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Kohanová D, Bartoníčková D, Žiaková K. Missed nursing care as reported by paediatric nurses: A cross-sectional study. J Clin Nurs 2024; 33:1444-1458. [PMID: 37985425 DOI: 10.1111/jocn.16935] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 10/10/2023] [Accepted: 11/01/2023] [Indexed: 11/22/2023]
Abstract
AIMS Missed nursing care (MNC) significantly affects patient safety and quality of care. It is a widely used concept that has been studied in different settings, but research in paediatric care is quite limited. Therefore, this descriptive cross-sectional study aimed to report the prevalence, patterns, correlates, factors and predictors of MNC in paediatric care units in two central European countries. DESIGN A cross-sectional comparative study. METHODS Data collection was carried out between June and November 2021 using the MISSCARE Survey-Pediatric. The study included 441 registered nurses working in paediatric care units in the Czech Republic and Slovakia. Data were analysed using descriptive and inferential statistics in the SPSS 25.0 statistical program. RESULTS Almost all nurses, 92.7% of nurses missed at least one nursing activity during the last shift. The most missed care activity in both countries was the promotion of neuroevolutionary development, and the most prominent reasons were labour resources. MNC was weakly but significantly correlated with nurse experience in the current position and was predicted by the country, nurse education and overtime hours (p ≤ .05). Differences in prevalence of MNC and reasons for MNC were identified based on several variables (p ≤ .05). CONCLUSION The assessment of MNC in paediatric settings is often a neglected area, although the prevalence in this study was moderate. IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE Nurse staff shortages, as a global problem, have many impacts on patient outcomes in the delivery of nursing care. However, there are also many factors that can reduce the prevalence of MNC. More research should focus on a closer examination of these factors that involve hospital and nurse variables. REPORTING METHOD The study was carried out according to the STROBE checklist and the RANCARE guideline. PATIENT OR PUBLIC CONTRIBUTION No patient or public contribution.
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Affiliation(s)
- Dominika Kohanová
- Department of Nursing, Faculty of Social Sciences and Health Care, Constantine the Philosopher University in Nitra, Nitra, Slovakia
- Department of Nursing, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Bratislava, Slovakia
| | - Daniela Bartoníčková
- Department of Nursing, Faculty of Health Sciences, Palacký University in Olomouc, Olomouc, Czechia
| | - Katarína Žiaková
- Department of Nursing, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Bratislava, Slovakia
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Ding S, Wang X, Wang Q, Shen J, Xie H, Fu X, Liao L, Chen J, Zhu L, Huang J, Yang S, Huang X, Zhang Y. Translation and psychometric testing of the Chinese version of the Perinatal Missed Care Survey. Int J Nurs Sci 2024; 11:106-112. [PMID: 38352293 PMCID: PMC10859582 DOI: 10.1016/j.ijnss.2023.12.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 11/05/2023] [Accepted: 12/11/2023] [Indexed: 02/16/2024] Open
Abstract
Objective This study aimed to translate and evaluate the psychometric properties of the Perinatal Missed Care Survey in China. Methods The Perinatal Missed Care Survey was translated according to the guidelines of the cross-cultural debugging scale recommended by the American Academy of Orthopaedic Surgeons Evidence-Based Medicine Committee, including forward translation, back translation, cultural adaption, and content validation, and its Chinese version was used in a cross-sectional study conducted from February to April in 2023. A total of 491 midwives from 14 different level hospitals in southwest China were recruited through a convenience sampling method. The discrimination ability of the items was tested through item analysis, and construct validity was assessed through exploratory factory and confirmatory factor analyses. The content validity index and Cronbach's α coefficients evaluated content validity and reliability, respectively. Results The Chinese version's item-total correlation coefficients ranged from 0.641 to 0.866 in part A and from 0.644 to 0.819 in part B (P < 0.001). Parts A and B's scale-level content validity indexes were 0.95, and the item-level content validity indexes were from 0.86 to 1.00. The three common factors of part A (necessary care, basic care, and postnatal care) and part B (communication, labor resources, and material resources) were extracted, accounting for 70.186% and 71.984% of the total variance, respectively. Confirmatory factor analysis indicated that the good fit of the three-factor models was acceptable. The Cronbach's α coefficients were 0.968 (part A) and 0.940 (part B). Conclusion The Chinese version of the Perinatal Missed Care Survey is a reliable and valid instrument for assessing nursing care missed by midwives during labor and birth and the reasons it was missed. Studies with large sample sizes are needed to verify the instrument's applicability in China.
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Affiliation(s)
- Shenglan Ding
- Birth Room, Chengdu Women’s and Children’s Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Xin Wang
- Department of Nursing, Chengdu Women’s and Children’s Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Qingxia Wang
- Birth Room, Chengdu Women’s and Children’s Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Juan Shen
- Birth Room, Chengdu Women’s and Children’s Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Huili Xie
- Birth Room, Chengdu Women’s and Children’s Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Xiujuan Fu
- Birth Room, Chengdu Women’s and Children’s Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Luxi Liao
- Birth Room, Chengdu Women’s and Children’s Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Jiaojiao Chen
- Department of Medical Imaging, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Lian Zhu
- School of Health in Social Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Jing Huang
- School of Nursing, Peking University, Beijing, China
| | - Siyuan Yang
- Department of Nursing, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xiuhua Huang
- Surgery Intensive Care Unit, Chengdu Women’s and Children’s Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Yilan Zhang
- Birth Room, Chengdu Women’s and Children’s Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
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