SIGNUS VITALIS: AN INNOVATIVE APPROACH TO VITAL SIGNS

MONITORING AND DOCUMENTATION USING ANDROID APPLICATION AND

MOBILE PHONES

AUTHORS:

Angod, Lady Aizahlyn I.

Bugtong, Hanna May Fatima L.

Laranjo, Sandra Lois L.MSU-IIT COLLEGE OF NURSING

MINDANAO STATE UNIVERSITY-ILIGAN INSTITUTE OF TECHNOLOGY

PROBLEM

MSU-IIT COLLEGE OF NURSING

MSU-IIT COLLEGE OF NURSING

MSU-IIT COLLEGE OF NURSING

PROBLEM

WHOSE DETERIORATION MAY NOT HAVE BEEN RECOGNIZED OR ACTED ON APPROPRIATELY

National Patient Safety Agency, 2007

PROBLEM

Iyer, 2006

CLINICAL NURSES HAVE BEEN DRILLED IN THE IMPORTANCE OF COMPLETING THEIR ASSIGNMENTS

AT THE END OF THE SHIFT

NURSE-PATIENT RATIO

1:15-25(PHILIPPINES)

1:4 (WHO)

Healthwrights, 2004

GENERAL OBJECTIVE: CREATION AND UTILIZATION OF ANDROID APPLICATION

THAT COULD ASSIST HEALTH CARE WORKERS IN MONITORING AND DOCUMENTING CLIENT’S

HEALTH STATUS

THUS, SIGNUS VITALISWAS BORN

MSU-IIT COLLEGE OF NURSING

SPECIFIC OBJECTIVES:

In terms of:A. EASE OF USEB. SATISFACTION

2. To determine the level of ACCEPTABILITY TO END-USERS

In terms of:A. AGE, LENGTH OF SERVICEB. PREFERENCE: ANDROID APPLICATION VS. PAPER-BASED

1. To determine the DEMOGRAPHIC PROFILE AND PREFERENCE OF NURSES

In terms of:A. CHARTING TIMEB. ACCURACY

3. To determine the level of EFFICIENCY OF THE ANDROID APPLICATION

MSU-IIT COLLEGE OF NURSING

METHODOLOGY

IMPACT ANALYSISAttribute a causal influence to a new

program(Signus Vitalis) to nursing practice

SAMPLING METHOD

Purposive: Inclusion Criteria.

DATA GATHERING

A. Those nurses who passed the return demonstration(with matrix skills as basis) were observed FOUR TIMES B. Charting time and accuracy were recordedC. Modified questionnaires were given after the observation

DATA ANALYSISStatistical tools:

Percentage, FDT, t-Test, Pearson’s Correlation

RESULTS

RESULTS AND DICUSSION

Figure 13(Age); Figure 15(length of service); Table 2(preference of nurses)

In terms of:A. AGE, LENGTH OF SERVICEB. PREFERENCE: ANDROID APPLICATION VS. PAPER-BASED

1. To determine the DEMOGRAPHIC PROFILE AND PREFERENCE OF NURSES

AGE

37.5% of the respondentsA. 20-29 years

oldB. 40 years old

and above

LENGTH OF SERVICE

50% of the respondents

had been working for 2-4

years

PREFERENCE

87.5 % of the respondents

preferred the use of android

application

RESULTS AND DICUSSION

In terms of:A. EASE OF USEB. SATISFACTIONEvaluated using WEIGHTED MEAN

2. To determine the level of ACCEPTABILITY TO END-USERS

SATISFACTION

Overall Weighted Mean= 1.53

(Very Satisfied)

EASE OF USE

Overall Weighted Mean= 6.56 (Extremely

Likely)Table 1(Ease of Use); Table 3(Satisfaction)

RESULTS AND DICUSSION

Table 5(Sig. Diff. in Charting Time); Table 7 (Sig. Diff, in Accuracy)

In terms of:A. CHARTING TIMEB. ACCURACY

3. To determine the level of EFFICIENCY OF THE ANDROID APPLICATION

t p value Remarks

-

6.270**0.000 Significant

t p value Remarks

2.61

6*0.014

Significa

nt

CHARTING TIME

As depicted in the table 5, there is a significant difference in the time between standard procedure and the use of android with t value of 2.616.

ACCURACY

As depicted in the table 7, there is a significant difference in the accuracy between standard procedure and the use of android with t value of -6.270.

RESULTS AND DICUSSION

Table 8(Sig. Rel. in Age); Table 9(Sig. Rel. Working Years)

AGE, LENGTH OF SERVICE CHARTING TIME AND ACCURACY

4. To determine the SIGNIFICANT RELATIONSHIP between respondent’s DEMOGRAPHIC DATA to the LEVEL OF EFFICIENCY

AGE WORKING YEARS

Accuracy

(android)

-0.177 *0.02

5

Significant

Time

(standard)

0.585 **0.00

0

Significant

Time

(Android)

0.574 **0.00

1

Significant

Time

(standard)

0.624 **0.00

0

Significant

Time

(Android)

0.384 *0.030 Significant

AS AGE ACCURACY TIME

AS WORKING YEARS TIME

CONCLUSION The new innovation has proved valuable in enhancing

patient management, facilitating report generation, thereby improving efficiency, quality and accuracy of nurses’ documentation which is essential to competent and optimum patient care.

LES DESIREUX BATCH 2014. LARANJO, ANGOD, BUGTONG

RECOMMENDATIONS

LES DESIREUX BATCH 2014. LARANJO, ANGOD, BUGTONG

1. Hospital Administrators of the selected hospitals.

2. Members of the healthcare team, including the clinical instructors and students affiliated in the hospital must be well-educated and oriented about the new innovation as means of vital signs documentation.

3. A bigger study sample is needed for another phase of clinical trial.

4. A qualitative study using open-ended questionnaires or interviews are recommended.

5. Make the application available to other operating systems such as iOs (Apple), Blackberry OS, and Windows Phone OS.

THANK YOU…