poster medecine 2.0'13 london: wiki scoping review published in jmir:

1
Defini&on of CWAs: any technology enabling joint and simultaneous edi&ng of online documents by many end users e.g. Wiki, Google Docs. Databases searched: Scien&fic (n=7); Grey (n=6); conference proceedings for WikiSym, Medicine 2.0 and AMIA. Crowdsouced papers (Mendeley, Google Docs, HLWIKI, email, TwiQer) Reviewers independently reviewed cita&ons, selected eligible studies and extracted data. EPPIreviewer was used. Papers presen&ng qualita&ve or quan&ta&ve empirical evidence were included. Qualita&ve content analysis to iden&fy factors related to use of CWAs using the Gagnon (2010) framework and their effects on healthcare using the Donabedian (1996) model. Study protocol published. Titre du document Auteurs [email protected] Wikis and Collabora&ve Wri&ng Applica&ons in Healthcare: a Scoping Review Tom H van de Belt (1), Patrick Michel Archambault (2), Francisco J Grajales III (3), Marjan J Faber (2), Craig E Kuziemsky (4), Susie Gagnon (5), Andrea Bilodeau (5), Simon Rioux (5), Karine Aubin (6), Irving Gold (7), MariePierre Gagnon (6), Alexis Turgeon (8), Cynthia Fournier (2), Mathieu Émond (2), Julien Poitras (2), Jan A.M. Kremer (1), Gunther Eysenbach (9), France Légaré (10) (1) Radboud University Nijmegen Medical Centre, Nijmegen, Netherlands; (2) Faculté de médecine, Université Laval, Quebec, Canada; (3) Faculty of Medicine, University of Bri^sh Columbia, Vancouver, Canada; (4) Telfer School of Management, University of Oaawa, Oaawa, Canada; (5) Centre de santé et de services sociaux AlphonseDesjardins (CHAU de Lévis), Lévis, Canada; (6) Faculté des sciences infirmières, Université Laval, Québec, Canada; (7) Associa^on of Facul^es of Medicine of Canada, Oaawa, Canada; (8) Division de soins intensifs, Département d'anesthésiologie, Université Laval, Québec, QC, Canada; (9) Centre for Global eHealth Innova^on, University of Toronto; (10) Canada Research Chair in Implementa^on of Shared Decision Making in Primary Care, Québec, Canada Background Collabora&ve wri&ng applica&ons (CWAs) have the poten&al to empower mul&ple stakeholders to disseminate and apply knowledge in prac&ce. The rapid rise in the use of CWAs has created the need for a synthesis of the evidence of the impact as knowledge transla&on tools in healthcare. Objec^ves To explore the depth and breadth of evidence for the use of CWAs in healthcare. To iden&fy the factors that affect their uses. To iden&fy areas that require further systema&c reviewing and where more primary research is needed. Methods Conclusion CWAs present many poten&al posi&ve and nega&ve effects as knowledge transla&on tools. LiQle is known about how to address the many barriers to their implementa&on in healthcare and how to foster contribu&ons by healthcare stakeholders. Future research should focus on conduc&ng a formal systema&c review on the effec&veness of CWAs as a KT strategy and conduc&ng primary research to address the barriers iden&fied for different stakeholders. Results Figure 1. Flow Chart Flow chart shows number of included papers. Crowdsourced 4 papers (2 via Google Docs, 2 via email), but none were included. Recurrent barriers and facilitators + posi&ve and nega&ve effects shown in Table 1. Grey literature (n=1921) Google/Bing/Yahoo (n=1200) Mednar (n=400) HTAi vortal (n=319) Other sources (n=2) Studies retrieved from targeted databases (n=7234) Studies screened on &tle and abstract (n=4436) Studies screened on full text (n=368) Studies considered (n=76) Studies analysed (n=111) Group 2: Quality of informa&on in different collabora&ve wri&ng applica&ons (n=25) Group 3: Collabora&ve wri&ng applica&ons used as knowledge transla&on interven&on (n=73) Group 1: PaQerns of use of online collabora&ve wri&ng applica&ons (n=26) Grey literature excluded (n=1892) Duplicates (n=257) Broken link (n=91) Not healthcare field (n=625) Not men^oning wikis or online CWA (n=660) No results (n=245) Published paper already considered (n=14) Papers added (n=35) Grey literature (n=29) Sugges&ons by authors contacted (n=2) Abstracts from conference (n=3) Reference lists (n=1) Grey literature included (n=29) Studies excluded (n=2798) Author with “Wiki” in name (n=541) Wriaen before 2001 (n=885) Duplicates (n=1372) Studies excluded or not considered (n=292) Wikipedia used only as a reference (n=6) Gene^cs/genomics (n=87) Biology (n=32) Chemistry (n=5) Library science (n=14) Neural network modeling (n=1) Medical informa^cs (n=12) Clinical trials and wikis (n=11) Psychology of wiki users (n=5) No results (n=119) Studies excluded or not considered (n=4068) Not men^oning wikis or online CWA (n=2853) Not healthcare field (n=1059) Protocol (n=7) Conceptual framework (n=6) Conference proceedings (n=4) Editorial or opinion (n=106) Literature review (n=33) Barriers (n=48) Facilitators (n=92) Perceived beneficial effects (n=57) Perceived nega&ve effects (n=23) Unfamiliarity with informa&on and communica&on technology (ICT) (n=8) Training with the applica&on (n=12) Improve collabora&on (n=41) Nega&ve emo&ons / added stress (n=6) Lack of selfefficacy (n=6) Scien&fic quality of the resource (n=10) Ease learning (n=30) Fast dissemina&on of poorly validated informa&on (n=4) Time constraints / workload (n=6) Ease of use (n=8) Improve knowledge management and accessibility to informa&on (n=30) Informa&on overload (n=4) Worries about the scien&fic quality of the informa&on (n=5) Triability (n=7) Improve confidence, mo&va&on and sa&sfac&on (n=29) Enhance percep&on of unequal work distribu&on (n=2) Closed applica&on (n=5) Community of prac&ce / community of learners (n=7) Improve efficiency of health care (n=19) Possibility of spam / vandalism (n=2) Lack of material resources – access to ICT (n=5) Presence of a moderator (n=7) Improve quality of health care (n=6) Complexity of use (n=4) Feeling of selfefficacy (n=6) Prevent disease (n=3) Table 1 Most frequently reported Barriers/ Facilitators/ and Perceived Beneficial/ Nega&ve Effects 91 % 8% 1%

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Page 1: Poster Medecine 2.0'13 London: Wiki Scoping Review published in JMIR:

Ø  Defini&on   of   CWAs:   any   technology   enabling   joint   and  simultaneous  edi&ng  of  online  documents  by  many  end  users  e.g.  Wiki,  Google  Docs.  

Ø  Databases   searched:   Scien&fic   (n=7);   Grey   (n=6);   conference  proceedings  for  WikiSym,  Medicine  2.0  and  AMIA.  

Ø  Crowdsouced   papers   (Mendeley,   Google   Docs,   HLWIKI,   email,  TwiQer)  

Ø  Reviewers   independently   reviewed   cita&ons,   selected   eligible  studies  and  extracted  data.  EPPI-­‐reviewer  was  used.  

Ø  Papers   presen&ng   qualita&ve   or   quan&ta&ve   empirical   evidence  were  included.  

Ø Qualita&ve   content   analysis   to   iden&fy   factors   related   to   use   of  CWAs   using   the   Gagnon   (2010)   framework   and   their   effects   on  healthcare  using  the  Donabedian  (1996)  model.  

Ø  Study  protocol  published.  

Titre du document Auteurs

               [email protected]  

Wikis  and  Collabora&ve  Wri&ng  Applica&ons  in  Healthcare:  a  Scoping  Review  Tom  H  van  de  Belt  (1),  Patrick  Michel  Archambault  (2),  Francisco  J  Grajales  III  (3),  Marjan  J  Faber  (2),  Craig  E  Kuziemsky  (4),  Susie  Gagnon  (5),  Andrea  Bilodeau  (5),  Simon  Rioux  (5),  Karine  Aubin    (6),  Irving  Gold  (7),  Marie-­‐Pierre  Gagnon  (6),  Alexis  Turgeon  (8),  Cynthia  Fournier  (2),  Mathieu  Émond  (2),  Julien  Poitras  (2),  Jan  A.M.  Kremer  (1),  Gunther  Eysenbach  (9),  France  Légaré  (10)  (1) Radboud  University  Nijmegen  Medical  Centre,  Nijmegen,  Netherlands;  (2)  Faculté  de  médecine,  Université  Laval,  Quebec,  Canada;  (3)  Faculty  of  Medicine,  University  of  Bri^sh  Columbia,  Vancouver,  Canada;  (4)  Telfer  School  of  Management,  University  of  Oaawa,  Oaawa,  Canada;  (5)  Centre  de  santé  et  de  services  sociaux  Alphonse-­‐Desjardins  (CHAU  de  Lévis),  Lévis,  Canada;  (6)  Faculté  des  sciences  infirmières,  Université  Laval,  Québec,  Canada;  (7)  Associa^on  of  Facul^es  of  Medicine  of  Canada,  Oaawa,  Canada;  (8)  Division  de  soins  intensifs,  Département  d'anesthésiologie,  Université  Laval,  Québec,  QC,  Canada;  (9)  Centre  for  Global  eHealth  Innova^on,  University  of  Toronto;  (10)  Canada  

Research  Chair  in  Implementa^on  of  Shared  Decision  Making  in  Primary  Care,  Québec,  Canada  

Background  Ø  Collabora&ve   wri&ng   applica&ons   (CWAs)   have   the   poten&al   to  

empower   mul&ple   stakeholders   to   disseminate   and   apply  knowledge  in  prac&ce.  

Ø  The   rapid   rise   in   the   use   of   CWAs   has   created   the   need   for   a  synthesis  of   the  evidence  of   the   impact  as  knowledge   transla&on  tools  in  healthcare.  

Objec^ves  Ø  To  explore  the  depth  and  breadth  of  evidence  for  the  use  of  CWAs  

in  healthcare.    Ø  To  iden&fy  the  factors  that  affect  their  uses.    Ø  To   iden&fy   areas   that   require   further   systema&c   reviewing   and  

where  more  primary  research  is  needed.  Methods  

Conclusion  

Ø  CWAs   present   many   poten&al   posi&ve   and  nega&ve  effects  as  knowledge  transla&on  tools.  

Ø  LiQle   is   known   about   how   to   address   the  many  barriers   to   their   implementa&on   in   healthcare  and   how   to   foster   contribu&ons   by   healthcare  stakeholders.    

Ø  Future   research   should   focus   on   conduc&ng   a  formal  systema&c  review  on  the  effec&veness  of  CWAs   as   a   KT   strategy   and   conduc&ng   primary  research   to   address   the   barriers   iden&fied   for  different  stakeholders.  

Results  

Ø  Figure  1.  Flow  Chart  

Ø  Flow  chart  shows  number  of  included  papers.  Ø  Crowdsourced  4  papers  (2  via  Google  Docs,  2  via  email),  but  none  

were  included.  Ø  Recurrent  barriers   and   facilitators   +  posi&ve  and  nega&ve  effects  

shown  in  Table  1.    

Grey  literature  (n=1921)  Google/Bing/Yahoo  (n=1200)  Mednar  (n=400)  HTAi  vortal  (n=319)  Other  sources  (n=2)  

Studies  retrieved  from  targeted  databases  

(n=7234)  

Studies  screened  on  &tle  and  abstract  (n=4436)  

Studies  screened  on  full  text  (n=368)  

Studies  considered  (n=76)  

Studies  analysed  (n=111)  

Group  2:  Quality  of  informa&on  in  different  collabora&ve  wri&ng  

applica&ons  (n=25)  

Group  3:  Collabora&ve  wri&ng  applica&ons  used  as  

knowledge  transla&on  interven&on  

(n=73)  

Group  1:  PaQerns  of  use  of  online  collabora&ve  wri&ng  

applica&ons  (n=26)  

Grey  literature  excluded  (n=1892)  

Duplicates  (n=257)  Broken  link  (n=91)  Not  healthcare  field  (n=625)  Not  men^oning  wikis  or  online  CWA  (n=660)  No  results  (n=245)  Published  paper  already  considered  (n=14)   Papers  added  (n=35)  

Grey  literature  (n=29)  Sugges&ons  by  authors  contacted  (n=2)  Abstracts  from  conference  (n=3)  Reference  lists  (n=1)  

Grey  literature  included  (n=29)  

Studies  excluded  (n=2798)  Author  with  “Wiki”  in  name  (n=541)  Wriaen  before  2001  (n=885)  Duplicates  (n=1372)  

Studies  excluded  or  not  considered  (n=292)  

Wikipedia  used  only  as  a  reference  (n=6)  Gene^cs/genomics  (n=87)  Biology  (n=32)  Chemistry  (n=5)  Library  science  (n=14)  Neural  network  modeling  (n=1)  Medical  informa^cs  (n=12)  Clinical  trials  and  wikis  (n=11)  Psychology  of  wiki  users  (n=5)  No  results  (n=119)  

Studies  excluded  or  not  considered  (n=4068)  

Not  men^oning  wikis  or  online  CWA  (n=2853)  Not  healthcare  field  (n=1059)  Protocol  (n=7)  Conceptual  framework  (n=6)  Conference  proceedings  (n=4)  Editorial  or  opinion  (n=106)  Literature  review  (n=33)  

Barriers  (n=48)  

Facilitators  (n=92)  

Perceived    beneficial  effects  (n=57)  

Perceived  nega&ve  effects  (n=23)  

Unfamiliarity  with  informa&on  and  communica&on  technology  (ICT)  (n=8)   Training  with  the  applica&on  (n=12)   Improve  collabora&on  (n=41)   Nega&ve  emo&ons  /  added  stress  

(n=6)  

Lack  of  self-­‐efficacy  (n=6)   Scien&fic  quality  of  the  resource  (n=10)   Ease  learning  (n=30)   Fast  dissemina&on  of  poorly  validated  informa&on  (n=4)  

Time  constraints  /  workload  (n=6)   Ease  of  use  (n=8)  Improve  knowledge  management  and  accessibility  to  informa&on  

(n=30)  Informa&on  overload  (n=4)  

Worries  about  the  scien&fic  quality  of  the  informa&on  (n=5)   Triability  (n=7)   Improve  confidence,  mo&va&on  

and  sa&sfac&on  (n=29)  Enhance  percep&on  of  unequal  

work  distribu&on  (n=2)  

Closed  applica&on  (n=5)    

Community  of  prac&ce  /  community  of  learners  (n=7)  

Improve  efficiency  of  health  care  (n=19)  

Possibility  of  spam  /  vandalism  (n=2)  

Lack  of  material  resources  –  access  to  ICT  (n=5)   Presence  of  a  moderator  (n=7)   Improve  quality  of  health  care  

(n=6)  

Complexity  of  use  (n=4)   Feeling  of  self-­‐efficacy  (n=6)   Prevent  disease  (n=3)  

Ø  Table  1-­‐  Most  frequently  reported  Barriers/  Facilitators/  and  Perceived  Beneficial/  Nega&ve  Effects  

         91  %                                                                      8%                                                                            1%