Healthcare and Policy: Center Stage for Geriatric Research

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/153006/1/jgs16250.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/153006/2/jgs16250_am.pd

The Veterans Affairs Neuropathy Scale: A Reliable, Remote Polyneuropathy Exam.

Introduction: Polyneuropathy (PN) complaints are common, prompting many referrals for neurologic evaluation. To improve access of PN care in distant community clinics, we developed a telemedicine service (patient-clinician interactions using real-time videoconference technology) for PN. The primary goal of this study was to construct a remote exam for PN that is feasible, reliable, and concordant with in-person assessments for use in our tele-PN clinics. Methods: To construct the VA Neuropathy Scale (VANS), we searched the literature for existing, validated PN assessments. From these assessments, we selected a parsimonious set of exam elements based on literature-reported sensitivity and specificity of PN detection, with modifications as necessary for our teleneurology setting (i.e., a technician examination under the direction of a neurologist). We recruited 28 participants with varying degrees of PN to undergo VANS testing under 5 scenarios. The 5 scenarios differed by mode of VANS grading (in-person vs. telemedicine) and by the in-person examiner type (neurologist vs. technician) in telemedicine scenarios. We analyzed concordance between the VANS and a person's medical chart-derived PN status by modeling the receiver operating characteristic (ROC) curve. We analyzed reliability of the VANS by mixed effects regression and computing the intraclass correlation coefficient (ICC) of scores across the 5 scenarios. Results: The VA Neuropathy Scale (VANS) tests balance, gait, reflexes, foot inspection, vibration, and pinprick. Possible scores range from 0 to 50 (worst). From the ROC curve, a cutoff of >2 points on the VANS sets the sensitivity and specificity of detecting PN at 98 and 91%, respectively. There is a small (1.3 points) but statistically significant difference in VANS scoring between in-person and telemedicine grading scenarios. For telemedicine grading scenarios, there is no difference in VANS scores between neurologist and technician examinations. The ICC is 0.89 across all scenarios. Discussion: The VANS, informed by existing PN instruments, is a promising clinical assessment tool for diagnosing and monitoring the severity of PN in telemedicine settings. This pilot study indicates acceptable concordance and reliability of the VANS with in-person examinations

Nursing Home Regulations Redefined: Implications for Providers

The Centers for Medicare and Medicaid Services (CMS) finalized a comprehensive update to nursing home requirements of participation in October 2016. Nearly 10,000 public comments were received regarding the proposed rule, and CMS made multiple modifications based on comments from providers, advocacy organizations, and others before issuing the final rule. The final rule describing nursing home requirements of participation modernizes nursing home regulation. It is being implemented in three phases—beginning in November 2016, November 2017, and November 2019. There are multiple provisions that have implications for clinicians caring for nursing home residents, particularly in terms of management of infections, medication prescribing and monitoring, and delegation of medical orders

How Much is Post-Acute Care Use Affected by Its Availability?

To assess the relative impact of clinical factors versus non-clinical factors such as post acute care (PAC) supply - in determining whether patients receive care from skilled nursing facilities (SNFs) or inpatient rehabilitation facilities (IRFs) after discharge from acute care. Medicare acute hospital, IRF and SNF claims provided data on PAC choices; predictors of site of PAC chosen were generated from Medicare claims, provider of services, enrollment file, and Area Resource File data. We used multinomial logit models to predict post-acute care use by elderly patients after hospitalizations for stroke, hip fractures, or lower extremity joint replacements. A file was constructed linking Medicare acute and post-acute utilization data for all sample patients hospitalized in 1999. PAC availability is a more powerful predictor of PAC use than the clinical characteristics in many of our models. The effects of distance to providers and supply of providers are particularly clear in the choice between IRF and SNF care. The farther away the nearest IRF is, and the closer the nearest SNF is, the less likely a patient is to go to an IRF. Similarly, the fewer IRFs, and the more SNFs, there are in the patient's area the less likely the patient is to go to an IRF. In addition, if the hospital from which the patient is discharged has a related IRF or a related SNF the patient is more likely to go there. We find that the availability of PAC is a major determinant of whether patients use such care and which type of PAC facility they use. Further research is needed in order to evaluate whether these findings indicate that a greater supply of PAC leads to both higher use of institutional care and better outcomes or whether it leads to unwarranted expenditures of resources and delays in returning patients to their homes.

Hospital fall prevention: a systematic review of implementation, components, adherence, and effectiveness.

ObjectivesTo systematically document the implementation, components, comparators, adherence, and effectiveness of published fall prevention approaches in U.S. acute care hospitals.DesignSystematic review. Studies were identified through existing reviews, searching five electronic databases, screening reference lists, and contacting topic experts for studies published through August 2011.SettingU.S. acute care hospitals.ParticipantsStudies reporting in-hospital falls for intervention groups and concurrent (e.g., controlled trials) or historic comparators (e.g., before-after studies).InterventionFall prevention interventions.MeasurementsIncidence rate ratios (IRR, ratio of fall rate postintervention or treatment group to the fall rate preintervention or control group) and ratings of study details.ResultsFifty-nine studies met inclusion criteria. Implementation strategies were sparsely documented (17% not at all) and included staff education, establishing committees, seeking leadership support, and occasionally continuous quality improvement techniques. Most interventions (81%) included multiple components (e.g., risk assessments (often not validated), visual risk alerts, patient education, care rounds, bed-exit alarms, and postfall evaluations). Fifty-four percent did not report on fall prevention measures applied in the comparison group, and 39% neither reported fidelity data nor described adherence strategies such as regular audits and feedback to ensure completion of care processes. Only 45% of concurrent and 15% of historic control studies reported sufficient data to compare fall rates. The pooled postintervention incidence rate ratio (IRR) was 0.77 (95% confidence interval = 0.52-1.12, P = .17; eight studies; I(2) : 94%). Meta-regressions showed no systematic association between implementation intensity, intervention complexity, comparator information, or adherence levels and IRR.ConclusionPromising approaches exist, but better reporting of outcomes, implementation, adherence, intervention components, and comparison group information is necessary to establish evidence on how hospitals can successfully prevent falls

Selecting Outcomes to Ensure Pragmatic Trials Are Relevant to People Living with Dementia

Outcome measures for embedded pragmatic clinical trials (ePCTs) should reflect the lived experience of people living with dementia (PLWD) and their caregivers, yet patient‐ and caregiver‐reported outcomes (PCROs) are rarely available in large clinical and administrative data sources. Although pragmatic methods may lead to use of existing administrative data rather than new data collected directly from PLWD, interventions are truly impactful only when they change outcomes prioritized by PLWD and their caregivers. The Patient‐ and Caregiver‐Reported Outcomes Core (PCRO Core) of the IMbedded Pragmatic Alzheimer's Disease (AD) and AD‐Related Dementias Clinical Trials (IMPACT) Collaboratory aims to promote optimal use of outcomes relevant to PLWD and their caregivers in pragmatic trials. The PCRO Core will address key scientific challenges limiting outcome measurement, such as gaps in existing measures, methodologic constraints, and burdensome data capture. PCRO Core investigators will create a searchable library of AD/AD‐related dementias (ADRD) clinical outcome measures, including measures in existing data sources with potential for AD/ADRD ePCTs, and will support best practices in measure development, including pragmatic adaptation of PCROs. Working together with other Cores and Teams within the IMPACT Collaboratory, the PCRO Core will support investigators to select from existing outcome measures, and to innovate in methods for measurement and data capture. In the future, the work of the IMPACT Collaboratory may galvanize broader embedded use of outcomes that matter to PLWD and their care partners in large health system

The Vulnerable Elders Survey‐13 Predicts Hospital Complications and Mortality in Older Adults with Traumatic Injury: A Pilot Study

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/86959/1/j.1532-5415.2011.03493.x.pd

Rationing Limited Healthcare Resources in the COVID‐19 Era and Beyond: Ethical Considerations Regarding Older Adults

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/155955/1/jgs16539_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/155955/2/jgs16539.pd

AGS Position Statement: Resource Allocation Strategies and Age‐Related Considerations in the COVID‐19 Era and Beyond

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/155900/1/jgs16537.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/155900/2/jgs16537_am.pd