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Looking for patients in guidelines Development of a search filter for identifying articles addressing patient issues Lian Hielkema (Dutch College of General.

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Presentation on theme: "Looking for patients in guidelines Development of a search filter for identifying articles addressing patient issues Lian Hielkema (Dutch College of General."— Presentation transcript:

1 Looking for patients in guidelines Development of a search filter for identifying articles addressing patient issues Lian Hielkema (Dutch College of General Practioners), Monique Wessels (Dutch Association of Medical Specialists) International Clinical Librarian Conference 2011 Birmingham, June 2011

2 Introduction Methods Results Conclusion

3

4 NHG – Dutch College of General Practitioners Orde – Dutch Association of Medical Specialists

5 Benefits of public involvement (NHS) better outcomes of treatment and care a more satisfying experience for patients of using health services sharing responsibilities for healthcare with the public more appropriate use of health services

6 Viewpoint of our two organisations To give patient participation a regular place in guidelines, in order to achieve a more demand-based care by incorporating aspects of patients' perception and experience and their information needs

7 Methods Definition and scope Construction of concept-filters Validation database Adaptation of concept-filters

8 Definition and scope (SIGN) experiences (condition, diagnosis, treatments, follow-up care and QoL) (information) needs and preferences participation in decision-making overall satisfaction with care received

9 Construction of concept-filters (for Medline via OVID and via PubMed) Terms derived from: - filter patient issues SIGN - Greenhalgh, T. User involvement in health care (Wiley, 2010) - analysis of known articles

10 Validation database guidelines SIGN Longtin Y et al. Patient participation: current knowledge and applicability to patient safety. Mayo Clin Proc (1):53-62 guideline diabetes self-management education Result: 176 references

11 Adaptation of concept-filters Computerized analysis of MESH-terms of articles in validation database with open source MESH-analysing apps Manual analysis of missed articles: – 23 (concept OVID-new filter), – 6 (concept PubMed-new filter), – 1 (OVID-SIGN filter)

12 Part of one of the filters (PubMed-new) (Patient Participation[Mesh] OR consumer participation[Mesh] OR Professional-Patient Relations[Mesh] OR Patient-Centered Care[Mesh] OR Patient Preference[Mesh] OR Patient Satisfaction[Majr] OR Patient Education as Topic[Mesh] OR Attitude to Health[Mesh] OR Patient Acceptance of Health Care[Mesh] OR Health Knowledge, Attitudes, Practice[Mesh] OR Focus Groups[Mesh] OR Quality of Life[Majr] OR Self Care[mh:noexp] OR Self Concept[Mesh] OR Self-examination[Mesh] OR Cooperative Behavior[Mesh] OR Adaptation, Psychological[Mesh] OR Decision Support Techniques[Mesh] OR Self-Help Groups[Mesh] OR Community Networks[Mesh] OR Emotions[Mesh] OR Consumer Satisfaction[Mesh] OR Needs Assessment[Mesh] OR Personal Autonomy[Mesh] OR Patient Advocacy[Mesh] OR Life Change Events[Mesh]) OR (patient perspective*[tiab] OR patient's perspective*[tiab] OR patient desire*[tiab] OR patient's desire*[tiab] OR "patient's desires"[tiab] OR patient view*[tiab] OR patient's view*[tiab] OR patient expression*[tiab] OR patient's expression*[tiab] OR patient attitude*[tiab] OR patient's attitude*[tiab] OR patient involvement*[tiab] OR patient's involvement*[tiab] OR patient decision*[tiab] OR patient's decision*[tiab] OR patient activation[tiab] OR patient's activation[tiab] OR patients activation[tiab] OR patient empowerment[tiab] OR patient participation[tiab] OR patient's participation[tiab] OR patients participation[tiab] OR patient collaboration[tiab] OR patient's collaboration[tiab] OR patients collaboration[tiab] OR expert patient*[tiab] OR consumer participation[tiab] OR consumer perspective[tiab] OR consumers perspective[tiab] ……..

13 Results Validation of concept-filters Tables Comparison

14 Validation of concept-filters testing in practice 3 subjects primary care (PubMed-filter) 3 subjects secondary care (OVID-filter) sensitivity, specificity, precision, accuracy

15 General crosstable precision a/(a+b) sensitivity a/(a+c) specificity d/(b+d) accuracy (a+d)/(a+b+c+d)

16 Pubmed-new: dyspepsia precision 74.0% (53-88) sensitivity 83.3% (62-95) specificity 98.0% (96-99) accuracy 92.0%

17 PubMed-new: BPH, chlamydia, dyspepsia precision 79.3% (69-87) sensitivity 90.1% (81-95) specificity 98.8% (98-99) accuracy 98.3%

18 OVID-SIGN: ICD, cataract, spina bifida precision 21.2% (16-26) sensitivity 98.4% (91-99) specificity 69.1% (65-72) accuracy 71.4%

19 OVID-new: ICD, cataract, spina bifida precision 77.0% (65-86) sensitivity 90.5% (80-96) specificity 98.0% (96-98) accuracy 97.0%

20 Comparison

21 Conclusions a never-ending story? you can’t have it all work in progress

22 Contact information


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