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Leveraging Home Health Aides to Improve Outcomes in Heart Failure

Leveraging Home Health Aides to Improve Outcomes in Heart Failure: A Pilot Randomized Controlled Trial

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT04239911
Enrollment
105
Registered
2020-01-27
Start date
2022-05-16
Completion date
2024-08-17
Last updated
2025-06-06

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Congestive Heart Failure, Heart Failure

Keywords

home health aides, home health care, home care agency

Brief summary

The purpose of the study is to determine the effectiveness of an intervention among home health aides caring for adults admitted to home care with a primary diagnosis of heart failure at VNS Health Partners in Care (home care agency). The study will examine the interventions' effect on home health aides' heart failure knowledge and confidence caring for adults with heart failure, as well as on the client's overall health (visits to the emergency department and hospital readmissions).

Detailed description

The investigator's central hypothesis is that an intervention that can optimize and improve the experience of home health aides caring for the heart failure patients has the potential to improve home health aides' own self-efficacy, heart failure knowledge, and also patient outcomes. The intervention for home health aides is comprised of a) remote classroom education on heart failure and b) an mHealth app containing HF educational content and a messaging application that connects HHAs and their nurse supervisors. This intervention requires feasibility and acceptability testing, as well as preliminary testing of its effectiveness among home health aides caring for community-dwelling adults with heart failure.

Interventions

BEHAVIORALmHealth app

The mHealth app will provide heart failure-specific education to home health aides and allow them to report clinical observations and ask nurses questions in real-time.

BEHAVIORALVirtual training course

Virtual training course on heart failure for home health aides.

Sponsors

National Heart, Lung, and Blood Institute (NHLBI)
CollaboratorNIH
Weill Medical College of Cornell University
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
HEALTH_SERVICES_RESEARCH
Masking
SINGLE (Outcomes Assessor)

Masking description

Data analyst will be blinded to study arm.

Intervention model description

104 home health aides will be recruited from VNS Health and randomized to either enhanced usual care arm (heart failure training course; n = 52) or the intervention (heart failure training course plus mHealth app; n =52). Four nurses will also be recruited to the study. The total duration of each home health aides' involvement will be 90 days.

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Home health aide employed at VNS Health Partners in Care home care agency. * 1 or more years of experience as a home health aide. * Speak English or Spanish. * Assigned to care for an adult admitted to home care with a primary diagnosis of heart failure.

Exclusion criteria

* Doesn't meet inclusion criteria.

Design outcomes

Primary

MeasureTime frameDescription
Change in Heart Failure KnowledgeBaseline (0 days); at follow-up (90 days)As measured by the Dutch Heart Failure Knowledge Scale, scores range from 0-15; higher scores indicate greater heart failure knowledge.
Change in Heart Failure Caregiving Self-efficacyBaseline (0 days); at follow-up (90 days)As measured by the Caregiver Contribution to Self-Care in Heart Failure Index, which is a 22-item scale which assesses maintenance, management, and self-efficacy sub-scales separately. Each sub-scale score ranges from 0-100, with greater scores indicating greater contribution to care or self-efficacy.

Secondary

MeasureTime frameDescription
Change in Job SatisfactionBaseline (0 days); at follow-up (90 days)As measured by the Work Domain Satisfaction Scale, which is a 5-item scale that measures: 1) job satisfaction among care workers; and 2) examines the associations with work environment factors, work stressors, and health issues. Scores range from 5-20, with higher scores indicating stronger satisfaction.
Change in Intention to LeaveBaseline (0 days); at follow-up (90 days)As measured by the Turnover Intention Scale, which is a 2-item scale that measures workers' intentions of 1) leaving their current job (at their agency) and 2) searching for a new job (in another field) in the next year. ) Responses for both included a 7-point likert scale of: very strongly disagree, strongly disagree, disagree neutral, agree, strongly agree, very strongly agree. Both questions were dichotomized into agree, strongly agree, and very strongly vs. all other responses.

Other

MeasureTime frameDescription
Number of Readmissions to the HospitalBaseline (0 days); at follow-up (90 days)All-cause readmissions to any hospital
Change in Preventable 911 CallsBaseline (0 days); at follow-up (90 days)Preventable 911 calls were assessed with 2-close ended questions that we previously used among HHAs: I have called 911 when that could have been prevented if I had been able to reach my supervisor/the nurse. and I have called 911 when that could have been prevented if my supervisor and I had been able to reach the client's doctor. Responses for both included a 7-point Likert scale of: very strongly disagree, strongly disagree, disagree neutral, agree, strongly agree, very strongly agree. Both questions dichotomized into agree, strongly agree, and very strongly vs. all other responses.
Number of Visits to the Emergency DepartmentBaseline (0 days); at follow-up (90 days)All-cause emergency department visits to any emergency department

Countries

United States

Participant flow

Participants by arm

ArmCount
Enhanced Usual Care
Home health aides in the enhanced usual care arm will receive a virtual heart failure training course. Virtual training course: Virtual training course on heart failure for home health aides.
50
Intervention Arm
Home health aides in the intervention arm will receive a virtual heart failure training course and a communication-based messaging app. mHealth app: The mHealth app will provide heart failure-specific education to home health aides and allow them to report clinical observations and ask nurses questions in real-time. Virtual training course: Virtual training course on heart failure for home health aides.
52
Total102

Withdrawals & dropouts

PeriodReasonFG000FG001
Overall StudyLost to Follow-up21

Baseline characteristics

CharacteristicTotalEnhanced Usual CareIntervention Arm
Age, Continuous54.0 years
STANDARD_DEVIATION 10.5
53.2 years
STANDARD_DEVIATION 10.9
54.8 years
STANDARD_DEVIATION 10.2
Education
College Degree
17 Participants8 Participants9 Participants
Education
Completed High School or GED
36 Participants18 Participants18 Participants
Education
Graduate Degree
7 Participants2 Participants5 Participants
Education
Missing Information on Education
1 Participants1 Participants0 Participants
Education
No Degree or Some High School
21 Participants9 Participants12 Participants
Education
Some College
20 Participants12 Participants8 Participants
Foreign-Born
Foreign-Born
88 Participants45 Participants43 Participants
Foreign-Born
US-Born
14 Participants5 Participants9 Participants
Heart Failure Training
A little
31 Participants13 Participants18 Participants
Heart Failure Training
A lot
2 Participants0 Participants2 Participants
Heart Failure Training
None
46 Participants24 Participants22 Participants
Heart Failure Training
Some
23 Participants13 Participants10 Participants
Hours per week spent with Heart Failure client
11-20 hours per week
12 Participants6 Participants6 Participants
Hours per week spent with Heart Failure client
1-5 hours per week
15 Participants9 Participants6 Participants
Hours per week spent with Heart Failure client
6-10 hours per week
34 Participants14 Participants20 Participants
Hours per week spent with Heart Failure client
Greater than 20 hours per week
25 Participants16 Participants9 Participants
Hours per week spent with Heart Failure client
Missing Information
2 Participants1 Participants1 Participants
Hours per week spent with Heart Failure client
Not Sure
14 Participants4 Participants10 Participants
Maintenance (CC SCHFI)86.7 units on a scale86.7 units on a scale86.7 units on a scale
Management (CC SCHFI)60 units on a scale60 units on a scale55 units on a scale
Number of Heart Failure Patients Cared for
greater than 5 Heart Failure Patients
18 Participants6 Participants12 Participants
Number of Heart Failure Patients Cared for
less than or equal to 5 Heart Failure Patients
65 Participants38 Participants27 Participants
Number of Heart Failure Patients Cared for
not sure
19 Participants6 Participants13 Participants
Number of Home Care Agencies worked for in the past
0-1 agency
53 Participants26 Participants27 Participants
Number of Home Care Agencies worked for in the past
2 agencies
33 Participants17 Participants16 Participants
Number of Home Care Agencies worked for in the past
greater than or equal to 3 agencies
16 Participants7 Participants9 Participants
Primary Language
English
65 Participants33 Participants32 Participants
Primary Language
Other
17 Participants6 Participants11 Participants
Primary Language
Spanish
20 Participants11 Participants9 Participants
Race/Ethnicity, Customized
African-American
62 Participants30 Participants32 Participants
Race/Ethnicity, Customized
American Indian/Alaskan Native
1 Participants1 Participants0 Participants
Race/Ethnicity, Customized
Asian
7 Participants3 Participants4 Participants
Race/Ethnicity, Customized
Missing Information on Race
2 Participants1 Participants1 Participants
Race/Ethnicity, Customized
Other
21 Participants9 Participants12 Participants
Race/Ethnicity, Customized
White
9 Participants6 Participants3 Participants
Sex: Female, Male
Female
98 Participants48 Participants50 Participants
Sex: Female, Male
Male
4 Participants2 Participants2 Participants
Years as Home Health Aide
0-5 years
28 Participants13 Participants15 Participants
Years as Home Health Aide
11-15 years
16 Participants9 Participants7 Participants
Years as Home Health Aide
>15 years
27 Participants14 Participants13 Participants
Years as Home Health Aide
6-10 years
31 Participants14 Participants17 Participants
Years worked at their current agency
0-5 years
35 Participants16 Participants19 Participants
Years worked at their current agency
11-15 years
18 Participants10 Participants8 Participants
Years worked at their current agency
6-10 years
34 Participants16 Participants18 Participants
Years worked at their current agency
greater than 15 years
14 Participants8 Participants6 Participants
Years worked at their current agency
Missing Information
1 Participants0 Participants1 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
deaths
Total, all-cause mortality
0 / 500 / 52
other
Total, other adverse events
0 / 500 / 52
serious
Total, serious adverse events
0 / 500 / 52

Outcome results

Primary

Change in Heart Failure Caregiving Self-efficacy

As measured by the Caregiver Contribution to Self-Care in Heart Failure Index, which is a 22-item scale which assesses maintenance, management, and self-efficacy sub-scales separately. Each sub-scale score ranges from 0-100, with greater scores indicating greater contribution to care or self-efficacy.

Time frame: Baseline (0 days); at follow-up (90 days)

Population: Of the 105 participants that consented to be in the study, 3 participants were lost to follow-up between consents and taking the baseline survey.

ArmMeasureValue (MEAN)
Enhanced Usual CareChange in Heart Failure Caregiving Self-efficacy1.27 units on a scale
Intervention ArmChange in Heart Failure Caregiving Self-efficacy1.44 units on a scale
Primary

Change in Heart Failure Knowledge

As measured by the Dutch Heart Failure Knowledge Scale, scores range from 0-15; higher scores indicate greater heart failure knowledge.

Time frame: Baseline (0 days); at follow-up (90 days)

Population: Of the 105 participants that consented to be in the study, 3 participants were lost to follow-up between consents and taking the baseline survey.

ArmMeasureValue (MEAN)
Enhanced Usual CareChange in Heart Failure Knowledge0.93 units on a scale
Intervention ArmChange in Heart Failure Knowledge1.88 units on a scale
Secondary

Change in Intention to Leave

As measured by the Turnover Intention Scale, which is a 2-item scale that measures workers' intentions of 1) leaving their current job (at their agency) and 2) searching for a new job (in another field) in the next year. ) Responses for both included a 7-point likert scale of: very strongly disagree, strongly disagree, disagree neutral, agree, strongly agree, very strongly agree. Both questions were dichotomized into agree, strongly agree, and very strongly vs. all other responses.

Time frame: Baseline (0 days); at follow-up (90 days)

Population: Of the 105 participants that consented to be in the study, 3 participants were lost to follow-up between consents and taking the baseline survey. For non-modeled comparison of count of participants who were thinking of leaving job at 90 days, not all participants responded to the question regarding intentions of 1) leaving their current job and 2) searching for a new job in the baseline survey. Additionally, not all of these participants completed these questions for the 90-day follow-up.

ArmMeasureGroupValue (COUNT_OF_PARTICIPANTS)
Enhanced Usual CareChange in Intention to LeaveBaseline intention to leave job10 Participants
Enhanced Usual CareChange in Intention to Leave90 days intention to leave job6 Participants
Enhanced Usual CareChange in Intention to LeaveBaseline intention to search for a new job6 Participants
Enhanced Usual CareChange in Intention to Leave90 days intention to search for a new job3 Participants
Intervention ArmChange in Intention to Leave90 days intention to search for a new job3 Participants
Intervention ArmChange in Intention to LeaveBaseline intention to leave job9 Participants
Intervention ArmChange in Intention to LeaveBaseline intention to search for a new job5 Participants
Intervention ArmChange in Intention to Leave90 days intention to leave job6 Participants
Comparison: Outcome measures workers' intentions of leaving their current job. Responses included 7-point likert scale of very strongly disagree-very strongly agree. Dichotomized into agree, strongly agree, and very strongly vs. other responses. We used logistic mixed regression model to compare outcome between and within study arm. Mixed effects included a variable for time point (baseline/90 days), indicator for study arm, a study arm by time point interaction and subject random intercept.p-value: 0.97495% CI: [0.14, 6.85]Regression, Logistic
Comparison: Outcome measures workers' intentions of searching for a new job. Responses included 7-point likert scale of very strongly disagree-very strongly agree. Dichotomized into agree, strongly agree, and very strongly vs. other responses. We used logistic mixed regression model to compare outcome between and within study arm. Mixed effects included a variable for time point (baseline/90 days), indicator for study arm, a study arm by time point interaction and subject random intercept.p-value: 0.84695% CI: [0.08, 7.72]Regression, Logistic
Secondary

Change in Job Satisfaction

As measured by the Work Domain Satisfaction Scale, which is a 5-item scale that measures: 1) job satisfaction among care workers; and 2) examines the associations with work environment factors, work stressors, and health issues. Scores range from 5-20, with higher scores indicating stronger satisfaction.

Time frame: Baseline (0 days); at follow-up (90 days)

Population: Of the 105 participants that consented to be in the study, 3 participants were lost to follow-up between consents and taking the baseline survey.

ArmMeasureValue (MEAN)
Enhanced Usual CareChange in Job Satisfaction0.12 units on a scale
Intervention ArmChange in Job Satisfaction-0.31 units on a scale
Other Pre-specified

Change in Preventable 911 Calls

Preventable 911 calls were assessed with 2-close ended questions that we previously used among HHAs: I have called 911 when that could have been prevented if I had been able to reach my supervisor/the nurse. and I have called 911 when that could have been prevented if my supervisor and I had been able to reach the client's doctor. Responses for both included a 7-point Likert scale of: very strongly disagree, strongly disagree, disagree neutral, agree, strongly agree, very strongly agree. Both questions dichotomized into agree, strongly agree, and very strongly vs. all other responses.

Time frame: Baseline (0 days); at follow-up (90 days)

Population: Of the 105 participants that consented to be in the study, 3 participants were lost to follow-up between consents and taking the baseline survey. For non-modeled comparison of count of participants who were thinking of leaving job at 90 days, not all participants responded to the questions regarding preventable 911 calls in baseline survey. Additionally, not all participants responded to preventable 911 call questions at 90-day follow-up.

ArmMeasureGroupValue (COUNT_OF_PARTICIPANTS)
Enhanced Usual CareChange in Preventable 911 CallsBaseline-preventable 911 call if reached doctor20 Participants
Enhanced Usual CareChange in Preventable 911 Calls90 days-preventable 911 call if reached doctor19 Participants
Enhanced Usual CareChange in Preventable 911 CallsBaseline-preventable 911 call if reached nurse/supervisor30 Participants
Enhanced Usual CareChange in Preventable 911 Calls90 days-preventable 911 call if reached nurse/supervisor18 Participants
Intervention ArmChange in Preventable 911 Calls90 days-preventable 911 call if reached nurse/supervisor18 Participants
Intervention ArmChange in Preventable 911 CallsBaseline-preventable 911 call if reached doctor26 Participants
Intervention ArmChange in Preventable 911 CallsBaseline-preventable 911 call if reached nurse/supervisor28 Participants
Intervention ArmChange in Preventable 911 Calls90 days-preventable 911 call if reached doctor13 Participants
Comparison: Preventable 911 calls if had been able to reach the doctor. Dichotomized into agree, strongly agree, and very strongly vs. all other responses. We used logistic mixed regression model to compare trajectory of all outcomes between and within study arms. Mixed effects included a fixed effects categorical variable for time point (baseline/90days), and indicator for study arm (enhanced usual care/intervention), a study arm by time point interaction and subject specific random intercept.p-value: 0.04395% CI: [0.03, 0.94]Regression, Logistic
Comparison: Preventable 911 calls if had been able to reach the nurse/supervisor. Dichotomized into agree, strongly agree, and very strongly vs. other responses. We used logistic mixed regression model to compare trajectory of all outcomes between and within study arms. Mixed effects included a fixed effects categorical variable for time point (baseline/90days), and indicator for study arm (enhanced usual care/intervention), a study arm by time point interaction and subject specific random intercept.p-value: 0.9995% CI: [0.22, 4.58]Regression, Logistic
Other Pre-specified

Number of Readmissions to the Hospital

All-cause readmissions to any hospital

Time frame: Baseline (0 days); at follow-up (90 days)

Other Pre-specified

Number of Visits to the Emergency Department

All-cause emergency department visits to any emergency department

Time frame: Baseline (0 days); at follow-up (90 days)

Source: ClinicalTrials.gov · Data processed: Feb 8, 2026