Quid - Voice of Patient - Diabetes Type II

V O I C E O F T H E PAT I E N T

D I A B E T E S T Y P E I I

This report summarizes what you can find utilizing Quid to understand the issues

patients face and their attitudes towards the drugs they use during treatment.

We analyzed 40,000 patient posts from a leading forum for Type II Diabetes from

November 2006 through early March 2016.

See Appendix for more on how Quid works

18% Insulin Injections

11% Treatment Side Effects

10% Diet & Desserts

10%Cardiovascular Problems

7% Diabetic Neuropathy

7%Understanding Treatment Options

5% Insulin Pumps

6%Morning Blood Glucose Levels

6% Insulin Resistance

5% Dealing with Insurance

5%Weight Management

5% Hypoglycemia

4%Long vs. Short Acting Insulin

A network map of the forum posts reveals 13 key themes.

Percentage reflects proportion of posts in the network about that topic.



10% Diet & Desserts


Top patient concerns are dealing with insulin injections, side effects, diet, and preventing cardiovascular problems.

TIGHTER CLUSTER

DISPERSED CLUSTER

A more dispersed topic cluster indicates more language diversity. The tighter a cluster, the more identical the terms.



10% Diet & Desserts


These topics also generated a wider variety of discussion.


Let’s dive deeper to better understand the wide variety of issues surrounding insulin injections.

Insulin Injections sub topics

1Changing Needles & Picking Needle Gauge

2Confirming Frequency of Shots

4Switching from Pills to Shots

3Choosing Drugs & Dosages

“ I a m u p t o 5 s o m e t i m e s s i x s h o t s a d a y a n d w i s h i t w o u l d g o a w a y. ”

“ I f i n d i t i s a l o t l e s s o f a p r o b l e m w h e n I s k i p t h e p i l l s a n d u s e i n s u l i n o n l y. W h a t I w a s t o l d i s t h a t i n s u l i n m a k e s y o u f a t , w h i c h i s d e f i n i t e l y t r u e . ”

“ I w a s u s i n g L e v e m i r a n d w e h a d t o b u m p u p t h e d o s e b e c a u s e n u m b e r s w e r e n ' t r i g h t … F i n a l l y I s w i t c h e d t o L a n t u s . I t a k e o n l y o n e s h o t i n t h e e v e n i n g . ”

“ I s t a r t e d o u t w i t h 6 m m o n m y p e n , a n d a t f i r s t t h o s e n e e d l e s d i d n ' t s t i n g g o i n g i n m y a b d o m e n . Ye s t e r d a y, t h e y r e a l l y s t a r t e d t o s t i n g … ”

Across every region of the network, there is a relatively even mix of positive and negative sentiment.

Negative Neutral Positive

Let’s aggregate the posts by topic to see which skew more negative or positive in

terms of the sentiments expressed.

6 Diabetic Neuropathy

5Understanding Treatment Options

4 Diet & Desserts

2Treatment Side Effects

1 Insulin Injections

3Cardiovascular Problems


Thickness of links represents the correlation in language used between two topics.

7 Insulin Resistance

8Morning Blood Glucose Levels

9Weight Management

10Dealing with Insurance

11 Hypoglycemia

12 Insulin Pumps

13Long vs. Short Acting Insulin

1

2

3

4

5

6

78

910

11

12

13Sized by volume Colored by overall sentiment

6 Diabetic Neuropathy

5Understanding Treatment Options

1 Insulin Injections

3Cardiovascular Problems

8Morning Blood Glucose Levels

11 Hypoglycemia

1

3

5

6

8

11

Six of the thirteen key topics are discussed with significantly more negative sentiment.

Insulin Pumps12The discussion surrounding insulin pumps is the only key topic with a more positive sentiment.

Now let’s take a look at how strongly the language of each post connects distinct parts of the

overall conversation.

Colored by betweenness centrality

Topics involving more unique issues are found isolated around the periphery of the network. Diabetic

Neuropathy

Insulin Pumps

Long vs. Short Acting Insulin

Cardiovascular Problems

Although Cardiovascular Problems is the third largest topic by volume, the language used in these posts is very different than for the other topics.

Which drugs are mentioned most often in the forum?

Posts mentioning drugs, grouped and colored by drug, sized by volume

1 Metformin/Glucophage

2 Lantus

3 Byetta

4 Levemir

5GlipiZIDE/ Glucotrol

6 Victoza

7 Actos

8 Januvia

9 Janumet

10 Avandia

11

12

Amaryl

13

14

Invokana

15

Bydureon

16

Farxiga

17

Riomet

Tradjenta

Afrezza

17

16

15

14

13

1211

10 9

8

76

5

4

3

2

1

Thickness of links represents the correlation in language used between posts.

Sentiment

Volu

me*


442

96

21

5

*Log scale

Metformin/Glucophage

Lantus

Byetta

Levemir

GlipiZIDE/ Glucotrol

Victoza

Januvia

Actos

JanumetAvandia

Amaryl

Invokana

Riomet

Farxiga

Afrezza

Bydureon

Tradjenta

Metformin/Glucophage

Lantus

Byetta

LevemirVictoza

Januvia

Actos

Among drugs with a significant number of mentions, Lantus is included in posts expressing the most positive sentiment.

GlipiZIDE/ Glucotrol

How dispersed are the mentions of the top drugs across the forum?

Metformin is mentioned most frequently, and in every topic in the network…

Posts mentioning Metformin, colored by topic

…but mainly in understanding treatment options, insulin injections, treatment side effects, and weight management.

Posts mentioning Metformin, colored by topic

Lantus is mentioned in the majority of topics…

Posts mentioning Lantus, colored by topic

…but primarily in insulin injections and long vs short acting insulin.

Posts mentioning Lantus, colored by topic

Byetta is mentioned in fewer topics…

Posts mentioning Byetta, colored by topic

…with a strong concentration in treatment side effects.

Posts mentioning Byetta, colored by topic

Which side effects related to Byetta do patients struggle with?

Posts in the Treatment Side Effects discussion mentioning Byetta

2Initial Side Effects Upon Switching (e.g. sickness & weight loss)

1 Appetite Suppression

“ B y e t t a h a s s o m e p r e t t y n a s t y s i d e e f f e c t s w h e n y o u f i r s t s t a r t i t . . . a t l e a s t i t d i d f o r m e . I w a s s i c k f o r t h e f i r s t 3 w e e k s I w a s o n i t w i t h v o m i t i n g , s t o m a c h p a i n s , a n d h e a d a c h e s . ”

“ I t i s i m p o r t a n t t o w a i t a t l e a s t 1 5 m i n u t e s a f t e r t h e s h o t b e f o r e e a t i n g t o g e t t h e m a x i m u m e f f e c t f o r a p p e t i t e c o n t r o l . ”

We’ve seen that the conversations between diabetes patients can shed light on their

experiences as they treat the disease.

But there are still more subtle themes and strong sentiment hidden in the patient data.

From here, we can explore many more questions to better understand the concerns

of the diabetes patient.

Quid can decipher any large set of text records related to your brand, whether product reviews,

survey results, blogs, or reports in the press.

Contact us for more information.

[email protected]

Quid.com

A P P E N D I X

H O W Q U I D W O R K S

Quid reads any text to identify key words, phrases, people, companies and institutions.

Then it compares words from each document to create links between them based on similar language.

Quid repeats the process at immense scale, producing a network that shows how similar all the documents are to one another.

H O W T O R E A D A N E T W O R K

Similar nodes typically cluster together, and clusters are grouped by color

Example network, colored by cluster, sized by degree

Less distance between clusters indicates a high number of inter-related documents

Greater distance between clusters indicates a low number of inter-related documents

Centrally located nodes are core to the overall network, indicating central topics and a bridging of ideas

Peripheral clusters are less central to the overall network but could represent niche takes on the topic

Dense clusters contain highly similar documents

Spread-out clusters contain highly differentiated documents

A node bridging two clusters can indicate a document that is the intersection of two concepts

Connections represent similar language used across nodes

Each node represents a document; node sized by degree represents number of connections (i.e., similarity) to other nodes

W E I D E N T I F Y PAT I E N T N E E D S F R O M F O R U M P O S T S A N D T H E N P R I O R I T I Z E T H E M B A S E D O N S E V E R A L M E T R I C S , W H I C H Q U I D U N I Q U E LY C A L C U L AT E S

DRIVERS JUSTIFICATION & DESCRIPTION OF METRIC

1 VOLUMEHow often patients reference this topic; number of posts on this topic + Is a relative indicator of how many patients are affected by this topic

2 ENGAGEMENTHow many comments a topic received + Indicates how interested in a topic patients are

3 CENTRALITYHow connective a topic is; represents topics that are tied to many others + Indicates if development on that topic could be used to address other topics as well

4 SENTIMENTCombination of amount of negative and positive language used + Indicates how strongly the topic affects patients

W E U T I L I Z E A PAT I E N T J O U R N E Y L E N S T O T R A C K H O W PAT I E N T S ’ N E E D S C H A N G E T H R O U G H O U T T H E I R E X P E R I E N C E W I T H C A N C E R

Pre-Diagnosis Diagnosis Treatment Post Treatment

Patient develops or notices symptoms, but does not know if they have the condition. Patient tries to interpret symptoms and self-diagnose

Patient seeks HCP counsel and diagnosis. Patient finds a physician, goes through one or more tests, and receives diagnosis.

Patient follows course of action prescribed by the HCP, including lifestyle changes and medication.

Patient receives rehabilitation in conjunction with treatment. Patient may relapse or communicate with others within the community.

Voice of the Patient

Quid - Voice of Patient - Diabetes Type II

Healthcare

Transcript of Quid - Voice of Patient - Diabetes Type II