Risk factors for infection in home health care: Analysis of national Outcome and Assessment Information Set data

Factors associated with change in activities of daily living performance in home health care patients with diabetes

Older adults with diabetes are at risk for impairments in activities of daily living (ADL) performance. Home health (HH) services help patients regain their ability to perform ADLs following hospitalization, but there may be disparities in ADL improvement. We aimed to identify factors associated with change in ADL performance from the start of HH care to discharge in HH patients with diabetes age ≥65. This secondary analysis used Outcome and Assessment Information Set-D data collected by a HH agency. The sample (n = 1350) had a mean age of 76.3 (SD 7.3). Black/African American race and bowel incontinence/ostomy were associated with less ADL improvement. The following factors were associated with greater ADL improvement: having a caregiver who needed training/support, surgical wounds, pain that interfered with activity, confusion, and better scores in prior functioning. Overall, most patients improved their ADL performance while receiving HH care, but there are disparities that should be addressed.

Barriers to infection prevention and control in patients' homes

While there is a lot of emphasis on the need for good infection prevention and control practices and acute care, the increasing complexity of patients being cared for in their own homes means that there is an increased risk for infection. Good practice is required by community nurses to minimise this risk. Patients' own homes can present particular challenges in complying with good practice and this article looks at some of the barriers to optimum infection prevention and control precautions in this setting.

Vaccine effectiveness and the epidemiological characteristics of a COVID-19 outbreak in a tertiary hospital in Republic of Korea

BACKGROUND

Healthcare facilities are high-risk sites for infection. This study analyzed the epidemiological characteristics of a coronavirus disease 2019 (COVID-19) outbreak in a tertiary hospital after COVID-19 vaccination had been introduced in Republic of Korea. Vaccine effectiveness (VE) and shared anti-infection strategies are also assessed.

METHODS

The risk levels for 4,074 contacts were evaluated. The epidemiological characteristics of confirmed cases were evaluated using the chi-square test. The "1 minus relative risk" method was used to determine VE in preventing infection, progression to severe disease, and death. In the largest affected area (the 8th floor), a separate relative risk analysis was conducted. A multivariate logistic regression analysis (with 95% confidence interval [CIs]) was used to identify transmission risk factors with a significance level <10% via the backward elimination method.

RESULTS

In total, 181 cases of COVID-19 were confirmed, with an attack rate of 4.4%. Of those cases, 12.7% progressed to severe disease, and 8.3% died. In the cohort isolation area on the 8th floor, where 79.0% of the confirmed cases occurred, the adjusted odds ratio was 6.55 (95% CI, 2.99-14.33) and 2.19 (95% CI, 1.24-3.88) for caregivers and the unvaccinated group, respectively. VE analysis revealed that 85.8% of the cases that progressed to severe disease and 78.6% of the deaths could be prevented by administering a second vaccine.

CONCLUSION

Caregiver training for infection prevention and control is necessary to reduce infection risk. Vaccination is an important intervention to reduce the risk of progression to severe disease and death.

Home Health Care Is Associated With an Increased Risk of Emergency Department Visit, Readmission, and Cost of Care Without Reducing Risk of Complication Following Total Hip Arthroplasty: A Propensity-Score Analysis

BACKGROUND

Home health services have long been implemented for patients to receive additional professional care and supervision following discharge from the hospital to theoretically reduce the risk of complications and health care utilizations. The aim of this investigation was to determine if patients assigned home health services exhibited lower rates of medical and surgical complications, health care utilizations, and costs of care following total hip arthroplasty.

METHODS

A large national database was retrospectively reviewed to identify all primary total hip arthroplasty patients from 2010 to 2019. Patients who received home health services were matched using a propensity score algorithm to a set of similar patients who were discharged home under self-care. We compared medical and surgical complication rates, emergency room visits, readmissions, and 90-day costs of care between the groups. Multivariate regression analyses were performed to determine the independent effect of home health services on all outcomes. There were 7,243 patients who received home health services and were matched to 72,430 patients who were discharged home under self-care.

RESULTS

Patients who received home health services had higher rates of emergency department visits at 30 days (Odds Ratio [OR] R statistical programming software v 3.6.1 [Lucent Technologies, New Providence, RJ] 1.1544; P = .002) as well as increased readmissions at 30 days (OR 1.137; P = .039); complication rates were similar between groups. Episode-of-care costs for home health patients were higher than those discharged under self-care ($14,236.97 versus $12,817.12; P < .001).

CONCLUSION

Patients assigned home health care services exhibited higher costs of care without decreased risk of complications and had increased risk of early returns to the emergency department and readmissions.

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

BACKGROUND

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.

METHODS

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.

RESULTS

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.

CONCLUSION

The results could guide future policy on effective infection control in the home care sector.

Association between osteoarthritis and urinary tract infection in older adults: A nationwide population-based cohort study

Osteoarthritis (OA) may increase urinary tract infection (UTI) in older adults. However, this issue remains unclear. We identified 8599 older patients (≥65 years) with OA, and an equal number of older patients without OA, matched by age, sex, and index date from the Taiwan National Health Insurance Research Database between 2001 and 2005. Past histories, including UTI and underlying comorbidities, were included in the analyses. Comparisons for any UTI, ≥1 hospitalization for UTI, and ≥3 hospitalizations for UTI between the 2 cohorts by following up until 2015 were performed. In both cohorts, the percentages of age subgroups were 65-74 years (65.7%), 75-84 years (30.1%), and ≥85 years (4.2%). The male sex was 42.4%. Patients with OA had an increased risk of any UTI compared with those without OA after adjusting for all past histories (adjusted hazard ratio [AHR]: 1.72; 95% confidence interval [CI]: 1.64-1.80). Compared with patients without OA, patients with OA also had an increased risk of ≥1 hospitalization for UTI and ≥3 hospitalizations for UTI (AHR: 1.13; 95% CI: 1.06-1.19 and AHR: 1.25; 95% CI: 1.13-1.38, respectively). In addition to OA, age 75-84 years, female sex, history of UTI, benign prostatic hyperplasia, indwelling urinary catheter, cerebrovascular disease, dementia, and urolithiasis were independent predictors for any UTI. This study showed that OA was associated with UTI in older adults. We suggest appropriately managing OA and controlling underlying comorbidities to prevent subsequent UTI.

Urinary catheter policies in home healthcare agencies and hospital transfers due to urinary tract infection

BACKGROUND

Urinary tract infections (UTIs) are a frequent cause of hospital transfer for home healthcare (HHC) patients, particularly among patients with urinary catheters.

METHODS

We conducted a cross-sectional, nationally representative HHC agency-level survey (2018-2019) and combined it with patient-level data from the Outcome and Assessment Information Set (OASIS) and Medicare inpatient data (2016-2018) to evaluate the association between HHC agencies' urinary catheter policies and hospital transfers due to UTI. Our sample included 28,205 patients with urinary catheters who received HHC from 473 Medicare-certified agencies between 2016-2018. Our survey assessed whether agencies had written policies in place for (1) replacement of indwelling catheters at fixed intervals, and (2) emptying the drainage bag. We used adjusted logistic regression to estimate the association of these policies with probability of hospital transfer due to UTI during a 60-day HHC episode.

RESULTS

Probability of hospital transfer due to UTI during a HHC episode ranged from 5.62% among agencies with neither urinary catheter policy to 4.43% among agencies with both policies. Relative to agencies with neither policy, having both policies was associated with 21% lower probability of hospital transfer due to UTI (P < .05).

CONCLUSION

Our findings suggest implementation of policies in HHC to promote best practices for care of patients with urinary catheters may be an effective strategy to prevent hospital transfers due to UTI.

A task analysis of central line-associated bloodstream infection (CLABSI) surveillance in home infusion therapy

BACKGROUND

Barriers for home infusion therapy central line associated bloodstream infection (CLABSI) surveillance have not been elucidated and are needed to identify how to support home infusion CLABSI surveillance. We aimed to (1) perform a goal-directed task analysis of home infusion CLABSI surveillance, and (2) describe barriers to, facilitators for, and suggested strategies for successful home infusion CLABSI surveillance.

METHODS

We conducted semi-structured interviews with team members involved in CLABSI surveillance at 5 large home infusion agencies to explore work systems used by members of the agency for home infusion CLABSI surveillance. We analyzed the transcribed interviews qualitatively for themes.

RESULTS

Twenty-one interviews revealed 8 steps for performing CLABSI surveillance in home infusion therapy. Major barriers identified included the need for training of the surveillance staff, lack of a standardized definition, inadequate information technology support, struggles communicating with hospitals, inadequate time, and insufficient clinician engagement and leadership support.

DISCUSSION

Staff performing home infusion CLABSI surveillance need health system resources, particularly leadership and front-line engagement, access to data, information technology support, training, dedicated time, and reports to perform tasks.

CONCLUSIONS

Building home infusion CLABSI surveillance programs will require support from home infusion leadership.

Invasive Group A Streptococcus Outbreaks Associated with Home Healthcare, England, 2018-2019

emm typing and whole-genome sequencing can help identify case clusters.

Healthcare-associated invasive group A Streptococcus (iGAS) outbreaks are common worldwide, but only England has reported outbreaks associated with home healthcare (HHC). We describe 10 outbreaks during 2018–2019 in England. A total of 96 iGAS cases (range 2–39 per outbreak) and 28 deaths (case-fatality rate 29%) occurred. Outbreak duration ranged from 3–517 days; median time between sequential cases was 20.5 days (range 1–225 days). Outbreak identification was difficult, but emm typing and whole-genome sequencing improved detection. Network analyses indicated multiple potential transmission routes. Screening of 366 HHC workers from 9 outbreaks identified group A Streptococcus carriage in just 1 worker. Outbreak control required multiple interventions, including improved infection control, equipment decontamination, and antimicrobial prophylaxis for staff. Transmission routes and effective interventions are not yet clear, and iGAS outbreaks likely are underrecognized. To improve patient safety and reduce deaths, public health agencies should be aware of HHC-associated iGAS.

Experience of a COVID-19 outbreak response in a general hospital in Gyeonggi Province, Korea

OBJECTIVES

Coronavirus disease 2019 (COVID-19) outbreaks in general hospitals are particularly risky because they not only overburden the regional healthcare delivery system, but also increase the possibility of community transmission. This study shares an experience of a COVID-19 outbreak response in a general hospital in Gyeonggi Province, Korea.

METHODS

Since the first COVID-19 confirmed case was recognized in Hospital A on March 29, 2020, the Immediate Response Team of Gyeonggi Province and Korea Disease Control and Prevention Agency devised a plan to conduct an epidemiological investigation and minimize the paralysis of hospital functions. Apart from the epidemiological investigation, a risk assessment of the hospital and management of contacts, including patients and workers, were also undertaken.

RESULTS

In total, 72 confirmed cases were identified, including 26 hospitalized patients, 16 healthcare personnel, 7 visitors, and 22 cases identified externally. The majority of the confirmed cases were exposed in Ward B or were contacts of people exposed in Ward A (58.3% of 72 cases). Among healthcare personnel, caregivers were found to be the most vulnerable to COVID-19 in this outbreak.

CONCLUSIONS

Preparation for all possible situations in medical facilities is important because it is difficult to find alternative resources. The findings of this study provide information on controlling the further transmission of COVID-19 and furnish evidence of the importance of ordinary management skills to be prepared for COVID-19.

Predictive Risk Models for Wound Infection-Related Hospitalization or ED Visits in Home Health Care Using Machine-Learning Algorithms

OBJECTIVE

Wound infection is prevalent in home healthcare (HHC) and often leads to hospitalizations. However, none of the previous studies of wounds in HHC have used data from clinical notes. Therefore, the authors created a more accurate description of a patient's condition by extracting risk factors from clinical notes to build predictive models to identify a patient's risk of wound infection in HHC.

METHODS

The structured data (eg, standardized assessments) and unstructured information (eg, narrative-free text charting) were retrospectively reviewed for HHC patients with wounds who were served by a large HHC agency in 2014. Wound infection risk factors were identified through bivariate analysis and stepwise variable selection. Risk predictive performance of three machine learning models (logistic regression, random forest, and artificial neural network) was compared.

RESULTS

A total of 754 of 54,316 patients (1.39%) had a hospitalization or ED visit related to wound infection. In the bivariate logistic regression, language describing wound type in the patient's clinical notes was strongly associated with risk (odds ratio, 9.94; P < .05). The areas under the curve were 0.82 in logistic regression, 0.75 in random forest, and 0.78 in artificial neural network. Risk prediction performance of the models improved (by up to 13.2%) after adding risk factors extracted from clinical notes.

CONCLUSIONS

Logistic regression showed the best risk prediction performance in prediction of wound infection-related hospitalization or ED visits in HHC. The use of data extracted from clinical notes can improve the performance of risk prediction models.

Infection prevention and control practices in the home environment: Examining enablers and barriers to adherence among home health care nurses

BACKGROUND

Infection Prevention and Control (IPC) practices have been established in home health care. Adherence to IPC practices has been suboptimal with limited available evidence. The study aim was to examine the impact of individual, home environment, and organizational factors on IPC practices using human factors model.

METHODS

Three hundred and fifty-three nurses were surveyed across two large home care agencies to examine the relationship between IPC adherence and individual, home environment, and organizational factors.

RESULTS

Nurses reported multiple barriers to IPC practices in patients' homes (mean = 4.34, standard deviation = 2.53). Frequent barriers included clutter (reported by 74.5% of nurses) and a dirty environment (70.3%). Nurses also reported limited availability of some IPC supplies (mean = 7.76, standard deviation = 2.44), including personal protective equipment. Home environment factors were significant barriers, and availability of IPC supplies were significant enablers of IPC adherence. Agency-provided training and decision-making resources were not significant factors for IPC adherence in the presence of home environment barriers and IPC supplies.

CONCLUSIONS

This study findings suggest that IPC adherence strategies point to addressing barriers in the home environment and increasing availability of IPC supplies. The relationship between the patient's home environment, organizational factors, and IPC practices among home health care nurses warrants further study.

Individual, social, and environmental factors for infection risk among home healthcare patients: A multi-method study

There has been limited research into the individual, social, and environmental factors for infection risk among patients in the home healthcare (HHC) setting, where the infection is a leading cause of hospitalisation. The aims of this study were to (1) explore nurse perceptions of individual, social, and environmental factors for infection risk among HHC patients; and (2) identify the frequency of environmental barriers to infection prevention and control in HHC. Data were collected in 2017-2018 and included qualitative interviews with HHC nurses (n = 50) and structured observations of nurse visits to patients' homes (n = 400). Thematic analyses of interviews with nurses suggested they perceived infection risk among patients as being influenced by knowledge of and attitudes towards infection prevention and engagement in hygiene practices, receipt of support from informal caregivers and nurse interventions aimed at cultivating infection control knowledge and practices, and the home environment. Statistical analyses of observation checklists revealed nurses encountered an average of 1.7 environmental barriers upon each home visit. Frequent environmental barriers observed during visits to HHC patients included clutter (39.5%), poor lighting (38.8%), dirtiness (28.5%), and pets (17.2%). Additional research is needed to clarify inter-relationships among these factors and identify strategies for addressing each as part of a comprehensive infection control program in HHC.

LACE Score-Based Risk Management Tool for Long-Term Home Care Patients: A Proof-of-Concept Study in Taiwan

Background: Effectively predicting and reducing readmission in long-term home care (LTHC) is challenging. We proposed, validated, and evaluated a risk management tool that stratifies LTHC patients by LACE predictive score for readmission risk, which can further help home care providers intervene with individualized preventive plans. Method: A before-and-after study was conducted by a LTHC unit in Taiwan. Patients with acute hospitalization within 30 days after discharge in the unit were enrolled as two cohorts (Pre-Implement cohort in 2017 and Post-Implement cohort in 2019). LACE score performance was evaluated by calibration and discrimination (AUC, area under receiver operator characteristic (ROC) curve). The clinical utility was evaluated by negative predictive value (NPV). Results: There were 48 patients with 87 acute hospitalizations in Pre-Implement cohort, and 132 patients with 179 hospitalizations in Post-Implement cohort. These LTHC patients were of older age, mostly intubated, and had more comorbidities. There was a significant reduction in readmission rate by 44.7% (readmission rate 25.3% vs. 14.0% in both cohorts). Although LACE score predictive model still has room for improvement (AUC = 0.598), it showed the potential as a useful screening tool (NPV, 87.9%; 95% C.I., 74.2–94.8). The reduction effect is more pronounced in infection-related readmission. Conclusion: As real-world evidence, LACE score-based risk management tool significantly reduced readmission by 44.7% in this LTHC unit. Larger scale studies involving multiple homecare units are needed to assess the generalizability of this study.