| Literature DB >> 33235056 |
Geng Chen1, Lv Lin2, Yang Yan-Lin1, Chung Yuet-Foon Loretta1, Lin Han1,3.
Abstract
BACKGROUND: Pressure injury (PI) is a serious problem in health care settings globally. It leads to tremendous burden both individuals and healthcare systems. Since 2008, hospital-acquired pressure injuries have been a major focus of nursing quality improvement programs within hospitals and are considered never events. However, insufficiency attention has been paid to community-acquired pressure injuries (CAPI) or pressure ulcers that occur at home or in nursing homes. The prevalence or incidence of community-acquired pressure injury has been reported but never been synthesized in a meta-analysis manner. To fill the gaps in the evidence matrix, the aims of this study are to estimate the prevalence of CAPI in the general population and to pool the overall incidence of CAPI in the general population.Entities:
Mesh:
Year: 2020 PMID: 33235056 PMCID: PMC7710219 DOI: 10.1097/MD.0000000000022348
Source DB: PubMed Journal: Medicine (Baltimore) ISSN: 0025-7974 Impact factor: 1.889
Search strategy used in the PubMed database.
| Search number | Search term |
| #1 | (((((((((pressure ulcer∗) OR pressure injury) OR pressure sore∗) OR pressure damage) OR decubitus ulcer)) OR “Pressure Ulcer”[Mesh])) |
| #2 | ((“Community-Acquired Infections”[Mesh]) OR (((((((Community-acquired) OR community) OR nursing home∗) OR home) OR long-term care) OR residence home∗) OR rehabilitation center∗))) |
| #3 | ((((“Prevalence”[Mesh] OR “epidemiology” [Subheading]) OR “Incidence”[Mesh])) OR (((((prevalence) OR incidence) OR frequency) OR occurrence) OR rate)) |
| #4 | #1 AND #2 AND #3 |
Figure 1Flow chart of searching and screening studies.
Quality score scale for assessing the risk of bias.
| Bias type | Low risk (score = 2) | Moderate risk (score = 1) | High risk (score = 0) |
| Selection (sample population) | Sample from general population, not a select group; consecutive unselected population; rationale for case and control selection explained | Sample selected from large population but selection criteria not defined; sample selection ambiguous but may be representative; rationale for cases and controls not explained; eligibility criteria not explained; analysis to adjust for sampling strategy bias. | Highly select population making it difficult to generalize finding; sample selection ambiguous and sample unlikely to be representative. |
| Selection (sample size) | Sample size calculation performed and adequate | Sample size calculation performed and reasons for not meeting sample size given; sample size calculation not performed but all eligible persons studied. | Sample size estimation unclear or only subsample studied. |
| Selection (participation rate) | High response rate (>85%). | Moderate response rate (70–85%). | Low response rate (<70%); response rate not reported. |
| Performance bias (outcome assessment) | Diagnosis using consistent criteria and direct examination. | Assessment from administrative database or register; assessment from hospital record or interviewer | Assessment from nonvalidated data or generic estimate from the overall population |
| Performance bias (analytical methods to control for bias) | Analysis appropriate for the type of sample (subgroup analysis/regression etc.) | Analysis does not account for common adjustment | Data confusing |