Skip to main content
International Wound Journal logoLink to International Wound Journal
. 2019 Jan 22;16(2):459–466. doi: 10.1111/iwj.13054

The prevalence, incidence, and associated factors of pressure injuries among immobile inpatients: A multicentre, cross‐sectional, exploratory descriptive study in China

Ying Liu 1, Xinjuan Wu 1,, Yufen Ma 1, Zhen Li 1, Jing Cao 1, Jing Jiao 1, Ge Liu 1, Fangfang Li 1, Baoyun Song 2, Jingfen Jin 3, Yilan Liu 4, Xianxiu Wen 5, Shouzhen Cheng 6, Frances Lin 7
PMCID: PMC7949263  PMID: 30672116

Abstract

The aim of this study was to assess the prevalence, incidence, and the associated factors of pressure injuries (PIs) among immobile hospitalised patients in China. Being immobile during hospitalisation put these patients at a higher risk of PIs. There is little literature about pressure injury (PI) prevalence or PI incidence in immobile hospitalised patients in hospitals in China. This was a multicentre, cross‐sectional, exploratory descriptive study. A total of 23 985 immobile patients were recruited from 25 general hospitals in six provinces of China from November 1, 2015 to March 18, 2016. Information was collected on demographic characteristics, physical assessment information, and treatment and nursing care measures. The PI period prevalence was 3.38%, and the PI cumulative incidence was 1.23%. Most PIs (84.03%) were Stage 1 or Stage 2. A total of 48.22% of PIs occurred in the sacrum or heel region. In the multivariate analysis, the following factors were associated with higher PI prevalence: age, gender, length of immobility, type of hospital, modified Braden Scale score, urinary incontinence, faecal incontinence, low serum albumin, the usage of fixation or restraint devices, and patient's discharge diagnosis (lower limb fracture, malnutrition, and spinal cord injury). PI prevalence for immobile hospitalised patients in the study was lower than those reported in literature. However, because of the large population in China, the number of patients who suffer with PIs can be very high. The relating factors of higher PI prevalence identified in this study were consistent with current literature. Patients with a higher number of these associated factors should be monitored more closely, and preventative measures should be taken to prevent PI occurrence in high‐risk populations.

Keywords: associated factors, immobile hospitalised patients, incidence, pressure injuries, prevalence

1. INTRODUCTION

Worldwide, studies conducted in recent years have shown that pressure injuries (PIs) occur frequently, with the prevalence of PIs varying from 1.58% to 16.6% among inpatients in different countries.1, 2, 3, 4, 5 PIs are a serious global health concern that can increase mortality, prolong hospital stay, reduce patients' quality of life,3, 6 increase workload for nurses,7 and increase health care cost.8, 9 Immobility put patients at a higher risk of developing PIs.3, 10 In the context of the increasing global ageing population, the incidence of chronic diseases is rising, and the number of immobile patients is consequently increasing.11, 12 It is essential to identify the specific factors associated with PIs among immobile patients. To date, most research on PIs among immobile patients has focused on specific high‐risk groups, such as patients with spinal cord injuries, the elderly, the disabled, and those admitted to intensive care units (ICUs). Little research has been published on PI prevalence and factors on the general population of immobile inpatients in hospitals. Because of discrepancies in research designs, existing studies have reported different findings for PI prevalence and risk factors.13, 14, 15, 16, 17, 18, 19 In addition, the sample sizes of published studies conducted in China were often small.10, 20 The aim of this study was to describe the prevalence, incidence, and relating factors of PIs among immobile hospitalised patients in China.

This study was part of a multicentre research project funded by the National Health Commission of the People's Republic of China. This project, which was conducted in 25 general hospitals in six different geographic regions of China (Beijing, Henan, Zhejiang, Guangdong, Hubei, and Sichuan) from November 1, 2015 to March 18, 2016, aimed to establish a standardised nursing intervention model to prevent major immobility complications (MICs) among immobile hospitalised patients. MICs refer to PIs, deep vein thrombosis, pneumonia, and urinary tract infections.

The baseline part of the project was designed as a prospective survey, carried out from the day of recruitment until all patients were observed and followed up regularly for 90 days, unless the patient died or treatment was withdrawn. In this paper, only the following data of the investigation during the hospitalisation period will be reported: the prevalence and incidence of PI and the demographic, physical, and therapeutic characteristics among immobile hospitalised patients in China and their association with PI prevalence. The aim of this paper is to answer the following research questions with a goal to inform the development of targeted PI prevention model in China: first, what is the period prevalence of PIs in hospitalised immobile patients in China? Second, what is the cumulative incidence of PI in hospitalised immobile patients in China? And third, what are the relationships between patient factors and PI prevalence?

2. METHODS

2.1. Design

This is a national multicentre, cross‐sectional, exploratory descriptive study.

2.2. Setting and sample

This multicentre study was conducted in medical and surgical inpatient wards and critical care units in 25 general public hospitals covering six different geographic locations in China. The inclusion criteria for the patient sample were adult >18 years of age and being immobile for at least the first 24 hours after admission. Reasons for being immobile include: disease‐related immobility, under sedation post‐surgery, and bed rest requirements for disease management. The exclusion criteria were being aged <18 years and suffering from two or more kinds of MICs during the first day of assessment.

2.3. Variables and data collection

The data were recorded by research assistants using an MIC electronic data capture system. A case report form (CRF) was designed to collect patient demographic data, main factors that had been reported in literature as PIs predictors, and information on PIs.

The CRF contains the following items: (a) general patient data (age, gender, height, weight, education level, discharge diagnosis recorded according to the International Classification of Diseases Version 10, type of hospital, dates of admission and discharge, discharge outcome, and length of immobility); (b) physical assessment information (modified Braden Scale score, serum albumin value, haemoglobin value, faecal incontinence, and urinary incontinence); (c) treatment and nursing care information (sedatives usage, fixation devices and restraint devices usage, surgery during the hospitalisation, the preventive measures of repositioning and pressure‐redistributing support surfaces used); and (d) evaluation of PIs on the enrolment day and regularly after being enrolled into the study (categories, locations, and occurrence time defined according to the National Pressure Ulcer Advisory Panel—European Pressure Ulcer Advisory Panel [NPUAP–EPUAP] definitions and classification system).12 The demographic data were recorded on the first day of enrolment into the study; other information was evaluated and recorded by data collectors daily during the immobile hospitalised period. Follow up on each participant concluded at either 90 days since enrolment or at hospital discharge, whichever occurred first.

2.4. Data collection procedure

To ensure the data quality, 787 registered nurses from the 25 general hospitals were appointed as data collectors, with a ratio of one data collector per 15 beds. A two‐step training programme was provided for these data collectors. At first, onsite training was provided to data collectors by the investigators, which lasted 3 hours. Topics covered included the study design, the inclusion and exclusion criteria, data collection timing and frequency, the use of the electronic system, the NPUAP–EPUAP definition and classification system for PI, and the modified Braden Scale scoring criteria. After the training, a 15‐minute quiz was administered to confirm that the data collectors understood the information given. The nurses who attended the training achieved at least 85% accuracy for the quiz. Every data collector also received a training video and handbook prepared by the project steering group. Next, a quality control procedure was followed. First, head nurses of the 256 selected units were responsible for checking the recorded data each day. Second, each hospital appointed a coordinator whose duty was to audit compliance to study protocol such as patient inclusion criteria checking. Third, through monitoring and auditing the data recorded in the electronic system, the project steering group gave feedback on errors identified by the local data collection team once per week via e‐mail and teleconference. The investigators attended two on‐site data quality control meetings at each site during the study.

2.5. Ethical considerations

Ethical clearance was given by the Chinese Academy of Medical Science and Peking Union Medical College Ethics Committees. We obtained written informed consent from all patients. For patients with impaired mental capacity to consent, consent was signed by family members. Participation in the study was voluntary, and patients were free to withdraw at any time. All data were kept confidential and processed anonymously.

2.6. Data analysis

Data were entered into and analysed using SPSS (Version 19.0). Continuous variables were summarised as means ± SD for normally distributed variables and median ± interquartile range for non‐normally distributed variables. Categorical data were synthesised using frequencies and percentages. In view of the operability of the data analysis, some variables were redefined, for example, faecal and urinary incontinence (at least recorded once), low serum albumin (low serum albumin was defined as equal to or less than 30 g/L)21 and low haemoglobin (for male, low haemoglobin was defined as equal to or less than 13.5 g/dL; for female, low haemoglobin was defined as equal to or less than 12.0 g/dL),22 sedatives usage, fixation or restraint devices usage, underwent surgery were defined as “yes”/“no” and recorded as “yes” if these things were present at least once during the period of observation. For nursing prevention measures, repositioning and the use of pressure‐redistributing support surfaces were recorded. Repositioning regime was assessed as “yes” when a pressure‐reducing mattress was used and the patient was repositioned at least every 4 hours or when patients were repositioned at least every 2 hours without the pressure‐reducing mattress. Following the EPUAP statement,23 PI period prevalence was calculated as follows: number of participants with a PI on the day of enrolment and those who developed new PIs during the study period divided by the number of all immobile patients enrolled in this study (including both with and without PI) × 100. PI cumulative incidence was calculated as: number of enrolled participants who developed new PIs since enrolment during the study period divided by the number of all participants enrolled in the study × 100. χ 2 tests and the t‐test were used to compare the difference of characterisation between the PI group and the non‐PI group. A logistic regression model was used to explore the association between characteristics of immobile hospitalised patients and PI prevalence. Odds ratios (ORs), 95% confidence intervals (CIs), and corresponding P values were calculated to estimate the rate of PI prevalence. A multivariate analysis was conducted, including those significant variables in the univariate analysis (P value < 0.05).

3. RESULTS

A total of 23 985 patients were enrolled from November 1, 2015 to March 18, 2016. Patients' demographic characteristics are presented in Table 1. The mean age was 56.52 years (SD = 16.80), with a median of 58.00 years. The median immobile hospitalised period was 29.66 days (25th quartile = 3 days, 75the quartile = 11 days). In total, 810 patients were recorded as having 1516 PIs, which shows a period PI prevalence of 3.38% (calculated as 810/23985). During the length of inpatient stay, 296 participants developed new PIs, which translates to a PI cumulative incidence of 1.23% (calculated as 296/23985). The locations and stages of PIs are shown in Table 2.

Table 1.

Demographic, physical, and therapeutic information on immobile hospitalised patients (N = 23 985)

Variables Total n PI Group Non‐PI Group χ2/t(+) P
Gender Male 13 567 (56.56%) 511 13 056 17.634 <0.001***
Female 10 418 (43.44%) 290 10 128
Age 56.52 ± 16.80 62.66 ± 17.59 56.31 ± 16.72 −10.55+ <0.001***
Education level Primary school or lower 9517 (39.68%) 381 9136 24.760 <0.001***
Middle school 6894 (28.74%) 218 6676
High school/technical secondary school 3958 (16.5%) 111 3847
College/university/higher 3616 (15.07%) 91 3525
Patient discharge outcome Discharged from hospital 22 057 (91.96%) 680 21 377
Died in hospital 325 (1.36%) 274 51
Still in hospital when study ended 1603 (6.68%) 1533 70
Length of patient being immobile (d) D ≥ 10 7076 (29.50%) 621 6455 919.001 0.001**
1 ≤ D ≤ 9 16 909 (70.50%) 180 16 729
Type of hospitals Tertiary hospital 19 450 (81.09%) 726 18 724 49.233 <0.001***
Non‐tertiary hospital 4535 (18.91%) 75 4460
ICU stay during hospitalisation At least 1 d or more 4612 (19.23%) 323 4289 237.451 <0.001***
Never 19 373 (80.77%) 478 18 895
Principal medical diagnoses
Cerebrovascular disease Yes 4484 (18.70%) 176 4308 5.86 0.018 *
No 19 501 (81.30%) 625 18 876
Diabetes mellitus (note: missing data on 297a patients) Yes 1782 (7.52%) 31 1751 15.649 <0.001***
No 21 906 (92.48) 766 21 140
Hemiplegia (note: missing data on 297a patients) Yes 106 (0.45%) 22 84 99.036 <0.001***
No 23 582 (99.55%) 775 23 210
Lower limb fracture Yes 1884 (7.85%) 203 1681 350.16 <0.001***
No 22 101 (92.15%) 598 21 503
Spinal cord injury Yes 113 (0.47%) 38 75 322.67 <0.001***
No 23 872 (99.53%) 763 23 109
Malnutrition Yes 23 (0.1%) 5 18 24.14 0.001**
No 23 962 (99.90%) 796 23 166
Modified Braden scale score (note: Missing data on 297a patients) ≤19 9479 (40.02%) 561 8918 316.98 <0.001***
≥20 14 209 (59.98%) 236 13 973
Low serum albumin (≤30 g/L) Recorded at least once 4348 (18.13%) 413 3935 624.08 <0.001***
Never 19 637 (81.87%) 388 129 249
Low haemoglobin (for male, ≤13.5 g/dL; for female, ≤12.0 g/dL) Recorded at least once 1191 (4.97%) 77 1114 37.927 <0.001***
Never 22 794 (95.03%) 724 22 070
Urinary incontinence (note: Missing data on 297a patients) Recorded at least once 862 (3.59%) 129 733 374.36 <0.001***
Never 23 123 (96.41%) 672 22 451
Faecal incontinence Recorded at least once 784 (3.31%) 137 647 496.496 <0.001***
Never 22 904 (96.69%) 660 22 244
Sedatives usea Recorded at least once 3755 (15.85%) 259 3496 171.302 <0.001***
Never 19 933 (84.15%) 538 19 395
Fixation/restraint devices usea Recorded at least once 4809 (20.30%) 401 4408 459.137 <0.001***
Never 18 879 (79.70%) 396 18 483
Underwent surgery while in hospitala Recorded at least once 11 226 (47.39%) 370 10 856 0.309 0.302
Never 12 759 (52.61%) 427 12 035
Repositioning regimeb (the operational definition is noted below) Yes 20 483 (89.90%) 268 20 215 2.58 0.108
No 2300 (10.10%) 21 2279

Repositioning regime: the answer is yes when: a pressure‐reducing mattress was used and the patient was repositioned at least every 4 hours or patients were repositioned at least every 2 hours without the pressure‐reducing mattress.

a

Some physical assessment information was not recorded on 297 patients who were recruited and discharged on the same day, and 13 patients among them belong to the PI group.

b

We were unable to record the application of preventive nursing measures for 297 patients who were recruited and discharged on the same day and 514 patients who were defined as developing pressure injuries, and 391 patients' repositioning information was missing for unknown reasons.

*

P < 0.05

**

P < 0.01

***

P < 0.001.

Table 2.

Locations of pressure injuries by stage

Location Classification N (%)
Stage 1 Stage 2 Stage 3 Stage 4 Unstageable DTPI All
Sacrum/coccyx 257 (16.95%) 149 (9.83%) 32 (2.11%) 6 (0.40%) 13 (0.86%) 18 (1.19%) 475 (31.33%)
Heel 180 (11.87%) 24 (1.58%) 3 (0.20%) 1 (0.07%) 7 (0.46%) 41 (2.70%) 256 (16.89%)
Ankle 99 (6.53%) 15 (0.99%) 5 (0.33%) 1 (0.07%) 2 (0.13%) 18 (1.19%) 140 (9.23%)
Hip 28 (1.85%) 38 (2.51%) 12 (0.79%) 1 (0.07%) 8 (0.53%) 3 (0.20%) 90 (5.94%)
Occiput 66 (4.35%) 14 (0.92%) 1 (0.07%) 1 (0.07%) 0 3 (0.20%) 85 (5.61%)
Other regions 256 (16.89%) 148 (9.76%) 20 (1.32%) 4 (0.26%) 7 (0.46%) 35 (2.31%) 470 (31.00%)
All 886 (58.44%) 388 (25.59%) 73 (4.82%) 14 (0.92%) 37 (2.44%) 118 (7.78%) 1516

DTPI, deep‐tissue pressure injury.

The characteristics of those with and without PIs were compared using univariate analysis (shown in Table 1). The results that showed significant differences at P < 0.05 were age, gender, education level, type of hospital, ICU stay during hospitalisation, patients' discharge diagnosis (cerebrovascular disease, diabetes mellitus, hemiplegia, lower limb fracture, spinal cord injury, and malnutrition), the length of patient being immobile, modified Braden Scale score, urinary incontinence, faecal incontinence, abnormal laboratory indexes (low albumin, low haemoglobin), sedatives usage, and fixation or restraint device usage (cast, brace, and constraint appliance).

The t‐test showed that patients of the PI group (mean age = 62.66 years, SD = 17.59) were significantly older than patients of the non‐PI group (mean age = 56.31 years, SD = 16.72). A χ 2 test showed that the number of male patients with PIs was significantly higher than the number of male patients without PIs (63.80% versus 56.31%). Significantly more patients in the PI group had conditions including hemiplegia, fracture of lower limb, spinal cord injury, and malnutrition than in the non‐PI group (2.76% versus 0.36%, 25.34% versus 7.25%, 4.74% versus 0.32% and 0.62% versus 0.08%, respectively).

Comparing with the group without PIs, significantly more patients were treated in tertiary hospitals (3.73% versus 1.65%). More patients in the PI group had ICU stay during hospitalisation than those in the non‐PI group (90.64% versus 80.76%). In the group of patients who stayed in the bed for 10 days or more, 77.53% developed a PI, compared with the 27.84% of patients who stayed in bed for less than 10 days and developed a PI. Dividing patients into two groups according to the modified Braden Scale score (with 19 as the cut‐off value),24 there was a higher proportion of patients with scores of 19 or lower in the PI group than in the non‐PI group (70.39% versus 38.96%).

In the PI group, significantly more patients had underlying medical conditions than the non‐PI group, including urinary incontinence (16.10% versus 3.16%), faecal incontinence (17.19% versus 2.83%), low albumin (51.56% versus 2.95%), and low haemoglobin (9.61% versus 4.81%). Significantly more PI patients were given the sedatives than patients of non‐PI group (32.50% versus 15.27%). Patients who used the fixation or restraint devices were significantly found in the PI group more often, compared with the non‐PI group (50.31% versus 19.26%). However, there was no significant difference between the PI and non‐PI groups in terms of undergoing surgery or receiving repositioning measures. There were also no significant differences between the groups for patients with cardiovascular disease or diabetes.

The multivariate comparative analysis showed that 12 variables were significantly associated with a higher risk of PI occurrence among immobile hospitalised patients (P < 0.05): age (≥ 65 years), male, medical diagnosis (lower limb fracture, spinal cord injury, or malnutrition), length of immobility (≥10 days), type of hospital (tertiary hospital), modified Braden Scale score(≤19), low serum albumin (≤3.0 g/L), urinary incontinence, faecal incontinence, and fixation or restraint device usage (shown in Table 3).

Table 3.

Odds ratios from the multivariate logistic regression associated with PI prevalence

Variable OR (95%CI of the PI period prevalence) P value
Age (≥65 y) 1.42 (1.21–1.66) <0.001
Gender (male) 0.75 (0.64–0.87) <0.001
Length of immobility (≥10 d) 4.37 (3.48–5.49) <0.001
Type of hospitals (tertiary hospital) 2.70 (2.09–31.52) <0.001
Spinal cord injury 9.17 (6.18–14.05) <0.001
Lower limb fracture 3.87 (3.17–15.27) <0.001
Malnutrition 3.85 (1.34–11.10) 0.012
Urinary incontinence 2.53 (1.97–3.24) <0.001
Faecal incontinence 1.64 (1.28–2.10) <0.001
Low serum albumin (≤30 g/L) 2.16 (1.80–2.58) <0.001
Modified Braden scale score (≤19) 2.03 (1.71–2.41) <0.001
Fixation/restraint device use 1.47 (1.23–1.77) <0.001
ICU stay during hospitalisation 1.22 (0.99–1.50) 0.062
Sedatives use 1.21 (1.00–1.46) 0.052
Low haemoglobin (for male, ≤13.5 g/dL; for female, ≤12.0 g/dL) 1.18 (0.89–1.57) 0.252

4. DISCUSSION

4.1. PI period prevalence and cumulative incidence

To the best of our knowledge, this was the first prospective multicentre study with such a large sample size to describe the period prevalence and the cumulative incidence of PIs among immobile hospitalised patients in China. This study reported a period PI prevalence of 3.38% (calculated as 810/23985) and a PI cumulative incidence of 1.23% (calculated as 296/23985). Most previous research has focused on a specific group of patients with restricted mobility, such as ICU patients (PI prevalence: 8.8%–39.3%; PI incidence: 1%–56%),16, 25, 26, 27, 28 patients diagnosed with spinal cord injuries (PI prevalence: 26.4%–29.7%, PI incidence: 9.6%–49.2%),14, 29, 30 or elderly individuals with a hip fracture (PI prevalence: 12%–22.7%).20, 31, 32 The prevalence and incidence found in the present study was lower than those reported in the literature. This difference may be related to significant variations in PI prevention practices across settings, and the methodologies used to collect prevalence data, which makes it impossible to compare PI prevalence.2, 29 Finally, strong research evidence reported that repositioning is an effective preventive measure for PI.1 In this study, 89.9% of immobile inpatients received regular repositioning. In contrast, an Indonesian study reported that only 74% of stroke patients in the ICU/cardiovascular care unit and neurological ward were repositioned regularly.33 In addition, a Swedish survey conducted with a sample of 7377 residents in 60 nursing homes reported that repositioning was only performed for approximately 44.3% of the residents.34 A higher percentage of patients was repositioned regularly in the present study and might have contributed to the lower PI prevalence in hospitalised patients in China.

4.2. PI stage and location

In this study, 1516 PIs were recorded. Almost half of these were Stage 1, and more than one‐third were Stage 2. It has previously been noted that there may be a lack of identification and documentation of PIs, especially at Stage 1.2 The higher percentage of Stage 1 PIs in the present study may indicate, to some extent, timely assessments and early detection of changes in skin status. Our findings contrasted with the conclusion of several previous studies that Stages 2 and 3 are the most common PI stages.3, 32

In relation to PI location, about one third (31.33%) of PIs occurred in the sacrum/coccyx area, and 16.89% occurred in the heel. The sacrum/coccyx and heel were identified in the present study as the two most common anatomical areas for PIs to appear, which is consistent with findings from the literature.2, 5, 18, 35, 36 Therefore, nurses should pay more attention to these anatomical locations when caring for immobile hospitalised patients.

4.3. Characteristics of the PI group

This study compared the characteristics of immobile hospitalised patients with and without PIs using univariate and multivariate analyses. The results showed that age, gender, length of immobility, type of hospital, modified Braden Scale score, urinary incontinence, faecal incontinence, low serum albumin, fixation or restraint device, and patients' discharge diagnosis (lower limb fracture, malnutrition or spinal cord injury) showed a significant positive association with a higher prevalence of PIs.

This study has shown that the risk of PIs was higher for people aged over 65 years than for those aged 18 to 65 years. This result was consistent with the majority of published findings, which have shown a higher risk of PI at older age.3, 32, 37, 38, 39 However, Wielen et al14 and Magny et al31 found no significant association between age and the occurrence of PIs.

In the present study, a positive association was examined between gender (male) and the prevalence of PIs in the multivariate analysis. Okuwa et al40 and Campanili et al35 also found that male immobile patients were at higher risk, compared with female immobile patients. However, some prospective cohort studies that focused on immobile patients with hip fractures or spinal cord injuries in ICU settings found no significant differences between female and male immobile patients.14, 15, 31, 37, 41

We found that PI prevalence is much higher for patients remaining immobile for 10 or more days, which suggests that more rigorous monitoring and management is needed to prevent PIs when patients remain in bed for 10 or more days or are expected to be immobile for a long time. This result is consistent with current literature which found that the length of immobility is an important predictor for PIs in immobile patients in ICUs and general wards.3, 42

The type of hospital emerged as a highly significant predictor for PI occurrence in this study, with PI prevalence being much higher among inpatients in tertiary hospitals than among those in non‐tertiary hospitals. There are several possible interpretations for this finding. The length of hospital stay is often longer, and patient acuity is often much higher in tertiary hospitals than non‐tertiary hospitals because most patients with complex or serious diseases choose to receive treatment in tertiary hospitals in China. As we discussed earlier, length of hospital stay and underlying condition are both predictors of higher PI prevalence. However, because of the differences in sample sizes between the two categories of hospitals in this study, this result should be interpreted with caution.

Our results showed that immobile hospitalised patients suffering from malnutrition, lower limb fractures, or spinal cord injuries are at risk of higher PI prevalence. Malnutrition is closely related to problems such as muscle loss and reduced mobility, which have previously been established as significant risk factors for the development of PIs.21, 26, 43 Patients with lower limb fractures or spinal cord injuries had a greater risk of PIs, which could be defined as a significant PI‐related factor in the present study. It has been found in previous studies that lower limb fractures and spinal cord injuries, which are accompanied by decreased sensation and lower mobility ability, were contributors to PIs.20, 44 Similarly, the results from this study support the findings from existing literature on predictors of PI, including urine incontinence and faecal incontinence.45, 46

The present study also found the association between the use of casts, braces, or restraint devices and significantly higher risk of PI occurrence. According to Ham44 and Black,47 patients using these devices were at a higher risk of developing PIs. One possible explanation for this finding is related to changes in the skin microclimate under such devices. Another possible explanation is that these devices restrict patient mobility and increase pressure and shear forces.44

4.4. Limitations

This study had several limitations. First, the enrolled hospitals were not chosen at random, which may influence the generalisability of the results. Second, because this study was a part of a larger project aimed to explore four kinds of common complications among immobile hospitalised patients, the sample excluded immobile patients with two or more kinds of MICs. Thus, the prevalence and incidence of PIs found in this study among immobile hospitalised patients in China might be lower than the actual rate. Third, there was a lack of documentation related to patient's history of PIs, so the relationship between PI history and the occurrence of PIs during this study could not be ascertained. Fourth, a multivariate analysis was not performed to define the independent risk characteristics of participants who developed new PIs during the length of inpatient stay in this study, which would be examined in further studies. Finally, although the use of nursing prevention measures was recorded in the study, the reliability of the data collected and compliance with using prevention guidelines were not evaluated. Therefore, we were unable to discuss the extent to which these interventions were correctly implemented. Based on these limitations, prospective research should be conducted to explore the specific risk factors, as well as nursing preventive interventions.

5. CONCLUSIONS

This was the first multicentre survey with such a large sample to describe PI prevalence and incidence among immobile hospitalised patients in China. Our finding of a period prevalence of 3.38% and cumulative incidence of 1.23% provides a baseline reference for PI prevalence in China. This study also demonstrated the specific medical conditions and underlying health issues associated with higher PI prevalence among immobile patients. These findings will inform future research and practice improvement initiatives to prevent PIs in immobile hospitalised patients. To some degree, the results from this study, consistent with what have been reported in literatures, can inform nurses in their decision‐making in using PI prevention strategies when caring for patients with these relating factors of higher PI prevalence.

CONFLICTS OF INTEREST

The authors have no conflicts of interest to report.

ACKNOWLEDGEMENT

We acknowledge the non‐profit profession research and special projects of the National Health Commission of the People's Republic of China for funding this research in 2015 (Grant number: 201502017).

Liu Y, Wu X, Ma Y, et al. The prevalence, incidence, and associated factors of pressure injuries among immobile inpatients: A multicentre, cross‐sectional, exploratory descriptive study in China. Int Wound J. 2019;16:459–466. 10.1111/iwj.13054

Funding information National Health Commission of the People's Republic of China, Grant/Award Number: 201502017

REFERENCES

  • 1. Jiang Q, Li X, Qu X, et al. The incidence, risk factors and characteristics of pressure ulcers in hospitalized patients in China. Int J Clin Exp Pathol. 2014;7(5):2587‐2594. [PMC free article] [PubMed] [Google Scholar]
  • 2. Sardo PM, Simoes CS, Alvarelhao JJ, et al. Analyses of pressure ulcer incidence in inpatient setting in a Portuguese hospital. J Tissue Viability. 2016;25(4):209‐215. [DOI] [PubMed] [Google Scholar]
  • 3. Amir Y, Lohrmann C, Halfens RJ, Schols JM. Pressure ulcers in four Indonesian hospitals: prevalence, patient characteristics, ulcer characteristics, prevention and treatment. Int Wound J. 2017;14(1):184‐193. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. Vangilder C, Lachenbruch C, Algrim‐Boyle C, Meyer S. The international Pressure Ulcer prevalence™ survey: 2006–2015A 10‐year Pressure injury prevalence and demographic trend analysis by care setting. J Wound Ostomy Cont Nurs. 2017;44(1):20‐28. [DOI] [PubMed] [Google Scholar]
  • 5. Gunningberg L, Hommel A, Baath C, Idvall E. The first national pressure ulcer prevalence survey in county council and municipality settings in Sweden. J Eval Clin Pract. 2013;19(5):862‐867. [DOI] [PubMed] [Google Scholar]
  • 6. Mallow PJ, Pandya B, Horblyuk R, Kaplan HS. Prevalence and cost of hospital medical errors in the general and elderly United States populations. J Med Econ. 2013;16(12):1367‐1378. [DOI] [PubMed] [Google Scholar]
  • 7. Peterson MJ, Gravenstein N, Schwab WK, van Oostrom JH, Caruso LJ. Patient repositioning and pressure ulcer risk—monitoring interface pressures of at‐risk patients. J Rehabil Res Dev. 2013;50(4):477‐488. [DOI] [PubMed] [Google Scholar]
  • 8. National Pressure Ulcer Advisory Panel EPUAP . In: Haesler E, ed. Pan Pacific Pressure Injury Alliance. Prevention and Treatment of Pressure Ulcers: Clinical Practice Guideline. Perth, Western Australia, Australia: Cambridge Media; 2014. [Google Scholar]
  • 9. Jackson T, Nghiem HS, Rowell D, Jorm C, Wakefield J. Marginal costs of hospital‐acquired conditions: information for priority‐setting for patient safety programmes and research. J Health Serv Res Policy. 2011;16(3):141‐146. [DOI] [PubMed] [Google Scholar]
  • 10. Chen Y, Devivo MJ, Jackson AB. Pressure ulcer prevalence in people with spinal cord injury: age‐period‐duration effects. Arch Phys Med Rehabil. 2005;86(6):1208‐1213. [DOI] [PubMed] [Google Scholar]
  • 11. Beard JRD, Officer AM, de Carvalho IAM, et al.The World report on ageing and health: a policy framework for healthy ageing[J]. The Lancet. 2015;387(10033):2145‐2154. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12. Wound, Ostomy and Continence Nurses Society—Wound Guidelines Task Force . WOCN 2016 guideline for prevention and management of pressure injuries (ulcers): an executive summary. J Wound Ostomy Continence Nurs. 2017;44(3):241‐246. [DOI] [PubMed] [Google Scholar]
  • 13. Ham HW, Schoonhoven LL, Schuurmans MM, Leenen LL. Pressure ulcer development in trauma patients with suspected spinal injury; the influence of risk factors present in the emergency department. Int Emerg Nurs. 2017;30:13‐19. [DOI] [PubMed] [Google Scholar]
  • 14. van der Wielen H, Post MW, Lay V, Glasche K, Scheel‐Sailer A. Hospital‐acquired pressure ulcers in spinal cord injured patients: time to occur, time until closure and risk factors. Spinal Cord. 2016;54(9):726‐731. [DOI] [PubMed] [Google Scholar]
  • 15. Verschueren JH, Post MW, de Groot S, van der Woude LH, van Asbeck FW, Rol M. Occurrence and predictors of pressure ulcers during primary in‐patient spinal cord injury rehabilitation. Spinal Cord. 2011;49(1):106‐112. [DOI] [PubMed] [Google Scholar]
  • 16. Tayyib N, Coyer F, Lewis P. Saudi Arabian adult intensive care unit pressure ulcer incidence and risk factors: a prospective cohort study. Int Wound J. 2016;13(5):912‐919. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17. Lahmann NA, Kottner J, Dassen T, Tannen A. Higher pressure ulcer risk on intensive care? ‐ comparison between general wards and intensive care units. J Clin Nurs. 2012;21(3–4):354‐361. [DOI] [PubMed] [Google Scholar]
  • 18. Borsting TE, Tvedt CR, Skogestad IJ, Granheim TI, Gay CL, Lerdal A. Prevalence of pressure ulcer and associated risk factors in middle‐ and older‐aged medical inpatients in Norway. J Clin Nurs. 2018;27(3–4):e535‐e543. [DOI] [PubMed] [Google Scholar]
  • 19. Carryer J, Weststrate J, Yeung P, Rodgers V, Towers A, Jones M. Prevalence of key care indicators of pressure injuries, incontinence, malnutrition, and falls among older adults living in nursing homes in New Zealand. Res Nurs Health. 2017;40(6):555‐563. [DOI] [PubMed] [Google Scholar]
  • 20. Chen HL, Zhu B, Wei R, Zhou ZY. A retrospective analysis to evaluate seasonal Pressure injury incidence differences among hip fracture patients in a tertiary hospital in East China. Ostomy Wound Manage. 2018;64(2):40‐44. [PubMed] [Google Scholar]
  • 21. Roberts S, Chaboyer W, Desbrow B. Nutrition care‐related practices and factors affecting nutritional intakes in hospital patients at risk of pressure ulcers. J Hum Nutr Diet. 2015;28(4):357‐365. [DOI] [PubMed] [Google Scholar]
  • 22. Beutler E, Waalen J. The definition of anemia: what is the lower limit of normal of the blood hemoglobin concentration? Blood. 2006;107(5):1747‐1750. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23. Defloor T, Clark M, Witherow A, et al. EPUAP statement on prevalence and incidence monitoring of pressure ulcer occurrence. J Tissue Viability. 2005;15(3):20‐27. [DOI] [PubMed] [Google Scholar]
  • 24. Chan WS, Pang SM, Kwong EW. Assessing predictive validity of the modified Braden scale for prediction of pressure ulcer risk of orthopaedic patients in an acute care setting. J Clin Nurs. 2009;18(11):1565‐1573. [DOI] [PubMed] [Google Scholar]
  • 25. Thomas D, Compton G, eds. Pressure Ulcers in the Aging Population: A Guide for Clinicians. Totowa, NJ: Humana Press; 2014. [Google Scholar]
  • 26. Serra R, Caroleo S, Buffone G, et al. Low serum albumin level as an independent risk factor for the onset of pressure ulcers in intensive care unit patients. Int Wound J. 2014;11(5):550‐553. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27. Coyer F, Miles S, Gosley S, et al. Pressure injury prevalence in intensive care versus non‐intensive care patients: a state‐wide comparison. Aust Crit Care. 2017;30(5):244‐250. [DOI] [PubMed] [Google Scholar]
  • 28. Chaboyer WP, Thalib L, Harbeck EL, Coyer FM, Blot S, Bull CF, et al. Incidence and Prevalence of Pressure Injuries in Adult Intensive Care Patients: A Systematic Review and Meta‐Analysis. Critical Care Medicine. 2018;46(11):e1074‐e81. [DOI] [PubMed] [Google Scholar]
  • 29. Ham HW, Schoonhoven LL, Schuurmans MM, Leenen LL. Pressure ulcer development in trauma patients with suspected spinal injury; the influence of risk factors present in the emergency department. Int Emerg Nurs. 2017;30:13‐19. [DOI] [PubMed] [Google Scholar]
  • 30. Kovindha A, Kammuang‐Lue P, Prakongsai P, Wongphan T. Prevalence of pressure ulcers in Thai wheelchair users with chronic spinal cord injuries. Spinal Cord. 2015;53(10):767‐771. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31. Magny E, Vallet H, Cohen‐Bittan J, et al. Pressure ulcers are associated with 6‐month mortality in elderly patients with hip fracture managed in orthogeriatric care pathway. Arch Osteoporos. 2017;12(1):77. [DOI] [PubMed] [Google Scholar]
  • 32. Chiari P, Forni C, Guberti M, Gazineo D, Ronzoni S, D'Alessandro F. Predictive factors for Pressure ulcers in an older adult population hospitalized for hip fractures: a prognostic cohort study. PLoS One. 2017;12(1):e0169909. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33. Amir Y, Halfens RJ, Lohrmann C, Schols JM. Pressure ulcer prevalence and quality of care in stroke patients in an Indonesian hospital. J Wound Care. 2013;22(5):254 6, 8–60. [DOI] [PubMed] [Google Scholar]
  • 34. Lahmann NA, Halfens RJ, Dassen T. Impact of prevention structures and processes on pressure ulcer prevalence in nursing homes and acute‐care hospitals. J Eval Clin Pract. 2010;16(1):50‐56. [DOI] [PubMed] [Google Scholar]
  • 35. Campanili TC, Santos VL, Strazzieri‐Pulido KC, Thomaz Pde B, Nogueira PC. Incidence of pressure ulcers in cardiopulmonary intensive care unit patients. Rev Esc Enferm USP. 2015;49 Spec No:7‐14. [DOI] [PubMed] [Google Scholar]
  • 36. Igarashi A, Yamamoto‐Mitani N, Gushiken Y, Takai Y, Tanaka M, Okamoto Y. Prevalence and incidence of pressure ulcers in Japanese long‐term‐care hospitals. Arch Gerontol Geriatr. 2013;56(1):220‐226. [DOI] [PubMed] [Google Scholar]
  • 37. Tsaras K, Chatzi M, Kleisiaris CF, Fradelos EC, Kourkouta L, Papathanasiou IV. Pressure ulcers: developing clinical indicators in evidence‐based practice. A prospective study. Med Arch. 2016;70(5):379‐383. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38. Sving E, Idvall E, Hogberg H, Gunningberg L. Factors contributing to evidence‐based pressure ulcer prevention. A cross‐sectional study. Int J Nurs Stud. 2014;51(5):717‐725. [DOI] [PubMed] [Google Scholar]
  • 39. Coleman S, Gorecki C, Nelson EA, et al. Patient risk factors for pressure ulcer development: systematic review. Int J Nurs Stud. 2013;50(7):974‐1003. [DOI] [PubMed] [Google Scholar]
  • 40. Okuwa M, Sanada H, Sugama J, et al. A Prospective Cohort Study of Lower‐Extremity Pressure Ulcer Risk Among Bedfast Older Adults[J]. Advances in Skin & Wound Care. 2006;19(7):391‐397. [DOI] [PubMed] [Google Scholar]
  • 41. Scheel‐Sailer A, Wyss A, Boldt C, Post MW, Lay V. Prevalence, location, grade of pressure ulcers and association with specific patient characteristics in adult spinal cord injury patients during the hospital stay: a prospective cohort study. Spinal Cord. 2013;51(11):828‐833. [DOI] [PubMed] [Google Scholar]
  • 42. Wilczweski P, Grimm D, Gianakis A, Gill B, Sarver W, McNett M. Risk factors associated with pressure ulcer development in critically ill traumatic spinal cord injury patients. J Trauma Nurs. 2012;19(1):5‐10. [DOI] [PubMed] [Google Scholar]
  • 43. Hanonu S, Karadag A. A prospective, descriptive study to determine the rate and characteristics of and risk factors for the development of medical device‐related Pressure ulcers in intensive care units. Ostomy Wound Manage. 2016;62(2):12‐22. [PubMed] [Google Scholar]
  • 44. Ham WH, Schoonhoven L, Schuurmans MJ, Leenen LP. Pressure ulcers in trauma patients with suspected spine injury: a prospective cohort study with emphasis on device‐related pressure ulcers. Int Wound J. 2017;14(1):104‐111. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45. Lachenbruch C, Ribble D, Emmons K, Vangilder C. Pressure ulcer risk in the incontinent patient: analysis of incontinence and hospital‐acquired pressure ulcers from the international pressure ulcer prevalence survey. J Wound Ostomy Continence Nurs. 2016;43(3):235‐241. [DOI] [PubMed] [Google Scholar]
  • 46. Gray M, Giuliano KK. Incontinence‐associated dermatitis and immobility as pressure injury risk factors. J Wound Ostomy Continence Nurs. 2018;45(1):63‐67. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47. Joyce M, Black JEC, Walko MA, Didier LA, Lander MJ, Kelpe MR. Medical device related pressure ulcers in hospitalized patients. Int Wound J. 2010;7(5):358‐365. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from International Wound Journal are provided here courtesy of Wiley

RESOURCES