Literature DB >> 19239586

Explaining the national differences in pressure ulcer prevalence between the Netherlands and Germany--adjusted for personal risk factors and institutional quality indicators.

Antje Tannen1, Ekkehart Dietz, Theo Dassen, Ruud Halfens.   

Abstract

BACKGROUND: Pressure ulcers have a known impact on quality of life as well as on morbidity and mortality of the persons affected. Remarkable differences in pressure ulcer prevalence between the Netherlands and Germany have been found during the last 6 years. This study explores to what extent the individual risk of the population and quality indicators of the institutions can explain the variation in national prevalence.
METHODS: Data of a binational multi-centred cross-sectional study in 103 hospitals (n = 21,378 patients) and 129 nursing homes (n = 15,579 residents) were analysed using random effects regression models to calculate the differences in national prevalences within the nursing homes and hospitals, adjusted for personal risk for pressure ulcer and quality indicators.
RESULTS: The prevalence of pressure ulcers among the at-risk group (Bradenscore <or=20) in nursing homes was 30.8% in the Netherlands and 8.3% in Germany [OR: 4.9 (CI 95%: 4.2-5.7)]. In hospitals, the prevalence among the at-risk group was 26.1% in the Netherlands and 21.2% in Germany [OR: 1.3 (CI 95%: 1.2-1.5)]. After adjusting for individual risk factors (age, gender, Bradenscore) as well as for quality structures (use of prevention and treatment protocols, experts groups, information leaflets, nurses training, central pressure ulcer statistics and regular updating of protocols), the chance of developing a pressure ulcer was 6.05 times higher (CI 95%: 4.0-9.2) in a Dutch nursing home than in a German nursing home. Within the hospitals, the OR for Dutch patients was 2.03 (CI 95%: 1.4-3.0).
CONCLUSION: A remarkable national variation exists in pressure ulcer prevalence and nursing practice. Neither the populations vulnerability for pressure ulcers nor pressure ulcer management as measured in this study could explain this national variation. Therefore, other risk factors should be taken into consideration. Additionally, it is possible that quality indicators are implemented in differing ways with varying levels of effectiveness. Therefore, further research is needed to examine prospectively and in more detail the reality of care within facilities in both countries.

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Year:  2009        PMID: 19239586     DOI: 10.1111/j.1365-2753.2008.00958.x

Source DB:  PubMed          Journal:  J Eval Clin Pract        ISSN: 1356-1294            Impact factor:   2.431


  5 in total

1.  Attitudes towards pressure ulcer prevention: a psychometric evaluation of the Swedish version of the APuP instrument.

Authors:  Jan Florin; Carina Bååth; Lena Gunningberg; Gunilla Mårtensson
Journal:  Int Wound J       Date:  2014-08-14       Impact factor: 3.315

2.  Pressure ulcer incidence in Dutch and German nursing homes: design of a prospective multicenter cohort study.

Authors:  Esther Meesterberends; Ruud Jg Halfens; Cornelia Heinze; Christa Lohrmann; Jos Mga Schols
Journal:  BMC Nurs       Date:  2011-04-28

3.  Pressure ulcer knowledge of registered nurses, assistant nurses and student nurses: a descriptive, comparative multicentre study in Sweden.

Authors:  Lena Gunningberg; Gunilla Mårtensson; Anna-Greta Mamhidir; Jan Florin; Åsa Muntlin Athlin; Carina Bååth
Journal:  Int Wound J       Date:  2013-08-06       Impact factor: 3.315

4.  A quality improvement programme to reduce hospital-acquired pressure injuries.

Authors:  Poonam Gupta; Shiny Shiju; Gracy Chacko; Mincy Thomas; Asma Abas; Indirani Savarimuthu; Emad Omari; Sara Al-Balushi; Pulikana Jessymol; Sunitha Mathew; Marife Quinto; Ian McDonald; William Andrews
Journal:  BMJ Open Qual       Date:  2020-07

5.  Prevalence of Pressure Injuries Nationwide from 2009 to 2015: Results from the National Inpatient Sample Database in Korea.

Authors:  Gyeong Hoe Kim; Jin Yong Lee; Jayeun Kim; Hyun Joo Kim; Ji-Ung Park
Journal:  Int J Environ Res Public Health       Date:  2019-02-27       Impact factor: 3.390

  5 in total

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