| Literature DB >> 33312480 |
Lotfolah Afzali Borojeny1, Ahmed N Albatineh2, Ali Hasanpour Dehkordi3, Reza Ghanei Gheshlagh4.
Abstract
Pressure ulcer is a health problem worldwide that is common among inpatients and elderly people with physical-motor limitations. To deliver nursing care and prevent the development of pressure ulcers, it is essential to identify the factors that affect it. This global systematic review and meta-analysis was conducted with the aim of evaluating the incidence of pressure ulcers in observational studies. In this study, databases including Web of Science, Embase, PubMed, Scopus, and Google Scholar were searched to collect data. Articles published from 1997 to 2017 about the factors influencing the incidence of pressure ulcers were retrieved and their results were analyzed using meta-analysis according to the Random-Effects Model. The heterogeneity of studies was investigated using the I2 statistic. Data were analyzed using the R and Stata software (version 14). In this study, 35 studies were included in the final analysis. The results showed that the pooled estimate of the incidence rate of pressure ulcer was 12% (95% CI: 10-14). The incidence rates of the pressure ulcers of the first, second, third, and fourth stages were 45% (95% CI: 34-56), 45% (95% CI: 34-56), 4% (95% CI: 3-5), and 4% (95% CI: 2-6), respectively. The highest incidence of pressure ulcers was observed among inpatients in orthopedic surgery ward (18.5%) (95% CI: 11.5-25). According to the final results, better conditions should be provided to decrease the incidence of pressure ulcers in different wards, especially orthopedics, and in patients with diabetes. Copyright:Entities:
Keywords: Incidence; meta-analysis; pressure ulcer
Year: 2020 PMID: 33312480 PMCID: PMC7716611 DOI: 10.4103/ijpvm.IJPVM_182_19
Source DB: PubMed Journal: Int J Prev Med ISSN: 2008-7802
Figure 1Screening flowchart showing the selection of qualified articles according to the PRISMA statement
General information of reviewed articles
| Author | Year | Place | Mean age±SD | Sample size | Incidence | Unit | Scale Type |
|---|---|---|---|---|---|---|---|
| Cox[ | 2011 | United States | 69±17 | 347 | 18.7 | ICU | Braden |
| Schindler | 2011 | United States | - | 5346 | 10.2 | ICU | Braden |
| Boyle and Green[ | 2001 | Australia | 57.5 | 534 | 5.2 | ICU | Waterlow |
| Webster | 2010 | Australia | 65.3 | 274 | 4.4 | ICU | Waterlow |
| Gunningberg | 2017 | Sweden | 81±8.5 | 190 | 1.3 | Internal | Norton |
| Dhanda | 2015 | India | - | 228 | 16.39 | Orthopedic | Braden |
| James | 2010 | UK | 80 | 581 | 13.9 | Orthopedic | Braden |
| Mallah | 2015 | United States | 44.69±30.07 | 420 | 6.63 | General | Braden |
| Palese | 2017 | Italy | 82.2 | 1464 | 8.5 | Emergency | Braden |
| Sanada | 2007 | Indonesia | 50.9±17 | 105 | 33.3 | ICU | Braden |
| Sanada | 2008 | Japan | 55.2±18.4 | 253 | 27 | ICU | Suriadi and Sanada |
| Sayar | 2009 | Turkey | 55.7 | 140 | 14.3 | ICU | Waterlow |
| Schoonhoven | 2002 | Netherlands | - | 208 | 21.2 | ICU | Braden |
| Sebastián-Viana | 2016 | Spain | 60.4 | 9220 | 6 | Surgical | modified Norton |
| Shahin | 2009 | Germany | - | 121 | 3.3 | Nephrological ICU | Braden |
| Deng | 2017 | China | 57.81±16.72 | 468 | 20.1 | ICU | Braden |
| Cremasco | 2013 | Brazil | 55.5±18.8 | 160 | 34.4 | ICU | Braden |
| Fujii | 2010 | Japan | 32.5 | 81 | 16 | ICU | Braden |
| GonzálezMéndez | 2017 | Spain | 59.76±14.3 | 335 | 8.1 | ICU | Braden |
| Kaitani | 2010 | Japan | 62.3±16.1 | 98 | 11.2 | ICU | Braden & Bergstrom |
| Lahmann | 2012 | Germany | 66.4±14.7 | 2237 | 14.9 | nephrological ICU | Braden & Bergstrom |
| Ranzani | 2016 | Brazil | - | 9605 | 3.33 | ICU | Charlson |
| Tsaras | 2016 | Greece | 58.9±18.8 | 210 | 2 | ICU | Cubbin and Jackson |
| Nijs | 2009 | Belgium | 64 | 520 | 20.1 | Nephrological ICU | Norton |
| Bååth | 2016 | Sweden | 86.3±7.2 | 183 | 14.6 | ICU | Braden |
| Perneger | 2002 | Switzerland | 61.4±19.1 | 1190 | 14.3 | General | Norton and Braden |
| Becker | 2017 | Brazil | 63.1±18.1 | 332 | 13.6 | ICU | Braden |
| Webster | 2011 | Australia | 62.6±19.3 | 1231 | 6.8 | Internal | Waterlow |
| Baumgarten | 2006 | United States | - | 201 | 6.2 | Emergency | Braden |
| Manzano | 2010 | Spain | 60±17 | 299 | 16 | Surgical | Braden |
| Olson | 1996 | United States | 63±16.6 | 38 | 2.6 | Nephrology | Braden |
| Yatabe | 2013 | Japan | 85±7.6 | 422 | 7.1 | ICU | Braden |
| Maida | 2008 | Canada | 724±13.2 | 415 | 22.4 | Oncology | Braden |
| Hendrichova | 2008 | Italy | 74 | 414 | 6.7 | Oncology | Karnofsky |
| Gunningberg | 2001 | Sweden | 84.4±7.2 | 101 | 29 | Orthopedic | Braden |
Figure 2The incidence rates of pressure ulcers in the hospital departments based on the Random-Effects Model; the midpoint of every segment indicates the estimate of the incidence; the length of the line represents 95% confidence interval in each study; and the diamond indicates the pooled estimate for incidence rate of pressure ulcers for all studies in the hospital departments from 1997 to 2017 across the world
Incidence rates of pressure ulcers of different stages
| Pressure ulcer stage | Incidence rate(95% CI) |
|---|---|
| Stage I | 45(95% CI: 34%-56%) |
| Stage II | 45(95% CI: 34%-56%) |
| Stage III | 4(95% CI: 3%-5%) |
| Stage IV | 4(95% CI: 2%-6%) |
Incidence rates of pressure ulcers in different hospital departments
| Unit name | Numbers of studies | Pressure ulcer incidence |
|---|---|---|
| ICU | 18 | 13.7%(95% CI: 10.9-16.5) |
| Internal | 2 | 4.1%(95% CI: 1.3-9.5) |
| Orthopedic | 3 | 18.5%(95% CI: 11.5-25) |
| General | 2 | 10.5%(95% CI: 3-18) |
| Surgical | 2 | 10.8%(95% CI: 10-20.6) |
| Nephrological ICU | 3 | 12.8%(95% CI: 4.6-20.9) |
| Nephrology | 1 | 2.6%(95% CI: 2.5-7.7) |
| Emergency Department | 2 | 6.2%(95% CI: 2.9-9.5) |
| Oncology | 2 | 14.5%(95% CI: 9-29.8) |
Figure 3Begg's Funnel plot for evaluation of publication bias