Smart Care for Older Persons Recovering From Hip-fracture Surgery

The proposed study aims to examine the costs and effects of a Smart Care Model using smart clothing with alarm sensors that detect fall risks and monitor/give feedback on continuously recorded daily activity levels.

This mixed-method study will include a quantitative component (a randomized control trial) and a qualitative component. Data will be collected and analyzed using an embedded type of mixed method, i.e., a small qualitative component will be embedded in a larger quantitative study. Before the study, we will seek institutional review board approval. The quantitative component, a randomized experimental design, will examine the effectiveness of the Smart Care Model. The control group will receive only usual care, and the experimental group will receive Smart Care. Subjects will be recruited from the trauma wards of Chang Gung Memorial Hospital (CGMH) at Linkou and New Taipei Tucheng hospital. The sample will include 158 subjects, with 79 in each group. Patients and caregivers in both groups will be assessed 8 times: at admission, before discharge, 1, 3, 6, 12, 18, and 24 months following hospital discharge. Outcomes will include (a) patient outcomes (clinical outcomes, self-care ability, adherence, service utilization, health-related quality of life [HRQoL] and cost of care), and (b) family caregiver outcomes (preparedness, perceived balance between competing needs, depressive symptoms and HRQoL). Analyses will follow an intention-to-treat principle. The effects of the Smart Care Model on health outcomes will be analyzed by hierarchical linear models. The qualitative component will follow the collection of quantitative data. A subset of 10 patients and their family caregivers will be chosen from participants who receive Smart Care, and 10 who receive routine care for in-depth personal interviews consisting of open-ended questions. Interviews will be transcribed verbatim and analyzed as suggested by Miles and Huberman (1994). After both quantitative and qualitative data are collected, the quantitative and qualitative results will be integrated, compared, and contrasted to fully explore the study aims.

Study Overview

• Status: Recruiting
• Conditions: Hip Fractures
• Intervention / Treatment: Device: usual care; Device: Smart care

Detailed Description

Specific Aims and Hypothesis:

The proposed research aims to examine the effects of a Smart Care Model (SCM) on the health outcomes of older patients recovering from hip-fracture surgery (hip-fractured older patients) and on their caregivers' caregiving burden. The SCM entails real-time activity monitoring and feedback using smart clothing with sensors embedded in a computer network.

The proposed study has the following specific aims.

1. To pretest, finalize and evaluate the protocol for the SCM.

2. To evaluate the effectiveness of usual care and the SCM for hip-fractured elders in a randomized control trial. Effects of the two care models will be evaluated by comparing the trajectories of selected outcome variables: patients' clinical outcomes, self-care ability, subsequent falls, health-related quality of life (HRQoL), adherence, and service utilization as well as family caregivers' preparedness, perceived balance between competing needs, depressive symptoms, and HRQoL.

   During the first year after hospital discharge, hip-fractured elderly patients who receive the SCM will 2-1. Have better clinical outcomes, self-care ability, adherence and HRQoL and fewer subsequent falls than those who receive usual care.

   2-2. Have more outpatient visits and fewer hospital readmissions and emergency department visits than those who receive usual care.

   2-3. Family caregivers of hip-fractured patients receiving the SCM will have better preparedness, perceived balance between competing needs, and HRQoL as well as fewer depressive symptoms than caregivers of patients receiving usual care.

3. If the effectiveness of the SCM is established, its cost-effectiveness will be analyzed from the perspectives of the health care system and society. The "incremental cost-effectiveness ratio" will be calculated to show the incremental costs for an additional quality-adjusted life year (QALY) of elderly hip-fractured patients receiving the SCM.
4. To qualitatively explore the experiences of receiving the SCM for older hip-fractured persons and their family caregivers with in-depth interviews. The qualitative and quantitative components of the proposed study will be integrated to finalize the typical protocol, context and cases for implementing the SCM for older hip-fractured persons.

Basic Design:

Mixed methods,a concurrent embedded strategy in which quantitative and qualitative data are collected at the same time, with the quantitative component being predominant and the qualitative component collected from a sample subset , will be implemented. For the quantitative component, a randomized experimental design will be used to examine the effectiveness of the Smart Care Model (SCM) over a 5-year period. For the qualitative component, we will concurrently collect and compare qualitative data from a sample subset of patients and family caregivers who receive the SCM and those who receive usual care.Finally, the qualitative and quantitative data will be merged to provide comprehensive evidence and finalize protocols and typical cases for the SCM for hip-fractured older persons. The mixed-method approach has the advantages of confirming findings, validating and deepening understanding of the effects of care models, and broadening insights into the different issues underlying care models.

Intervention Models Participants in this trial will receive two care models: usual care and the Smart Care Model (SCM). The SCM will have two components: fall risk monitoring with an alarm, and activity-level monitoring with feedback. These SCM components are designed to enhance caregiver competence, decrease patient risk for subsequent falls, and improve postoperative recovery for hip-fractured patients with cognitive impairment. We have integrated the technology of remote monitoring with smart clothing into continuous rehabilitation and discharge planning, along with geriatric consultation. We will compare the effects of the SCM and usual care in this trial.

Participants Subjects will be recruited from the trauma wards of CGMH at Linkou and New Taipei Tucheng hospital.For the quantitative component, the sample size was estimated based on our interest in longitudinal changes in outcome variables. We plan to obtain at least 126 participants (63 for each group). Since fewer than 20% of cases were lost in our previous study, we estimated that 158 participants (79 in each group) would be adequate for the proposed study.

For the qualitative component, a subset sample of participants and family caregivers who received the SCM will be interviewed one-on-one to explore their experiences of receiving the SCM and compared with a subset of participants who received routine care. Ten patients and their family caregivers from the experimental group and 10 from the control group will be recruited.

Procedure As shown in Figure 5, potential subjects will be recruited by research assistants who will screen patient lists from the emergency department and hospital admissions twice a day to avoid losing potential cases. For patients who meet the study criteria, their primary physicians will be informed, and these potential subjects and their family caregivers will be invited to participate in this study. Elderly patients and their family caregivers who agree to participate will then be randomly assigned to the intervention or control group.

Randomization to groups will follow a randomization table created by our university statistician. The project manager will create sequentially numbered sealed envelopes containing group assignment. Each consenting patient and their family caregiver will receive the envelope in the order in which they are enrolled. The project manager will have access to the spreadsheet that indicates the randomization order, but not the research nurses who assess outcomes. After randomization, patients and their family caregivers in the experimental group will receive the SCM, and those in the control group will receive usual care. Patients and families will not be aware of their group enrollment and will be masked to the care model they receive. Research nurses who collect data will be independent of those who deliver the interventions. For the experimental group, the geriatric nurse will install sensors with the engineer during the home-environment assessment before hospital discharge and will spend around 60 minutes to help caregivers and patients use the smart clothing at home. Then a registered nurse will visit participants' homes once a week for 1 month after discharge, then once each month to help solve problems in using the smart-care system, download data, along with in-home rehabilitation. Each visit will take 30 to 60 minutes.

Patients and caregivers in both groups will be assessed 8 times longitudinally, each time around 30 minutes. The first assessment will be within 24 hours after hospital admission in the emergency department, and the second assessment will be in the wards after surgery and before discharge. The third, fourth, fifth, sixth, seventh and eighth assessments will be made 1, 3, 6, 12, 18 and 24 months after discharge, respectively. Families will keep weekly diaries to record rehabilitation and cost information. The incentive for diary recording will be enhanced by providing rewards. Qualitative data on experiences of using the SCM will be collected through 20-minute face-to-face interviews with a subset of at least 10 SCM-group and 10 routine-care patients and their family caregivers. They will be told that the interview questions have no right or wrong answers.

Data Analysis Quantitative Data Quantitative data will be analyzed under an intention-to-treat principle. This analysis will test three hypotheses about participants who receive the SCM vs. those who receive usual care. Hypothesis 2-1: elderly hip-fractured patients who receive the SCM will have better clinical outcomes, self-care ability, adherence and HRQoL and fewer subsequent falls; hypothesis 2-2: elderly hip-fractured patients who receive the SCM will have more outpatient visits and fewer hospital readmissions and emergency department visits; and hypothesis 2- 3: family caregivers of those who receive the SCM will have better preparedness, perceived balance between competing needs, and HRQoL, as well as fewer depressive symptoms than caregivers of those who receive usual care.

Changes in continuous outcome variables will be analyzed by hierarchical linear models (HLM), with usual care (control group) as the reference category. For binary outcome variables, a series of multilevel multinomial logit models will be estimated using usual care as the reference category. When we evaluate non-linear changes with time, the possibility of multicollinearity will be minimized by centering time at 3 and 6 months after discharge since the most rapid improvement in recovery occurs during the first 6 months. Finally, attrition will be accounted for by two dummy variables, one identifying subjects who died during the 1-year follow-up period, and the other identifying those who dropped out for other reasons. In addition, family caregiver characteristics (gender, age, education background and relationship with the hip-fractured person) will be compared between the experimental and control groups. Characteristics that differed significantly will be controlled in the HLM data analysis.

For specific aim 3, the "incremental cost-effectiveness ratio" will be calculated to demonstrate the incremental cost for an additional QALY of elderly hip-fractured patients receiving the SCM. Additionally, the robustness of the study results will be tested using multi-way sensitivity analysis.

Qualitative Data Transcripts and field notes will be coded line by line, with data collection and analysis concurrent. Data analysis will use three types of codes: descriptive, interpretative, and pattern. Descriptive codes imply little interpretation.Interpretive codes analyze or infer meaning from participants' words. Pattern codes are more inferential and explanatory. Data will be analyzed both within and across cases. Data analysis and collection will be discussed periodically among the research team. Memos will be written concurrently with data collection, coding and categorizing to record researchers' thoughts during data collection and analysis.

• Study Type: Interventional
• Enrollment (Estimated): 158
• Phase: Not Applicable

Contacts and Locations

• Study Contact: Name: Yea-Ing L Shyu, PhD; Phone Number: 5726 032118800; Email: yeaing@mail.cgu.edu.tw

Study Locations

• Taiwan
  • New Taipei City, Taiwan, 236017
    • Recruiting
    • New Taipei Tucheng hospital
    • Contact: Yea-Ing L Shyu, PhD
  • Taoyuan, Taiwan
    • Recruiting
    • Chang Gung Memorial Hospital
    • Contact: Yea-Ing L Shyu, PhD; Phone Number: 5275 +886 3 2118811; Email: yeaing@mail.cgu.edu.tw

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: 60 years and older (Adult, Older Adult)
• Accepts Healthy Volunteers: No

Description

Inclusion Criteria:

• ≥ 60 years old
• admitted to CGMH from its emergency department due to one-side hip fracture,
• received hip arthroplasty or internal fixation
• can perform full range of motion against gravity and against some or full resistance
• pre-fracture Chinese Barthel Index (CBI) score > 70
• living in northern Taiwan (i.e., greater Taipei area, Keelung, Taoyuan, or Shin-Ju Province).

Exclusion Criteria:

• severe cognitive impairment that makes them unable to follow orders (Chinese Mini-Mental State Examination score <10)
• terminally ill
• without a primary family caregiver
• living in an institution.

Study Plan

How is the study designed?

Design Details

• Primary Purpose: Health Services Research
• Allocation: Randomized
• Interventional Model: Parallel Assignment
• Masking: Double

Number of Arms

2

Arms and Interventions

Participant Group / Arm	Intervention / Treatment
Other: usual care; After a fall leading to hip fracture, patients are cared for by orthopedists and receive internal fixation or arthroplasty. Consultations for internal medicine care are occasionally made depending on the patient's condition. During the first 1 to 2 days after surgery, nurses teach patients how to exercise while still in bed, using caution while changing their position. Pain-relief medications and antibiotics are also administered (for 2-3 days). The first day after surgery, physical therapy usually starts with rehabilitation training only on patients receiving arthroplasty. The average hospital stay is 5 to 7 days. After hospital discharge, very few patients use in-home or community rehabilitation or are admitted to a 2-week subacute rehabilitation unit. Patients usually come back to the clinic around 1, 3, 6, and 12 months after hospital discharge. However, adherence to this follow-up schedule is poor. Telephone follow-ups are seldom used.	Device: usual care; Routine hospital care with only in-hospital rehabilitation
Experimental: Smart Care Model; The smart care model (SCM) will contain the components of geriatric assessment, continuous rehabilitation, and discharge planning. Sensors will be installed in bedrooms and living areas of the patient's home to receive signals from the smart clothing. Instant alerts and feedbacks from research nurses to family caregivers about the patient's condition and activity level will be provided.	Device: Smart care; Home based nursing intervention with smart assisted technology; Other Names: usual care

What is the study measuring?

Primary Outcome Measures

Outcome Measure	Measure Description	Time Frame
muscle strength	These outcomes will include muscle strength	from 1 to 24 months following hospital discharge
muscle endurance	These outcomes will include muscle endurance	from 1 to 24 months following hospital discharge
flexibility	These outcomes will include flexibility	from 1 to 24 months following hospital discharge
complications	These outcomes will include complications	from 1 to 24 months following hospital discharge
mortality	These outcomes will include mortality.	from 1 to 24 months following hospital discharge
Range of motion	These outcomes will include ROM of affected limb	from 1 to 24 months following hospital discharge
pain intensity	These outcomes will include pain	from 1 to 24 months following hospital discharge
IADL	Self-care abilities will include performance of IADL.	from 1 to 24 months following hospital discharge
ADL	Self-care abilities will include performance of ADLs.	from 1 to 24 months following hospital discharge
length of hospital stay	Information on service utilization will include length of hospital stay (LOS)	from 1 to 24 months following hospital discharge
emergency department visits	Information on service utilization will include emergency department visits	from 1 to 24 months following hospital discharge
hospital re-admission rate	Information on service utilization will include hospital re-admission rate	from 1 to 24 months following hospital discharge
EQ5D	HRQoL of hip-fractured older persons will be measured by the Taiwan-version five-dimension, three-level EuroQol questionnaire (EQ-5D-3L) for cost-effective analysis (Chang et al., 2007).	from 1to 24 months following hospital discharge
Health-related quality of life (HRQoL)	HRQoL of hip-fractured older persons will be measured by the SF-36 Taiwan-version (Lu, Tseng, & Tsai, 2003; Shyu, Chen, Liang, Lu et al., 2004; Tseng, Lu, & Tsai, 2003).	from 1to 24 months following hospital discharge
Adherence	We will measure the adherence to continuous rehabilitation. Family caregivers will be asked to keep a diary to record frequencies and types of daily rehabilitation performed by older persons as in our prior studies.	from 1 to 24 months following hospital discharge
Cost of care	Cost-effectiveness of the SCM will be analyzed from the perspectives of the health care system and society. All health care costs will be derived from actual hospital information-system costs, the National Health Insurance claims database, patient self-reported out-of-pocket payments, and data from published and unpublished sources.	from 1 to 24 following hospital discharge

Secondary Outcome Measures

Outcome Measure	Measure Description	Time Frame
Caregiver preparedness	This outcome, defined as how ready caregivers believe they are for the tasks and stresses of caregiving, will be measured by the Preparedness Scale of the Family Caregiver Inventory (Archbold, Stewart, Greenlick, & Harvath, 1990, 1992; Archbold, Stewart, Greenlick, & Valanis, 1993; Huang et al., 2013)	1, 3, 6, 12, 18, 24 months following hospital discharge
Balance between competing needs	Caregivers' perceived balance, or the degree to which they perceive they could simultaneously handle competing caregiving needs, will be assessed using the 18-item Chinese-version Finding a Balance Scale (Liu et al., 2014; Shyu, 2002).	1, 3, 6, 12, 18, 24 months following hospital discharge
Caregiver depressive symptoms	Caregivers' depressive symptoms will be assessed using the 20-item, self-report Chinese-version Centre for Epidemiologic Studies Depression Scale (CES-D; Fu, Lee, & Chen, 2003).	1, 3, 6, 12, 18, 24 months following hospital discharge
Caregiver HRQoL	HRQoL of family caregivers will be measured by the SF-36 Taiwan-version (Lu, Tseng, & Tsai, 2003; Shyu, Chen, Liang, Lu et al., 2004; Tseng, Lu, & Tsai, 2003). HRQoL will also be measured by the Taiwan-version five-dimension, three-level EuroQol questionnaire (EQ-5D-3L) for cost-effective analysis (Chang et al., 2007).	1, 3, 6, 12, 18, 24 months following hospital discharge

Collaborators and Investigators

• Sponsor: Chang Gung Memorial Hospital
• Collaborators: National Health Research Institutes, Taiwan; Chang Gung University

Study record dates

Study Major Dates

• Study Start (Actual): January 1, 2020
• Primary Completion (Estimated): December 31, 2024
• Study Completion (Estimated): December 31, 2024

Study Registration Dates

• First Submitted: September 2, 2020
• First Submitted That Met QC Criteria: December 14, 2020
• First Posted (Actual): December 19, 2020

Study Record Updates

• Last Update Posted (Actual): August 30, 2023
• Last Update Submitted That Met QC Criteria: August 28, 2023
• Last Verified: August 1, 2023

More Information

Terms related to this study

• Keywords: hip fractures; family caregiver; smart care; home nursing
• Additional Relevant MeSH Terms: Wounds and Injuries; Leg Injuries; Femoral Fractures; Hip Injuries; Fractures, Bone; Hip Fractures
• Other Study ID Numbers: NHRI 109-113

Plan for Individual participant data (IPD)

• Plan to Share Individual Participant Data (IPD)?: NO

Drug and device information, study documents

• Studies a U.S. FDA-regulated drug product: No
• Studies a U.S. FDA-regulated device product: No