Literature DB >> 11279688

Interventions to implement prevention in primary care.

M E Hulscher1, M Wensing, T van Der Weijden, R Grol.   

Abstract

BACKGROUND: Primary care physicians hold a strategic position in delivering preventive services. However discrepancies exist between evidence based guidelines and practice.
OBJECTIVES: To assess the effects of interventions to improve the delivery of preventive services in primary care. SEARCH STRATEGY: We searched the Cochrane Effective Practice and Organisation of Care Group specialised register (November 1995; August 1999), MEDLINE (1980 to 1995) and hand searched relevant journals. SELECTION CRITERIA: Randomised trials, controlled before and after studies, and interrupted time series analyses of interventions to improve preventive services by primary care professionals responsible for patient care. DATA COLLECTION AND ANALYSIS: Two researchers independently extracted data and assessed study quality. MAIN
RESULTS: Fifty-five studies were included, involving more than 2000 health professionals and 99,000 people, with 83 comparisons between intervention and control groups. Post intervention differences between intervention and control groups varied widely within and across categories of interventions. Most interventions were found to be effective in some studies, but not in others. Five comparisons of group education versus no intervention showed absolute change of preventive services varying between -4% and +31%. Nine comparisons of physician reminders versus no intervention showed absolute change of preventive services varying between 5% and 24%. Fourteen comparisons of multifaceted interventions versus no intervention showed absolute change of preventive services varying between -3% and +64%. Six comparisons of multifaceted interventions versus group education reported absolute changes varying between -31% and +28%. All these comparisons used randomised groups. Ten comparisons of multifaceted interventions versus no intervention used non-randomised groups and showed absolute change of preventive services varying between -5% and +21%. The remaining planned comparisons within categories of interventions contained less than five comparisons. REVIEWER'S
CONCLUSIONS: There is currently no solid basis for assuming that a particular intervention or package of interventions will work. Effective interventions to increase preventive activities in primary care exist, but there is considerable variation in the level of change achieved, with effect sizes usually small or moderate. Tailoring interventions to address specific barriers to change in a particular setting is probably important. Multifaceted interventions may be more effective than single interventions, because more barriers to change can be addressed. Future research should analyse barriers to change and interventions to implement preventive services in more detail, to clarify how interventions relate to specific barriers. Since more complex interventions are likely to be more effective but also more costly, economic evaluations should also be included.

Entities:  

Mesh:

Year:  2001        PMID: 11279688     DOI: 10.1002/14651858.CD000362

Source DB:  PubMed          Journal:  Cochrane Database Syst Rev        ISSN: 1361-6137


  34 in total

1.  Cluster randomised controlled trial of an educational outreach visit to improve influenza and pneumococcal immunisation rates in primary care.

Authors:  A Niroshan Siriwardena; Aly Rashid; Mark R D Johnson; Michael E Dewey
Journal:  Br J Gen Pract       Date:  2002-09       Impact factor: 5.386

2.  Prevention. We've come a long way baby..or have we?

Authors:  John W Feightner
Journal:  Can Fam Physician       Date:  2006-01       Impact factor: 3.275

3.  The role of information technology in translating educational interventions into practice: an analysis using the PRECEDE/PROCEED model.

Authors:  Charlene Weir; Nanci McLeskey; Cherie Brunker; Denise Brooks; Mark A Supiano
Journal:  J Am Med Inform Assoc       Date:  2011-05-12       Impact factor: 4.497

4.  Efficacy of a web-based intervention to improve and sustain knowledge and screening for amblyopia in primary care settings.

Authors:  Wendy L Marsh-Tootle; Gerald McGwin; Connie L Kohler; Robert E Kristofco; Raju V Datla; Terry C Wall
Journal:  Invest Ophthalmol Vis Sci       Date:  2011-09-09       Impact factor: 4.799

5.  Pay-for-performance incentives for preventive care: views of family physicians before and after participation in a reminder and recall project (P-PROMPT).

Authors:  Janusz Kaczorowski; Orli Goldberg; Verna Mai
Journal:  Can Fam Physician       Date:  2011-06       Impact factor: 3.275

6.  Barriers for the implementation of guidelines in palliative care-results from a national survey of professionals.

Authors:  Helen Kalies; Rieke Schöttmer; Steffen T Simon; Raymond Voltz; Alexander Crispin; Claudia Bausewein
Journal:  Support Care Cancer       Date:  2018-01-05       Impact factor: 3.603

7.  [Can we improve influenza vaccination rates in older people with chronic diseases?].

Authors:  H Schwarz Chávarri; J L Ortuño López; A Lattur Vílchez; V Pedrera Carbonell; D Orozco Beltrán; V Gil Guillén
Journal:  Aten Primaria       Date:  2005-03-15       Impact factor: 1.137

Review 8.  Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success.

Authors:  Kensaku Kawamoto; Caitlin A Houlihan; E Andrew Balas; David F Lobach
Journal:  BMJ       Date:  2005-03-14

9.  A system-wide intervention to improve HIV testing in the Veterans Health Administration.

Authors:  Matthew Bidwell Goetz; Tuyen Hoang; Candice Bowman; Herschel Knapp; Barbara Rossman; Robert Smith; Henry Anaya; Teresa Osborn; Allen L Gifford; Steven M Asch
Journal:  J Gen Intern Med       Date:  2008-05-02       Impact factor: 5.128

10.  Determining use of preventive health care in Ontario: comparison of rates of 3 maneuvers in administrative and survey data.

Authors:  Li Wang; X Nie Jason; Ross E G Upshur
Journal:  Can Fam Physician       Date:  2009-02       Impact factor: 3.275

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