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. 2021 Jan 19;115:103841. doi: 10.1016/j.ijnurstu.2020.103841

The state of infection prevention and control at home health agencies in the United States prior to COVID-19: A cross-sectional study

Jingjing Shang a,, Ashley M Chastain a, Uduwanage Gayani E Perera a, Andrew W Dick b, Caroline J Fu a, Elizabeth A Madigan c, Monika Pogorzelska-Maziarz d, Patricia W Stone a
PMCID: PMC7940586  NIHMSID: NIHMS1666788  PMID: 33483100

Abstract

Background

Home health care is a rapidly growing healthcare sector worldwide. Home health professionals face unique challenges related to preventing and controlling infections, which are likely to amplify during an infectious disease outbreak (e.g. SARS-CoV-2). Little is known about the current state of infection prevention and control-related policies and outbreak preparedness at U.S. home health agencies.

Objectives

In this study, we conducted a national survey to assess infection prevention and control-related policies, infrastructure, and procedures prior to the SARS-CoV-2 pandemic.

Design

Cross-sectional study.

Setting/Participants

Using a stratified random sample of 1506 U.S. home health agencies, we conducted a 61-item survey (paper and online) from November 9, 2018 to December 31, 2019.

Methods

Survey data were linked to publicly-available data on the quality of patient care, patient satisfaction, and other agency characteristics. Probability weights were developed to account for sample design and nonresponse; Pearson's χ2, Fisher's exact, t-tests or linear regression were used to compare the universe of agencies/respondents and urban/rural agencies.

Results

35.6% of agencies responded (n = 536). Most home health personnel in charge of infection prevention and control have other responsibilities; one-third have no formal infection prevention and control training. Rural agencies are more likely to not have anyone in charge of infection prevention and control compared to those in urban areas. About 22% of agencies implement recommended guidelines when administering antibiotics. Less than a third (26.4%) report that their staff vaccination rates were higher than 95% during the last flu season. Only 48.1% of agencies accept patients requiring ventilation, and of those, 40.9% located in rural areas do not have specific infection prevention and control policies for ventilated patients, compared to 20.8% in urban areas (p < 0.001). Only 39.7% of agencies provide N95 respirators to their clinical staff; rural agencies are significantly more likely to provide those supplies than urban agencies (50.7% vs. 37.7%, p = 0.004). Lastly, agencies report their greatest challenges with infection prevention and control are collecting/reporting infection data and adherence to/monitoring of nursing bag technique.

Conclusions

Prior to the SARS-CoV-2 pandemic, we found that infection prevention and control was suboptimal among U.S. home health care agencies. Consequently, most agencies have limited capacity to respond to infectious disease outbreaks. Staff and personal protective equipment shortages remain major concerns, and agencies will need to quickly adjust their existing infection prevention and control policies and potentially create new ones. In the long-term, agencies also need to improve influenza vaccination coverage among their staff.

Tweetable abstract: Infection prevention and control infrastructure, policies and procedures and outbreak preparedness at U.S. home health agencies was found to be suboptimal in nationally-representative survey conducted just prior to the COVID-19 pandemic.

Keywords: Home care agencies, Infection control, Emergency preparedness, Nursing research

What is already known about the topic?

  • We searched PubMed from database inception until March 23, 2020, without language restrictions for longitudinal or cross-sectional research studies using the search string: ((“home” AND “health”) AND (“infection” AND “prevention” OR “control”) OR (“preparedness”)), in addition to searching (via Google) up to April 28, 2020 for current news stories about home health care and the SARS-CoV-2 pandemic.

  • Prior to the SARS-CoV-2 pandemic, infections were cited as one of the top reasons for unplanned hospitalization among home health care patients, significant variations were found in infection prevention and control procedures across U.S. home health agencies, and most U.S. agencies did not have a full-time infection preventionist on staff.

  • With respect to preparedness, a study conducted after the 2009 H1N1 pandemic suggested that planning for surge capacity and supply shortages also varies widely among U.S. home health agencies, and at the beginning of the SARS-CoV-2 pandemic, significant shortages of trained staff and personal protective equipment were being reported in the U.S.

What this paper adds

  • We conducted a nationally-representative survey of infection prevention and control at U.S. home health agencies prior to the SARS-CoV-2 pandemic.

  • To our knowledge, this is the first study to examine the overall state of infection prevention and control infrastructure, policies and procedures in U.S. home health agencies, and our results provide the most current data about U.S. agency preparedness for outbreaks, epidemics and pandemics.

  • Our findings suggest that the state of infection prevention and control-related policies and outbreak preparedness at U.S. home health agencies is suboptimal, particularly when faced with a global pandemic, which has implications for clinicians, policymakers and future home health care guidelines.

1. Introduction

Home health care, referring to care delivered in a patient's home by healthcare professionals, is a vital service for those who prefer to age in place, as well as those who are convalescing. As the worldwide population continues aging (World Health Organization 2011), this rapidly growing healthcare sector is faced with unique challenges, specifically around infection prevention and control. Unlike hospital or long-term care settings, home health care is delivered in a less controlled environment with potential sanitation hazards and fewer resources (Gershon et al., 2008).

During the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic (World Health Organization 2020), the home environment poses difficulties for home health professionals implementing infection prevention and control policies and procedures. In the United States (U.S.), the Emergency Preparedness Rule, prompted by the 2014 Ebola and other emerging infectious disease outbreaks (Centers for Medicare, and Medicaid Services 2016), requires home health agencies to prepare readiness plans in the event of epidemics and pandemics. Implemented in late 2016 by the Centers for Medicare and Medicaid Services (CMS), the rule established requirements for home health agencies that are similar to those of hospitals, and required home health clinicians to complete individual patient emergency preparedness plans during their comprehensive assessments. Furthermore, the Pandemic and All-Hazards Preparedness and Advancing Innovation Act of 2019 requires the U.S. government to provide specific instructions, as well as improve communication and coordination, so that healthcare systems and providers can appropriately respond to infectious disease outbreaks (Pandemic and All-Hazards Preparedness and Advancing Innovation Act of 2019 2019).

In line with those requirements, CMS published specific SARS-CoV-2 infection control recommendations for home health agencies on March 10, 2020 (Center for Clinical Standards and Quality/Quality, Safety and Oversight Group Services 2020). Subsequently, certain Medicare and Medicaid regulations, such as telemedicine and paperwork requirements, were changed in order to assist home health clinicians with providing care to vulnerable patients (Centers for Medicare, and Medicaid Services 2020). However, it is unknown how prepared U.S. home health agencies are to care for patients who may have COVID-19 (the disease arising from SARS-CoV-2 infection) (World Health Organization 2020). In non-pandemic conditions, the location of the agency can determine what resources the agency may have access to (Skillman et al., 2016). Previous investigators have cited numerous challenges for agencies located in rural settings (e.g. workforce recruitment, availability of community resources, internet access/bandwidth for telehealth), compared to those in urban locales, which contributes to differences in access to care and home health utilization (Hartman et al., 2007). Furthermore, prior research conducted after the 2009 H1N1 pandemic indicates that planning for surge capacity and supply shortages may vary widely among agencies (Kassmeier et al., 2013; Rebmann et al., 2011). Early on in the SARS-CoV-2 pandemic, there were reports of significant shortages of trained staff and personal protective equipment (e.g., N95 respirators, gowns, face shields) in the U.S., which are critical for preventing viral transmission (Jamison, 2020; The United States Conference of Mayors 2020). Even without an ongoing pandemic, inadequate implementation of recommended infection prevention and control practices can significantly affect the quality of care and safety of home health patients (Rhinehart and McGoldrick, 2006), who are predominantly older adults with multiple chronic conditions (Avalere Health 2019).

Prior to the SARS-CoV-2 outbreak, infections were cited as one of the top reasons for unplanned hospitalization among home health patients (Shang et al., 2015). Infection prevention and control in home health care has been identified as a national patient safety goal by the Joint Commission (The Joint Commission Accreditation of Healthcare Organizations 2016). Yet, the effort expended on infection prevention and control in the U.S. home health industry is not keeping pace with the industry's growth rate and risks that home health patients face. To our knowledge, only one study has previously examined infection prevention and control policies and procedures in home health care, and the researcher found that most agencies did not have a full-time infection preventionist (Kenneley, 2012). The investigator also found significant variation in infection prevention and control procedures across agencies. However, the researcher surveyed home health nurses and only focused on policies related to multiple drug-resistant organisms (MDROs) and did not analyze by agency location, which does not reflect the overall state of infection prevention and control-related policies and preparedness for outbreaks, epidemics and pandemics in U.S. home health agencies.

To address this knowledge gap and provide evidence to guide future decision-making related to infection prevention and control in home health care, we conducted a national survey of infection prevention and control-related policies and procedures in U.S. home health agencies, and analyzed our results by urban/rural location of the agency. This study was conducted in the months prior to the SARS-CoV-2 pandemic, with data collection ending in late December 2019, thereby giving insight into the level of preparedness among home health agencies to care for patients with COVID-19.

2. Methods

2.1. Sample

A cross-sectional agency-level survey (available upon request) of a stratified, random sample of U.S. home health agencies was conducted. Agencies were identified from the June 2018 Provider of Services file (Centers for Medicare, and Medicaid Services 2020) and were included if: 1) they were located in the 50 U.S. states, the District of Columbia, or Puerto Rico, 2) were eligible to participate in Medicare, and 3) had an active provider status. The universe of home health agencies totaled 11,549 agencies in 2018. We stratified the universe by Census region (e.g., Northeast, South, Midwest, West), agency ownership (i.e., nonprofit, for-profit, and government), and rural/urban location. Proportional sampling was used for each strata, with the exception of urban and rural location; rural agencies were oversampled at a 2:1 ratio. The survey was fielded to a stratified, random sample of 1506 agencies, and 536 complete responses were returned (35.6% response rate).

2.2. Data collection

Data collection occurred from November 9, 2018 through December 31, 2019. Using previously successful methods (Stone et al., 2019), recruitment occurred in six waves (of approximately 250 agencies each). The Administrator or Director of Nursing (DON)/Clinical Manager at each agency was mailed an invitation letter with instructions for survey completion and a paper copy of the survey. Respondents were given the option to respond via paper or online. Incentives included $25 gift cards for all completed surveys, as well as inclusion in iPad or $100 lotteries for those who completed the survey within two to three weeks. Online surveys were administered via Qualtrics CoreXM™ (Provo, UT), and once received, paper-based surveys were entered into the Qualtrics survey software. Accuracy of data entry was checked through double data entry of a random sample of 8% of the paper-based surveys. Online and paper-based survey data were then combined into a single analytical dataset.

2.3. Measures

The survey was adapted from previous work in nursing homes (Stone et al., 2019), recommendations for infection prevention and control in home health agencies (Healthcare Infection Control Practices Advisory Committee 2017), a review of published home health as well as federal surveys examining staffing and resources in home health agencies (Kenneley, 2012; Gershon et al., 2009; Gershon et al., 2007; National Center for Health Statistics 2015). Content validity was examined by our research team and experts on infection prevention and control in home healthcare. We also refined the survey after conducting qualitative interviews with home health staff (Chastain et al., 2019, Pogorzelska-Maziarz et al., 2020). We piloted the paper version of the survey with home health agencies (n = 7) and respondents were asked to “think aloud” when completing and make notations. The survey was further refined after feedback from pilot study respondents to reduce both respondent burden and response error.

The final survey included sections on infection prevention and control infrastructure (staffing, three items; resources, four items; staff training/monitoring, seven items), general infection prevention and control policies and procedures (nine items), specific infection prevention and control policies (ventilator-related, urinary catheter-related, intravenous catheter-related, deep tissue infection, respiratory infection, each one item), and staff vaccination policies (three items). The survey also collected characteristics of personnel in charge of infection prevention and control at responding agencies, including education, clinical licensure and infection prevention and control training.

Using the CMS Certification Number (CCN), our survey data was linked to the publicly-available 2018 Provider of Services file, Home Health Compare, and the Home Health Care Consumer Assessment of Healthcare Providers and Systems (HHCAHPS) survey data (Centers for Medicare and Medicaid Services). The Provider of Services data contain staffing, organizational characteristics, and geographical information for Medicare-approved home health agencies. Home Health Compare data include the measures of quality of patient care from Outcome and Assessment Information Set (OASIS) and Medicare claims. The HHCAHPS data include measures of patient experience. Both Home Health Compare and HHCAHPS are used to generate Home Health Star Ratings for Medicare-certified home health agencies (Centers for Medicare, and Medicaid Services 2020).

2.4. Statistical analyses

Surveys with 50% or more of the questions completed are included in these analyses (n = 536). We constructed probability weights to account for sample design and nonresponse by calculating the inverse of the probability an agency was sampled and returned the survey. We calculated weighted frequencies, means and standard deviations (SD) to compare strata measures and other agency characteristics (from Provider of Services, Home Health Compare and HHCAHPS) from survey respondents (n = 536) and the universe of home health agencies (n = 11,549) to identify potential sampling and nonresponse bias. We used Pearson's χ2, Fisher's exact, t-tests or linear regression to compare means, as appropriate. To identify any differences by urban/rural location, we also compared measures of infection prevention and control infrastructure, policies and procedures between rural and urban agencies with Pearson's χ2, Fisher's exact or t-tests, using weighted estimates. All statistical analyses were conducted using survey data analysis procedures in Stata 13 (StataCorp LLC, College Station, TX).

2.5. Ethics approval

The agency-level survey procedures were reviewed by our Institutional Review Boards and were deemed to be exempt.

3. Results

Table 1 provides a comparison between the sample universe (n = 11,549) and the respondents (n = 536). A comparison of the unweighted respondent estimates to the universe of U.S. agencies shows the influence of our sample design, in particular the substantial oversampling of rural agencies. The weighted survey estimates of strata characteristics match the those of the universe by construction, and the weighted survey estimates for the remaining agency characteristics are not statistically significantly different from the national figures. A majority of responding home health agencies were located in urban areas and in the South Census region, similar to the nationwide distribution of U.S. agencies. Most agencies had for-profit ownership; few had either hospital or Visiting Nurse Association oversight. The majority of nurse staffing was comprised of registered nurses (RNs). Quality of Patient Care Star Ratings and HHCAHPS Summary Star Ratings averaged 3.34 and 3.74, respectively.

Table 1.

Comparison of strata and agency characteristics for U.S. home health agencies and survey respondents, 2018.

Universe of U.S. Agencies (n = 11,549) Survey Respondents (n = 536)
Unweighted Weighted Unweighted
% % p-value %
Strata Characteristics
  Rural 14.8 14.8 * 39.7
  Urban 85.2 85.2 * 60.3
  Census region
     Northeast (including Puerto Rico) 9.4 9.4 * 11.6
     Midwest 26.8 26.8 * 28.7
     South 43.9 43.9 * 40.9
     West 19.9 19.9 * 18.7
  Ownership
     For-profit 81.4 81.4 * 64.4
     Nonprofit 14.8 14.8 * 27.3
     Government 3.8 3.8 * 8.4
Agency Characteristics
  Agency Oversight
     Hospital 6.8 8.6 0.08 17.0
     Visiting Nurse Association 4.9 7.0 0.08 8.0
  Medicare Only 21.6 18.0 0.06 14.7
  Operates Medicare Hospice 5.6 5.3 0.72 8.8
  Part of a System of Branches 13.7 15.1 0.40 17.4
  Services Provided In-House
     Nursing Services 92.2 91.3 0.54 92.4
     Home Health Aide Services 85.7 86.7 0.58 88.4
Mean (SD) Mean (SD) p-value, Mean (SD)

  Nurse Staffing
     % RN 58.7 (23.9) 57.6 (25.6) 0.40 59.4 (24.1)
     % LPN/LVN 20.4 (19.8) 19.7 (19.6) 0.50 17.1 (18.4)
     % Home Health Aides 20.9 (20.6) 22.7 (23.3) 0.14 23.5 (21.9)
  QoPC Star Rating 3.27 (0.93) 3.34 (0.92) 0.20 3.27 (0.88)
  HHCAHPS Summary Star Rating 3.70 (0.97) 3.74 (0.93) 0.54 3.93 (0.87)

LPN/LVN = Licensed Practical Nurse/Licensed Vocational Nurse; RN = Registered Nurse; QoPC = Quality of Patient Care; HHCAHPS = Home Health Care Consumer Assessment of Healthcare Providers and Systems. Strata characteristics are measures used to define sampling strata.

p = 1.00; weighted estimates for variables used for probability weights are equal to universe of U.S. agencies.

p-values, generated using regression, are a test of equivalence of the U.S. agencies and weighted survey respondents and are significant at α < 0.05.

20.4% and 46.4% of agencies had missing values for QoPC Star Rating and HHCAHPS Summary Star Rating, respectively.

The weighted nationally-representative data on infection prevention and control program staffing are presented in Table 2 . Personnel in charge of infection prevention and control at home health agencies are mostly employed full-time (83.0%), licensed as an RN or nurse practitioner (NP) (93.6%), and likely to have a bachelor's degree (55.3%). Infection control personnel from 63.9% of agencies have specific training in infection prevention and control. Nationwide, only 6.8% (data not shown) of personnel in charge of infection prevention and control are Certified in Infection Control (CIC) by the Certification Board of Infection Control and Epidemiology, Inc. Compared to those at urban agencies, rural agencies have a higher proportion of infection control personnel that are licensed practical or vocational nurses (LPN/LVNs) (6.8% vs. 2.4%, p = 0.023); personnel in rural areas are also more likely to have an associate degree (40.8% vs. 19.4%, p < 0.001), and to have no specific infection prevention and control training (46.8% vs, 34.3%, p = 0.009). Typically, infection prevention and control personnel have other responsibilities at their agencies such as supervision of clinical services/patient coordination (63%), quality improvement (59.5%), education/training (55.5%), or clinical administration (54.5%). Very few home health agencies (0.5%, data not shown) have a person in charge of infection prevention and control with no additional responsibilities. Regarding infection prevention and control-related activities at agencies, staff education (85.7%), collecting/reporting infection data (81.7%), and monitoring staff adherence to infection prevention and control policies (72.1%) were reported as taking up the most time. Rural agencies appear to spend more time on vaccination of patients than urban agencies (21.2% vs. 13.7%, p = 0.028).

Table 2.

Infection prevention and control staffing and personnel characteristics by urban/rural location, weighted estimates.

%
Total Urban Rural p-value
Type of Employment
   Full-time 83.0 81.9 89.5 0.024
   Part-Time 14.1 15.3 6.7 0.005
Clinical Licensure
   RN/NP 93.6 93.9 92.3 0.52
   LPN/LVN 3.0 2.4 6.8 0.023
Level of Education
   Associates 22.5 19.4 40.8 <0.001
   Bachelors 55.3 57.0 45.4 0.014
   Masters and above 16.4 18.1 6.4 <0.001
IPC Training or Certification
   Specific IPC training/certification received 63.9 65.7 53.2 0.009
   No specific IPC training 36.1 34.3 46.8 0.009
Responsibilities in Addition to IPC*
   Supervision of Clinical Services/Patient Coordination 63.0 65.1 51.0 0.002
   Quality Improvement 59.5 60.3 54.8 0.22
   Education/Training 55.5 56.7 48.2 0.06
   Clinical Administration/Management 54.5 55.3 49.9 0.24
   No one in charge of IPC at the agency 5.5 5.0 8.3 0.14
Mean (SD) p-value
Time Devoted to IPC, Hours 8.4 (30.25) 8.7 (27.46) 6.7 (14.52) 0.34
% p-value
Most Time-Consuming IPC Activities*
   Staff Education 85.7 86.6 80.7 0.07
   Collecting/reporting infection data 81.7 81.2 84.5 0.33
   Monitoring staff adherence to policy 72.1 73.1 66.4 0.13
   IPC policy development 26.7 26.0 31.0 0.22
   Monitoring staff vaccinations 16.1 16.5 13.7 0.39
   Vaccination of patients 14.8 13.7 21.2 0.028

IPC, infection prevention and control; LPN, licensed professional nurse; LVN, licensed vocational nurse; RN, registered nurse; NP, nurse practitioner. All data shown are weighted. % are column percentages. p-values are significant at α < 0.05. Totals varied due to missing data or skip patterns.

Column totals may not add to 100% since response choices were select all that apply.

Column totals may not add to 100% since responses were mutually exclusive but Other and Don't Know categories are not shown.

Table 3 displays the weighted infection prevention and control-related infrastructure and policies. About 71% home health agencies have a committee that reviews infection prevention and control-related activities or issues, and those committees typically meet on a monthly or quarterly basis. Only 26.6% of the agencies require staff flu vaccinations to work, and over half offer flu vaccination to their staff for free. Fewer than 30% of agencies report that their staff vaccination rates were higher than 95% during the last flu season. Rural agencies have higher vaccination rates and are significantly more likely to provide vaccinations on-site or for free than urban agencies. Almost half of agencies have a policy prohibiting staff from wearing artificial nails. The vast majority of agencies (97.6%) have specific policies related to wound care, and most (78.6%) have policies related patient education on pneumonia prevention. Nearly all agencies admit patients with urinary catheters (98.6%) or IVs/central lines (87.5%), and the vast majority have relevant policies in place for those medical devices. However, less than half of U.S. agencies accept patients requiring ventilation; of the agencies that care for ventilated patients, one-quarter do not have specific infection prevention and control policies related to ventilators, and this differs significantly by urban and rural location (20.8% vs. 40.9%, p < 0.001).

Table 3.

Infection prevention and control-related organizational structures, policies and procedures by urban/rural location, weighted estimates.

%
Total Urban Rural p-value
Agency Committee for IC-Related Activities or Issues
   Yes 70.5 71.7 63.8 0.06
   Not currently, but plans to develop one in the next year 9.6 9.6 10.1 0.85
   Not currently, and no plans to develop one 15.5 14.8 19.5 0.17
Frequency of IC Committee Meetings
   Annually or biannually 6.4 6.7 4.7 0.44
   Quarterly 66.0 65.4 69.9 0.39
   Monthly or more 22.0 22.6 18.5 0.42
Agency Policies for Staff Flu Vaccination*
   Declination statement required if vaccine refused 56.4 56.3 56.9 0.90
   Vaccinations offered for free 51.3 46.9 76.4 <0.001
   Vaccinations offered on site 46.5 42.3 70.6 <0.001
   Staff must wear mask during flu season if refused vaccine 31.0 30.1 36.2 0.15
   Requiring vaccinations to work 26.6 26.1 29.4 0.41
   No policies to encourage staff flu vaccinations 13.8 15.3 4.9 <0.001
Percentage of Staff Vaccinated During Last Flu Season
    ≥95% 26.4 24.0 40.4 <0.001
    75–94% 31.7 32.3 28.2 0.33
    25–74% 20.2 20.4 18.7 0.63
    <25% 4.1 4.1 4.1 1.00
    Track, but do not know percentage 5.0 5.2 3.8 0.47
    Agency does not track 12.6 14.0 4.8 <0.001
Agency Prohibits Staff from Wearing Artificial Nails 49.1 47.8 56.9 0.044
Condition- and Device-Specific Policies In-Place at Agency
   Written policies for care of patients with wounds 97.6 97.5 97.8 0.85
   Written policies for patient education on prevention of pneumonia 78.6 79.2 75.1 0.61
   Agency admits patients with urinary catheters 98.6 98.5 99.2 0.48
       Written policies for care of patients with urinary catheters 97.4 97.1 99.0 0.18
   Agency admits patients with IVs/central lines 87.5 85.9 96.3 <0.001
       Written policies for care of patients with IVs/central lines 98.9 98.6 100.0 <0.001
   Agency admits ventilated patients 48.1 47.5 51.5 0.40
       Written policies for care of ventilated patients 75.9 79.2 59.1 <0.001
Antibiotic Stewardship Procedure or Program*
   Collect data on antibiotic use among agency patients 65.8 65.6 67.1 0.73
   Notify clinical staff about antibiotics prescribed to agency patients 60.7 61.4 56.6 0.29
   Notify primary MD/NP about antibiotics prescribed to agency patients 54.4 54.1 56.0 0.67
   Training and/or education to improve antibiotic stewardship 40.9 40.7 42.0 0.78
   Case review to assess appropriateness of antibiotic administration  and/or indication 37.6 38.8 30.8 0.07
   Use of guidelines for clinicians to prescribe antibiotics 21.7 22.8 15.5 0.045

IC, infection control; MD, doctor of medicine; NP, nurse practitioner; IV, intravenous therapy. All data shown are weighted.% are column percentages. p-values are significant at α < 0.05. Totals varied due to missing data or skip patterns. Column totals may not add to 100% due to:.

Column totals may not add to 100% since response choices were select all that apply.

Column totals may not add to 100% since responses were mutually exclusive but Other and Don't Know categories are not shown.

Most agencies collect data on antibiotic use (65.8%) and notify primary care providers and agency clinical staff about prescribed antibiotics (54.4–60.7%). About 41% provide antibiotic stewardship training, however, only 21.7% of agencies use guidelines for clinicians to prescribe antibiotics.

Infection prevention and control-related processes and resources are described in Table 4 . The vast majority of home health agencies collect and review infection data on a quarterly basis or more frequently. Agencies use a combination of methods to determine infections; however, most agencies assess patients’ risk factors for infection (90.7%). Several agencies report that urinary tract infections pose the greatest infection control challenge (67.3%), and the greatest infection prevention and control practice challenges facing most agencies are collecting and reporting infection data, poor infection prevention and control policy and procedure adherence (e.g., bag technique), and inadequate field staffing coverage. Almost all agencies provide clinicians with basic infection prevention and control supplies. However, only 39.7% of home health agencies provide their staff with N95 respirators; rural agencies are significantly more likely to provide these supplies compared to urban agencies (50.7% vs. 37.7%, p = 0.004). While more than half of agencies provide access to a clinical procedures manual and have financially supported their staff to attend conferences (during the past 2 years), less than 20% of agencies have supported attendance to specific infection prevention and control-related conferences.

Table 4.

Infection control and prevention-related processes and resources by urban/rural location, weighted estimates.

%
Total Urban Rural p-value
Agency Collects and Reviews Infection Data 88.1 87.9 89.2 0.64
Frequency of Infection Data Review
   Annually 3.3 3.5 2.2 0.41
   Quarterly 57.1 58.7 47.8 0.024
   Monthly or more 38.7 37.0 48.2 0.019
Information Used to Determine Patient Infections*
   Provider diagnosis 83.7 82.9 88.1 0.13
   New antibiotic prescription 82.4 82.0 84.8 0.44
   Standard definitions or criteria 65.6 65.2 68.1 0.53
   Clinical cultures 65.6 63.8 75.6 0.009
Assessments Performed to Evaluate–*
   Infection risk factors 90.7 90.9 89.1 0.48
   Non-compliance with IPC 74.3 75.2 68.8 0.11
   Health status of others in home 51.9 52.7 47.6 0.26
   Home environmental factors 5.2 5.2 5.4 0.92
   No assessments performed 3.4 3.0 5.9 0.09
Infection/Organism Posing Greatest IPC Challenge
   Urinary tract infections 67.3 67.4 66.9 0.90
   Catheter-associated urinary tract infections 11.2 11.2 11.2 0.99
    C. difficile 6.0 6.2 4.8 0.50
   Upper respiratory infections 3.0 3.1 2.2 0.54
   Wound infections 2.3 2.5 1.6 0.52
   Other (MRSA, CLABSI, etc.) 1.0 0.7 3.1 0.022
   No current challenges 1.5 1.4 2.0 0.57
Aspects of IPC Posing Greatest Challenge
   Collecting/reporting infection data 32.6 32.0 36.3 0.32
   Adherence to and monitoring bag technique 16.8 16.0 21.6 0.11
   Adequate field staffing coverage 16.5 16.8 14.4 0.46
   Adherence to and monitoring hand hygiene/standard precautions 16.2 16.8 13.0 0.25
   Managing MDROs and C. difficile 10.4 10.7 8.6 0.41
IPC Supplies Routinely Provided to Clinical Staff*
   Gloves/gowns/aprons/masks/eye protection 99.1 98.9 100.0 0.46
   Sharps containers 93.4 92.9 96.6 0.08
   Safety syringes/needles 82.0 79.4 96.7 <0.001
   Blood spill kit 55.1 53.3 65.4 0.007
   N95 respirators 39.7 37.7 50.7 0.004
   MRSA kit 25.4 25.6 24.5 0.77
Financial Resources Used in Last 2 Years For—*
   Access to clinical procedures manual 58.7 58.3 60.8 0.58
   Staff attendance at conferences 56.1 55.8 57.8 0.66
   On-site IPC training by external entity 31.3 32.4 25.0 0.07
   Access to expert IPC consultation 19.5 19.7 18.0 0.62
   Staff attendance at IPC conferences 18.6 19.1 15.6 0.31
   Webinars/online training 3.6 3.8 2.9 0.56
   No financial resources provided 14.3 14.5 13.0 0.62

IPC, infection prevention and control; MRSA, methicillin-resistant S. aureus; CLABSI, central line-associated bloodstream infection; MDRO, multidrug resistant organism. All data shown are weighted.% are column percentages. p-values are significant at α < 0.05. Totals varied due to missing data or skip patterns.

Column totals may not add to 100% since response choices were select all that apply.

Column totals may not add to 100% since responses were mutually exclusive but Other and Don't Know categories are not shown.

Table 5 summarizes infection prevention and control training and monitoring. Most agencies provide face-to-face training on infection prevention and control policies and procedures (91.1%), supplemented by computer-based tools (65.3%), knowledge assessments (56.8%) and field shadowing (56.6%). The training is usually provided at new employee orientations and is reinforced annually or biannually. Only 37.4% of agencies provide infection prevention and control training for their staff quarterly or more frequently. Almost half of agencies provide additional training when an infection prevention and control issue or outbreak arises. Trainings cover a variety of topics from hand hygiene (89.7%) to environmental cleaning (51.4%). When measuring staff adherence to general infection prevention and control policies, agencies primarily use competency testing (30.9%) and supervisory visits (26.8%). Similarly, shadowing agency staff in the field (83.7%) and knowledge assessments (75%) are common methods of monitoring adherence to hand hygiene policies.

Table 5.

Infection prevention and control staff training and monitoring by urban/rural location, weighted estimates.

%
Total Urban Rural p-value
Training Modality*
   Face-to-face training (in-services, skills fairs) 91.1 91.4 89.8 0.56
   Computer-based training tools (e.g. online education, DVDs, videos) 65.3 62.8 79.8 <0.001
   Knowledge assessment 56.8 58.1 49.1 0.045
   Shadowing in the field 56.6 57.4 52.3 0.26
Training Frequency*
   At new employee orientation 61.0 60.3 64.9 0.30
   Annually or biannually 64.1 62.9 70.9 0.06
   Quarterly 23.8 24.4 20.4 0.29
   Monthly or more frequently 13.6 13.9 12.3 0.62
   When an infection control issues/outbreak arises 47.4 46.9 50.2 0.46
Training Topics*
   Hand hygiene 89.7 90.1 87.7 0.41
   Practices appropriate to the patient 77.1 76.2 82.2 0.11
   Signs and symptoms of infections 73.4 74.2 69.3 0.22
   Transmission precautions 67.5 66.5 72.7 0.14
   Environmental cleaning 51.4 50.5 57.0 0.15
   No IPC topics covered 1.2 1.1 1.8 0.53
Method of Measuring Adherence to IPC Policies*
   General competency testing/assessment/demonstration 30.9 31.2 28.7 0.57
   Supervisory visits (un/announced) & evaluations 26.8 28.0 19.6 0.045
   Shadowing/observation/tracer 25.1 23.4 35.4 0.006
   Monitoring of infections through data via chart audits/logs/forms 17.0 17.2 15.6 0.66
   Skills fairs 4.6 4.9 2.4 0.18
   Hand hygiene monitoring tool/audits 4.1 3.7 6.1 0.22
   Patient surveys/calls 3.3 2.7 6.9 0.041
   Training/observation upon hire 2.3 2.7 0.0 <0.001
   Bag technique audits 1.9 1.5 4.0 0.09
   Other procedure 35.8 35.3 39.0 0.43
Agency Measures Adherence to Hand Hygiene Policies 81.7 81.3 83.8 0.48
   Method of Monitoring Adherence to Hand Hygiene Policies*
       Shadowing in the field 83.7 83.2 86.4 0.39
       Knowledge assessment 75.0 76.2 68.7 0.09
       Other procedure 10.1 10.1 10.0 1.00

IPC, infection prevention and control. All data shown are weighted.% are column percentages. p-values are significant at α < 0.05. Totals varied due to missing data or skip patterns.

Column totals may not add to 100% since response choices were select all that apply.

4. Discussion

Our paper provides an overview of infection prevention and control in U.S. home health agencies prior to the SARS-CoV-2 pandemic. Since we finished survey data collection just as the novel coronavirus was emerging, our findings are particularly relevant regarding U.S. home health agency readiness for infectious disease outbreaks, infection prevention and control policies related to ventilators, personal protective equipment, and influenza vaccination (for both patients and staff). Consistent with a previous study (Kenneley, 2012), we found that the overwhelming majority of agencies do not have a full-time staff member dedicated to infection prevention and control. Personnel in charge of infection prevention and control usually have many other responsibilities and over one-third of infection prevention and control personnel have no formal training in infection prevention. These findings demonstrate a potential weakness in the ability of a home health agency to respond appropriately to infection outbreaks, and educate staff, patients, their families and/or caregivers about infection prevention and control.

With respect to infection prevention and control infrastructure, almost all agencies provide gowns, gloves, eye protection, and surgical masks to their clinical staff. However, under non-pandemic conditions, less than half of U.S. agencies provide their employees with N95 respirators. Urban agencies are significantly less likely to provide respirators to their staff compared to those in rural locations. During the SARS-CoV-2 pandemic, urban home health clinicians may be at increased risk of exposure and transmitting virus with fewer protections and increased reliance on public transportation to visit patients. This is very concerning, especially on top of the personal protective equipment shortages that the U.S. healthcare organizations have reported throughout the pandemic, including home health agencies (National Association for Home Care and Hospice 2020). Home health clinicians are on the front lines of delivering healthcare to the most vulnerable; some may be vulnerable themselves due to preexisting health conditions and most appear to have been at a disadvantage even at the onset of the outbreak (Jamison, 2020).

We found that agencies have challenges with adherence to and monitoring of nursing bag technique, which is a unique dilemma in the home health care setting. Nursing bags, which are used by home health clinicians to carry supplies into homes, may contribute to infection transmission between patient homes by serving as a fomite for multidrug-resistant and emerging organisms (e.g., SARS-CoV-2) (Bakunas-Kenneley and Madigan, 2009). A previous study found that 84% of the outside and 48.4% of the inside of nursing bags contain human pathogens, including 15.9% and 6.3% multi-drug resistant organisms, respectively (Bakunas-Kenneley and Madigan, 2009), suggesting that bag technique adherence is crucial to infection prevention and control in home health care.

Agencies also report challenges in collecting and reporting infection data. Unlike in the hospital setting, laboratory technology and medical examination services are not readily available for home health clinicians, making infection diagnoses more difficult. Accurately diagnosing and reporting infections is a critical step in establishing an infection surveillance system, which has shown to help reduce healthcare-associated infections in hospital settings (Storr et al., 2017). However, this challenge, raised by experts decades ago, remains unsolved. A majority of home health personnel must rely on physician or nurse practitioner diagnoses and antibiotic prescriptions to determine infection cases. In a survey conducted with a convenience sample in mid-April 2020 (Shang et al., 2020), researchers found that only 12.4% of U.S. agencies have capacity to test patients for COVID-19. While access to testing has increased since that survey was fielded, differences still remain across states and types of healthcare providers (Goodnough et al., 2020). Future research should investigate how to improve diagnostics and reporting of infections in home health care, particularly during outbreaks of novel infectious organisms.

Reduced access to testing and test results also contributes to inadequate antibiotic stewardship in home health care. Only about 22% of U.S. home health agencies implement recommended guidelines when administering antibiotics. In home health care, antibiotics are often prescribed based on signs and symptoms without culture data due to the health care setting and limited resources (McGoldrick, 2014). These can lead to antimicrobial resistance, which is a serious threat to global health and contributes yearly to 500,000 suspected bacterial infections in 22 countries (World Health Organization 2018). While improving home health care capacity of point-of-care testing is critical, home health infection prevention and control experts also suggest that frequent and quality patient and caregiver education on antibiotics, as well as medication reconciliation and monitoring using antibiotic logs can help reduce risks of developing antibiotic-resistant infections (Rhinehart and McGoldrick, 2006; McGoldrick, 2014).

Encouragingly, a majority of U.S. home health agencies have committees to create new and review existing infection prevention and control policies and procedures, and those committees appear to meet frequently. Agencies have various infection-specific policies and procedures in place, and there are some significant differences by urban/rural location. Some of this variation can be due to the lack of standardized infection prevention and control guidelines for the home health care setting (Castellucci, 2018), causing agencies to craft their own policies and procedures. With respect to home health care capacity to care for patients diagnosed with COVID-19, only half of U.S. agencies accept patients requiring ventilation, and of those, a quarter do not have specific infection prevention and control policies for ventilated patients. Among rural agencies, 41% do not have written infection prevention and control policies in place for ventilator care. Additionally, we found about 20% of U.S. agencies do not have a written policy for patient education regarding prevention of pneumonia. This is of great concern especially during the SARS-CoV-2 pandemic since effective self-management of symptoms is critical for the recovery of self-isolating patients.

Lastly, we found that flu vaccination rates among home health personnel are alarmingly low. Since influenza can lead to respiratory infections and is one of the main causes of mortality in older adults (Simonsen et al., 1998), Healthy People 2020 set a target for flu vaccinations among healthcare workers at 90% (Office of Disease Prevention and Health Promotion 2010). Professional organizations, including the American Nursing Association, strongly support influenza vaccination requirements for registered nurses and other healthcare workers (Nursing Practice, and Work Environment Department 2015). Despite this support, vaccination rates among healthcare workers remain suboptimal, especially in non-hospital settings (Centers for Disease Control and Prevention 2018). Mandatory vaccination requirements may offer the ultimate solution. However, these have not been implemented among healthcare workers due to multiple barriers (Field, 2009). The Centers for Disease Control and Prevention (CDC) suggests that offering incentives such as free vaccinations and providing vaccinations on site can promote higher vaccination rates among healthcare workers (Centers for Disease Control and Prevention). However, in our survey, we found that approximately half of U.S. agencies offer vaccinations onsite or for free for their employees. Future research should explore more effective ways to improve home healthcare personnel vaccination rates.

We compared infection prevention and control policies and processes between rural and urban agencies and found that, while location did not affect an agency's capacity to care for ventilated patients, there were significant differences regarding whether rural agencies had policies in place to care for those patients. In the context of the SARS-CoV-2 pandemic, this finding is concerning since rural populations in the U.S. are typically older and suffer from multiple chronic conditions (Centers for Disease Control and Prevention 2017). However, we did find that rural agencies outperform urban agencies in terms of staff vaccination rates. These findings are opposite to the usual rural-urban vaccination gaps among the general population (Talbert et al., 2018). Individuals living in rural areas still heavily depend on traditional clinical settings for vaccination (Bennett et al., 2011). The limited resources in rural areas may trigger home health agencies to provide more vaccination opportunities for their staff, as there are fewer vaccination sites.

While this study contributes to our understanding of infection prevention and control in U.S. home health agencies, there are limitations due to the use of self-reported data, which is susceptible to recall and social desirability biases (Fielding, 2006). However, the confidential nature in which our survey data were collected helped mitigate those threats to validity. Nevertheless, our respondents may differ from the non-respondents in various ways. To minimize this potential bias, we created weights to account for sample design and non-response such that the sample would generate nationally-representative estimates of our variables of interest. Additionally, the response rate in our survey (35.6%) was lower than typically found in other healthcare settings (Stone et al., 2019; Stone et al., 2009; Herzig et al., 2016). Home health care agencies are especially hard to reach population; despite our persistent recruiting efforts (multiple calls and emails following the initial recruitment email or letter), we encountered some recruitment challenges (e.g., agency closures, turnover of staff, fewer agencies use email) with this survey. Prior surveys in the home health care setting had much lower response rates (ranging from 7.1%−9.2%) (Kenneley, 2012; National Center for Health Statistics 2015). A few home health care studies reached slightly higher response rates (up to 44%) (Gershon et al., 2009; Gershon et al., 2007) than our survey. However, they target individual home health care clinicians and are based on convenient samples; our survey was agency-level and a random sample was used. Despite these challenges, it is unlikely that the non-respondents are fundamentally different from our respondents in their practices. As demonstrated in Table 1, there are no statistically significant differences between our unweighted survey respondents and the universe of agencies, particularly regarding the Quality of Patient Care Star Ratings and HHCAHPS Summary Star Rating, which are designed to measure agencies’ practice and outcomes. The moderate ratings (3.27 and 3.70 on a 5-star rating scale) from both rating systems correspond to the suboptimal infection prevention and control practices found in our survey. Nevertheless, we acknowledge that our results should be interpreted within the context of the low response rate.

5. Conclusions

This is the first national survey of infection prevention and control-related policies and procedures in the home healthcare setting, which included U.S. agencies in all 50 states, the District of Columbia, and Puerto Rico. We found that infection prevention and control in home healthcare is suboptimal (based on existing guidance primarily derived from hospital settings (Rhinehart and McGoldrick, 2006)) and infection prevention and control policies and procedures vary between agencies, especially among those in urban and rural locations. Personnel in charge of infection prevention and control at agencies have multiple responsibilities and lack adequate training. U.S. home health agencies will need to strengthen their capacity and quickly adjust their existing policies to respond to the SARS-CoV-2 pandemic. In addition to staffing, personal protective equipment shortages remain a major concern, especially since many agencies appear to have entered the current pandemic situation without adequate supplies. Home health agencies also need to improve influenza vaccination coverage among their staff, which can reduce workplace absences, as well as protect their patients and improve patient outcomes.

CRediT authorship contribution statement

Shang Jingjing: Funding acquisition, Conceptualization, Project administration, Supervision, Methodology, Writing - original draft. Ashley M. Chastain: Supervision, Project administration, Investigation, Resources, Data curation, Formal analysis, Visualization, Writing - original draft. Uduwanage Gayani E. Perera: Software, Formal analysis, Visualization. Andrew W. Dick: Funding acquisition, Conceptualization, Project administration, Supervision, Methodology, Writing - review & editing. Caroline J. Fu: Software, Data curation, Formal analysis, Visualization. Elizabeth A. Madigan: Methodology, Writing - review & editing. Monika Pogorzelska-Maziarz: Funding acquisition, Conceptualization, Methodology, Writing - review & editing. Patricia W. Stone: Funding acquisition, Conceptualization, Project administration, Supervision, Methodology, Writing - review & editing.

Acknowledgments

Conflict of interest

None.

Funding

This research was funded by the National Institutes of Health: National Institute of Nursing Research and the Office of the Director (R01NR016865), and the Alliance for Home Health Quality and Innovation (AHHQI). All content is the sole responsibility of the authors and does not necessarily represent the official views of the study sponsors.

Ethical Approval

None.

Acknowledgments

We would like to thank the home health administrators, clinical managers, directors of nursing, and other agency staff who participated in this survey, as well as our recruiting team (Richawna Cassie, Leah Estrada, Sabrina Mangal, Marietta Ojo, Stephen Powers, and Asia Taylor).

Data Sharing Statement

Survey instrument, deidentified survey dataset and data dictionary is available upon request, after approval of proposal and with a signed data access agreement, at the end of the study period (July 1, 2021) from js4032@cumc.columbia.edu or http://nursing.columbia.edu/research/InHome.

Footnotes

Supplementary material associated with this article can be found, in the online version, at doi:10.1016/j.ijnurstu.2020.103841.

Appendix. Supplementary materials

mmc1.xml (249B, xml)

References

  1. Avalere Health, Alliance for Home Health Quality and Innovation. Home Health Chartbook 2019: prepared for the Alliance for Home Health Quality and Innovation. 2019. http://ahhqi.org/images/uploads/AHHQI_2019_Home_Health_Chartbook_Final_Updated_10.3.2019.pdf (Accessed 27 March 2020).
  2. Bakunas-Kenneley I., Madigan E.A. Infection prevention and control in home health care: the nurse's bag. Am. J. Infect. Control. 2009;37:687–688. doi: 10.1016/j.ajic.2009.03.004. [DOI] [PubMed] [Google Scholar]
  3. Bennett K.J., Pumkam C., Probst J.C. Rural-urban differences in the location of influenza vaccine administration. Vaccine. 2011;29:5970–5977. doi: 10.1016/j.vaccine.2011.06.038. [DOI] [PubMed] [Google Scholar]
  4. Castellucci M. Home healthcare providers' infection prevention efforts hampered by dearth of data, tools. Mod. Healthc. 2018 https://www.modernhealthcare.com/article/20180421/NEWS/180429996/home-healthcare-providers-infection-prevention-efforts-hampered-by-dearth-of-data-tools published online Apr 21. (Accessed 16 July 2020) [Google Scholar]
  5. Center for Clinical Standards and Quality/Quality, Safety & Oversight Group Services . QSO-20-18-HHA. 2020. Centers for Medicare & Medicaid Services. Guidance for Infection Control and Prevention Concerning Coronavirus Disease 2019 (COVID-19) in Home Health Agencies (HHAs) pp. 1–7. [Google Scholar]
  6. Centers for Disease Control and Prevention. Influenza (Flu): promoting vaccination in the workplace. https://www.cdc.gov/flu/business/promoting-vaccines-workplace.htm (Accessed 13 March 2020).
  7. Centers for Disease Control and Prevention. About rural health. 2017; published online August 2. https://www.cdc.gov/ruralhealth/about.html (Accessed 15 October 2020).
  8. Centers for Disease Control and Prevention The influenza vaccination coverage in long-term. Care Settings. 2018 https://www.cdc.gov/flu/toolkit/long-term-care/coverage.htm published online Oct 31. (Accessed 16 July 2020) [Google Scholar]
  9. Centers for Medicare & Medicaid Services. Home Health Compare Archived Datasets. https://data.medicare.gov/data/archives/home-health-compare (Accessed 17 Oct 2018).
  10. Centers for Medicare & Medicaid Services U.S. Department of Health & Human Services. Medicare and Medicaid Programs; Emergency Preparedness Requirements for Medicare and Medicaid Participating Providers and Suppliers, 42 CFR § 403, 416, 418, 441, 460, 482, 483, 484, 485, 486, 491, and 494. Fed. Regist. 2016;(81):63860–64044. [Google Scholar]
  11. Centers for Medicare & Medicaid Services. Home Health Star Ratings. 2020; published online Jan 6. https://www.cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-Instruments/HomeHealthQualityInits/HHQIHomeHealthStarRatings (Accessed 30 Jan 2020).
  12. Centers for Medicare & Medicaid Services. Provider of Services Current Files [Datasets]. 2020. https://www.cms.gov/Research-Statistics-Data-and-Systems/Downloadable-Public-Use-Files/Provider-of-Services/index (Accessed 17 Oct 2018).
  13. Centers for Medicare & Medicaid Services. Additional Background: sweeping Regulatory Changes to Help U.S. Healthcare System Address COVID-19 Patient Surge. 2020. https://www.cms.gov/newsroom/fact-sheets/additional-backgroundsweeping-regulatory-changes-help-us-healthcare-system-address-covid-19-patient (Accessed 30 March 2020).
  14. Chastain A., Pogorzelska-Maziarz M., Stone P., Shang J. 2447. Impact of agency-level policies and priorities upon infection prevention and control in the home environment: perspectives of home health staff. Open Forum Infect. Dis. 2019;6:S846. [Google Scholar]
  15. Field R.I. Mandatory vaccination of health care workers: whose rights should come first? P T. 2009;34:615. [PMC free article] [PubMed] [Google Scholar]
  16. Fielding N.G. In: The SAGE Dictionary of Social Research Methods. Jupp V, editor. SAGE Publications, Ltd; London: 2006. Self-Report Study; pp. 276–277. [Google Scholar]
  17. Gershon R.R., Pogorzelska M., Qureshi K.A., et al. In: Henriksen K, Battles JB, Keyes MA, Grady ML, editors. Vol. 1. Agency for Health Care Research and Quality; Rockville, MD: 2008. Home health care patients and safety hazards in the home: preliminary findings.http://www.ncbi.nlm.nih.gov/pubmed/21249854 (Advances in Patient Safety: New Directions and Alternative Approaches). Assessment. [Google Scholar]
  18. Gershon R.R.M., Pearson J.M., Sherman M.F., Samar S.M., Canton A.N., Stone P.W. The prevalence and risk factors for percutaneous injuries in registered nurses in the home health care sector. Am. J. Infect. Control. 2009;37:525–533. doi: 10.1016/j.ajic.2008.10.022. [DOI] [PubMed] [Google Scholar]
  19. Gershon R.R.M., Qureshi K.A., Pogorzelska M., et al. Non-hospital based registered nurses and the risk of bloodborne pathogen exposure. Ind. Health. 2007;45:695–704. doi: 10.2486/indhealth.45.695. [DOI] [PubMed] [Google Scholar]
  20. Goodnough A., Thomas K., Kaplan S. Testing falls woefully short as Trump seeks an end to stay-at-home orders. N.Y. Times. 2020 https://www.nytimes.com/2020/04/15/us/coronavirus-testing-trump.html published online April 28. (Accessed 26 April 2020) [Google Scholar]
  21. Hartman L., Jarosek S.L., Virnig B.A., Durham S. Medicare-certified home health care: urban-rural differences in utilization. J. Rural Health. 2007;23:254–257. doi: 10.1111/j.1748-0361.2007.00098.x. [DOI] [PubMed] [Google Scholar]
  22. Healthcare Infection Control Practices Advisory Committee. Core Infection Prevention and Control Practices for Safe Healthcare Delivery in All Settings-Recommendations of the Healthcare Infection Control Practices Advisory Committee. 2017. https://www.cdc.gov/hicpac/recommendations/core-practices.html (Accessed 27 March 2020).
  23. Herzig C.T., Stone P.W., Castle N., Pogorzelska-Maziarz M., Larson E.L., Dick A.W. Infection Prevention and Control Programs in US Nursing Homes: results of a National Survey. J. Am. Med. Dir. Assoc. 2016;17(1):85–8. [DOI] [PMC free article] [PubMed]
  24. Jamison P. Home health care aides and coronavirus: caring for elderly but unprepared for COVID-19. Washington Post. 2020; published online March 24. https://www.washingtonpost.com/dc-md-va/2020/03/23/home-health-care-aides-coronavirus-elderly/ (Accessed 26 March 2020).
  25. Kassmeier M.D., Medcalf S., Hansen K., Smith P.W. Disaster preparedness and pandemic plans: a survey of Nebraska home health agencies. Disaster Med. Public Health Prep. 2013;7:182–190. doi: 10.1017/dmp.2013.11. [DOI] [PubMed] [Google Scholar]
  26. Kenneley I. Infection control in home healthcare: an exploratory study of issues for patients and providers. Home Healthc. Nurse. 2012;30:235–245. doi: 10.1097/NHH.0b013e31824adb52. [DOI] [PubMed] [Google Scholar]
  27. McGoldrick M. Antimicrobial stewardship. Home Healthc. Nurse. 2014;32:559–560. doi: 10.1097/NHH.0000000000000149. [DOI] [PubMed] [Google Scholar]
  28. National Association for Home Care and Hospice. National Study Shows Home Health Care is in a Fragile State. 2020; published online April 27. https://www.nahc.org/wp-content/uploads/2020/03/NATIONAL-STUDY-SHOWS-HOME-HEALTH-CARE-IS-IN-A-FRAGILE-STATE.pdf (Accessed 28 April 2020).
  29. National Center for Health Statistics, Centers for Disease Control and Prevention. National Home and Hospice Care Survey (NHHCS). 2015; published online Nov 6. https://www.cdc.gov/nchs/nhhcs/index.htm (Accessed 16 July 2020).
  30. Nursing Practice & Work Environment Department, American Nurses Association. American Nurses Association Position Statement on Immunizations. 2015. https://www.nursingworld.org/practice-policy/nursing-excellence/official-position-statements/id/immunizations/ (Accessed 9 March 2020).
  31. Office of Disease Prevention and Health Promotion, Department of Health and Human Services. Healthy People.gov: immunization and Infectious Diseases. 2010; published online Dec 2. http://www.healthypeople.gov/2020/topics-objectives/topic/immunization-and-infectious-diseases/objectives (Accessed 29 July 2020).
  32. Pandemic and All-Hazards Preparedness and Advancing Innovation Act of 2019 . Proceedings of the 116th Congress, 1st Session. 2019. [Google Scholar]
  33. Pogorzelska-Maziarz M., Chastain A.M., Mangal S., Stone P.W., Shang J. Home health staff perspectives on infection prevention and control: implications for coronavirus disease 2019. J. Am. Med. Dir. Assoc. 2020;21(12):1782–1790.e4. doi: 10.1016/j.jamda.2020.10.026. [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Rebmann T., Citarella B., Subramaniam D.S., Subramaniam D.P. A home health agency's pandemic preparedness and experience with the 2009 H1N1 pandemic. Am. J. Infect. Control. 2011;39:725–731. doi: 10.1016/j.ajic.2010.12.014. [DOI] [PubMed] [Google Scholar]
  35. Rhinehart E., McGoldrick M. 2nd ed. Jones and Barlett Publishers; Sudbury, PA: 2006. Infection Control in Home Care and Hospice. [Google Scholar]
  36. Shang J., Chastain A.M., Perera U.G.E., Quigley D.D., Fu C.J., Dick A.W., Pogorzelska-Maziarz M., Stone P.W. COVID-19 Preparedness Survey of U.S. Home Healthcare Agencies. JAMDA. 2020;21(7):924–927. doi: 10.1016/j.jamda.2020.06.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Shang J., Larson E., Liu J., Stone P. Infection in home health care: results from national Outcome and Assessment Information Set data. Am. J. Infect. Control. 2015;43:454–459. doi: 10.1016/j.ajic.2014.12.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Simonsen L., Clarke M.J., Schonberger L.B., Arden N.H., Cox N.J., Fukuda K. Pandemic versus epidemic influenza mortality: a pattern of changing age distribution. J. Infect. Dis. 1998;178:53–60. doi: 10.1086/515616. [DOI] [PubMed] [Google Scholar]
  39. Skillman S.M., Patterson D.G., Coulthard C., Mroz T.M. WWAMI Rural Health Research Center, University of Washington; Seattle, WA: 2016. Final Report #152. Access to Rural Home Health Services: Views from the Field. [Google Scholar]
  40. Stone P.W., Agarwal M., Ye F., Sorbero M., Miller S.C., Dick A.W. Integration of palliative care and infection management at the end of life in U.S. nursing homes. J. Pain Symptom Manage. 2019;58:408–416. doi: 10.1016/j.jpainsymman.2019.06.001. e1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Stone P.W., Dick A., Pogorzelska M., Horan T.C., Furuya E.Y., Larson E. Staffing and structure of infection prevention and control programs. Am. J. Infect. Control. 2009;37(5):351–357. doi: 10.1016/j.ajic.2008.11.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  42. Storr J., Twyman A., Zingg W., et al. Core components for effective infection prevention and control programmes: new WHO evidence-based recommendations. Antimicrob Resist Infect Control. 2017;6:1–18. doi: 10.1186/s13756-016-0149-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. Talbert J.C., Schadler A., Freeman P.R. Rural/Urban disparities in pneumococcal vaccine service delivery among the fee-for-service medicare. Population. 2018 https://uknowledge.uky.edu/ruhrc_reports/4 published online Feb. (Accessed 27 March 2020) [Google Scholar]
  44. The Joint Commission Accreditation of Healthcare Organizations. 2015 home care national patient safety goals. 2016. http://www.jointcommission.org/assets/1/6/2015_OME_NPSG_ER.pdf (Accessed 27 March 2020).
  45. The United States Conference of Mayors. Shortages of COVID-19 Emergency Equipment in U.S. Cities: a Survey of the Nation's Mayors. 2020. https://www.usmayors.org/issues/covid-19/equipment-survey/ (Accessed 27 March 2020).
  46. World Health Organization, National Institute on Aging, National Institutes of Health, U.S. Department of Health & Human Services. Global Health and Aging. 2011. https://www.who.int/ageing/publications/global_health.pdf (Accessed 1 March 2020).
  47. World Health Organization. High levels of antibiotic resistance found worldwide, new data shows. 2018; published online Jan 29. https://www.who.int/news-room/detail/29-01-2018-high-levels-of-antibiotic-resistance-found-worldwide-new-data-shows (Accessed 19 March 2020).
  48. World Health Organization. Naming the coronavirus disease (COVID-19) and the virus that causes it. 2020. https://www.who.int/emergencies/diseases/novel-coronavirus-2019/technical-guidance/naming-the-coronavirus-disease-(covid-2019)-and-the-virus-that-causes-it (Accessed 23 March 2020).

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