Receiving Home Health Care Research Articles

Antipsychotic use among older patients with dementia receiving home health care services: Prevalence, predictors, and outcomes.

Antipsychotic use is a safety concern among older patients in home health care (HHC), particularly for those with Alzheimer's disease and related dementias (ADRD). The objective of this study was to examine the prevalence and predictors of antipsychotic use among older adults with and without ADRD who received HHC, and the association of antipsychotic use with outcomes among patients living with ADRD. In this secondary analysis of adults ≥65 years receiving care from an HHC agency in New York in 2019 (N = 6684), we used data from the Outcome and Assessment Information Set, Medicare HHC claims, and home medication review results in the electronic HHC records during a 60-day HHC episode. ADRD was identified by diagnostic codes. Functional outcome was the change in the composite activities of daily living (ADL) score from HHC admission to HHC discharge (measured in 5833 patients), where a positive score means improvement and a negative score means decline. Data were analyzed using logistic (predictors) and linear regression (association with outcome) analyses. The point prevalence of antipsychotic use was 17.2% and 6.6% among patients with and without ADRD, respectively. Among patients living with ADRD, predictors of antipsychotic use included having greater ADL limitations (odds ratio [OR] = 1.30, p = 0.01), taking more medications (OR = 1.04, p = 0.02), having behavioral and psychological symptoms (OR = 5.26, p = 0.002), and living alone (OR = 0.52, p = 0.06). Among patients living with ADRD, antipsychotic use was associated with having less ADL improvement at HHC discharge (β = -0.70, p < 0.001). HHC patients living with ADRD were more likely to use antipsychotics and to experience worse functional outcomes when using antipsychotics. Antipsychotics should be systematically reviewed and, if contraindicated or unnecessary, deprescribed. Efforts are needed to improve HHC patients' access to nonpharmacological interventions and to provide education for caregivers regarding behavioral approaches to manage symptoms in ADRD.

Comparative effectiveness of pain control between opioids and gabapentinoids in older patients with chronic pain.

Gabapentinoid (GABA) prescribing has substantially increased while opioid prescribing has decreased since the 2016 Centers for Disease Control and Prevention Guidelines restricted opioid prescribing for chronic pain. The shift to GABA assumes equal analgesic effectiveness to opioids, but no comparative analgesic effectiveness data exist to support this assumption. We compared GABA to opioids by assessing changes in pain interfering with activities (activity-limiting pain) over time in patients with chronic pain. We used 2017 to 2019 data from a 20% national sample of Medicare beneficiaries diagnosed with chronic pain who initiated a GABA or opioid prescription for ≥30 continuous days and received home health care in the study year. The main outcome was the difference in reduction in pain score from pre- to post-prescription assessments between the 2 groups. Within a 60-day window before-and-after drug initiation, our sample comprised 3208 GABA users and 2846 opioid users. Reduction in post-prescription scores of pain-related interference with activities to less-than-daily pain was 48.1% in the GABA group and 41.7% in the opioid group; this remained significant (odds ratio = 1.29, 95% confidence interval: 1.17-1.43, P < 0.0001) after adjustment for patient demographics and comorbidities. The adjusted difference in reduced pain-related interference score between the 2 groups was -0.10 points on a 0 to 4 scale ( P = 0.01). Gabapentinoid use had greater odds of less-than-daily pain post-prescription, in a dose-dependent manner. Thus, GABA use was associated with a larger reduction in chronic pain than opioids, with a larger effect at higher GABA dosage. Future research is needed on functional outcomes in patients with chronic pain prescribed GABA or opioids.

Predicting emergency department visits and hospitalizations for patients with heart failure in home healthcare using a time series risk model.

Little is known about proactive risk assessment concerning emergency department (ED) visits and hospitalizations in patients with heart failure (HF) who receive home healthcare (HHC) services. This study developed a time series risk model for predicting ED visits and hospitalizations in patients with HF using longitudinal electronic health record data. We also explored which data sources yield the best-performing models over various time windows. We used data collected from 9362 patients from a large HHC agency. We iteratively developed risk models using both structured (eg, standard assessment tools, vital signs, visit characteristics) and unstructured data (eg, clinical notes). Seven specific sets of variables included: (1) the Outcome and Assessment Information Set, (2) vital signs, (3) visit characteristics, (4) rule-based natural language processing-derived variables, (5) term frequency-inverse document frequency variables, (6) Bio-Clinical Bidirectional Encoder Representations from Transformers variables, and (7) topic modeling. Risk models were developed for 18 time windows (1-15, 30, 45, and 60days) before an ED visit or hospitalization. Risk prediction performances were compared using recall, precision, accuracy, F1, and area under the receiver operating curve (AUC). The best-performing model was built using a combination of all 7 sets of variables and the time window of 4days before an ED visit or hospitalization (AUC = 0.89 and F1 = 0.69). This prediction model suggests that HHC clinicians can identify patients with HF at risk for visiting the ED or hospitalization within 4days before the event, allowing for earlier targeted interventions.

Home Healthcare Patients With Distinct Psychological, Cognitive, and Behavioral Symptom Profiles and At-Risk Subgroup for Hospitalization and Emergency Department Visits Using Latent Class Analysis.

One-third of home healthcare patients are hospitalized or visit emergency departments during a 60-day episode of care. Among all risk factors, psychological, cognitive, and behavioral symptoms often remain underdiagnosed or undertreated in older adults. Little is known on subgroups of older adults receiving home healthcare services with similar psychological, cognitive, and behavioral symptom profiles and an at-risk subgroup for future hospitalization and emergency department visits. Our cross-sectional study used data from a large, urban home healthcare organization (n = 87,943). Latent class analysis was conducted to identify meaningful subgroups of older adults based on their distinct psychological, cognitive, and behavioral symptom profiles. Adjusted multiple logistic regression was used to understand the association between the latent subgroup and future hospitalization and emergency department visits. Descriptive and inferential statistics were conducted to describe the individual characteristics and to test for significant differences. The three-class model consisted of Class 1: "Moderate psychological symptoms without behavioral issues," Class 2: "Severe psychological symptoms with behavioral issues," and Class 3: "Mild psychological symptoms without behavioral issues." Compared to Class 3, Class 1 patients had 1.14 higher odds and Class 2 patients had 1.26 higher odds of being hospitalized or visiting emergency departments. Significant differences were found in individual characteristics such as age, gender, race/ethnicity, and insurance. Home healthcare clinicians should consider the different latent subgroups of older adults based on their psychological, cognitive, and behavioral symptoms. In addition, they should provide timely assessment and intervention especially to those at-risk for hospitalization and emergency department visits.

Mortality rate and its determinants among people with dementia receiving home healthcare: a nationwide cohort study.

People with dementia (PwD) who receive home healthcare (HHC) may have distressing symptoms, complex care needs and high mortality rates. However, there are few studies investigating the determinants of mortality in HHC recipients. To identify end-of-life care needs and tailor individualized care goals, we aim to explore the mortality rate and its determinants among PwD receiving HHC. We conducted a retrospective cohort study using a Taiwanese national population database. People with new dementia diagnosis in 2007-2016 who received HHC were included. We calculated the accumulative mortality rate and applied Poisson regression model to estimate the risk of mortality for each variable (adjusted risk ratios, aRR) with a 95% confidence interval (CI). We included 95,831 PwD and 57,036 (59.5%) of them died during the follow-up period (30.5% died in the first-year). Among comorbidities, cirrhosis was associated with the highest mortality risks (aRR 1.65, 95% CI 1.49-1.83). Among HHC-related factors, higher visit frequency of HHC (> 2 versus ≦1 times/month, aRR 3.52, 95% CI 3.39-3.66) and higher level of resource utilization group (RUG, RUG 4 versus 1, aRR = 1.38, 95% CI 1.25-1.51) were risk factor of mortality risk. Meanwhile, HHC provided by physician and nurse was related to reduced mortality risk (aRR 0.79, 95% CI 0.77-0.81) compared to those provided by nurse only. Anticipatory care planning and timely end-of life care should be integrated in light of the high mortality rate among PwD receiving HHC. Determinants associated with increased mortality risk facilitate the identification of high risk group and tailoring the appropriate care goals. Trial registration number: ClinicalTrials.gov Identifier is NCT04250103 which has been registered on 31st January 2020.

Estimation of service length with the machine learning algorithms and neural networks for patients who receiving home health care

The main purpose of the study is to develop an estimation model using machine learning algorithms and to ensure the effective and efficient implementation of home health care service planning in hospitals with these algorithms. The necessary approvals for the study were obtained. The data set was created by obtaining patient data (except for data such as Turkish Republic identification number) from 14 hospitals providing Home Health Care Services in the city of Diyarbakır. The data set was subjected to necessary pre-processing and descriptive statistics were applied. For the estimation model, Decision Tree, Random Forest and Multi-layer Perceptron Neural Network algorithms were used. It was found that the number of days of home health care service, which the patients received, varied depending on their age and gender. It was observed that the patients were generally in the disease groups that required Physiotherapy and Rehabilitation treatments. It was determined that the length of service for patients can be predicted with a high reliability rate (Multi-Layer Model Acc: 90.4%, Decision Tree Model Acc: 86.4%, Random Forest Model Acc: 88.5%) using machine learning algorithms. In the light of the findings and data patterns obtained in the study, it is thought that effective and efficient planning will be made in terms of health management. In addition, it is believed that estimating the average length of service for patients will contribute to strategic planning of human resources for health, and to reducing medical consumables, drugs and hospital expenses.

Examining the role of race and quality of home health agencies in delayed initiation of home health services for individuals with Alzheimer's disease and related dementias (ADRD).

We examined differences in the timeliness of the initiation of home health care by race and the quality of home health agencies (HHA) among patients with Alzheimer's disease and related dementias (ADRD). Medicare claims and home health assessment data were used for the study cohort: individuals aged ≥65 years with ADRD, and discharged from the hospital. Home healthlatency was defined as patients receiving home health care after 2 days following hospital discharge. Of 251,887 patients with ADRD, 57% received home health within 2 days following hospital discharge. Black patients were significantly more likely to experience home health latency (odds ratio [OR]=1.15, 95% confidence interval [CI]=1.11-1.19) compared to White patients. Home health latency was significantly higher for Black patients in low-rating HHA (OR=1.29, 95% CI=1.22-1.37) compared to White patients in high-rating HHA. Black patients are more likely to experience a delay in home health care initiation than White patients.

Home Health Care Clinicians' Use of Judgment Language for Black and Hispanic Patients: Natural Language Processing Study.

A clinician's biased behavior toward patients can affect the quality of care. Recent literature reviews report on widespread implicit biases among clinicians. Although emerging studies in hospital settings show racial biases in the language used in clinical documentation within electronic health records, no studies have yet investigated the extent of judgment language in home health care. We aimed to examine racial differences in judgment language use and the relationship between judgment language use and the amount of time clinicians spent on home visits as a reflection of care quality in home health care. This study is a retrospective observational cohort study. Study data were extracted from a large urban home health care organization in the Northeastern United States. Study data set included patients (N=45,384) who received home health care services between January 1 and December 31, 2019. The study applied a natural language processing algorithm to automatically detect the language of judgment in clinical notes. The use of judgment language was observed in 38% (n=17,141) of the patients. The highest use of judgment language was found in Hispanic (7,167/66,282, 10.8% of all clinical notes), followed by Black (7,010/65,628, 10.7%), White (10,206/107,626, 9.5%), and Asian (1,756/22,548, 7.8%) patients. Black and Hispanic patients were 14% more likely to have notes with judgment language than White patients. The length of a home health care visit was reduced by 21 minutes when judgment language was used. Racial differences were identified in judgment language use. When judgment language is used, clinicians spend less time at patients' homes. Because the language clinicians use in documentation is associated with the time spent providing care, further research is needed to study the impact of using judgment language on quality of home health care. Policy, education, and clinical practice improvements are needed to address the biases behind judgment language.

A suggested mortality benefit with integrated health care versus conventional home health care in Taiwan

ABSTRACT In Taiwan, the Integrated Home Care (IHC) project was introduced for medically compromised patients living at home receiving Home Health Care (HHC) in 2016. The focus of the project was on organizing care teams and managing care for patients. The aim of this study was to investigate the benefits and impacts of IHC in Taiwan. The primary outcome measure was the mortality rate of patients who received IHC versus those who did not receive IHC (non-IHC). The secondary outcomes were medical utilization and expenditure. The results showed that IHC was associated with a statistically significant reduction in mortality compared to non-IHC for home-dwelling patients over 90-, 180-, and 365-days periods. Additionally, IHC users were less likely to be hospitalized and had shorter hospitalization times compared to non-IHC users. Furthermore, IHC was found to reduce medical expenditure compared to non-IHC.

The evaluation of an online nurse-assisted eye-screening tool in older adults receiving home healthcare.

To investigate the agreement between an online nurse-assisted eye-screening tool and reference tests in older adults receiving home healthcare and to collect user experiences. Older adults (65+) receiving home healthcare were included. Home healthcare nurses assisted in administering the eye-screening tool at participants' homes. Approximately 2 weeks later, a researcher administered reference tests at participants' homes. Experiences from participants and home healthcare nurses were collected. Agreement in outcomes (distance and near visual acuity, with the latter being measured using two different optotypes, and macular problems) between the eye-screening tool and reference clinical testing was compared. A difference of less than ±0.15 logMAR was considered acceptable. A total of 40 participants were included. Here, we describe the results for the right eye; results for the left eye were similar. The mean difference between the eye-screening tool and reference tests for distance visual acuity was 0.02 logMAR. The mean difference between the eye-screening tool and reference tests using two different optotypes for near visual acuity was 0.06 and 0.03 logMAR, respectively. The majority of the individual data points were within the ±0.15 logMAR threshold (75%, 51% and 58%, respectively). The agreement between tests for macular problems was 75%. Participants and home healthcare nurses were generally satisfied with the eye-screening tool, although remarks for further improvements were made. The eye-screening tool is promising for nurse-assisted eye screening in older adults receiving home healthcare, with the mostly satisfactory agreement. After implementing the eye-screening tool in practice, cost-effectiveness needs to be investigated.

Care Burden and Influencing Factors of Elderly Patients Receiving Home Health Care: Perspectives of Patients and Caregivers

Care Burden and Influencing Factors of Elderly Patients Receiving Home Health Care: Perspectives of Patients and Caregivers

Effect of a Hospital-Acquired Pressure Injury (HAPI) Risk Score on HAPI Rates in Patients With Vascular Diseases.

The purpose of this study was to assess whether a validated hospital-acquired pressure injury (HAPI) risk scale and best practice interventions were associated with lower HAPI rates compared with previous care. We also sought to identify a cut score of HAPI risk when using the instrument. Nonequivalent 2-group pre- and postintervention comparative study. The sample comprised 2871 patients treated for vascular diseases; data were collected on 2674 patients before the intervention and 197 patients postintervention. Their mean (SD) age was 69.3 (12.4) years; 29.3% (n = 842) had a history of diabetes mellitus. Based on discharge status, more patients received home health care after discharge in the postintervention group, 34% (n = 67/197) versus 16.2% (n = 430/2662), P = .001. The study setting was a quaternary care hospital in the Midwestern United States. Patients who were at high risk for HAPI, based on a nomogram score, received a mobility and ambulation program intervention. Pre- and postintervention cohorts were compared using analysis of variance, χ 2 test, and Fisher exact test. A receiver operating characteristic curve plot was generated to determine the ability of the risk score tool to identify HAPI risk at all possible cut points. Despite differences in patient characteristics, primary medical diagnosis, and postdischarge health care needs, the HAPI rate decreased postintervention from 13.8% (n = 370/2674) to 1.5% (n = 3/197), P = .001. A HAPI risk-predicted value cut score of 18 had strong sensitivity (0.81) and specificity (0.81), and positive and negative predictive values of 0.42 and 0.96, respectively. Despite higher patient acuity during the intervention period, HAPI rate decreased after HAPI nomogram and nurse-led mobility intervention implementation.

Investigation of vitamin D, vitamin B12 and ferritin levels in children receiving Home Health Care Services in Southeastern Turkey

Objective: For proper nutrition of children followed by the Home Health Care (HHC) unit, a close follow-up is extremely important. Vitamin deficiencies are common in children in this group who need parental or caregiver-dependent nutrition. The purpose of this study conducted in Batman Province, was to investigate vitamin D, vitamin B12 and ferritin levels of individuals under 18 years of age who are followed by the HHC unit and continue their lives and treatments at home, except for emergencies. Materials and Methods: This study was derived from the files of 416 pediatric patients who were followed up in Batman Province HHC unit between January 1, 2022, and December 31, 2022. It was designed as a retrospective, single-center study evaluating 25-hydroxyvitamin D (OH) levels, vitamin B12 levels, ferritin levels, and demographic variables from individuals followed by HHC unit. The data were collected from the HHC unit’s files. IBM-SPSS version 24 was used for analysis. Results: The mean age of the 416 children receiving home health care services included in the study was 10.38±4.37 years. 234 (56.2%) of the participants were male and 182 (43.8%) were female. The 25(OH)D level was 18.47±5.41 ng/mL for all ages, and the ferritin level was 34.90 (33.08) ng/mL. The vitamin B12 level was 480.31±190.38 ng/L. The 25-OH-D vitamin levels of the children in the study was significantly low. Conclusion: Patients followed within the scope of home health care services are at risk for malnutrition and vitamin deficiencies, and annual follow-up of the patients in this regard and personalized diet programs should be created. Vitamin D insufficiency and deficiency are common in children in this group, who cannot leave the house except for compulsory situations and cannot benefit from sunlight sufficiently. We think that these children with chronic diseases should take vitamin D prophylaxis.

Exploring nursing-sensitive events in home healthcare: A national multicenter cohort study using a trigger tool

BackgroundThe provision of home healthcare is increasing in response to the growing aging population with the need for chronic disease management in their homes. Safety work differs from hospital care. The incidence of adverse events in home healthcare is sparsely studied but is estimated to occur in-one third of patients, and most are deemed preventable. Although nursing care is crucial for risk assessment and preventive work in the home environment, the role of registered nurses in the prevention of no-harm incidents and adverse events has not received sufficient scientific attention. ObjectivesTo explore nursing-sensitive events in patients receiving home healthcare. Design, setting and participantsA Swedish national multicenter study based on a structured record review of 600 randomly chosen healthcare records from 10 organizations in different regions of the country. MethodsTen trained teams, each including physician(s) and registered nurses, undertook a review based on the Global Trigger Tool method. The review covered a maximum of 90 days from admission to home healthcare. First, each record was screened for the presence of 38 predefined triggers. In the second step, every potential event was assessed according to preventability, types of events, severity, time of occurrence, consequences of the event, and potential contributing causes. ResultsIn total, 699 events were identified in the study. Of these, 495 (74.0%) were classified as nursing-sensitive (227 no-harm incidents and 268 adverse events) and affected 267 (44.5%) patients, with a mean of 1.9 events per patient. The majority (n = 367, 73.1%) were considered preventable. The most prominent types of nursing-sensitive event were falls (n = 138, 27.9%), pressure ulcers (n = 62, 12.5%), healthcare-associated infections (n = 58, 11.7%) and medication management (n = 50, 10.1%). Concerning severity, 45.9% were classified as no-harm incidents and another 36.6% resulted in temporary harm that required extra healthcare resources: 226 hospital days, 66 physician visits in outpatient care, and 99 in home healthcare. All severity types occurred from day 1, except death, which included only one patient. The most frequent contributing factors were deficiencies in nursing care, treatment & diagnosis, with the subgroups nursing care, observation, treatment & follow-up, followed by deficiencies in the organization. ConclusionsNursing-sensitive events in home healthcare are common, often preventable, and occur from the start of the care period. This study contributes to increased knowledge of patient safety shortcomings and points to the important role that registered nurses play in patient safety work.

RACIAL DISPARITY IN THE START OF HOME HEALTHCARE IN HIGH-RISK ADRD PATIENTS BY THE QUALITY OF HOME HEALTH

Abstract Improving the quality and timely access of home health care is a new quality measure and particularly crucial in high-risk ADRD adults following hospitalization. However, a significant portion of older patients waits longer than 2 days to receive home healthcare. In this study, we examine how the quality of home health agency and race are associated with the delay in care among ADRD patients receiving home healthcare and how this delay mitigates the risk of rehospitalization. We find that Black patients in low rated home health agencies have 28% higher odds of delay in care compared to White patients in high rated home health agencies (Odds ratio (95% CI) =1.28 (1.21 - 1.36)). Timely initiation of home health care also reduces the risk of rehospitalization in minority older adults with ADRD.

1908. Social Risk Factors for COVID-19-Related Hospitalizations in Adults

Abstract Background During the COVID-19 pandemic, social interventions such as social distancing and mask wearing have been encouraged. Social risk factors for SARS-CoV-2 infection and subsequent hospitalization remain uncertain. Methods Adult patients were eligible if admitted to Emory University Hospital or Emory University Hospital Midtown with acute respiratory infection (ARI) symptoms (≤ 14 days) or an admitting ARI diagnosis from May 2021 – Feb 2022. After enrollment, an in-depth interview identified demographic and social factors (e.g., employment status, smoking history, alcohol use), household characteristics, and pandemic social behaviors. All patients were tested for SARS-CoV-2 using PCR. We evaluated whether these demographic and social factors were related to a positive SARS-CoV-2 test upon admission to hospital with ARI using a logistic regression model. Results 1141 subjects were enrolled and had SARS-CoV-2 PCR results available (700 positive and 441 negative). The median age was greater in the SARS-CoV-2 negative cohort than in the positive cohort (60 and 53 years, respectively; P&amp;lt; .0001). Those who tested positive were more likely to have had at least some college education compared to those who tested negative (64.3% vs 52.3%, P&amp;lt; .0001; adjusted odds ratio [aOR]: 1.4 [95%CI: 1.1, 2.0]). Compared to those who tested negative, those who were SARS-CoV-2 positive were also more likely to be employed (48.9% vs 26.5%, P&amp;lt; .0001; aOR: 1.7 [95%CI: 1.1, 2.3]), have children 5-17 yo at home (27.6% vs 17.9%, P=.0002; aOR: 1.5 [95%CI: 1.1, 2.1]). Those with COVID-19 were less likely to receive home healthcare (6.2% vs 13.3%, P&amp;lt; .0001; aOR: 0.5 [95%CI: 0.4, 0.9]) and to be a current or previous smoker (7.6% vs 17.7%, P&amp;lt; .0001; aOR: 0.3 [95%CI: 0.2, 0.5]). Conclusion Among adults admitted to the hospital for ARI, those who tested positive for SARS-CoV-2 were typically younger, more likely to care for school-aged children, more likely to work outside the home, but were less likely to receive home healthcare or smoke. Personal and public health strategies to mitigate COVID-19 should take into consideration modifiable social risk factors. Disclosures Laura A. Puzniak, PhD. MPH, Merck &amp; Co., Inc.: Stocks/Bonds|Pfizer, Inc.: Stocks/Bonds Robin Hubler, MS, Pfizer Inc.: Employee|Pfizer Inc.: Stocks/Bonds Srinivas Valluri, PhD, Pfizer: Employee|Pfizer: Stocks/Bonds Benjamin Lopman, PhD, Epidemiological Research and Methods, LLC: Advisor/Consultant Satoshi Kamidani, MD, NIH: His institution (Emory University) receives funds from Pfizer for his work as a co-investigator on clinical trials of Pfizer COVID-19 vaccine.|Pfizer: His institution (Emory University) receives funds from Pfizer for his work as a co-investigator on clinical trials of Pfizer COVID-19 vaccine. Christina A. Rostad, MD, BioFire Inc, GSK, MedImmune, Micron, Merck, Novavax, PaxVax, Pfizer, Regeneron, Sanofi-Pasteur.: Grant/Research Support|Meissa Vaccines, Inc.: Co-inventor of RSV vaccine technology licensed to Meissa Vaccines, Inc.|NIH (Funding from NIH to conduct clinical trials of Moderna and Janssen COVID-19 vaccines): Grant/Research Support John M. McLaughlin, PhD, Pfizer: Employee|Pfizer: Stocks/Bonds Evan J. Anderson, MD, GSK: Advisor/Consultant|GSK: Grant/Research Support|Janssen: Advisor/Consultant|Janssen: Grant/Research Support|Kentucky Bioprocessing, Inc: Data Safety Monitoring Board|MedImmune: Grant/Research Support|Medscape: Advisor/Consultant|Merck: Grant/Research Support|Micron: Grant/Research Support|NIH: Funding from NIH to conduct clinical trials of Moderna and Janssen COVID-19 vaccines|PaxVax: Grant/Research Support|Pfizer: Advisor/Consultant|Pfizer: Grant/Research Support|Regeneron: Grant/Research Support|Sanofi Pasteur: Advisor/Consultant|Sanofi Pasteur: Grant/Research Support|Sanofi Pasteur: Data Adjudication and Data Safety Monitoring Boards|WCG and ACI Clinical: Data Adjudication Board.

Home health care professionals’ experiences of working in integrated teams during the COVID-19 pandemic: a qualitative thematic study

BackgroundSince COVID-19 emerged, over 514 million COVID-19 cases and 6 million COVID-19-related deaths have been reported worldwide. Older persons receiving home health care often have co-morbidities that require advanced medical care, and are at risk of becoming severely ill or dying from COVID-19. In Sweden, over 10,000 COVID-19-related deaths have been reported among persons receiving municipal home health and social care. Home health care professionals have been working with the patients most at risk if infected. Most research has focused on the experiences of professionals in hospitals and assistant nurses in a home care setting. It is therefore valuable to study the experiences of the registered nurses and physicians working in home health care during the COVID-19 pandemic to learn lessons to inform future work.MethodA thematic qualitative study design using a semi-structured interview guide.ResultsThe health care professionals experienced being forced into changed ways of working, which disrupted building and maintaining relationships with other health care professionals, and interrupted home health care. The health care professionals described being forced into digital and phone communication instead of in-person meetings, which negatively influenced the quality of care. The COVID-19 pandemic brought worry about illness for the health care professionals, including worrying about infecting patients, co-workers, and themselves, as well as worry about upholding the provision of health care because of increasing sick leave. The health care professionals felt powerless in the face of their patients’ declining health. They also faced worry and guilt from the patients’ next of kin.ConclusionHome health care professionals have faced the COVID-19 pandemic while working across organizational borders, caring for older patients who have been isolated during the pandemic and trying to prevent declining health and feelings of isolation. Due to the forced use of digital and phone communication instead of in-person visits, the home health care professionals experienced a reduction in the patients’ quality of care and difficulty maintaining good communication between the professions.

Self-reported gaps in care coordination and preventable adverse outcomes among older adults receiving home health care.

Older adults see multiple outpatient providers and increasingly use home health care (HHC) services. Previous studies attempting to draw inferences about the association between HHC use and patient outcomes have been mixed. Whether HHC is associated with care coordination and how both influence outcomes are unknown. In addition, prior studies have not taken the patient perspective into account. We examined the association between receiving HHC and self-reported gaps in care coordination and separately, preventable adverse outcomes. The analysis for this cross-sectional study was conducted between October 2021 and June 2022, using data on 4296 Medicare beneficiaries from the Reasons for Geographic and Racial Differences in Stroke (REGARDS) study who completed a survey on care coordination from 2017 to 2018. The associations between the receipt of HHC and two outcomes (a gap in care coordination, and separately, a preventable adverse event) were examined with Poisson models with robust standard errors. Potential confounders were accounted for through propensity score-based inverse probability weighting. Among 4296 participants, 430 (10%) received HHC and they were older and had more comorbidities and ambulatory visits than those without HHC. HHC was not associated with differences in self-reported gaps in care coordination (33.3% HHC vs. 32.5% no-HHC, p=0.70). HHC recipients reported more preventable drug-drug interactions (9.1% vs. 4.0%, p < 0.001) but not more preventable ED visits or hospital admissions. In IPW-adjusted models, HHC was not associated with gaps in care coordination (p=0.60) but was associated with double the risk of a preventable adverse outcome (aRR 2.06; CI: 1.37, 3.10, p < 0.001). HHC recipients were significantly more likely (than those without HHC) to report a potentially preventable adverse event (particularly a drug-drug interaction), suggesting an opportunity to improve patient safety by leveraging the observations of older adults receiving HHC.

The identification of clusters of risk factors and their association with hospitalizations or emergency department visits in home health care.

To identify clusters of risk factors in home health care and determine if the clusters are associated with hospitalizations or emergency department visits. A retrospective cohort study. This study included 61,454 patients pertaining to 79,079 episodes receiving home health care between 2015 and 2017 from one of the largest home health care organizations in the United States. Potential risk factors were extracted from structured data and unstructured clinical notes analysed by natural language processing. A K-means cluster analysis was conducted. Kaplan-Meier analysis was conducted to identify the association between clusters and hospitalizations or emergency department visits during home health care. A total of 11.6% of home health episodes resulted in hospitalizations or emergency department visits. Risk factors formed three clusters. Cluster 1 is characterized by a combination of risk factors related to "impaired physical comfort with pain," defined as situations where patients may experience increased pain. Cluster 2 is characterized by "high comorbidity burden" defined as multiple comorbidities or other risks for hospitalization (e.g., prior falls). Cluster 3 is characterized by "impaired cognitive/psychological and skin integrity" including dementia or skin ulcer. Compared to Cluster 1, the risk of hospitalizations or emergency department visits increased by 1.95 times for Cluster 2 and by 2.12 times for Cluster 3 (all p < .001). Risk factors were clustered into three types describing distinct characteristics for hospitalizations or emergency department visits. Different combinations of risk factors affected the likelihood of these negative outcomes. Cluster-based risk prediction models could be integrated into early warning systems to identify patients at risk for hospitalizations or emergency department visits leading to more timely, patient-centred care, ultimately preventing these events. There was no involvement of patients in developing the research question, determining the outcome measures, or implementing the study.

Risk factors for infection in older adults who receive home healthcare and/or home help: A protocol for systematic review and meta-analysis.

The shift towards home-based care has resulted in increased provision of home healthcare and home help to older adults. Infections acquired in older adults while receiving home care have increased too, resulting in unplanned yet avoidable hospitalizations. In recent years, several studies have reported an array of factors associated with risk of infection; however, no previous systematic review has compiled such evidence, which is important to better protect older adults. Therefore, we have outlined the work of a systematic review that aims to identify risk factors for infection in older adults receiving home healthcare and/or home help. Searches for relevant studies will be conducted in five databases [MEDLINE, EMBASE (Excerpta Medica Database), Web of Science Core Collection, Cinahl (Cumulative Index to Nursing & Allied Health Literature) and Sociological Abstracts]. All types of studies will be included. Exposures considered refer to medical, individual, social/behavioral and environmental risk factors for infection (outcome). Two researchers will independently go through the records generated. Eligible studies will be assessed for risk of biases using the Cochrane risk of bias assessment tool and an overall interpretation of the biases will be provided. If the data allow, a meta-analysis will be conducted. It is possible that both quantitative and qualitative studies will be identified and eligible. Therefore, for the analysis, the Joanna Briggs Institute Reviewers' Manual for mixed methods systematic reviews will be used as it allows for two or more single method reviews (e.g., one quantitative and one qualitative) to be conducted separately and then combined in a joint overarching synthesis. The findings of the planned systematic review are of interest to healthcare professionals, caregivers, older adults and their families, and policy- and decisions makers in the health and social care sectors as the review will provide evidence-based data on multiple factors that influence the risk of infection among older adults receiving care in their homes. The results could guide future policy on effective infection control in the home care sector.