Tracking changes in search behaviour at a health web site. Ann- Marie Eklund University of Gothenburg, Sweden ann-

Tracking  changes  in  search   behaviour  at  a  health  web  site   Ann-­‐Marie  Eklund   University  of  Gothenburg,  Sweden   ann-­‐marie.eklund@s...
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Tracking  changes  in  search   behaviour  at  a  health  web  site   Ann-­‐Marie  Eklund   University  of  Gothenburg,  Sweden   ann-­‐[email protected]  

INTRODUCTION  

IntroducCon   •  Na+onal  interest  to  ensure  usable  health  informa+on  portals   for  the  general  public   •  Important  to  understand  the  impact  of  media  coverage,   informa+on  campaigns  and  the  public  state  of  health  on  the   use  of  health  portals   •  May  seman+c  analysis  of  health  search  logs  be  a  means  to   study  these  factors?    

THE  SEARCH  LOG  

Search  log  extract   6e9b38da3b94358f084ad38d529e0e05;halsont;2010-10-07 15:16:55.157;2010-10-03 07:05:18.730;7D98638DB18964AA82ABD3042DFBBDDB;http://vard.vgregion.se/ sv/Sjukdomar-och-besvar/Sjukdomar/Sjukvardsradgivningen/? CatId=26252&ChapId=26254;3;44;hit

3b46869d85cbbc2e70a528b85639e594;ont i halsen;2010-11-02 12:24:48.927;2010-10-15 07:55:06.740;8C97D6640120CFD06807745E4A7F17B2;http://vard.vgregion.se/sv/ Sjukdomar-och-besvar/Sjukdomar/Sjukvardsradgivningen/? CatId=26252&ChapId=26256;1;176;hit

Search  query   Session   Clicked  link  

Search  log  staCsCcs   •  230  754  interacCons   •  27  881  sessions   •  8  871  disCnct  queries   Queries   Sessions  

Month  

Sessions  

2010-­‐07  

621  

08  

813  

09  

940  

10  

2  667  

Queries  

11  

2  325  

1  

3  726  

12  

2  059  

2  

2  785  

2011-­‐01  

2  869  

3  

1  591  

02  

3  153  

Words  

1  

25  411  

4  

444  

03  

3  153  

2  

2  020  

5  

182  

04  

1  852  

3  

327  

6  

80  

05  

1  977  

4  

74  

7  

21  

06  

1  567  

5  

28  

8  

22  

07  

1  427  

6-­‐22  

21  

9-­‐15  

18  

08  

1  583  

Search  log  staCsCcs   Most  common  queries  

Sessions  

Mina  vårdkontakter  (My  health  care  contacts)  

359  

Egenremiss  (Self  referral)  

246  

Sjukresor  (Travels  to  health  care  faciliCes)  

220  

VaccinaCon  (VaccinaCon)  

211  

Gravid  (Pregnant)  

182  

UrinvägsinfekCon  (Urinary  tract  infecCon)  

180  

Feber  (Fever)  

177  

Influensa  (Influenza)  

174  

VårdgaranC  (Health  care  guarantee)  

171  

Byta  vårdcentral  (Change  primary  care  giver)  

167  

Webbisar  (Newborns)  

154  

ANNOTATION  OF  QUERIES  

“Sore  throat”   Sign  or  Symptom   6e9b38da3b94358f084ad38d529e0e05;halsont;2010-10-07 15:16:55.157;2010-10-03 07:05:18.730;7D98638DB18964AA82ABD3042DFBBDDB;http://vard.vgregion.se/ sv/Sjukdomar-och-besvar/Sjukdomar/Sjukvardsradgivningen/? CatId=26252&ChapId=26254;3;44;hit

3b46869d85cbbc2e70a528b85639e594;ont i halsen;2010-11-02 12:24:48.927;2010-10-15 07:55:06.740;8C97D6640120CFD06807745E4A7F17B2;http://vard.vgregion.se/sv/ Sjukdomar-och-besvar/Sjukdomar/Sjukvardsradgivningen/? CatId=26252&ChapId=26256;1;176;hit

“Sore  throat”   Sign  or  Symptom  

SemanCc  Types  

smärta  paracetamol  

 

[Sign  or  Symptom]  [Pharmacologic  Substance]  

Mapping  of  queries  by  UMLS   •  Map  the  whole  query  to  a  concept  if  possible,  otherwise  map   query  terms   –  AutomaCc  look-­‐up  in  the  UMLS   –  Semi-­‐automaCc  mapping  (locaCon,  organizaCon  and   person)   •  UMLS  semanCc  type  for  each  concept   •  Map  concept  to  MeSH  

RESULTS  

SemanCc  type  of  queries  over  Cme   25.0%  

20.0%   [Disease  or  Syndrome]     [Health  Care  AcCvity]     15.0%  

[Geographic  Area]     [Sign  or  Symptom]     [TherapeuCc  or  PrevenCve  Procedure]    

10.0%  

[Finding]     [OrganizaCon]     [Body  Part,  Organ,  or  Organ  Component]    

5.0%  

[Organic  Chemical]|[Pharmacologic  Substance]     [NeoplasCc  Process]     [DiagnosCc  Procedure]    

0.0%  

SemanCc  type  of  queries  over  Cme   25.0%  

20.0%   [Disease  or  Syndrome]     [Health  Care  AcCvity]     15.0%  

[Geographic  Area]     [Sign  or  Symptom]     [TherapeuCc  or  PrevenCve  Procedure]    

10.0%  

[Finding]     [OrganizaCon]     [Body  Part,  Organ,  or  Organ  Component]    

5.0%  

[Organic  Chemical]|[Pharmacologic  Substance]     [NeoplasCc  Process]     [DiagnosCc  Procedure]    

0.0%  

MeSH  category  of  query  concepts  over   Cme   16.0%   Health  OccupaCons  (H02)   14.0%   Health  Services  AdministraCon  (N04)   12.0%  

10.0%  

Geographic  LocaCons  (Z01)   Pathological  CondiCons,  Signs  and  Symptoms   (C23)  

8.0%  

Nervous  System  Diseases  (C10)  

6.0%  

Health  Care  FaciliCes,  Manpower,  and  Services   (N02)    Persons  (M01)  

4.0%   Health  Care  Economics  and  OrganizaCons  (N03)   2.0%  

0.0%  

Respiratory  Tract  Diseases  (C08)   Virus  Diseases  (C02)   Bacterial  InfecCons  and  Mycoses  (C01)  

MeSH  category  of  query  concepts  over   Cme   16.0%   Health  OccupaCons  (H02)   14.0%   Health  Services  AdministraCon  (N04)   12.0%  

10.0%  

Geographic  LocaCons  (Z01)   Pathological  CondiCons,  Signs  and  Symptoms   (C23)  

8.0%  

Nervous  System  Diseases  (C10)  

6.0%  

Health  Care  FaciliCes,  Manpower,  and  Services   (N02)    Persons  (M01)  

4.0%   Health  Care  Economics  and  OrganizaCons  (N03)   2.0%  

0.0%  

Respiratory  Tract  Diseases  (C08)   Virus  Diseases  (C02)   Bacterial  InfecCons  and  Mycoses  (C01)  

RelaCve  change  in  MeSH  categories   over  Cme  

RelaCve  change  in  MeSH  categories   over  Cme  

CONCLUSIONS  

Conclusions   •  Health  status   –  VariaCon  in  interest  over  Cme  in  types  of  diseases    

•  Informa+on  campaigns   –  VariaCon  in  geographic  area  stands  out  

  A  seman+c  analysis  of  health  search  logs  may  show  the   impact  of  media  coverage  and  informaCon   campaigns  and  the  public  state  of  health  in  a  country