The Effects of Educational Program Using APP on Pre-Discharge Knowledge, Skills and Anxiety of Wound Care

Wound Clinical Trial

Official title:

The Mobile Applications (APP) for Patient Education Has Promoted the Knowledge, Skills on the Wound Care and Reduced the Anxiety of Wound Care

Clinical Trial Details — Status: Completed

Administrative data

• NCT number: NCT03683303
• Other study ID #: KMUHIRB-E(II)-20160030
• Status: Completed
• Phase: N/A
• Start date: March 2016
• Est. completion date: December 2016

Study information

• Verified date: September 2018
• Source: Kaohsiung Medical University Chung-Ho Memorial Hospital
• Contact: n/a
• Is FDA regulated: No
• Study type: Interventional

Clinical Trial Summary

The purposes of this study were to understand the effects of mhealth App on wound care knowledge, wound care skills, and anxiety related to dressing change when compared to traditional health education before patients discharged from hospital.

Description:

1. Research design:

This study employed a single-blind experimental design. Study participants were randomized into the experimental and control groups. Participants in the experimental group used the mHealth App as intervention while those in the control group received normal verbal instructions. The levels of wound care knowledge, skills, and anxiety related to dressing change in the two groups were compared before intervention (T1), after intervention (T2), and before discharge (T3).

2. Study setting & samples:

The recruitment site of this study was conducted in a plastic surgery ward at a 1500-bed university hospital located in Southern of Taiwan. Samples were recruited either hospitalized patients or their primary caregivers from March to December 2016. Inclusion criteria were of Taiwanese nationality, were aged 20 years and above, had a wound classification score of 6-10 points according to Strauss (2000), required self-care of wound at home, and had a habit of using smartphones. Exclusion criteria included special care conditions, such as (1) other comorbidities (such as severe infection or severe compression injuries with comorbid open fractures) and (2) being a special patient, such as one with mental illness. Sample estimation based on the F test of MANOVA statistics was carried out using the G Power 3.1 software. Each group had at least 31 samples (effect size = 0.25, ∝ = 0.05, power = 0.85). A total of 76 participants satisfied the inclusion criteria for this study. There were 6 patients who were not willing to participate in this study; therefore, 35 participants were randomized enrolled in each of the experimental and control groups.

Recruitment information / eligibility

• Status: Completed
• Enrollment: 70
• Est. completion date: December 2016
• Est. primary completion date: December 2016
• Accepts healthy volunteers: No
• Gender: All
• Age group: 20 Years and older

Eligibility

Inclusion Criteria:

• aged 20 years and above.

• wound classification score of 6-10 points according to Strauss (2000).

• required wound self-care at home or care by their primary caregivers.

• had a habit of using smartphones.

Exclusion Criteria:

• other comorbidities (such as severe infection or severe compression injuries with comorbid open fractures).

• being a special patient, such as one with mental illness.

Related Conditions & MeSH terms

• Wound
• Wounds and Injuries

Intervention

Behavioral:
• mobile applications (APP)
the experimental group receiving education using Mobile Application (APP), collected data using "Wound Care Knowledge Scale," "Wound Care Skills Scale," "State Trait Anxiety Inventory" and "Heart Rate Variability" at three phases, including before the intervention (T1), after 3 times of intervention (T2), and before discharge from hospital (T3). The SPSS 22.0 for Windows was used for statistics analyses.
• oral education
the control group receiving the oral education, collected data using "Wound Care Knowledge Scale," "Wound Care Skills Scale," "State Trait Anxiety Inventory" and "Heart Rate Variability" at three phases, including before the intervention (T1), after 3 times of intervention (T2), and before discharge from hospital (T3).

Locations

Country	Name	City	State
n/a

Sponsors (1)

Lead Sponsor	Collaborator
Kaohsiung Medical University Chung-Ho Memorial Hospital

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	wound care knowledge	wound care knowledge scale was designed by Li (2008) and was used in the studies of Shao (2013) and Liu (2016). The content validity index (CVI) of this 20-item scale was 1.00 for its feasibility, 0.94 for its definiteness and 0.98 for its Appropriateness. A higher score indicates the higher level of wound care knowledge.	20 minutes
Secondary	wound care skills	wound care skills scale was designed by Chen (2010) with 11 items. The CVI for each item was between 0.8 and 1.0 with good validity. The internal consistency reliability of this scale (Cronbach's a) was 0.87. A higher score indicates the higher level of wound care skills. This scale was assessed by healthcare professionals when patients or their caregivers performed wound dressing change.	30 minutes
Secondary	wound care anxiety	State-Trait Anxiety Inventory (STAI) was designed by Spielberger, Gorsuch, & Lushene (1970) with 20 items for assessing trait anxiety and 20 for state anxiety. The internal consistency reliability for the scale have ranged from .86 to .95 and test-retest reliability have ranged from .65 to .75 over a 2-month interval (Spielberger et al., 1983). The revised Chinese version of the STAI scale was 0.9 for situation-specific anxiety and 0.86 for trait anxiety (Chung & Lung, 1984). A higher score indicates the higher level of wound care anxiety.	20 minutes
Secondary	Heart rate variability (HRV)	Heart rate variability (HRV) was measured by the ANS Watch (Department of Health Medical Device Permit Numbers: 001525) to record the variation in the time interval between heartbeats. It can indicate the levels of anxiety from the inputs of the sympathetic and the parasympathetic nervous system and humoral factors. When the level of anxiety is high, patients' physiological effects decreasing in HRV(Huang, Lin, Huang, &Hung, 2008).	10 minutes
Secondary	Blood pressure(BP)	Both systolic blood pressure (SBP) and diastolic blood pressure (DBP) were measured by the ANS Watch (Department of Health Medical Device Permit Numbers: 001525) to record the variation in the time interval between blood pressure. It can indicate the levels of anxiety from the inputs of the sympathetic and the parasympathetic nervous system and humoral factors. When the level of anxiety is high, patients' physiological effects increase in systolic blood pressure (SBP) and diastolic blood pressure (DBP) (Huang, Lin, Huang, &Hung, 2008).	10 minutes
Secondary	Heart rate (HR)	Heart rate was measured by the ANS Watch (Department of Health Medical Device Permit Numbers: 001525) to record the variation in the time interval between heartbeats. It can indicate the levels of anxiety from the inputs of the sympathetic and the parasympathetic nervous system and humoral factors. When the level of anxiety is high, patients' physiological effects increase in heart rate(Huang, Lin, Huang, &Hung, 2008).	10 minutes
Secondary	High frequency power (HF)	High frequency power (HF) was measured by the ANS Watch (Department of Health Medical Device Permit Numbers: 001525) to record the variation in the time interval between heartbeats. It can indicate the levels of anxiety from the inputs of the sympathetic and the parasympathetic nervous system and humoral factors. When the level of anxiety is high, patients' physiological effects decreasing in HF(Huang, Lin, Huang, &Hung, 2008).	10 minutes
Secondary	Low frequency power (LF)	Low frequency power (LF) was measured by the ANS Watch (Department of Health Medical Device Permit Numbers: 001525) to record the variation in the time interval between heartbeats. It can indicate the levels of anxiety from the inputs of the sympathetic and the parasympathetic nervous system and humoral factors. When the level of anxiety is high, patients' physiological effects increase in LF(Huang, Lin, Huang, &Hung, 2008).	10 minutes
Secondary	The ratio of LF/HF	Heart rate variability was measured by the ANS Watch (Department of Health Medical Device Permit Numbers: 001525) to record the variation in the time interval between heartbeats. It can indicate the levels of anxiety from the inputs of the sympathetic and the parasympathetic nervous system and humoral factors. When the level of anxiety is high, patients' physiological effects increase in ratio of LF/HF(Huang, Lin, Huang, &Hung, 2008).	10 minutes