Patient characteristics and utilization of an online patient portal in a rural academic general internal medicine practice.

BACKGROUND: Online patient portals have the potential to improve patient engagement and health care outcomes. This is especially true among rural patient populations that may live far from their health care providers and for whom transportation is a barrier to accessing care. This study compared the characteristics of active users of an online patient portal to non-users and assessed utilization among users in a rural academic primary care clinic to identify disparities in adoption and use. METHODS: We conducted a cross sectional study of 28,028 patients in a general internal medicine clinic between June 2019 and May 2020 to assess (a) characteristics of patients who had an online patient portal account and used the patient portal compared to those who did not register for an account, and (b) the frequency of use of the patient portal (number of logons and number of messages sent and received) by patients over the study period. We compared results based on demographic characteristics, focusing on gender, age, race, presence or absence of nine chronic illnesses, smoking status, and BMI. RESULTS: In the study cohort of 28,028 patients, 82% were active users of the patient portal. Females, patients aged 41-65, and non-smokers were more likely to use the portal than their counterparts. In total, patients with eight out of nine chronic illness groups studied (heart failure, cerebrovascular disease, history of a myocardial infarction, peripheral vascular disease, and renal disease) were less likely to use the patient portal than patients without these chronic conditions. On average, patients log onto the patient portal 25 times per year and send and receive 6 messages to and from the clinic. We found that females, patients older than 65, former smokers and obese patients logged on and sent and received more messages compared to the overall cohort. Although the sample size was small, on average Black patients logged onto the patient portal 19 times and sent and received 3.6 messages compared to White patients who logged on 25 times with 5.8 messages on average over the yearlong study period. CONCLUSIONS: In a rural academic internal medicine clinic, female patients, aged 41-65, non-smokers, and those without certain chronic conditions were more likely to use an online patient portal. Recognizing and addressing barriers to patient portal use is essential for robust and sustained patient portal uptake and ensuring that the benefits of portal use are equally distributed among all patients.

ASSESSING REFERRALS AND IMPROVING INFORMATION AVAILABILITY FOR CONSULTATIONS IN AN ACADEMIC ENDOCRINOLOGY CLINIC.

OBJECTIVE: Outpatient specialty consultations rely on the timeliness and completeness of referral information to facilitate a valuable patient-specialist interaction. This project aimed to increase essential diagnostic information availability at the initial consultation for patients referred for common endocrine conditions frequently lacking such data-diabetes mellitus, thyroid nodule, thyrotoxicosis, and hypercalcemia. METHODS: At an endocrinology clinic at an academic medical center in rural New England, providers see several thousand new patients annually, the majority of whom are referred by providers external to the clinic's healthcare system. Through consensus, endocrinology clinic providers agreed on the two or three data elements essential for a meaningful initial consultation for each. A quality improvement team employed a planned series of interventions based on previously published methods and an innovative approach: dissemination of a referral guideline, an assessment of referral adequacy in the endocrinology clinic workflow, coupled with focused requests for missing items, and a pre-visit lab appointment. RESULTS: Between April 2015 and March 2016, 762 referrals were reviewed. At baseline for the four conditions, referrals contained all essential elements only 27.5% (22 of 80) of the time. Over a 7-month period, the team implemented the interventions, with subsequent referrals containing all essential elements increasing to 75.5% (P<.0001), largely attributable to the pre-visit lab appointment. CONCLUSION: Incoming referrals that lack essential information are a significant problem in specialty care and may adversely affect patient experience, provider satisfaction, and clinic efficiency. Improvement may require innovative approaches, such as the potentially transferable and generalizable ones employed here. ABBREVIATIONS: DHMC = Dartmouth-Hitchcock Medical Center EHR = electronic health record PDSA = Plan-Do-Study-Act.

Depression screening optimization in an academic rural setting.

PURPOSE: Primary care plays a critical role in screening and management of depression. The purpose of this paper is to focus on leveraging the electronic health record (EHR) as well as work flow redesign to improve the efficiency and reliability of the process of depression screening in two adult primary care clinics of a rural academic institution in USA. DESIGN/METHODOLOGY/APPROACH: The authors utilized various process improvement tools from lean six sigma methodology including project charter, swim lane process maps, critical to quality tree, process control charts, fishbone diagrams, frequency impact matrix, mistake proofing and monitoring plan in Define-Measure-Analyze-Improve-Control format. Interventions included change in depression screening tool, optimization of data entry in EHR. EHR data entry optimization; follow up of positive screen, staff training and EHR redesign. FINDINGS: Depression screening rate for office-based primary care visits improved from 17.0 percent at baseline to 75.9 percent in the post-intervention control phase (p<0.001). Follow up of positive depression screen with Patient History Questionnaire-9 data collection remained above 90 percent. Duplication of depression screening increased from 0.6 percent initially to 11.7 percent and then decreased to 4.7 percent after optimization of data entry by patients and flow staff. RESEARCH LIMITATIONS/IMPLICATIONS: Impact of interventions on clinical outcomes could not be evaluated. ORIGINALITY/VALUE: Successful implementation, sustainability and revision of a process improvement initiative to facilitate screening, follow up and management of depression in primary care requires accounting for voice of the process (performance metrics), system limitations and voice of the customer (staff and patients) to overcome various system, customer and human resource constraints.

Reducing severity of comorbid psychiatric symptoms in an epilepsy clinic using a colocation model: results of a pilot intervention.

RATIONALE: Patients with epilepsy (PWEs) and patients with nonepileptic seizures (PWNESs) constitute particularly vulnerable patient populations and have high rates of psychiatric comorbidities. This potentially decreases quality of life and increases health-care utilization and expenditures. However, lack of access to care or concern of stigma may preclude referral to outpatient psychiatric clinics. Furthermore, the optimal treatment for NESs includes longitudinal psychiatric management. No published literature has assessed the impact of colocated psychiatric services within outpatient epilepsy clinics. We, therefore, evaluated the colocation of psychiatric services within a level 4 epilepsy center. METHODS: From July 2013 to June 2014, we piloted an intervention to colocate a psychiatrist in the Dartmouth-Hitchcock Epilepsy Center outpatient clinic one afternoon a week (0.1 FTE) to provide medication management and time-limited structural psychotherapeutic interventions to all patients who scored greater than 15 on the Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) and who agreed to referral. Psychiatric symptom severity was assessed at baseline and follow-up visits using validated scales including NDDI-E, Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder-7 (GAD-7), and cognitive subscale items from Quality of Life in Epilepsy-31 (QOLIE-31) scores. RESULTS: Forty-three patients (18 males; 25 females) were referred to the clinic over a one-year interval; 27 (64.3%) were seen in follow-up with a median of 3 follow-up visits (range: 1 to 7). Thirty-seven percent of the patients had NESs exclusive of epilepsy, and 11% of the patients had dual diagnosis of epilepsy and NESs. Psychiatric symptom severity decreased in 84% of the patients, with PHQ-9 and GAD-7 scores improving significantly from baseline (4.6±0.4 SD improvement in PHQ-9 and 4.0±0.4 SD improvement in GAD-7, p-values<0.001). Cognitive subitem scores for NDDI-E and QOLIE-31 at their most recent visit were significantly improved compared with nadir scores (3.3±0.6 SD improvement in NDDI-E and 1.5±0.2 SD improvement in QOLIE-31, p-values<0.001). These results are, moreover, clinically significant-defined as improvement by 4-5 points on PHQ-9 and GAD-7 instruments-and are correlated with overall improvement as measured by NDDI-E and cognitive subscale QOLIE-31 items. CONCLUSION: A colocated psychiatrist demonstrated reduction in psychiatric symptoms of PWEs and PWNESs, improving psychiatric access and streamlining their care. Epileptologists were able to dedicate more time to managing epilepsy as opposed to psychiatric comorbidities. As integrated models of collaborative and colocated care are becoming more widespread, mental health-care providers located in outpatient neurology clinics may benefit both patients and providers.

Enhancing Care Partnerships Using a Rheumatology Dashboard: Bringing Together What Matters Most to Both Patients and Clinicians.

OBJECTIVE: Dashboards can support person-centered care by helping people partner with their clinicians to coproduce care based on preferences, shared decision-making, and evidence-based treatments. We engaged caregivers of children with juvenile idiopathic arthritis (JIA), adults with rheumatoid arthritis (RA), and clinicians in a pilot study to assess their experiences and the utility and impact of an electronic previsit questionnaire and point-of-care dashboard to support coproduction of rheumatology care. METHODS: We employed a mixed-methods design to assess users' perceptions of a customized electronic health record rheumatology module at four pediatric rheumatology practices and two adult rheumatology practices. We surveyed a convenience sample of caregivers of children with JIA (n = 113), adults with RA (n = 116), and clinicians (n = 12). We conducted semistructured interviews with 13 caregivers and patients and six care teams. Experiences were evaluated using descriptive statistics and thematic analyses. RESULTS: Caregivers of children with JIA and adults with RA reported the dashboards were useful during discussions (88%) and helped them talk about what mattered most (82%), make health care decisions (83%), and create a treatment plan (77%). Clinicians provided similar feedback. Two-thirds (67%) of caregivers and adults and 55% of clinicians would recommend the dashboard to peers. System usability scores (77.1 ± 15.6) were above average. Dashboards helped users make sense of health information, communicate more effectively, and make decisions. Improvements to the dashboards and workflows could enhance patient self-management and clinician efficiency. CONCLUSION: Visual point-of-care dashboards can support caregivers, patients, and clinicians to coproduce rheumatology care. Findings demonstrate a need to spread and scale for broader benefit and impact.

Prevalence of Sarcopenia Obesity in Patients Treated at a Rural, Multidisciplinary Weight and Wellness Center.

Sarcopenic obesity portends poor outcomes, yet it is under-recognized in practice. We collected baseline clinical data including data on body composition (total and segmental muscle mass and total body fat), grip strength, and 5-times sit-to-stand. We defined sarcopenia using cut-points for appendicular lean mass (ALM) and obesity using body-fat cut-points. A total of 599 clinic patients (78.5% female; mean age was 51.3 ± 14.2 years) had bioelectrical impedance analysis (BIA) data (83.8%). Mean body mass index (BMI) and waist circumference were 43.1 ± 8.9 kg/m2 and 132.3 ± 70.7 cm, respectively. All patients had elevated body fat. There were 284 (47.4%) individuals fulfilling criteria for ALM-defined sarcopenia. Sarcopenic obese persons had a lower BMI (38.2 ± 6.4 vs 47.6 ± 8.6; P < 0.001), fat-free mass (113.0 kg ± 16.1 vs 152.1 kg ± 29.4; P < 0.001), fat mass (48.4% ± 5.9 vs 49.5% ± 6.2; P = 0.03), and visceral adipose tissue (216.8 ± 106.3 vs 242.7 ± 133.6 cm3; P = 0.009) than those without sarcopenic obesity. Grip strength was lower in those with sarcopenic obesity (25.1 ± 8.0 vs 30.5 ± 11.3 kg; P < 0.001) and sit-to-stand times were longer (12.4 ± 4.4 vs 10.8 second ± 4.6; P = 0.03). Sarcopenic obesity was highly prevalent in a rural, tertiary care weight and wellness center.

Association of Hospital Admission Risk Profile Score with Mortality in Hospitalized Older Adults.

OBJECTIVES: To evaluate the association of the Hospital Admission Risk Profile (HARP) score with mortality after discharge in a population of hospitalized older adults. DESIGN: Retrospective cohort study. PARTICIPANTS: Hospitalized patients aged 70 years or older. MEASUREMENTS: Patient age at the time of admission, modified Folstein Mini-Mental Status Exam score, and self-reported instrumental activities of daily living 2 weeks prior to admission were used to calculate a HARP score. The primary outcome assessed was overall mortality up to 365 days after hospital discharge. Cox proportional hazard analyses evaluated the association between HARP score and mortality adjusting for age, sex, and comorbidities associated with increased mortality. RESULTS: Of the 474 patients, 165 (34.8%) had a low HARP score, 177 (37.4%) had an intermediate, and 132 (27.8%) had a high score. HARP score was not associated with differences in 30-day readmission rates. High HARP score patients had higher mortality when compared to patients with low HARP scores at all time frames (30 days: 12.9% vs 1.8%, p < .05; 90 days: 19.7% vs 4.8%, p < .05; 365 days: 34.8% vs 16.9%, p < .05). In fully adjusted Cox proportional models, patients with high HARP scores had a 3.5 times higher odds of mortality when compared to low HARP score patients. CONCLUSION: The HARP score is a simple and easy to use instrument that identifies patients at increased risk for mortality after hospital discharge. Early identification of patients at increased risk for mortality has the potential to help guide treatment decisions following hospital discharge and provides additional information to providers and patients for shared decision making and may help in clarifying and achieving patient and family goals of care.

Telerheumatology: A technology appropriate for virtually all.

BACKGROUND/PURPOSE: Telerheumatology services were developed at Dartmouth-Hitchcock Medical Center (DHMC) to bring specialty care to New Hampshire (NH) and Vermont (VT) where a large proportion of the population lives in rural areas (60%) with limited resources and access to care. We sought to learn what challenges and accomplishments our early telemedicine program has encountered since inception. METHODS: As part of a quality improvement initiative we performed an IRB-exempt retrospective review of patients seen in the telerheumatology clinic at DHMC from October 2011 to December 2014. We also interviewed the participants; including providers, presenters, and patients regarding their experience of care. We assessed both patient and provider satisfaction with the experience. RESULTS: Between October 2011 and December 2014, 176 patients were seen via telerheumatology between two clinical sites over the course of 244 telerheumatology patient visits. The top diagnosis for patients during the telerheumatology visits was inflammatory arthritis (n = 156, 63.9%). We found 19% of patients to be inappropriate for the visit type for the following two main reasons: the underlying diagnosis was unclear or the disease was too complex. CONCLUSION: The use of telerheumatology has successfully increased access to specialty care in rural regions of NH and VT with good patient and provider satisfaction. While telerheumatology improved the access to specialty care, consideration should be given to selecting the appropriate patient for this visit type given that 19% of patients were deemed inappropriate. We propose a triage mechanism to ensure that patients are appropriately paired to the proper visit type in the future.

Association Between Hospital Admission Risk Profile Score and Skilled Nursing or Acute Rehabilitation Facility Discharges in Hospitalized Older Adults.

OBJECTIVES: To evaluate whether the Hospital Admission Risk Profile (HARP) score is associated with skilled nursing or acute rehabilitation facility discharge after an acute hospitalization. DESIGN: Retrospective cohort study. SETTING: Inpatient unit of a rural academic medical center. PARTICIPANTS: Hospitalized individuals aged 70 and older from October 1, 2013 to June 1, 2014. MEASUREMENTS: Participant age at the time of admission, modified Folstein Mini-Mental State Examination score, and self-reported instrumental activities of daily living 2 weeks before admission were used to calculate HARP score. The primary predictor was HARP score, and the primary outcome was discharge disposition (home, facility, deceased). Multivariate analysis was used to evaluate the association between HARP score and discharge disposition, adjusting for age, sex, comorbidities, and length of stay. RESULTS: Four hundred twenty-eight individuals admitted from home were screened and their HARP scores were categorized as low (n = 162, 37.8%), intermediate (n = 157, 36.7%), or high (n = 109, 25.5%). Participants with high HARP scores were significantly more likely to be discharged to a facility (55%) than those with low HARP scores (20%) (P < .001). After adjustment, participants with high HARP scores were more than four times as likely as those with low scores to be discharged to a facility (odds ratio = 4.58, 95% confidence interval = 2.42-8.66). CONCLUSION: In a population of older hospitalized adults, HARP score (using readily available admission information) identifies individuals at greater risk of skilled nursing or acute rehabilitation facility discharge. Early identification for potential facility discharges may allow for targeted interventions to prevent functional decline, improve informed shared decision-making about post-acute care needs, and expedite discharge planning.

Improving the Measurement of Disease Activity for Patients with Rheumatoid Arthritis: Validation of an Electronic Version of the Routine Assessment of Patient Index Data 3.

Introduction. An electronic Routine Assessment of Patient Index Data 3 (RAPID 3) was incorporated into our electronic health records (EHRs) which did not replicate the visual presentation of the paper version. This study validated the electronic RAPID 3 compared to the paper version. Methods. Rheumatoid arthritis (RA) patients (n = 50) completed both the electronic RAPID 3 online in the week prior to and a paper version on the day of their clinic visit. Results. Paired t-test showed no significant difference (p value = 0.46) between versions. Conclusion. The electronic version of RAPID 3 is valid and can be easily integrated in care of RA patients.

Quality of osteoporosis care of older Medicare recipients with fragility fractures: 2006 to 2010.

OBJECTIVES: To assess uptake of postfracture care guidelines in community-dwelling Medicare recipients with fractures. DESIGN: Retrospective observational cohort study. SETTING: Claims-based study using U.S. Medicare administrative inpatient, outpatient (2003-2010), and prescription (2006-2010) data. PARTICIPANTS: Individuals aged 68 and older who survived at least 12 months after a fracture of the hip, radius, or humerus. MEASUREMENTS: Poisson regression modeled factors, including participant characteristics, comorbidities and hospital referral region (HRR), associated with bone density testing or osteoporosis pharmacotherapy in the 6 months after fracture. Models were repeated for participants with no osteoporosis care observed before fracture (attention naïve). RESULTS: In 61,832 individuals with fractures, mean age was 80.6, 87.0% were female, 88.5% were white, 2.6% were black, and 62.1% were attention naïve at the time of fracture; 21.8% received testing, pharmacotherapy, or both in the 6 months after fracture. In adjusted models, factors associated with significantly lower likelihood of receiving this care were black race, male sex, and an upper extremity fracture (vs hip). In models restricted to attention-naïve participants, the same factors were associated with lower relative risk of receiving care. Adjusted HRR-level care rates ranged from 14.7% to 22.9% (10th to 90th percentile). The proportion receiving care increased from 2006 to 2009. CONCLUSION: Postfracture osteoporosis care was uncommon, particularly in black and male participants. Care increased over time, but for most, a fracture was insufficient to trigger effective secondary prevention, especially for participants who were not receiving prefracture osteoporosis attention. Clinicians and policy-makers must consider effective remedies to this persistent care gap.

Initiation of allopurinol at first medical contact for acute attacks of gout: a randomized clinical trial.

OBJECTIVE: Streamlining the initiation of allopurinol could result in a cost benefit for a common medical problem and obviate the perception that no treatment is required once acute attacks have resolved. Our objective was to test the hypothesis that there is no difference in patient daily pain or subsequent attacks with early versus delayed initiation of allopurinol for an acute gout attack. METHODS: A total of 57 men with crystal-proven gout were randomized to allopurinol 300 mg daily or matching placebo for 10 days. All subjects received indomethacin 50 mg 3 times per day for 10 days, a prophylactic dose of colchicine 0.6 mg 2 times per day for 90 days, and open-label allopurinol starting at day 11. Primary outcome measures were pain on visual analogue scale (VAS) for the primary joint on days 1 to 10 and self-reported flares in any joint through day 30. RESULTS: On the basis of 51 evaluable subjects (allopurinol in 26, placebo in 25), mean daily VAS pain scores did not differ significantly between study groups at any point between days 1 and 10. Initial VAS pain scores for allopurinol and placebo arms were 6.72 versus 6.28 (P=.37), declining to 0.18 versus 0.27 (P=.54) at day 10, with neither group consistently having more daily pain. Subsequent flares occurred in 2 subjects taking allopurinol and 3 subjects taking placebo (P=.60). Although urate levels decreased rapidly in the allopurinol group (from 7.8 mg/dL at baseline to 5.9 mg/dL at day 3), sedimentation rates and C-reactive protein levels did not differ between groups at any point. CONCLUSIONS: Allopurinol initiation during an acute gout attack caused no significant difference in daily pain, recurrent flares, or inflammatory markers.