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Using SMS to Provide Continuous Assessment and Improve
Health Outcomes for Children with Asthma
By
NIKHIL KASSETTY
SANDEEP KESHETTI
Introduction
→ The World Health Organization estimated in 2008 as
 People suffering from asthma across the world is 300 million
 People suffering from asthma in U.S is 17.3 billion individuals
including 5 million children
→ Asthma is the most prevalent chronic respiratory disorder in the
U.S
→ Most school absences caused by chronic conditions of asthma in
many children
→ Long term data shows that both prevalence and morbidity
of asthma in the U.S are on the rise
What is the problem?
Got a Solution!
→ Managing Chronic health conditions with the adoption of
mobile phones and text messaging
Why this solution??
→ There are billions of mobile phones exchanging tens of billions of text/SMS messages
daily
→ A survey showed that 27% of North American teens used Text messages at least once a
month
→ It is increasing likely that a child living with asthma can have access to SMS
→ The child’s mobile/phone use can be leveraged to help with asthma management
How it works ??!!!
→ There are several known factors that influence effective management of a chronic
condition including
Open communication
between patient and
health care providers
A patients' awareness of
symptoms and knowledge
of her/his condition and
level of adherence to
medical regiments
Effective communication
may prove as important
as proper medication
choice in long term
success of asthma control
Why we need effective communication??!!!
→ Medical care for pediatric patients that have moderate to severe asthma includes
regular visits to their pulmonologist every 3 to 4 months
→ This communication is vital and there is no communication between patient and
physician between these visits unless there is an emergency situation
→ There are some questionnaires such as Asthma Therapy Assessment
Questionnaire(ATAQ) were developed to assist physicians in identifying children at risk
→ These questions are only administrated when pediatric patients visit their doctors and
not all doctors use them
Effective communication between patients and doctors positively influences
chronic health management, as does increased patients awareness of their
symptoms and general knowledge of the condition
What we are going to develop??
→ Design and evaluation of the system that leverages SMS messaging to facilitate
continuous communication between a child with asthma and a physician who treats
that child based on Health Belief Model(HBM)
Our findings !!
The SMS system
provided
physicians with
continuous
assessment of
their patient’s
asthma
condition
The simple act
of
communicating
a child’s asthma
status
interspersed
with knowledge
about asthma
via SMS
With this leads
to improved
pulmonary
outcomes for
pediatric
patients
Related Work
Mobile applications for Health Management
→ The ubiquity of mobile phones, as well as this platform’s increasing computational and
sensing capabilities, has made it an ideal experimental platform for mobile research
→ These are helpful to support general wellness or to track important objective
indicators of chronic condition
→ To avoid additional hardware and software requirements, researchers have opted to
use the short message service (SMS) that is readily available on mobile phones
→ This study offered patients simple SMS reminders about use of medication, which
helped patients comply with daily medication regiments
→ The Centers for Disease Control (CDC), has used SMS to provide information about HIV
test centers, and to deliver weekly flu maps across the United States
Communication between Stakeholders in Chronic Care
→ Communication is one of the significant elements of social influence and a critical
process to support behavior change
→ It is particularly relevant for patients suffering from chronic diseases, because better
communication leads to better health outcomes
→ Communication tools to support patients and health care providers include:
1. Telemonitoring to monitor patients at a distance
2. Teleconsulting to enable consultation between geographically separated
individuals
3. Patient education
→ The dominant technologies that support communication include web applications,
email communication, or mobile phone(SMS, voice mail)
→ The challenge is that the communication mechanism needs to fit into the daily
routines of clinical practitioners
→ We chose SMS on the pediatric patient’s mobile phone because of highly adaption
rates within the teen/youth population
Health Belief Model
→ Health Belief Model(HBM) is one of the most widely used conceptual frameworks in
health behavior research
→ The HBM explains change and maintenance of health related behaviors and guides the
framework for health behavior interventions
→ This model includes several elements that predict when people will take action to
prevent or control illness
→ Two main components include
1. Symptom awareness
2. Knowledge acquisition
→ These two factors are crucial to individuals engaging in proactive behavior to improve
their condition
System Design
System Design
→ System is design with two parts
1. An SMS service as an asthma survey and education tool for children with asthma
2. A Physician’s Dashboard as an interface to review patient’s status (the web based
visualization tool)
→ The system explicitly supports
→ Communication between the patient and physician
→ Between the physician and the other clinical support staff
→ The system implicitly supports
→ The out of hand communication between the parents or other caregivers
→ Between the doctor’s office and the family
Figure 1 to be included here
SMS Service
→ The SMS service sent questions about asthma management and questions about
asthma knowledge directly to pediatric patients in a predetermined fashion
→ The patient decided what time of day they would like to receive the queries
→ For asthma management, we developed SMS-formatted questions based on a
standard instrument used during doctor visits, the ATAQ (Asthma Therapy Assessment
Questionnaire)
→ In addition, we formulated SMS-formatted asthma knowledge questions
→ The child would be asked whether a statement was true or false and would be sent the
right answer regardless of his or her response
→ Our SMS gateway was instrumented so that we could monitor the response rates of
the participants
SMS Service - Versions
→ We built two versions of the SMS service for the study
1. Query version
2. Query and knowledge version
→ Patients were randomly assigned to one of these groups or to third control group that
receive no SMS messages
Query Version
→ In this version, one of 15 yes/no questions about the patient’s asthma
symptoms and management was sent out every other day
→ Patients data was aggregated and visualized in the physicians
dashboard
Query Version
→ After patients had responded to the 15 questions, the system calculated the “rolling
ATAQ scores” that are sum of the points for a given response set
→ This score categorized patients into three zones
1. RED: needs attention soon (a score of 3+ points)
2. YELLOW: might need attention eventually(1-2 points)
3. GREEN: ok (0 points)
→ In addition, based on questions that indicated that the patient may be trouble or
headed for trouble, the system automatically categorized the patient into the red zone
Query and Knowledge Version
→ This version is the same as the query version with the addition of fifteen true/false
questions about general asthma knowledge on days that they did not receive queries
→ E.g., Asthma is a psychological condition F=False, T=True
→ The system separately calculated the rolling ATAQ scores and the knowledge scores
→ In order to increase the patients knowledge about asthma, patients were told whether
or not they correctly answered the question, and were then given information related
to the specific question
→ The patients response to the knowledge questions were also aggregated in the
physician dashboard and the system calculated the rolling knowledge scores whenever
it had a new answer
User Interaction
→ The layout of the screens varied based on the specific mobile phone’s text messaging
capabilities
→ When a child with asthma received a message, he or she could reply to the message by
entering ‘y/n’ or ‘t/f’
→ For knowledge questions, the SMS service sent the correct information regardless of
the user’s answer
Physician’s Dashboard
→ Physician’s Dashboard was populated with their patients’ SMS responses
→ This allowed physicians to monitor patients’ status and to interact with their care team
for administrating care outside of the physician’s office
→ The web interface helped highlight patients in at least three different zones
1. RED: needs attention soon (a score of 3+ points)
2. YELLOW: might need attention eventually(1-2 points)
3. GREEN: ok (0 points)
Physician’s Dashboard
→ This Dashboard contained all of the relevant care information for each patient in the
study, including
→ Summaries of asthma management status
→ And/or knowledge based on patients responses to the SMS-facilitated surveys,
→ Relevant identification information to link to the electronic medical record system
used in the doctor’s office
→ Occasionally, the physician would be sent email alerts to encourage them to view the
dashboard
→ There were two situations that would trigger the sending of such an email alert
1. When a patient answered “yes” to any of a set of specific “Red zone” questions
 This was intended to inform the physician that one of their patients had
entered the red zone and may need immediate attention
2. When a fresh rolling ATAQ score had been calculated for a given child
 This was intended to remind the physician to review information on this
child
Physician’s Dashboard
→ If, for any reason a physician is concerned about the status of a patient
when viewing his or her detailed information in the dashboard
→ Am email could be sent to that physician’s nurse directly from the
dashboard
→ An option to customise the message should be provided to the physicians
to indicate actions the nurse should take
Study Design
Hypotheses
H1
• Pediatric asthma patients answering regularly-administered questions about their asthma
management via SMS will demonstrate better health outcomes than a control group of
asthma patients, as measured both by a quality of life questionnaire and a pulmonary function
test.
H2
• Pediatric patients answering regularly-administered questions about their asthma
management via SMS and receiving regularly-administered information via SMS intended to
increase their knowledge about asthma will demonstrate better health outcomes, as
measured both by a quality of life questionnaire and a pulmonary function test, compared to
those receiving only regularly-administered SMS questions and controls.
H3
• The rolling ATAQ score calculated by the answers of the SMS queries will provide valid
assessments of pediatric asthma management on a more frequent basis when compared to
the original ATAQ score.
Participants
→ Conducted this study at a private practice in a large metropolitan city.
→ Physicians recruited: 11
→ Children : 30
→ Caregivers: 3
→ Children had to be ten years age or older who have their own phone and able to read
at a 5th grade level.
→ In addition, children had to be regular patients who had met health care providers at
least once before they participate in the study.
→ Children randomly assigned to one of three groups
→ Control group
→ Query group
→ Query and knowledge group
The age and sex of participants
Method
→ The duration of the study was the time between two scheduled visits to the doctor’s
office, typically 3-4 months.
→ Patients that were assigned to the intervention group received SMS messages every
day(Query & knowledge group) or every other day(query group)
→ Physician participants could access the dashboard to review the status of their
participating patients and received alerts via email when a patient was in the red zone.
Research tools used in each phase
Method - Phases
First doctor’s visit
• Consent form for
caregivers
• Need to fill out a
set of surveys
about technology
usage and the
PACQLQ
(Pediatric Asthma
Caregiver Quality
of Life
Questionnaire)
• Physicians was
scheduled for an
introductory
survey
During the study
• Our system
logged SMS data
transactions and
the usage of the
physician’s
dashboard
Follow up visit
• After the follow
visit, patients
were
administered a
number of
surveys including
• Asthma
knowledge test
• PAQLQ
• ATAQ
• and pulmonary
function test
• Interviews
Results
Results
→ The section consists of three parts
1. Characteristics of communication technology usage in pediatric asthma patients
and their caregivers
2. Intervention results
3. Utilization of our intervention
In all cases where we compare differences between
groups, we will present both the p value and the effect size. The
effect sizes, r, calculated based on Cohen's formula were interpreted according to
Cohen’s guidelines:
r < 0.2 (Small effect size)
r = 0.5 (Medium effect size)
r > 0.8 (Large effect size)
Thus, if we have medium or large effect size, the statistical outcomes are still valuable.
• Cohen's d is defined as the difference between two means divided by a standard deviation for the data
X1- mean of group 1
X2- mean of group 3
S- Pooled standard deviation(Both Groups).
Here S^2 indicates
variance.
When test value “t” and degree of freedom “df” values are found then,
Cohen’s d and effect size “r” can be calculated as follows:
t(df)= some value.
t(8)=3.11
Here t= 3.11 and df= 8.
r = sqrt( ( t2 ) / ( ( t2 ) + ( df * 1) ) )
d = ( t*2 ) / ( sqrt(df) )
By using these formulae , we can calculate the “r” value and “d” value.
r = sqrt( (3.112 ) / ( (3.112 ) + ( 8 * 1) ) )
r = 0.74
d = ( 3.11*2 ) / ( sqrt(8) )
d = 2.20
Characteristics of Participants- Communication Technology
Usage
Description Count
Total families participated 30
Internet access at home 29
Pediatric patients who accessed internet 6
Care givers who accessed internet 9
Families who used SMS 2
Description Count
Total families participated 30
Mobile service usage count 30
Families has data plan 1
Families had public insurance 6
Caregivers who had data plan 21
Children who have data plan 13
Internet
Mobile
Health Outcomes
1. Baseline at the first doctor’s visit
→ Our result indicate that the three invention groups did not differ on any meaningful
clinical or psychological characteristics
→ We did not find significant age, asthma knowledge, quality of life perception (PAQLQ,
PACQLQ), or pulmonary function differences across all participants
→ In terms of the scores of asthma knowledge test, we found that age was significantly
correlated with the scores
→ Caregiver’s quality of life score(PACQLQ) was significantly correlated with their child’s
quality of life score
→ Caregiver’s quality of life score (mean: 5.4) was higher than pediatric patients quality
of life score(mean: 4.97)
→ Thus, we replicated a result from the literature, which caregivers tend to overestimate
quality of life when compared to the child's own perception
Health Outcomes
2. Outcomes
→ Data for 15 pediatric asthma patients and 6 physicians.
→ The progress of participants during the course as shown below.
Enrollment table of the pediatric participants through the study and the age, sex,
insurance type of participants at the follow up visits.
Health Outcomes
2. Outcomes
→ Clinical and psychological outcomes
To test hypothesis H2,
Compare the pre-post differences of PAQLQ and FEF25-75% between the control and the other two groups.
Thus patients answering regularly-administered questions about their asthma
symptoms and management did not demonstrate better health outcomes, as
measured both by quality of life questionnaire and pulmonary function test, as
compared to control. Hence, we reject hypothesis H1.
Thus, pediatric patients answering regularly-administered questions about both
asthma management and information via SMS demonstrated better pulmonary
function and increased their knowledge about asthma compared to those receiving
only regularly-administered SMS questions or no SMS questions.
To test hypothesis H2,
we compared the pre-post differences of PAQLQ and FEF25-75% between the Query group and the Query
& Knowledge group, and the Control group and Query & Knowledge group
PAQLQ improvement in the Query & Knowledge group was not statistically different from the query
group or the control group.
Statistically significant differences were found for the FEF25-75% in the Query & Knowledge group
compared to the other two groups.
Query group- t(8)=3.11, p=0.007, Cohen’s d= 2.20, effect-size r=0.74)
Control group- t(9)=2.04, p=0.036, Cohen’s d= 1.36, effect-size r=0.56)
Query and - t(13)=2.15, p=0.026, Cohen’s d= 1.19, effect-size r=0.51)
Knowledge group
Utilization of the Intervention
The (original) ATAQ score and the rolling ATAQ score at the follow up visits.
The rolling ATAQ score calculated by the answers of the SMS queries provided valid
assessments of pediatric asthma management on a more frequent basis when
compared to the standard ATAQ score
Based on the statistics :
Total scores in the original ATAQ at the follow up visits (r=0.91, p< 0.001)
Total scores in the rolling ATAQ at the follow up visits (r= -0.89 , p< 0.001)
Utilization of the Intervention
Daily response rate
The total number of alerts sent via email to each
physician and the number of logins by each physician
Discussion
→ We successfully deployed a new intervention for pediatric asthma management in an
ecologically valid setting using a widely adopted mobile technology, SMS
→ The new intervention was found to have some positive effects on health outcomes
and asthma knowledge of the patients
→ Patients readily adopted it and maintained a high rate of response throughout the
intervention period
→ Thus, our system can provide the physicians constant assessment of their patients
asthma between visits
→ Some of the physicians responded positively to the use of SMS and dashboard
technology
→ In particular, they altered their practise such that they would access the dashboard
when they received email alerting them that their patients has entered the red zone
Health Improvement Outcomes
Received partial support for the hypothesis.
Found that the pediatric asthma patients that both answered questions about their asthma
status and received information about asthma showed improved health outcomes, as
evidenced by lung function analyses compared to the query only and control groups.
Some participants expressed their words :
1. “It [knowledge] helps me become more aware of what causes asthma.”
2. “If I forgot my medicine in the morning, and I got the text, remembered what I
had to do[take medicine] after I got the text.”
Found that pulmonary function was not correlated significantly with quality of life in
patients with moderate to severe asthma. This correlation was only found in
patients with mild asthma.
Since patients have different severities of asthma, it could have affected the results.
SMS as a Communication Tool in the Clinical Setting
Characteristic Previous study Our Study
Response rate 69% >87%
Age of participants Median age 13 years Median age 38.5 years
Duration of study 2 months 3-4 months
Questions per day 4 1
 The rolling ATAQ scores can provide time-sensitive and unique information about the child’s asthma
symptoms during the span between two regularly scheduled visits and thus improve current clinical practice.
 SMS for question and answer exchanges may be a cost-and labor-effective.
Impact on Clinical Practice
Improve communication between the patients and the caregivers(specifically physicians)
Physicians should present various terms in the context of SMS queries such that the doctor can
confirm that the patients are aware of the distinctions between different types of medicines.
“One participant got confused about oral steroid as compared with ProAir [rescue
bronchodilator medication.”
With the help of SMS system doctor can know the patient’s asthma status even though doctor did
not contact the patient between visits.
One participant mentioned that “He(doctor) already knew what I did, so he talked about
what I was supposed to do.”
SMS system indirectly mediates communication between patients and their parents.
One participant mentioned “ I had to ask mom to tell me what it means… I didn’t understand the
question… ‘have you taken controller medication everyday in the past four weeks?’”
Limitations
LIMITATION GOAL
Study with sample size (N=15)which is small. Replicate the study with a larger size.
Samples were mostly people with middle
Income.
Study with more economically diverse
Sample.
SMS questions sent to children must be
appropriate to someone with a 5th grade
level of literacy.
To maintain an appropriate terminology and
make the SMS questions easily understood
by the children.
Conclusion and Future Work
SMS is ubiquitous, easy to use and inexpensive.
SMS system can be built in such a way that healthcare providers could customize
the database of text messages created for their patients , from this we can say that
SMS usage can be embedded into the clinical practice.
Future systems may provide a channel for caregivers to understand their child’s
needs. For example, such channel can be called as parent’s dashboard. This can
help the parents to know what the child is doing in the SMS system.
Finally, study indicated that engaging a child’s social network may lead to better
asthma management.
THANK YOU !!!
QUERIES !!!

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Health Informatics- UMKC, Presentation

  • 1. Using SMS to Provide Continuous Assessment and Improve Health Outcomes for Children with Asthma By NIKHIL KASSETTY SANDEEP KESHETTI
  • 2. Introduction → The World Health Organization estimated in 2008 as  People suffering from asthma across the world is 300 million  People suffering from asthma in U.S is 17.3 billion individuals including 5 million children → Asthma is the most prevalent chronic respiratory disorder in the U.S → Most school absences caused by chronic conditions of asthma in many children → Long term data shows that both prevalence and morbidity of asthma in the U.S are on the rise What is the problem?
  • 3. Got a Solution! → Managing Chronic health conditions with the adoption of mobile phones and text messaging Why this solution?? → There are billions of mobile phones exchanging tens of billions of text/SMS messages daily → A survey showed that 27% of North American teens used Text messages at least once a month → It is increasing likely that a child living with asthma can have access to SMS → The child’s mobile/phone use can be leveraged to help with asthma management
  • 4. How it works ??!!! → There are several known factors that influence effective management of a chronic condition including Open communication between patient and health care providers A patients' awareness of symptoms and knowledge of her/his condition and level of adherence to medical regiments Effective communication may prove as important as proper medication choice in long term success of asthma control
  • 5. Why we need effective communication??!!! → Medical care for pediatric patients that have moderate to severe asthma includes regular visits to their pulmonologist every 3 to 4 months → This communication is vital and there is no communication between patient and physician between these visits unless there is an emergency situation → There are some questionnaires such as Asthma Therapy Assessment Questionnaire(ATAQ) were developed to assist physicians in identifying children at risk → These questions are only administrated when pediatric patients visit their doctors and not all doctors use them Effective communication between patients and doctors positively influences chronic health management, as does increased patients awareness of their symptoms and general knowledge of the condition
  • 6. What we are going to develop?? → Design and evaluation of the system that leverages SMS messaging to facilitate continuous communication between a child with asthma and a physician who treats that child based on Health Belief Model(HBM) Our findings !! The SMS system provided physicians with continuous assessment of their patient’s asthma condition The simple act of communicating a child’s asthma status interspersed with knowledge about asthma via SMS With this leads to improved pulmonary outcomes for pediatric patients
  • 8. Mobile applications for Health Management → The ubiquity of mobile phones, as well as this platform’s increasing computational and sensing capabilities, has made it an ideal experimental platform for mobile research → These are helpful to support general wellness or to track important objective indicators of chronic condition → To avoid additional hardware and software requirements, researchers have opted to use the short message service (SMS) that is readily available on mobile phones → This study offered patients simple SMS reminders about use of medication, which helped patients comply with daily medication regiments → The Centers for Disease Control (CDC), has used SMS to provide information about HIV test centers, and to deliver weekly flu maps across the United States
  • 9. Communication between Stakeholders in Chronic Care → Communication is one of the significant elements of social influence and a critical process to support behavior change → It is particularly relevant for patients suffering from chronic diseases, because better communication leads to better health outcomes → Communication tools to support patients and health care providers include: 1. Telemonitoring to monitor patients at a distance 2. Teleconsulting to enable consultation between geographically separated individuals 3. Patient education → The dominant technologies that support communication include web applications, email communication, or mobile phone(SMS, voice mail) → The challenge is that the communication mechanism needs to fit into the daily routines of clinical practitioners → We chose SMS on the pediatric patient’s mobile phone because of highly adaption rates within the teen/youth population
  • 10. Health Belief Model → Health Belief Model(HBM) is one of the most widely used conceptual frameworks in health behavior research → The HBM explains change and maintenance of health related behaviors and guides the framework for health behavior interventions → This model includes several elements that predict when people will take action to prevent or control illness → Two main components include 1. Symptom awareness 2. Knowledge acquisition → These two factors are crucial to individuals engaging in proactive behavior to improve their condition
  • 12. System Design → System is design with two parts 1. An SMS service as an asthma survey and education tool for children with asthma 2. A Physician’s Dashboard as an interface to review patient’s status (the web based visualization tool) → The system explicitly supports → Communication between the patient and physician → Between the physician and the other clinical support staff → The system implicitly supports → The out of hand communication between the parents or other caregivers → Between the doctor’s office and the family Figure 1 to be included here
  • 13. SMS Service → The SMS service sent questions about asthma management and questions about asthma knowledge directly to pediatric patients in a predetermined fashion → The patient decided what time of day they would like to receive the queries → For asthma management, we developed SMS-formatted questions based on a standard instrument used during doctor visits, the ATAQ (Asthma Therapy Assessment Questionnaire) → In addition, we formulated SMS-formatted asthma knowledge questions → The child would be asked whether a statement was true or false and would be sent the right answer regardless of his or her response → Our SMS gateway was instrumented so that we could monitor the response rates of the participants
  • 14. SMS Service - Versions → We built two versions of the SMS service for the study 1. Query version 2. Query and knowledge version → Patients were randomly assigned to one of these groups or to third control group that receive no SMS messages
  • 15. Query Version → In this version, one of 15 yes/no questions about the patient’s asthma symptoms and management was sent out every other day → Patients data was aggregated and visualized in the physicians dashboard
  • 16. Query Version → After patients had responded to the 15 questions, the system calculated the “rolling ATAQ scores” that are sum of the points for a given response set → This score categorized patients into three zones 1. RED: needs attention soon (a score of 3+ points) 2. YELLOW: might need attention eventually(1-2 points) 3. GREEN: ok (0 points) → In addition, based on questions that indicated that the patient may be trouble or headed for trouble, the system automatically categorized the patient into the red zone
  • 17. Query and Knowledge Version → This version is the same as the query version with the addition of fifteen true/false questions about general asthma knowledge on days that they did not receive queries → E.g., Asthma is a psychological condition F=False, T=True → The system separately calculated the rolling ATAQ scores and the knowledge scores → In order to increase the patients knowledge about asthma, patients were told whether or not they correctly answered the question, and were then given information related to the specific question → The patients response to the knowledge questions were also aggregated in the physician dashboard and the system calculated the rolling knowledge scores whenever it had a new answer
  • 18. User Interaction → The layout of the screens varied based on the specific mobile phone’s text messaging capabilities → When a child with asthma received a message, he or she could reply to the message by entering ‘y/n’ or ‘t/f’ → For knowledge questions, the SMS service sent the correct information regardless of the user’s answer
  • 19. Physician’s Dashboard → Physician’s Dashboard was populated with their patients’ SMS responses → This allowed physicians to monitor patients’ status and to interact with their care team for administrating care outside of the physician’s office → The web interface helped highlight patients in at least three different zones 1. RED: needs attention soon (a score of 3+ points) 2. YELLOW: might need attention eventually(1-2 points) 3. GREEN: ok (0 points)
  • 20. Physician’s Dashboard → This Dashboard contained all of the relevant care information for each patient in the study, including → Summaries of asthma management status → And/or knowledge based on patients responses to the SMS-facilitated surveys, → Relevant identification information to link to the electronic medical record system used in the doctor’s office → Occasionally, the physician would be sent email alerts to encourage them to view the dashboard → There were two situations that would trigger the sending of such an email alert 1. When a patient answered “yes” to any of a set of specific “Red zone” questions  This was intended to inform the physician that one of their patients had entered the red zone and may need immediate attention 2. When a fresh rolling ATAQ score had been calculated for a given child  This was intended to remind the physician to review information on this child
  • 21. Physician’s Dashboard → If, for any reason a physician is concerned about the status of a patient when viewing his or her detailed information in the dashboard → Am email could be sent to that physician’s nurse directly from the dashboard → An option to customise the message should be provided to the physicians to indicate actions the nurse should take
  • 23. Hypotheses H1 • Pediatric asthma patients answering regularly-administered questions about their asthma management via SMS will demonstrate better health outcomes than a control group of asthma patients, as measured both by a quality of life questionnaire and a pulmonary function test. H2 • Pediatric patients answering regularly-administered questions about their asthma management via SMS and receiving regularly-administered information via SMS intended to increase their knowledge about asthma will demonstrate better health outcomes, as measured both by a quality of life questionnaire and a pulmonary function test, compared to those receiving only regularly-administered SMS questions and controls. H3 • The rolling ATAQ score calculated by the answers of the SMS queries will provide valid assessments of pediatric asthma management on a more frequent basis when compared to the original ATAQ score.
  • 24. Participants → Conducted this study at a private practice in a large metropolitan city. → Physicians recruited: 11 → Children : 30 → Caregivers: 3 → Children had to be ten years age or older who have their own phone and able to read at a 5th grade level. → In addition, children had to be regular patients who had met health care providers at least once before they participate in the study. → Children randomly assigned to one of three groups → Control group → Query group → Query and knowledge group The age and sex of participants
  • 25. Method → The duration of the study was the time between two scheduled visits to the doctor’s office, typically 3-4 months. → Patients that were assigned to the intervention group received SMS messages every day(Query & knowledge group) or every other day(query group) → Physician participants could access the dashboard to review the status of their participating patients and received alerts via email when a patient was in the red zone. Research tools used in each phase
  • 26. Method - Phases First doctor’s visit • Consent form for caregivers • Need to fill out a set of surveys about technology usage and the PACQLQ (Pediatric Asthma Caregiver Quality of Life Questionnaire) • Physicians was scheduled for an introductory survey During the study • Our system logged SMS data transactions and the usage of the physician’s dashboard Follow up visit • After the follow visit, patients were administered a number of surveys including • Asthma knowledge test • PAQLQ • ATAQ • and pulmonary function test • Interviews
  • 28. Results → The section consists of three parts 1. Characteristics of communication technology usage in pediatric asthma patients and their caregivers 2. Intervention results 3. Utilization of our intervention In all cases where we compare differences between groups, we will present both the p value and the effect size. The effect sizes, r, calculated based on Cohen's formula were interpreted according to Cohen’s guidelines: r < 0.2 (Small effect size) r = 0.5 (Medium effect size) r > 0.8 (Large effect size) Thus, if we have medium or large effect size, the statistical outcomes are still valuable.
  • 29. • Cohen's d is defined as the difference between two means divided by a standard deviation for the data X1- mean of group 1 X2- mean of group 3 S- Pooled standard deviation(Both Groups). Here S^2 indicates variance.
  • 30. When test value “t” and degree of freedom “df” values are found then, Cohen’s d and effect size “r” can be calculated as follows: t(df)= some value. t(8)=3.11 Here t= 3.11 and df= 8. r = sqrt( ( t2 ) / ( ( t2 ) + ( df * 1) ) ) d = ( t*2 ) / ( sqrt(df) ) By using these formulae , we can calculate the “r” value and “d” value. r = sqrt( (3.112 ) / ( (3.112 ) + ( 8 * 1) ) ) r = 0.74 d = ( 3.11*2 ) / ( sqrt(8) ) d = 2.20
  • 31. Characteristics of Participants- Communication Technology Usage Description Count Total families participated 30 Internet access at home 29 Pediatric patients who accessed internet 6 Care givers who accessed internet 9 Families who used SMS 2 Description Count Total families participated 30 Mobile service usage count 30 Families has data plan 1 Families had public insurance 6 Caregivers who had data plan 21 Children who have data plan 13 Internet Mobile
  • 32. Health Outcomes 1. Baseline at the first doctor’s visit → Our result indicate that the three invention groups did not differ on any meaningful clinical or psychological characteristics → We did not find significant age, asthma knowledge, quality of life perception (PAQLQ, PACQLQ), or pulmonary function differences across all participants → In terms of the scores of asthma knowledge test, we found that age was significantly correlated with the scores → Caregiver’s quality of life score(PACQLQ) was significantly correlated with their child’s quality of life score → Caregiver’s quality of life score (mean: 5.4) was higher than pediatric patients quality of life score(mean: 4.97) → Thus, we replicated a result from the literature, which caregivers tend to overestimate quality of life when compared to the child's own perception
  • 33. Health Outcomes 2. Outcomes → Data for 15 pediatric asthma patients and 6 physicians. → The progress of participants during the course as shown below. Enrollment table of the pediatric participants through the study and the age, sex, insurance type of participants at the follow up visits.
  • 34. Health Outcomes 2. Outcomes → Clinical and psychological outcomes To test hypothesis H2, Compare the pre-post differences of PAQLQ and FEF25-75% between the control and the other two groups. Thus patients answering regularly-administered questions about their asthma symptoms and management did not demonstrate better health outcomes, as measured both by quality of life questionnaire and pulmonary function test, as compared to control. Hence, we reject hypothesis H1.
  • 35. Thus, pediatric patients answering regularly-administered questions about both asthma management and information via SMS demonstrated better pulmonary function and increased their knowledge about asthma compared to those receiving only regularly-administered SMS questions or no SMS questions. To test hypothesis H2, we compared the pre-post differences of PAQLQ and FEF25-75% between the Query group and the Query & Knowledge group, and the Control group and Query & Knowledge group PAQLQ improvement in the Query & Knowledge group was not statistically different from the query group or the control group. Statistically significant differences were found for the FEF25-75% in the Query & Knowledge group compared to the other two groups. Query group- t(8)=3.11, p=0.007, Cohen’s d= 2.20, effect-size r=0.74) Control group- t(9)=2.04, p=0.036, Cohen’s d= 1.36, effect-size r=0.56) Query and - t(13)=2.15, p=0.026, Cohen’s d= 1.19, effect-size r=0.51) Knowledge group
  • 36. Utilization of the Intervention The (original) ATAQ score and the rolling ATAQ score at the follow up visits. The rolling ATAQ score calculated by the answers of the SMS queries provided valid assessments of pediatric asthma management on a more frequent basis when compared to the standard ATAQ score Based on the statistics : Total scores in the original ATAQ at the follow up visits (r=0.91, p< 0.001) Total scores in the rolling ATAQ at the follow up visits (r= -0.89 , p< 0.001)
  • 37. Utilization of the Intervention Daily response rate The total number of alerts sent via email to each physician and the number of logins by each physician
  • 38. Discussion → We successfully deployed a new intervention for pediatric asthma management in an ecologically valid setting using a widely adopted mobile technology, SMS → The new intervention was found to have some positive effects on health outcomes and asthma knowledge of the patients → Patients readily adopted it and maintained a high rate of response throughout the intervention period → Thus, our system can provide the physicians constant assessment of their patients asthma between visits → Some of the physicians responded positively to the use of SMS and dashboard technology → In particular, they altered their practise such that they would access the dashboard when they received email alerting them that their patients has entered the red zone
  • 39. Health Improvement Outcomes Received partial support for the hypothesis. Found that the pediatric asthma patients that both answered questions about their asthma status and received information about asthma showed improved health outcomes, as evidenced by lung function analyses compared to the query only and control groups. Some participants expressed their words : 1. “It [knowledge] helps me become more aware of what causes asthma.” 2. “If I forgot my medicine in the morning, and I got the text, remembered what I had to do[take medicine] after I got the text.” Found that pulmonary function was not correlated significantly with quality of life in patients with moderate to severe asthma. This correlation was only found in patients with mild asthma. Since patients have different severities of asthma, it could have affected the results.
  • 40. SMS as a Communication Tool in the Clinical Setting Characteristic Previous study Our Study Response rate 69% >87% Age of participants Median age 13 years Median age 38.5 years Duration of study 2 months 3-4 months Questions per day 4 1  The rolling ATAQ scores can provide time-sensitive and unique information about the child’s asthma symptoms during the span between two regularly scheduled visits and thus improve current clinical practice.  SMS for question and answer exchanges may be a cost-and labor-effective.
  • 41. Impact on Clinical Practice Improve communication between the patients and the caregivers(specifically physicians) Physicians should present various terms in the context of SMS queries such that the doctor can confirm that the patients are aware of the distinctions between different types of medicines. “One participant got confused about oral steroid as compared with ProAir [rescue bronchodilator medication.” With the help of SMS system doctor can know the patient’s asthma status even though doctor did not contact the patient between visits. One participant mentioned that “He(doctor) already knew what I did, so he talked about what I was supposed to do.” SMS system indirectly mediates communication between patients and their parents. One participant mentioned “ I had to ask mom to tell me what it means… I didn’t understand the question… ‘have you taken controller medication everyday in the past four weeks?’”
  • 42. Limitations LIMITATION GOAL Study with sample size (N=15)which is small. Replicate the study with a larger size. Samples were mostly people with middle Income. Study with more economically diverse Sample. SMS questions sent to children must be appropriate to someone with a 5th grade level of literacy. To maintain an appropriate terminology and make the SMS questions easily understood by the children.
  • 43. Conclusion and Future Work SMS is ubiquitous, easy to use and inexpensive. SMS system can be built in such a way that healthcare providers could customize the database of text messages created for their patients , from this we can say that SMS usage can be embedded into the clinical practice. Future systems may provide a channel for caregivers to understand their child’s needs. For example, such channel can be called as parent’s dashboard. This can help the parents to know what the child is doing in the SMS system. Finally, study indicated that engaging a child’s social network may lead to better asthma management.