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Diabetic management in older adults with dementia-are we overtreating? [Meeting Abstract]
Kennedy, H; Ferris, R; Arcila-Mesa, M; Rapozo, C; Chodosh, J; Blaum, C S
Background: Up to one third of older adults with diabetes (DM) have co-occurring cognitive impairment and/or Alzheimer's disease and Related Dementias (ADRD). These patients are more likely to experience episodes of hypo and hyperglycemia. The American Geriatric Society (AGS) and American Diabetic Association (ADA) recommend liberalizing hemoglobin (Hb) A1c targets for patients with multiple comorbidities, but the impact of ADRD on glycemic management of patients with DM-ADRD is unknown.
Method(s): Within the primary care and endocrine clinics in the NYU Langone Health System, we collected characteristics of DM-ADRD patients participating in a DM-ADRD clinical quality improvement program. We administratively collected patients' most recent (within18 months) HbA1c from the Electronic Medical Record. We also surveyed the English and Spanish-speaking caregivers (CG) of these DM-ADRD patients. The CG survey included a measure of CG-reported patient dementia severity using the Dementia Severity Rating Scale (DSRS). We examined the relationship between the DSRS score and HbA1c.
Result(s): Patients (n=173) had a mean age of 79.7 (+/-7.18) and a mean HbA1c of 7.08%. 63% (n=106) were female, 63% (n=106) white; 37% (n=64) identified as being Latino/Hispanic. The mean DSRS score was 25 (+/-12.7) (range: 0-54), within the range of moderate cognitive impairment (18-36). Those older than 75 and those who were Spanish speaking had higher DSRS scores (26.1, p=.02; and 26.7, p=.04, respectively). Mean HbA1c of patients in the severe DSRS range (scores 37-54) was 6.81 (N=35) and was lower than in patients with moderate and mild dementia severity (mean 7.15 and 7.24, respectively); however, this difference was not statistically significant.
Conclusion(s): While the data does not confirm a statistically significant relationship between dementia severity and lower A1c, this finding is worrisome for DM-ADRD patients. Our data suggests possible overtreatment and if confirmed, there is a clear need for increased family and provider education and quality improvement programs for this vulnerable population
EMBASE:633776311
ISSN: 1532-5415
CID: 4754602
Post-discharge health status and symptoms in patients with severe COVID-19
Weerahandi, Himali; Hochman, Katherine A; Simon, Emma; Blaum, Caroline; Chodosh, Joshua; Duan, Emily; Garry, Kira; Kahan, Tamara; Karmen-Tuohy, Savannah; Karpel, Hannah; Mendoza, Felicia; Prete, Alexander M; Quintana, Lindsey; Rutishauser, Jennifer; Santos Martinez, Leticia; Shah, Kanan; Sharma, Sneha; Simon, Elias; Stirniman, Ana; Horwitz, Leora
BACKGROUND:Little is known about long-term recovery from severe COVID-19 disease. Here, we characterize overall health, physical health and mental health of patients one month after discharge for severe COVID-19. METHODS:This was a prospective single health system observational cohort study of patients ≥18 years hospitalized with laboratory-confirmed COVID-19 disease who required at least 6 liters of oxygen during admission, had intact baseline cognitive and functional status and were discharged alive. Participants were enrolled between 30 and 40 days after discharge. Outcomes were elicited through validated survey instruments: the PROMIS Dyspnea Characteristics and PROMIS Global Health-10. RESULTS:A total of 161 patients (40.6% of eligible) were enrolled; 152 (38.3%) completed the survey. Median age was 62 years (interquartile range [IQR], 50-67); 57 (37%) were female. Overall, 113/152 (74%) participants reported shortness of breath within the prior week (median score 3 out of 10 [IQR 0-5]), vs. 47/152 (31%) pre-COVID-19 infection (0, IQR 0-1), p<0.001. Participants also rated their physical health and mental health as worse in their post-COVID state (43.8, standard deviation 9.3; mental health 47.3, SD 9.3) compared to their pre-COVID state, (54.3, SD 9.3; 54.3, SD 7.8, respectively), both p <0.001. A total of 52/148 (35.1%) patients without pre-COVID oxygen requirements needed home oxygen after hospital discharge; 20/148 (13.5%) reported still using oxygen at time of survey. CONCLUSIONS:Patients with severe COVID-19 disease typically experience sequelae affecting their respiratory status, physical health and mental health for at least several weeks after hospital discharge.
PMCID:7430618
PMID: 32817973
ISSN: n/a
CID: 4567202
BLEEDING READMISSIONS AFTER ACUTE MYOCARDIAL INFARCTION IN OLDER ADULTS: THE SILVER-AMI STUDY [Meeting Abstract]
Dodson, J A; Hajduk, A; Curtis, J P; Murphy, T; Krumholz, H M; Alexander, K; Clardy, D; Tsang, S; Geda, M; Blaum, C; Chaudhry, S I
Background We developed a risk model to predict hospitalization for bleeding within 6 months of discharge in older adults hospitalized for acute MI (AMI) and discharged on dual antiplatelet therapy (DAPT). Methods SILVER-AMI is a cohort study of 3041 patients age >=75 hospitalized with AMI at 96 U.S. hospitals. Participants underwent in-hospital functional assessment (cognition, vision, hearing, unintentional weight loss, ADLs, grip strength, functional mobility, falls). These analyses focused on participants discharged on DAPT (N=1858). Our outcome was rehospitalization for bleeding within 6 months. We used Bayesian model averaging to develop a risk model with split sample validation. Results Mean age was 81.5 years. Compared with participants not prescribed DAPT, those prescribed DAPT had slightly better functional mobility and lower cognitive impairment. Overall, 150 (8.1%) participants on DAPT experienced hospitalization for bleeding within 6 months; nearly half (48.7%) were gastrointestinal. Rates of functional impairments were similar among participants who did and did not experience bleeding. The final risk model included 8 predictors (Table), had moderate discrimination (C-statistic = 0.66), and good calibration (Hosmer-Lemeshow P value > 0.05). Conclusion Hospitalization for bleeding within 6 months of discharge on DAPT among older AMI patients was not predicted by aging-related functional impairments, but 8 other clinically plausible predictors were identified. [Figure presented]
Copyright
EMBASE:2005042710
ISSN: 0735-1097
CID: 4367312
CARDIOVASCULAR DISEASE AND CUMULATIVE INCIDENCE OF COGNITIVE IMPAIRMENT: LONGITUDINAL FINDINGS FROM THE HEALTH AND RETIREMENT STUDY [Meeting Abstract]
Covello, A; Horwitz, L; Singhal, S; Blaum, C; Dodson, J A
Background We sought to examine whether people with a diagnosis of cardiovascular disease (CVD) experienced a greater incidence of subsequent cognitive impairment (CI) compared to people without CVD, as suggested by prior studies, using a large longitudinal cohort. Methods We used biennial data collected on adults age >=50 from the Health and Retirement Study (HRS) to compare the incidence of CI over 8 years in 1,931 participants newly diagnosed with CVD vs. 3,862 age- and gender-matched controls. Diagnosis of CVD was adjudicated with an established HRS methodology. CI was defined as <=11 on the 27-point Telephone Interview for Cognitive Status, based on a previously accepted clinical cutpoint. To examine the incidence of CI, we used a cumulative incidence function accounting for competing risk of death. Results Mean age at study entry was 70 years, and 55% were female. CI developed in 1,335 participants over 8 years. Death was more common among participants with incident CVD (20.4% vs. 13.4%, p <.001). Cumulative incidence analysis for CI, after adjusting for death, showed no significant difference in incidence of cognitive impairment between the CVD and control groups at the end of the study period (Figure). Conclusion We found no increased risk of subsequent cognitive impairment among participants with CVD (compared with no CVD), despite previous research indicating that CVD accelerates cognitive decline. This finding may be due to appropriately accounting for the competing risk of death. [Figure presented]
Copyright
EMBASE:2005039508
ISSN: 0735-1097
CID: 4367682
A Descriptive Analysis of an Ambulatory Kidney Palliative Care Program
Scherer, Jennifer S; Harwood, Katherine; Frydman, Julia L; Moriyama, Derek; Brody, Abraham A; Modersitzki, Frank; Blaum, Caroline S; Chodosh, Joshua
PMID: 31295050
ISSN: 1557-7740
CID: 3976762
USER-CENTERED DEVELOPMENT OF A BEHAVIORAL ECONOMICS INSPIRED ELECTRONIC HEALTH RECORD CLINICAL DECISION SUPPORT MODULE [Meeting Abstract]
Chokshi, Sara; Troxel, Andrea B.; Belli, Hayley; Schwartz, Jessica; Blecker, Saul; Blaum, Caroline; Szerencsy, Adam; Testa, Paul; Mann, Devin
ISI:000473349400531
ISSN: 0883-6612
CID: 4181082
Association of Patient Priorities-Aligned Decision-Making With Patient Outcomes and Ambulatory Health Care Burden Among Older Adults With Multiple Chronic Conditions: A Nonrandomized Clinical Trial
Tinetti, Mary E; Naik, Aanand D; Dindo, Lilian; Costello, Darce M; Esterson, Jessica; Geda, Mary; Rosen, Jonathan; Hernandez-Bigos, Kizzy; Smith, Cynthia Daisy; Ouellet, Gregory M; Kang, Gina; Lee, Yungah; Blaum, Caroline
Importance/UNASSIGNED:Health care may be burdensome and of uncertain benefit for older adults with multiple chronic conditions (MCCs). Aligning health care with an individual's health priorities may improve outcomes and reduce burden. Objective/UNASSIGNED:To evaluate whether patient priorities care (PPC) is associated with a perception of more goal-directed and less burdensome care compared with usual care (UC). Design, Setting, and Participants/UNASSIGNED:Nonrandomized clinical trial with propensity adjustment conducted at 1 PPC and 1 UC site of a Connecticut multisite primary care practice that provides care to almost 15% of the state's residents. Participants included 163 adults aged 65 years or older who had 3 or more chronic conditions cared for by 10 primary care practitioners (PCPs) trained in PPC and 203 similar patients who received UC from 7 PCPs not trained in PPC. Participant enrollment occurred between February 1, 2017, and March 31, 2018; follow-up extended for up to 9 months (ended September 30, 2018). Interventions/UNASSIGNED:Patient priorities care, an approach to decision-making that includes patients' identifying their health priorities (ie, specific health outcome goals and health care preferences) and clinicians aligning their decision-making to achieve these health priorities. Main Outcomes and Measures/UNASSIGNED:Primary outcomes included change in patients' Older Patient Assessment of Chronic Illness Care (O-PACIC), CollaboRATE, and Treatment Burden Questionnaire (TBQ) scores; electronic health record documentation of decision-making based on patients' health priorities; medications and self-management tasks added or stopped; and diagnostic tests, referrals, and procedures ordered or avoided. Results/UNASSIGNED:Of the 366 patients, 235 (64.2%) were female and 350 (95.6%) were white. Compared with the UC group, the PPC group was older (mean [SD] age, 74.7 [6.6] vs 77.6 [7.6] years) and had lower physical and mental health scores. At follow-up, PPC participants reported a 5-point greater decrease in TBQ score than those who received UC (ß [SE], -5.0 [2.04]; P = .01) using a weighted regression model with inverse probability of PCP assignment weights; no differences were seen in O-PACIC or CollaboRATE scores. Health priorities-based decisions were mentioned in clinical visit notes for 108 of 163 (66.3%) PPC vs 0 of 203 (0%) UC participants. Compared with UC patients, PPC patients were more likely to have medications stopped (weighted comparison, 52.0% vs 33.8%; adjusted odds ratio [AOR], 2.05; 95% CI, 1.43-2.95) and less likely to have self-management tasks (57.5% vs 62.1%; AOR, 0.59; 95% CI, 0.41-0.84) and diagnostic tests (80.8% vs 86.4%; AOR, 0.22; 95% CI, 0.12-0.40) ordered. Conclusions and Relevance/UNASSIGNED:This study's findings suggest that patient priorities care may be associated with reduced treatment burden and unwanted health care. Care aligned with patients' priorities may be feasible and effective for older adults with MCCs. Trial Registration/UNASSIGNED:ClinicalTrials.gov identifier: NCT03600389.
PMID: 31589281
ISSN: 2168-6114
CID: 4130502
Addressing overtreatment in older adults with diabetes: Leveraging behavioral economics and user-centered design to develop clinical decision support [Meeting Abstract]
Mann, D M; Chokshi, S K; Belli, H; Blecker, S; Blaum, C; Hegde, R; Troxel, A B
Background: Older adults with diabetes continue to be overtreated despite current guidelines recommending less aggressive target A1c levels based on life expectancy. The suboptimal management of this vulnerable population could be due to physicians having conflicting beliefs regarding this guideline or simply lacking awareness, and changing these behaviors is challenging. Clinical decision support (CDS) within the electronic health record (EHR) has the potential to address this issue, but effectiveness is undermined by alert fatigue and poor workflow integration. Incorporating behavioral economics into CDS tools is an innovative approach to improve adherence to these guidelines while reducing physician burden, and offers the promise of improving care in this population.
Method(s): We applied a systematic, user-centered approach to incorporate behavioral economic " nudges" into a CDS module and performed user testing in six pilot primary care practices in a large academic medical center. To build the nudges, we conducted: (1) semi-structured interviews with key informants (n=8); (2) a two-hour design thinking workshop to derive and refine initial module ideas; and (3) semi-structured group interviews at each site with clinic leaders and clinicians to elicit feedback on the module components. Clinicians were observed using the module in practice; detailed field notes were collected and summarized by module idea and usability theme for rapid iteration and refinement. Frequency of firing and user action taken were assessed in the first month of implementation via EHR reporting to confirm that module components and reporting were working as expected, and to assess utilization.
Result(s): Insights from key stakeholder and clinician group interviews identified the refill protocol, inbasket lab result, and medication preference list as candidate EHR CDS targets for the module. A new EHR navigator section notification and peer comparison message, derived from the design workshop, were also prototyped and produced. User feedback from site visits confirmed compatibility with clinical workflows, and contributed to refinement of design and content. The initial prototypes were first piloted at two sites, refined, and then activated at an additional four additional sites. Preliminary Results for the six clinics indicate that over approximately 31 weeks: 1) the navigator alert fired 1047 times for 53 unique clinicians, and 2) the refill protocol alert fired 421 times for 53 unique clinicians. Reports for the other " nudges" are in development.
Conclusion(s): Integrating behavioral economic nudges into the EHR is a promising approach to enhancing guideline awareness and adherence for older adults with diabetes. This novel pilot will demonstrate the initial feasibility and preliminary efficacy of this strategy and determine if a full-scale effectiveness trial is warranted
EMBASE:629001208
ISSN: 1525-1497
CID: 4053282
User-Centered Development of a Behavioral Economics Inspired Electronic Health Record Clinical Decision Support Module
Chokshi, Sara Kuppin; Troxel, Andrea; Belli, Hayley; Schwartz, Jessica; Blecker, Saul; Blaum, Caroline; Szerencsy, Adam; Testa, Paul; Mann, Devin
Changing physician behaviors is difficult. Electronic health record (EHR) clinical decision support (CDS) offers an opportunity to promote guideline adherence. Behavioral economics (BE) has shown success as an approach to supporting evidence-based decision-making with little additional cognitive burden. We applied a user-centered approach to incorporate BE "nudges" into a CDS module in two "vanguard" sites utilizing: (1) semi-structured interviews with key informants (n = 8); (2) a design thinking workshop; and (3) semi-structured group interviews with clinicians. In the 133 day development phase at two clinics, the navigator section fired 299 times for 27 unique clinicians. The inbasket refill alert fired 124 times for 22 clinicians. Fifteen prescriptions for metformin were written by 11 clinicians. Our user-centered approach yielded a BE-driven CDS module with relatively high utilization by clinicians. Next steps include the addition of two modules and continued tracking of utilization, and assessment of clinical impact of the module.
PMID: 31438106
ISSN: 1879-8365
CID: 4046992
Challenges and strategies in patients' health priorities-aligned decision-making for older adults with multiple chronic conditions
Tinetti, Mary; Dindo, Lilian; Smith, Cynthia Daisy; Blaum, Caroline; Costello, Darce; Ouellet, Gregory; Rosen, Jonathan; Hernandez-Bigos, Kizzy; Geda, Mary; Naik, Aanand
OBJECTIVES/OBJECTIVE:While patients' health priorities should inform healthcare, strategies for doing so are lacking for patients with multiple conditions. We describe challenges to, and strategies that support, patients' priorities-aligned decision-making. DESIGN/METHODS:Participant observation qualitative study. SETTING/METHODS:Primary care and cardiology practices in Connecticut. PARTICIPANTS/METHODS:Ten primary care clinicians, five cardiologists, and the Patient Priorities implementation team (four geriatricians, physician expert in clinician training, behavioral medicine expert). The patients discussed were ≥ 66 years with >3 chronic conditions and ≥10 medications or saw ≥ two specialists. EXPOSURE/METHODS:Following initial training and experience in providing Patient Priorities Care, the clinicians and Patient Priorities implementation team participated in 21 case-based, group discussions (10 face-to-face;11 telephonic). Using emergent learning (i.e. learning which arises from interactions among the participants), participants discussed challenges, posed solutions, and worked together to determine how to align care options with the health priorities of 35 patients participating in the Patient Priorities Care pilot. MAIN OUTCOMES/RESULTS:Challenges to, and strategies for, aligning decision-making with patient's health priorities. RESULTS:Categories of challenges discussed among participants included uncertainty, complexity, and multiplicity of problems and treatments; difficulty switching to patients' priorities as the focus of decision-making; and differing perspectives between patients and clinicians, and among clinicians. Strategies identified to support patient priorities-aligned decision-making included starting with one thing that matters most to each patient; conducting serial trials of starting, stopping, or continuing interventions; focusing on function (i.e. achieving patient's desired activities) rather than eliminating symptoms; basing communications, decision-making, and effectiveness on patients' priorities not solely on diseases; and negotiating shared decisions when there are differences in perspectives. CONCLUSIONS:The discrete set of challenges encountered and the implementable strategies identified suggest that patient priorities-aligned decision-making in the care of patients with multiple chronic conditions is feasible, albeit complicated. Findings require replication in additional settings and determination of their effect on patient outcomes.
PMID: 31181117
ISSN: 1932-6203
CID: 3929842