by patients who were hospitalized, 142 messages by those who presented to the ED, and 56 messages patients who attempted suicide. Patient messages from cases were more likely than messages from controls to convey a depressed mood (17.1% vs. 3.1%, odds ratio 6.5; 95% confidence interval 3.6-11.9, p < 0.0001), thoughts of suicide or self-harm (4.8% vs. 0% p < 0.0001), or have a distressed tone (24.0% vs. 1.7%, odds ratio 18.7; 95% confidence interval 8.6-41, p < 0.0001). Conclusions: Patient portal messages from patients with subsequent hospitalizations for depression and suicidality do report thoughts of depression, distress, and thoughts of self-harm. However, portal use before completed suicide was not helpful at identifying at-risk patients although total numbers were small.

Use of the McIsaac Score to Predict Group A Streptococcal Pharyngitis in Outpatient Nurse Phone Triage and Electronic Visits Compared With In-Person Visits: Retrospective Observational Study.

BACKGROUND: The McIsaac criteria are a validated scoring system used to determine the likelihood of an acute sore throat being caused by group A streptococcus (GAS) to stratify patients who need strep testing. OBJECTIVE: We aim to compare McIsaac criteria obtained during face-to-face (f2f) and non-f2f encounters. METHODS: This retrospective study compared the percentage of positive GAS tests by McIsaac score for scores calculated during nurse protocol phone encounters, e-visits (electronic visits), and in person f2f clinic visits. RESULTS: There was no difference in percentages of positive strep tests between encounter types for any of the McIsaac scores. There were significantly more phone and e-visit encounters with any missing score components compared with f2f visits. For individual score components, there were significantly fewer e-visits missing fever and cough information compared with phone encounters and f2f encounters. F2f encounters were significantly less likely to be missing descriptions of tonsils and lymphadenopathy compared with phone and e-visit encounters. McIsaac scores of 4 had positive GAS rates of 55% to 68% across encounter types. There were 4 encounters not missing any score components with a McIsaac score of 0. None of these 4 encounters had a positive GAS test. CONCLUSIONS: McIsaac scores of 4 collected during non-f2f care could be used to consider empiric treatment for GAS without testing if significant barriers to testing exist such as the COVID-19 pandemic or geographic barriers. Future studies should evaluate further whether non-f2f encounters with McIsaac scores of 0 can be safely excluded from GAS testing.

Vitamin D Status and Severe COVID-19 Disease Outcomes in Hospitalized Patients.

BACKGROUND: Vitamin D deficiency may increase the risk of severe COVID-19 disease. OBJECTIVES: To determine if 25-hydroxyvitamin D [25(OH)D] levels in patients hospitalized for COVID-19 were associated with the clinical outcomes of days on oxygen, duration of hospitalization, ICU admission, need for assisted ventilation, or mortality. METHODS: We conducted a retrospective study of 92 patients admitted to the hospital with SARS-CoV-2 infection between April 16, 2020 and October 17, 2020. Multivariable regression was performed to assess the independent relationship of 25(OH)D values on outcomes, adjusting for significant covariates and the hospitalization day the level was tested. RESULTS: About 15 patients (16.3%) had 25(OH)D levels <20 ng/mL. Only 1 patient (3.4%) who had documented vitamin D supplementation prior to admission had 25(OH)D <20 ng/mL. Serum 25(OH)D concentrations were not significantly associated with any of our primary outcomes of days on oxygen, duration of hospitalization, intensive care unit (ICU) admission, need for mechanical ventilation, or mortality in any of the adjusted multivariable models. Adjusting for the hospital day of 25(OH)D sampling did not alter the relationship of 25(OH)D with any outcomes. CONCLUSION: Vitamin D status was not related to any of the primary outcomes reflecting severity of COVID-19 in hospitalized patients. However, our sample size may have lacked sufficient power to demonstrate a small effect of vitamin D status on these outcomes.

Patient Voice and Mission: Why Do Patients Choose Family Medicine and What Do They Value?

Known gaps exist between what patients value and institutions prioritize. We sought to incorporate patients' reasons for valuing family medicine into a new Mission and Vision statement by deploying brief surveys to a convenience sample of patients. We conducted descriptive quantitative analyses of demographics and inductive content analysis of written responses. Patients returned 92 (20%) of 450 questionnaires. Responders were 63% female, mean age of 47 years. Patients noted distinguishing features of family medicine were (1) continuity of care, (2) all-encompassing care, and (3) trusted referrals. Some patients reported not knowing there was a distinction between family medicine and other primary care.

Management of Acute Sinusitis via e-Visit.

Background: Acute sinusitis is the most common diagnosis in online health care delivery and is the diagnosis most associated with antibiotic prescriptions in the outpatient setting. Few studies have evaluated the effectiveness of managing sinusitis through e-visit in terms of antibiotic prescribing and follow-up rates. Introduction: The purpose of this study was to investigate whether e-visits for the management of acute sinusitis have equivalent clinical outcomes for patients when compared with face-to-face (F2F) visits and nurse-administered phone protocols in terms of antibiotic prescriptions and follow-up rates. Materials and Methods: A retrospective chart review was conducted on empaneled primary care patients between the ages of 18 and 75 years who had a clinical encounter for acute sinusitis at Mayo Clinic Rochester through e-visit, retail health clinic, or phone protocol. Initial antibiotic prescribing rates and follow-up rates for each encounter type were compared. Results: Both e-visit and phone protocol sinusitis encounters were less likely to result in initial treatment with an antibiotic than an F2F visit (84/150 [56%] e-visit, 92/150 [61%] phone, 108/150 [72%]; p = 0.01). There was no significant difference in follow-up rate between e-visits and F2F (27/150 [18%] vs. 21/150 [14%]; p = 0.34), and e-visits had significantly fewer follow-up visits than phone protocol (27/150 [18%] vs. 53/150 [35%]; p < 0.001). Conclusions: e-Visits are an effective modality to care for patients with acute sinusitis, offering equivalent or lower treatment and follow-up rates than more traditional avenues such as F2F visit at a retail clinic and phone protocol.

A Retrospective Analysis of Provider-to-Patient Secure Messages: How Much Are They Increasing, Who Is Doing the Work, and Is the Work Happening After Hours?

BACKGROUND: Patient portal registration and the use of secure messaging are increasing. However, little is known about how the work of responding to and initiating patient messages is distributed among care team members and how these messages may affect work after hours. OBJECTIVE: This study aimed to examine the growth of secure messages and determine how the work of provider responses to patient-initiated secure messages and provider-initiated secure messages is distributed across care teams and across work and after-work hours. METHODS: We collected secure messages sent from providers from January 1, 2013, to March 15, 2018, at Mayo Clinic, Rochester, Minnesota, both in response to patient secure messages and provider-initiated secure messages. We examined counts of messages over time, how the work of responding to messages and initiating messages was distributed among health care workers, messages sent per provider, messages per unique patient, and when the work was completed (proportion of messages sent after standard work hours). RESULTS: Portal registration for patients having clinic visits increased from 33% to 62%, and increasingly more patients and providers were engaged in messaging. Provider message responses to individual patients increased significantly in both primary care and specialty practices. Message responses per specialty physician provider increased from 15 responses per provider per year to 53 responses per provider per year from 2013 to 2018, resulting in a 253% increase. Primary care physician message responses increased from 153 per provider per year to 322 from 2013 to 2018, resulting in a 110% increase. Physicians, nurse practitioners, physician assistants, and registered nurses, all contributed to the substantial increases in the number of messages sent. CONCLUSIONS: Provider-sent secure messages at a large health care institution have increased substantially since implementation of secure messaging between patients and providers. The effort of responding to and initiating messages to patients was distributed across multiple provider categories. The percentage of message responses occurring after hours showed little substantial change over time compared with the overall increase in message volume.

Is a switch to a different electronic health record associated with a change in patient satisfaction?

OBJECTIVE: Financial impacts associated with a switch to a different electronic health record (EHR) have been documented. Less attention has been focused on the patient response to an EHR switch. The Mayo Clinic was involved in an EHR switch that occurred at 6 different locations and with 4 different "go-live" dates. We sought to understand the relationship between patient satisfaction and the transition to a new EHR. MATERIALS AND METHODS: We used patient satisfaction data collected by Press Ganey from July 2016 through December 2019. Our patient satisfaction measure was the percent of patients responding "very good" (top box) to survey questions. Twenty-four survey questions were summarized by Press Ganey into 6 patient satisfaction domains. Piecewise linear regression was used to model patient satisfaction before and after the EHR switch dates. RESULTS: Significant drops in patient satisfaction were associated with the EHR switch. Patient satisfaction with access (ease of getting clinic on phone, ease of scheduling appointments, etc.) was most affected (range of 6 sites absolute decline: -3.4% to -8.8%; all significant at 99% confidence interval). Satisfaction with providers was least affected (range of 6 sites absolute decline: -0.5% to -2.8%; 4 of 6 sites significant at 99% confidence interval). After 9-15 months, patient satisfaction with access climbed back to pre-EHR switch levels. CONCLUSIONS: Patient satisfaction in several patient experience domains dropped significantly and stayed lower than pre-"go-live" for several months after a switch in EHR. Satisfaction with providers declined less than satisfaction with access.

Comparison of eVisit Management of Urinary Symptoms and Urinary Tract Infections with Standard Care.

Background: Urinary symptoms and urinary tract infections (UTIs) are common complaints for which women seek health care. Evolving modalities of care delivery have shifted management of these complaints from in-person face-to-face (F2F) visits, to nurse phone protocol management, and recently to online assessment via eVisit. While research has vetted the use of nurse phone protocol management, eVisit management outcomes have not been thoroughly studied. Purpose: To compare antibiotic prescribing, follow-up rates, and clinical outcomes between F2F visits at a retail clinic, nurse phone protocol encounters, and eVisits for the assessment and management of urinary symptoms and UTIs. Methods: A retrospective chart review of primary care empaneled patients at Mayo Clinic Rochester was conducted of females, 18 to 65 years old, who sought care for urinary symptoms via phone, eVisit, or F2F visit from August 1, 2016, through May 1, 2017. A total of 450 encounters, 150 from each of the 3 encounter types, were manually reviewed and compared for antibiotic prescribing rates, clinical outcomes, and 30-day follow-up rates. Results: Antibiotic prescribing rates for all three encounter types were similar. Referral for follow-up at initial encounter was more likely to be recommended from phone and eVisit encounters than F2F. No significant differences in follow-up rates or clinical outcomes were noted between the three encounter types. Conclusions: eVisits for urinary symptoms and UTI offer patients a convenient option for care without an increased use of antimicrobials, follow-up, or adverse clinical outcomes when compared with F2F visits or nurse-administered phone protocols.

Treating pediatric conjunctivitis without an exam: An evaluation of outcomes and antibiotic usage.

OBJECTIVE: The objective of this research paper is to compare antibiotic treatment, follow-up rates, and types of follow-up encounters among eVisits, phone calls, and in-person encounters for pediatric conjunctivitis. STUDY DESIGN: A retrospective chart review of pediatric patients evaluated for conjunctivitis between May 1, 2016 and May 1, 2017, was performed. A total of 101 eVisits, 202 in-person retail clinic visits, and 202 nurse phone calls for conjunctivitis were manually reviewed for outcomes. Exclusion criteria included previous encounter for conjunctivitis in the past 14 days, treatment with an oral antibiotic at the initial encounter, or patient outside Minnesota at the time of encounter. Comparison among the three encounter types with regard to follow-up rates, follow-up encounter type within 14 days of initial evaluation, and prescribing rates was performed. RESULTS: Patients completing non-face-to-face encounters were significantly more likely to have follow-up care (34.6% and 45.5%) than those who had a face-to-face visit at the retail clinic (7.4%), p ≤ 0.0001. Patients initially evaluated by eVisit were more likely to have follow-up at the retail clinic while patients initially evaluated by phone call were more likely to have follow-up in their primary care office. Treatment rates with antibiotics were significantly higher in phone call encounters (41.6%) than in eVisits (25.7%) or face-to-face encounters (19.8%), p < 0.0001. CONCLUSIONS: Non-face-to-face visits have significantly higher rates of follow-up when compared to face-to-face encounters. Antibiotic prescribing is greater with phone call triage encounters; however, there was no significant difference in antibiotic prescribing rates between eVisits and face-to-face visits. Follow-up type varied according to site of initial encounter.

Population health challenges in primary care: What are the unfinished tasks and who should do them?

BACKGROUND: There are numerous recommendations from expert sources that help guide primary care providers in cancer screening, infectious disease screening, metabolic screening, monitoring of drug levels, and chronic disease management. Little is known about the potential effort needed for a healthcare system to address these recommendations, or the patient effort needed to complete the recommendations. METHODS: For 73 recommended population healthcare items, we examined each of 28,742 patients in a primary care internal medicine practice to determine whether they were up-to-date on recommended screening, immunizations, counseling, and chronic disease management goals. We used a rule-based software tool that queries the medical record for diagnoses, dates, laboratory values, pathology reports, and other information used in creating the individualized recommendations. We counted the number of uncompleted recommendations by age groups and examined the healthcare staff needed to address the recommendations and the potential patient effort needed to complete the recommendations. RESULTS: For the 28,742 patients, there were 127,273 uncompleted recommendations identified for population health management (mean recommendations per patient 4.36, standard deviation of 2.65, range of 0-17 recommendations per patient). The age group with the most incomplete recommendations was age of 50-65 years with 5.5 recommendations per patient. The 18-35 years age group had the fewest incomplete recommendations with 2.6 per patient. Across all age groups, initiation of these recommendations required high-level input (physician, nurse practitioner, or physician's assistant) in 28%. To completely adhere to recommended services, a 1000-patient cross-section cohort would require a total of 464 procedures and 1956 lab tests. CONCLUSION: Providers and patients face a daunting number of tasks necessary to meet guideline-generated recommendations. We will need new approaches to address the burgeoning numbers of uncompleted recommendations.

Electronic Visits for Minor Acute Illnesses: Analysis of Patient Demographics, Prescription Rates, and Follow-Up Care Within an Asynchronous Text-Based Online Visit.

INTRODUCTION: Patients can obtain medical advice and treatment from a healthcare provider asynchronously through an electronic visit (eVisit) within a secure online portal. METHODS: We conducted a retrospective record review of Mayo Clinic Rochester primary care empaneled patients who had an eVisit for a minor acute illness and were reviewed for 30-day outcomes of follow-up. RESULTS: Of the 1,009 eVisits analyzed, a total of 340 (34%) had follow-up within 30 days, with a follow-up rate of 154 (20%) when those who were advised to follow-up were excluded. Factors significantly associated with any type of follow-up care included specific advice for follow-up given by the eVisit provider and lack of a prescription given at the eVisit. The majority of eVisits were requested by females (88%), although gender was not associated with likelihood of having follow-up care. Fourteen patients received follow-up care in the emergency department, one patient was hospitalized, and zero deaths occurred within 30 days of the eVisit. Most eVisits (70%) were requested during regular clinic hours. Four diagnoses (urinary tract infection, sinusitis, upper respiratory infection, and conjunctivitis) comprised 87% of all eVisits. CONCLUSION: Most eVisits for minor acute illnesses can be completed without any further interaction with the healthcare system.

Uses of Mobile Device Digital Photography of Dermatologic Conditions in Primary Care.

BACKGROUND: PhotoExam is a mobile app that incorporates digital photographs into the electronic health record (EHR) using iPhone operating system (iOS, Apple Inc)-based mobile devices. OBJECTIVE: The aim of this study was to describe usage patterns of PhotoExam in primary care and to assess clinician-level factors that influence the use of the PhotoExam app for teledermatology (TD) purposes. METHODS: Retrospective record review of primary care patients who had one or more photos taken with the PhotoExam app between February 16, 2015 to February 29, 2016 were reviewed for 30-day outcomes for rates of dermatology consult request, mode of dermatology consultation (curbside phone consult, eConsult, and in-person consult), specialty and training level of clinician using the app, performance of skin biopsy, and final pathological diagnosis (benign vs malignant). RESULTS: During the study period, there were 1139 photo sessions on 1059 unique patients. Of the 1139 sessions, 395 (34.68%) sessions documented dermatologist input in the EHR via dermatology curbside consultation, eConsult, and in-person dermatology consult. Clinicians utilized curbside phone consults preferentially over eConsults for TD. By clinician type, nurse practitioners (NPs) and physician assistants (PAs) were more likely to utilize the PhotoExam for TD as compared with physicians. By specialty type, pediatric clinicians were more likely to utilize the PhotoExam for TD as compared with family medicine and internal medicine clinicians. A total of 108 (9.5%) photo sessions had a biopsy performed of the photographed site. Of these, 46 biopsies (42.6%) were performed by a primary care clinician, and 27 (25.0%) biopsies were interpreted as a malignancy. Of the 27 biopsies that revealed malignant findings, 6 (22%) had a TD consultation before biopsy, and 10 (37%) of these biopsies were obtained by primary care clinicians. CONCLUSIONS: Clinicians primarily used the PhotoExam for non-TD purposes. Nurse practitioners and PAs utilized the app for TD purposes more than physicians. Primary care clinicians requested curbside dermatology consults more frequently than dermatology eConsults.

A retrospective analysis of medical record use in e-consultations.

Introduction Under certain circumstances, e-consultations can substitute for a face-to-face consultation. A basic requirement for a successful e-consultation is that the e-consultant has access to important medical history and exam findings along with laboratory and imaging results. Knowing just what information the specialist needs to complete an e-consultation is a major challenge. This paper examines differences between specialties in their need for past information from laboratory, imaging and clinical notes. Methods This is a retrospective study of patients who had an internal e-consultation performed at an academic medical centre. We reviewed a random sample of e-consultations that occurred in the first half of 2013 for the indication for the e-consultation and whether the e-consultant reviewed data in the medical record that was older than one year to perform the e-consultation. Results Out of 3008 total e-consultations we reviewed 360 (12%) randomly selected e-consultations from 12 specialties. Questions on management (35.8%), image results (27.2%) and laboratory results (25%) were the three most common indications for e-consultation. E-consultants reviewed medical records in existence more than one year prior to the e-consultation 146 (40.6%) of the time with e-consultants in the specialties of endocrinology, haematology and rheumatology, reviewing records older than one year more than half the time. Labs (20.3%), office notes (20%) and imaging (17.8%) were the types of medical data older than one year that were reviewed the most frequently overall. Discussion Management questions appear to be the most common reason for e-consultation. E-consultants frequently reviewed historical medical data that is older than one year at the time of the e-consultation, especially in endocrinology, haematology and rheumatology specialties. Practices engaging in e-consultations that require transfer of data may want to include longer time frames of historical information for those specialties.

Comparing performance of 30-day readmission risk classifiers among hospitalized primary care patients.

RATIONALE, AIMS AND OBJECTIVES: Hospital readmission within 30 days of discharge occurs in almost 20% of US Medicare patients and may be a marker of poor quality inpatient care, ineffective hospital to home transitions, or disease severity. Within a patient centered medical home, care transition interventions may only be practical from cost and staffing perspectives if targeted at patients with the greatest risk of readmission. Various scoring algorithms attempt to predict patients at risk for 30-day readmission, but head-to-head comparison of performance is lacking. Compare published scoring algorithms which use generally available electronic medical record data on the same set of hospitalized primary care patients. METHODS: The LACE index, the LACE+ index, the HOSPITAL score, and the readmission risk score were computed on a consecutive cohort of 26,278 hospital admissions. Classifier performance was assessed by plotting receiver operating characteristic curves comparing the computed score with the actual outcome of death or readmission within 30 days. Statistical significance of differences in performance was assessed using bootstrapping techniques. RESULTS: Correct readmission classification on this cohort was moderate with the following c-statistics: Readmission risk score 0.666; LACE 0.680; LACE+ 0.662; and HOSPITAL 0.675. There was no statistically significant difference in performance between classifiers. CONCLUSIONS: Logistic regression based classifiers yield only moderate performance when utilized to predict 30-day readmissions. The task is difficult due to the variety of underlying causes for readmission, nonlinearity, and the arbitrary time period of concern. More sophisticated classification techniques may be necessary to increase performance and allow patient centered medical homes to effectively focus efforts to reduce readmissions.

Comparison of Clinical Risk Tools for Predicting Osteoporosis in Women Ages 50-64.

OBJECTIVE: The objective of this study was to compare the performance of the US Preventive Services Task Force (USPSTF) recommended WHO Fracture Risk Assessment Tool (FRAX) threshold score of 9.3% (calculated without femoral neck bone density) with the Simple Calculated Osteoporosis Risk Estimate (SCORE), Osteoporosis Self-Assessment Tool (OST), and the Osteoporosis Risk Assessment Instrument (ORAI) to identify osteoporosis in younger women. METHODS: We conducted a retrospective review of women ages 50 to 64 years who underwent dual-energy radiographic absorptiometry (DXA) at our institution over a 6-month period. Scores for the FRAX, ORAI, OST, and SCORE tools were calculated using various thresholds: FRAX ≥9.3%, SCORE ≥6, OST <2, and ORAI ≥9. Sensitivity, specificity, and area under the receiver-operating characteristic curve for detection of densitometric osteoporosis by DXA for each tool were compared. RESULTS: A total of 290 women were identified. Of these, 284 (97.9%) were white, and the mean ± standard deviation age was 56.6 ± 3.4 years. Fifty (17.2%) had osteoporosis of the lumbar spine and/or femoral neck on DXA. Sensitivity, specificity, and area under the receiver-operating characteristic curve for identifying densitometric osteoporosis at the femoral neck and/or spine were 36%, 73%, and 0.55 for FRAX; 74%, 42%, and 0.58 for SCORE; 56%, 69%, and 0.63 for the OST; and 52%, 67%, and 0.60 for the ORAI, respectively. CONCLUSIONS: DXA screening based on the USPSTF-recommended FRAX threshold score of 9.3% has a low sensitivity to identify densitometric osteoporosis in women ages 50 to 64. Lowering the threshold score would increase sensitivity but would also increase the number of women sent for screening DXA. Use of the validated SCORE tool would improve sensitivity to identify osteoporosis in this age group.

A retrospective study on how primary care providers manage specialists' recommendations after an e-consultation.

INTRODUCTION: E-consultations are asynchronous text-based consultations between providers which can facilitate patient access to timely specialty care. In contrast to traditional face-to-face consults, conveying and completing recommendations of the specialist is the responsibility of the referring provider. This presents a new workflow for primary care providers who have multiple options (face-to-face, telephone, letter, secure message) to communicate the e-consultation recommendations. This study examines how primary care providers are managing this new workflow. METHODS: We performed a retrospective random sampling of e-consultations with individual medical record review and classified e-consultations by type of recommendation, how recommendations were communicated to patients, and whether recommendations were carried out. RESULTS: We randomly selected 220 e-consultations in 13 different specialties for review. In all, 85% of e-consultations contained recommendations for referring providers. Recommendations on medication(s) were most common (35%) followed by recommendations on ordering laboratory tests (29%). In all, 25% of the time e-consultants gave multiple possible courses of action for referring providers to choose from. Patient notification of recommendations was found for 192 (87%) of e-consultations with providers performing the notification 63% of the time and nursing staff performing the notification 37% of the time. The communication back to the patients included communication via nurse telephone calls (37%), provider telephone calls (23%), secure messages (24%), face-to-face visits (11%), and by written correspondence (5%). DISCUSSION: Managing recommendations from e-consultations results in a new workflow for primary care providers. Healthcare institutions that utilize e-consults should be aware of this new workflow. Further study is needed to determine best practices for this task that is now increasing in primary care.