Getting to Complete and Accurate Medication Lists During the Transition to Home Health Care

Trends in the availability of community-based home visiting services for oldest-old in China, 2005-2018

OBJECTIVES

This study aims to examine trends in neighbourhood availability of community-based home visiting services (CHVS) (ie, coverage by local primary healthcare providers) over time and disparities in service availability according to individual characteristics using nationwide data of oldest-old individuals (age >80) in China.

DESIGN

Repeated, cross-sectional study.

SETTING

This study derived nationally representative data from the 2005-2018 Chinese Longitudinal Health Longevity Survey.

PARTICIPANTS

A final analytical sample of 38 032 oldest-old individuals.

PRIMARY OUTCOME MEASURES

Availability of CHVS was defined as having home visiting services in one's neighbourhood. Cochran-Armitage tests were used to test linear trends in the proportions of oldest-old with service availability. Weighted logistic regression models were used to examine variations in service availability across individual characteristics.

RESULTS

Of 38 032 oldest-old individuals, availability of CHVS decreased from 9.7% in 2005 to 7.8% in 2008/2009, followed by continual increases to 33.7% in 2017/2018. These changes were similar between rural and urban oldest-old. After accounting for individual characteristics, in 2017/2018, compared with their counterparts, urban residents who had white-collar jobs before retirement and those residing in Western and Northeast China were less likely to have service availability. Oldest-old with disabilities, those living alone and those with low incomes did not report having greater availability of CHVS in either 2005 or 2017/2018.

CONCLUSIONS

Despite the increasing service availability over the past 13 years, persistent geographical disparities in the availability of CHVS remain. As of 2017/2018, only one in three oldest-old in China reported having service availability, which raises concerns regarding continuity of care across different settings of services for those most in need, especially those living alone or with disabilities. National policies and targeting efforts are necessary to improve the availability of CHVS and reduce inequity in service availability for optimal long-term care to the oldest-old population in China.

Medications Associated With Geriatric Syndromes (MAGS) and Hospitalization Risk in Home Health Care Patients

OBJECTIVES

Polypharmacy is common in home health care (HHC). This study examined the prevalence of medications associated with geriatric syndromes (MAGS), its predictors, and association with subsequent hospitalization in HHC.

DESIGN

Analysis of HHC electronic medical records, the Outcome and Assessment Information Set (OASIS), and Medicare HHC claims.

SETTING AND PARTICIPANTS

A total of 6882 adults ≥65 years old receiving HHC in 2019 from a large, not-for-profit home health agency serving multiple counties in New York State.

MEASURES

MAGS use was identified from active medications reconciled during HHC visits (HHC electronic medical records). MAGS use was operationalized as count and in quartiles. Hospitalization during the HHC episode was operationalized as a time-to-event variable (ie, number of days from HHC admission to hospitalization). We used regression analyses to identify predictors of MAGS use, and survival analyses to examine the association between MAGS and hospitalization.

RESULTS

Nearly all (98%) of the HHC patients used at least 1 MAGS and 41% of all active medications used by the sample were MAGS. More MAGS use was found in HHC patients who were community-referred, taking more medications, and having more diagnoses, depressive symptoms, and functional limitations. Adjusted for covariates, higher MAGS quartiles were not independently associated with the risk of hospitalization, but higher MAGS quartiles combined with multimorbidity (ie, having ≥10 diagnoses) were associated with a 2.3-fold increase in hospitalization risk (hazard ratio 2.24; 95% confidence interval: 1.61-3.13; P < .001), relative to the lowest quartile of MAGS use and having <10 diagnoses.

CONCLUSIONS AND IMPLICATIONS

More than 40% of medications taken by HHC patients are MAGS. Multimorbidity and MAGS use collectively increased the risk of hospitalization by up to 2.3 times. HHC clinicians should carefully review patients' medications and use information about MAGS to facilitate discussion about deprescribing with patients and their prescribers.

Polypharmacy in the Homebound Population

The number of homebound elders has risen dramatically in the past decade and was accelerated by the Sars-Cov-2 COVID-19 pandemic. These individuals generally have 5 or more chronic conditions, take 6 or more medications, and are at elevated risk for functional decline. Polypharmacy constitutes a major burden for these individuals, putting them at risk for medication nonadherence, medication errors, medication interactions, and reduced quality of life. A team-based approach may help these elders manage medications more effectively.

Addressing the Gap in Data Communication from Home Health Care to Primary Care during Care Transitions: Completeness of an Interoperability Data Standard

In a future where home health care is no longer an information silo, patient information will be communicated along transitions in care to improve care. Evidence-based practice in the United States supports home health care patients to see their primary care team within the first two weeks of hospital discharge to reduce rehospitalization risk. We sought to identify a parsimonious set of home health care data to be communicated to primary care for the post-hospitalization visit. Anticipating electronic dataset communication, we investigated the completeness of the international reference terminology, Logical Observation Identifiers Names and Codes (LOINC), for coverage of the data to be communicated. We conducted deductive qualitative analysis in three steps: (1) identify home health care data available for the visit by mapping home health care to the information needed for the visit; (2) reduce the resulting home health care data set to a parsimonious set clinicians wanted for the post-hospitalization visit by eliciting primary care clinician input; and (3) map the parsimonious dataset to LOINC and assess LOINC completeness. Our study reduced the number of standardized home health care assessment questions by 40% to a parsimonious set of 33 concepts that primary care team physicians wanted for the post-hospitalization visit. Findings indicate all home health care concepts in the parsimonious dataset mapped to the information needed for the post-hospitalization visit, and 84% of the home health care concepts mapped to a LOINC term. The results indicate data flow of parsimonious home health care dataset to primary care for the post-hospitalization visit is possible using existing LOINC codes, and would require adding some codes to LOINC for communication of a complete parsimonious data set.

Medication errors' causes analysis in home care setting: A systematic review

Many studies analyze the medication errors in the hospital setting, but the literature involving the home care setting seems scarce. The aim of this study is to identify the main risk factors that affect the genesis of medication errors and the possible solutions to reduce the phenomenon in the home care setting. This systematic review was performed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. The critical analysis of the literature shows that medication errors in home care occur mainly during transitional care. The main risk factors related to transitional care are poor interprofessional communication, lack of a standardized process for medication reconciliation, the widespread use of computerized tools, and the inadequate integration of the pharmacist into the care team. The strategies to reduce the risk of errors from therapy at home are the implementation of the pharmacist in the health team to ensure accurate medication reconciliation and the use of computerized tools to improve communication between professionals and to reduce the dispersion of information.

Planning the Episode: Home Care Admission Nurse Decision-Making Regarding the Patient Visit Pattern

During home health care (HHC) admissions, nurses provide input into decisions regarding the skilled nursing visit frequency and episode duration. This important clinical decision can impact patient outcomes including hospitalization. Episode duration has recently gained greater importance due to the Centers for Medicare and Medicaid Services (CMS) decrease in reimbursable episode length from 60 to 30 days. We examined admissions nurses’ visit pattern decision-making and whether it is influenced by documentation available before and during the first home visit, agency standards, other disciplines being scheduled, and electronic health record (EHR) use. This observational mixed-methods study included admission document analysis, structured interviews, and a think-aloud protocol with 18 nurses from 3 diverse HHC agencies (6 at each) admitting 2 patients each (36 patients). Findings show that prior to entering the home, nurses had an information deficit; they either did not predict the patient’s visit frequency and episode duration or stated them based on experience with similar patients. Following patient interaction in the home, nurses were able to make this decision. Completion of documentation using the EHR did not appear to influence visit pattern decisions. Patient condition and insurance restrictions were influential on both frequency and duration. Given the information deficit at admission, and the delay in visit pattern decision making, we offer health information technology recommendations on electronic communication of structured information, and EHR documentation and decision support.