Internet of Things (IoT)in Pospartum Depression

SLIDES BY: ASTRI MUTIAR, S.KEP., NERS., MS

Astri Mutiar

Ciamis, 15 April 1991

Lembang/Sukabumi

astrimutiar@gmail.com

2016 - 2018

Master degree, National Cheng

Kung University, Taiwan

2009 - 2014

Bachelor degree, Universitas

Padjadjaran

Almost ‘anything’

-including ‘living things’-

connected to the internet

regardless of location or other

physical restriction

30.3% 69.7%

Percentage of IoT devices

found in healthcare

Percentage of IoT devices

found in elsewhere

Deployment of the Industrial Internet can help to drive

down costs from clinical and operations inefficiencies by

roughly 25% or about $100 billion per year

30.3% 69.7%Sources: Intel, A guide to the Internet of Things & General Electric Company (2012) Industrial Internet: Pushing the boundaries of minds and machines

What can IOT do for healthcare?

Ability to react on speed

Hig

her

qua

lity d

eliv

ery

Ability to act at scale

UrbanRural

Small data Big data

Internet of Things on Healthcare

• The technology will play a prominent role in patient tele-

monitoring in hospitals and more importantly at home (Jara, Zamora &

Skarmeta, 2013; Byun, Nasridinov &Park, 2014; Trinugroho & Baptista, 2017).

• The use of these technologies empowers patients to follow self-

care principles which lead to cost-effectiveness of healthcare

services increased patient satisfaction and better self-

management. (Hossein, Arji, Shahmoradi, Safdari, Nilashi & Alizadeh, 2018).

Apa

Itu?

Internet of Things on Healthcare

Designed to remind individuals to take their medication at the

right time and to ease the burden of complex medication

regimen

Electronic pill

dispenser

The lenses may ultimately be able to ration glucose levels of

diabetes patients through their tears and then hoard the data in

a mobile device

Connected

Contact Lenses

To reduce healthcare associated infections (HAIs), companies such

as Intelligent M, HyGreen, IBM in collaboration with OhioHealth,

and BIOVIGIL are creating sensor technologies and networks to

monitor hand washing practices in real-time.

Hand Wash

Detector

Postpartum Depression

Week 1 Week 2 Week 3 Week 4 week 5 Week 6 Week 7

Postpartum Depression

No suicidal idea Suicidal idea

Diagnostic assessment

• Postpartum depressive

symptoms

• Postpartum blues

• Postpartum anxiety

Screening tools assessment

(Alici-Evcimen & Sudak, 2003; Bloch, 2006)

(APA, 2013)

Postpartum Depression

• The depressive symptoms in postpartum period include

mood disorder, anxiety, disturbed sleep, guilt,

worthlessness, restlessness, low self-esteem, weight loss,

impaired concentration, loss of energy, pessimism and

appetite disturbed, loss interest and feeling inadequacy

ability to giving care to the infant (APA, 2013; Klainin, 2009; Almond,

2009; Sharma, Rai, & Pathak, 2015).

• It can affect mother’s condition as well quality of life (Field,

2010; Zajicek-Farber, 2010).

Internet of Things in

Postpartum Depression

1. Monitoring changes in

heart rate

2. Used k-means

algorithm

3. Assessed with smart

watch

4. Connected with cloud

on mobile device

Real-time Maternal

Stress Monitoring

Got 97.9% accuracy

after tested on dataset

Internet of Things in

Postpartum Depression

Internet of Things in

Postpartum Depression

1. MumMoodBooster

intervention delivered

through websites (partner’s

website, coach’s website,

administrative website)

2. Treatment consisted of six

interactive sessions that were

sequentially accessed and

designed to encourage

optimal engagement and

behavior change

Web-Based Intervention

for Postpartum Depression

• 79% of women no longer

met DSM-IV

• Got 90% rate of women

satisfaction to programs

Milgrom, J., Danaher, B. G., Gemmill, A. W., Holt, C., Holt, C. J., Seeley, J. R., ... & Ericksen, J.

(2016). Internet cognitive behavioral therapy for women with postnatal depression: a randomized

controlled trial of MumMoodBooster. Journal of medical Internet research, 18(3).

Internet of Things in Postpartum Depression

Internet of Things in Postpartum Depression

Internet of Things in

Postpartum Depression

1. The intervention is delivered

by email and interactive

websites, combining text,

pictures, prerecorded audio

files, and user input

2. Three phases (second

trimester 21–25 and ends in

37 weeks; infant is 2–3-

weeks-old, last 6 weeks;

final phase 18-week period

11.5 months.

Internet-based program

preventive intervention for

depressive symptoms

• Got 21.5–26.6% reduction on

postpartum depression

• Mamma Mia prevent at least minor

to moderate depression.

Haga, S. M., Drozd, F., Lisøy, C., Wentzel-Larsen, T., & Slinning, K. (2018). Mamma Mia–A

randomized controlled trial of an internet-based intervention for perinatal depression. Psychological

medicine, 1-9.

Internet of Things in

Postpartum Depression