Impact of An Emergency Response System on Anxiety and Health-Care Use

Anxiety Clinical Trial

Official title:

A Randomized Clinical Trial To Asses The Impact of An Emergency Response System on Anxiety and Health-Care Use Among Older Emergency Patients After A Fall

Clinical Trial Details — Status: Completed

Administrative data

• NCT number: NCT00330720
• Other study ID #: 205-2002
• Secondary ID: PSIF Grant #02-1
• Status: Completed
• Phase: N/A
• First received: May 26, 2006
• Last updated: May 26, 2006
• Start date: November 2002
• Est. completion date: June 2004

Study information

• Verified date: September 2004
• Source: Sunnybrook Health Sciences Centre
• Contact: n/a
• Is FDA regulated: No
• Health authority: Canada: Ethics Review Committee
• Study type: Interventional

Clinical Trial Summary

What to do after an elderly patient falls but is not seriously injured can be a very challenging decisions for the patient and the Emergency Physician. Unfortunately, homecare support is often unavailable for weeks. The patient and physician must then choose between discharge home without support, or hospitalization. An emergency response service (ERS) allows the patient to summon assistance from anywhere in their home, and may provide another option.

Objectives: To see how an ERS affects patients’ anxiety, fear of falling, and use of the health-care system after discharge. We will study patients over 70 years of age who have fallen but do not need to be hospitalized. Our belief is that the ERS will improve patient anxiety, and may prevent return visits to the Emergency or episodes of prolonged immobilization after a fall.

Methods: Patients agreeing to participate in the study will be assigned by chance to receive either current standard discharge care, or standard care plus the use of the emergency response system. Patients will be interviewed one month after discharge to compare the impact of the ERS. This study is a first step in deciding whether the ERS is a useful new technology.

Description:

Research Design & Methods:

3.1. Study Design & Setting: A prospective, assessment blinded, randomized study design will be used. Patients randomized to the intervention group will be given an ERS communicator for a period of 30 days following their visit to the ED. Patients in the conventional care group will receive standard advice upon discharge. (See Control Group, below). Sunnybrook and Women’s College Health Sciences Center is a tertiary, university-affiliated teaching hospital with an annual Emergency Department census of 40,000 patients. An audit of patients presenting to our Emergency Department for the month of December 2000 identified 87 patients over 70 years attending after a fall or fall-related injury who were discharged.

3.2. Study Population: The study will include elderly patients who present to the Emergency Department of our institution with a complaint of a fall, and who are being discharged home by the treating physician.

The proposed trial is designed to guide practical choices rather than merely to acquire scientific information. In the terms of Schwartz and Lellouch, it is ‘pragmatic’ rather than ‘explanatory’. Patients who do not comply with their allocated treatment will be analyzed according to the “intention–to-treat” principle .

3.2.1. Inclusion Criteria:

1. Age Greater than or equal to 70 years.

2. Primary complaint of a fall and discharged home directly from the Emergency Department.

3.2.2. Exclusion Criteria: Definition and Rationale: Exclusion Criteria: Definition /Rationale

1. Admitted to hospital Will not benefit from intervention

2. Not independently living Not living in own domicile, or Seniors residence if subject responsible for own activities of daily life /Dependant individuals not likely to benefit from intervention

3. No Phone Line Required to install ERS Line

4. Unable to give informed consent Communication barrier, dementia (MMS < 23)

5. Living outside catchment area Postal code of Residence/Follow-up impractical

3.3. Patient recruitment: All eligible patients presenting during study hours (08.00h-22.00h, 7 days a week) will be introduced to the study by a Research Nurse. Patients expressing an interest in study participation will be asked to provide formal written consent and will be randomized to either control or intervention groups (see “Intervention”, below) prior to discharge from the Emergency Department. To maximize follow-up, contact information will be verified prior to discharge, including information on next of kin and family physician.

3.4. Control Group Current standard care of the elderly who have fallen at our institution involves referral to an Emergency Geriatric Nurse Clinician, who is available between 9 and 5, seven days a week. Patients referred after hours currently receive a telephone follow-up the next day. Based on the face-to face or telephone interview, the Geriatric Nurse Clinician arranges follow-up with the Regional Geriatric Assessment program, suggests gait-aids such as a cane or walker, or may recommend a change in the client’s living arrangement.

3.5. Intervention Patients randomized to the intervention group will receive standard care as outlined above. In addition, they will be given an emergency response system (ERS) for a trial period of 30 days following their visit to the ED. The ERS consists of a battery operated personal alarm system, kept within reach of the patient at all times. The ERS is monitored 24 hours per day by a response team, with access to an updated summary of the medical history and social circumstances of the client. Patients are instructed to activate the ERS for falls or other events requiring assistance. Once the system is activated, an automated log of the event is generated. The response team can communicate with the individual via a 2-way speaker, and determine what resources are required (e.g. dispatching an ambulance, mobilization of home care, private health care, or family support). The proposed benefits of this system are to provide timely access to assistance by a team with specific knowledge of the patient for clients with restricted mobility, impaired visual or auditory acuity, or cognitive impairments that might interfere with their ability to access or choose an appropriate level of response from the health care system using existing methods such as 911 or Telehealth.

3.6. Length of Follow-up All patients will be contacted by telephone after one week to arrange a follow-up home visit interview between 30-37 days after discharge from the ED. Previous studies have shown that the highest return rates occur during the first month of discharge, , and that visits during this first month are more likely to be for the same problem than latter visits 31.

3.7. Primary Outcome: Hospital Anxiety Scale The primary goal of the current pilot study will be to determine the impact of the ERS on patient quality of life after discharge from the Emergency Department, as measured by the Hospital Anxiety Scale 1. The HAD-A scale has been used widely in the assessment of anxiety for many different patient groups, including the elderly 21, , both as a screening tool and as an outcome measure, and has been shown to have satisfactory levels of psychometric validity 42. The scale consists of seven Likert scales, scored between 0 and 3, for a theoretical range of 0 to 21.

3.7.1. Secondary Outcomes: Fear of Falling Efficacy Scale: The falls efficacy scale is previously validated scale designed to measure elders self-confidence in their ability to avoid falling in daily living activities 2,28. Elders rate their confidence to avoid a fall a 0 to 10 scale during ten activities (see Appendix A.). In addition, we will measure patients’ confidence that, were they to fall, they would be able to get up on their own.

3.7.2. Health Care Utilization: Health care utilization will be measured by patient reports of utilization of the following health care resources in the month following presentation: to the ED

1. Total return visits to an emergency department;

2. Total family physician visits;

3. Total contacts with Tele-health;

4. Total admissions to hospital and length of stay; 3.7.3. Patient and caregiver perceptions of the ERS It is important to document the behavioural and social processes attendant upon the introduction of any new technology, or any innovative application of an existing technology. In this instance we shall, through a short series of semi-structured questions, ask patients who are in receipt of Lifeline to reflect on their day to day experiences in relation to the possession and use of the equipment, during the month following their visit to the emergency department, and the perceived impacts of the scheme on family and friends. This component of the study derives from a phenomenological paradigm , and will specifically adopt an ethnographic methodology in order elicit patient-centered accounts of the technology 3.7.4. Patient Morbidity

We will compare the following measures of patient morbidity:

1. Self-reported falls

2. Self-reported injuries

3. Length of immobilization or “Down time”. The ERS has the potential to reduce patient morbidity by preventing the terrifying experience of prolonged periods of immobility or incapacitation after falling. In the literature, “downtime” has generally been estimated by patient self-report . When the patient is unable to estimate, the last witnessed time that the patient was ambulatory or in contact with another individual will be used as a proxy.

3.8. Data Collection Demographic variables (age, gender, home circumstance, mini mental status, and social support) will be recorded from the patient’s ED chart relating to the presenting event. A questionnaire (see Appendix A) will be administered during face-to-face interviews with patients in both the treatment and the conventional care groups. Baseline interviews will be conducted prior to randomization to ensure blinding. The questionnaire includes both the HAD-A scale and the Fear-Efficacy scale 2. In addition to these core items, people in the intervention group will be asked to describe their experiences and views of the ERS. Their responses will be recorded verbatim.

3.9. Data Analysis Plan Numerical data will be entered directly into a SAS (v10) database for statistical analysis, following the general principles of Pocock in relation to a simple one-way trial, and will be by ‘intention to treat’. The narrative (or “qualitative”) data will be analyzed using the framework method .

3.10. The sample size calculation was based on the ability to detect a difference in anxiety, our primary outcome, measured by the HADS-A. There is no definition in the literature for the minimal clinically important difference (MCID) for the HADS-A. Two previous large studies of community dwelling elders found that a 3 point change in HADS-A represented two-standard deviations from their baseline assessment.33 Using 3 points as the MCID yielded a sample size requirement of only 11 subjects per group. Such a small sample size would not permit analysis of secondary endpoints, and might be judged to lack face validity. Thus, a more conservative definition of the MCID for HADS-A of 1.5 points was chosen. Because of uncertainty regarding the distribution of HADS-A scores in our target population, we used the Wilcoxon rank sum test to estimate the required sample size. Given a standard deviation of 3.4, and an alpha of 0.05, with 40 subjects per group, the study would have over 95% power to detect a between-group reduction of 1.5 points from 6.0 to 4.5 in the mean HADS-A score.

3.10.1. Recruitment rate A pilot study at our institution demonstrated that during a one month period, 87 patients over 70 years of age were discharged from the emergency department. Assuming that 45% of attendees were recruited, we estimate that approximately 39 people per month will be available for recruitment. Assuming a further 10% loss to follow-up, we estimate that a five-month period will be required to recruit 160 subjects.

3.11. Ethical Considerations Ethical approval is being sought from our institutional research ethics board of SWCHSC. The Research Nurse will obtain full written informed consent.

Patient confidentiality will be strictly maintained. Data will be made anonymous before analysis, and results will be published such that it is impossible to identify any participant. Documents with patient identification will be kept in a, separate, locking filing cabinets. The data will be archived for five years following completion of the study, and then destroyed.

Recruitment information / eligibility

• Status: Completed
• Enrollment: 80
• Est. completion date: June 2004
• Accepts healthy volunteers: No
• Gender: Both
• Age group: 70 Years and older

Eligibility

Inclusion Criteria:

1. Age greater than or equal to 70 years.

2. Primary complaint of a fall and discharged home directly from the Emergency Department -

Exclusion Criteria:

1. Admitted to hospital

2. Not independently living

3. No Phone Line

4. Unable to give informed consent

5. Living outside geographic catchment area -

Study Design

Allocation: Randomized, Endpoint Classification: Efficacy Study, Intervention Model: Single Group Assignment, Masking: Single Blind, Primary Purpose: Treatment

Related Conditions & MeSH terms

• Anxiety
• Anxiety Disorders
• Emergencies
• Falls
• Fear of Falling

Intervention

Device:
• Emergency Response System (Device)

Locations

Country	Name	City	State
Canada	Sunnybrook Health Sciences Center	Toronto	Ontario

Sponsors (3)

Lead Sponsor	Collaborator
Sunnybrook Health Sciences Centre	Lifeline, The Physicians' Services Incorporated Foundation

Country where clinical trial is conducted

Canada, 

References & Publications (20)

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Bernstein M. "Low-tech" personal emergency response systems reduce costs and improve outcomes. Manag Care Q. 2000 Winter;8(1):38-43. — View Citation

Burt CW, Fingerhut LA. Injury visits to hospital emergency departments: United States, 1992-95. Vital Health Stat 13. 1998 Jan;(131):1-76. — View Citation

Dibner A. Personal emergency response systems: comunication technology aids eldery and their family. J Appl Gerontol. 1990;9:504-510.

Dibner AS. A method for reducing anxiety in the home-bound elderly. J Geriatr Psychiatry. 1981;14(1):111-3. — View Citation

Dibner AS. Personal response services present and future. Home Health Care Serv Q. 1992;13(3-4):239-43. — View Citation

Ford JD, Trestman RL, Steinberg K, Tennen H, Allen S. Prospective association of anxiety, depressive, and addictive disorders with high utilization of primary, specialty and emergency medical care. Soc Sci Med. 2004 Jun;58(11):2145-8. — View Citation

Ford JD, Trestman RL, Tennen H, Allen S. Relationship of anxiety, depression and alcohol use disorders to persistent high utilization and potentially problematic under-utilization of primary medical care. Soc Sci Med. 2005 Oct;61(7):1618-25. Epub 2005 Apr 26. — View Citation

Grief CL. Patterns of ED use and perceptions of the elderly regarding their emergency care: a synthesis of recent research. J Emerg Nurs. 2003 Apr;29(2):122-6. — View Citation

Howland J, Lachman ME, Peterson EW, Cote J, Kasten L, Jette A. Covariates of fear of falling and associated activity curtailment. Gerontologist. 1998 Oct;38(5):549-55. — View Citation

Howland J, Peterson EW, Levin WC, Fried L, Pordon D, Bak S. Fear of falling among the community-dwelling elderly. J Aging Health. 1993 May;5(2):229-43. — View Citation

Hyer K, Rudick L. The effectiveness of personal emergency response systems in meeting the safety monitoring needs of home care clients. J Nurs Adm. 1994 Jun;24(6):39-44. — View Citation

Koch WJ. Emergency response system assists in discharge planning. Dimens Health Serv. 1984 Nov;61(11):30-1. — View Citation

Nevitt MC, Cummings SR, Kidd S, Black D. Risk factors for recurrent nonsyncopal falls. A prospective study. JAMA. 1989 May 12;261(18):2663-8. — View Citation

Roush RE, Teasdale TA, Murphy JN, Kirk MS. Impact of a personal emergency response system on hospital utilization by community-residing elders. South Med J. 1995 Sep;88(9):917-22. — View Citation

Sherwood S, Morris J. A study on the effects of an emergency alarm system for the aged: a final report. Boston, MA: Hebrew Rehabilitation Center for Aged; 1980. Grant No. HSO1788.

Tinetti ME, Mendes de Leon CF, Doucette JT, Baker DI. Fear of falling and fall-related efficacy in relationship to functioning among community-living elders. J Gerontol. 1994 May;49(3):M140-7. — View Citation

Tinetti ME, Speechley M. Prevention of falls among the elderly. N Engl J Med. 1989 Apr 20;320(16):1055-9. Review. — View Citation

Vellas B, Cayla F, Bocquet H, de Pemille F, Albarede JL. Prospective study of restriction of activity in old people after falls. Age Ageing. 1987 May;16(3):189-93. — View Citation

Walker JE, Howland J. Falls and fear of falling among elderly persons living in the community: occupational therapy interventions. Am J Occup Ther. 1991 Feb;45(2):119-22. — View Citation

* Note: There are 20 references in all — Click here to view all references

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	Anxiety measured with the Hospital Anxiety and Depression Scale, at 1 month
Secondary	Fear of Falling, using Falls Efficacy Scale at 1 month
Secondary	Proportion who Returned to the Emergency Department by 2 months
Secondary	Proportion who are Hospitalized by 2 months
Secondary	Length of Stay by 2 months, in Days.