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      Development and validation of the needs of children questionnaire: An instrument to measure children’s self‐reported needs in hospital Translated title: 儿童需求调查问卷的编制与验证:测量儿童自述住院需求的量表

      research-article
      , PhD, PG Dip/Cert, RN 1 , , , BSc (Hons) (Lond), MA (Liverpool), PhD (Liverpool), RN 1 , 2 , , PhD, MN, RN 1 , 3
      Journal of Advanced Nursing
      John Wiley and Sons Inc.
      child health care, child self‐report, children's needs, instrument development, nursing, reliability, validity

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          Abstract

          Aim

          To develop and psychometrically test the needs of children questionnaire (NCQ), a new instrument to measure school‐aged children's self‐reported psychosocial physical and emotional needs in paediatric wards.

          Design

          This is an instrument development study based on recommendations for developing a reliable and valid questionnaire.

          Method

          The NCQ was developed over three phases between February 2013–April 2017 and included item generation; content adequacy assessment; questionnaire administration; factor analysis; internal consistency assessment and construct validity. Psychometric properties were assessed after 193 school‐aged children completed the needs of children's questionnaire in four paediatric areas in Australia and New Zealand.

          Results

          The development and validation of the NCQ over two countries resulted in a 16‐item, four‐category tool to measure the self‐reported importance and fulfilment of school‐aged children's needs in hospital. Cronbach's alpha for the combined samples was 0.93.

          Conclusion

          The NCQ bridges a gap to measure the level of importance and fulfilment of school‐aged children's self‐reported needs in hospital. Future testing and validation is needed in other paediatric areas and countries.

          Impact

          The 16‐item NCQ is a valid measure to evaluate if the quality of care delivered and received in hospital is in line with what children self‐report as important and required and to date indicates good usability and utility. Child self‐reports are essential to inform healthcare delivery, policy, research and theory development from a child and family‐centred care lens that honours the United Nations Convention on the Rights of the Child and the best interests of the child.

          Translated abstract

          目的

          编制儿童需求调查问卷并对其进行心理学测试,该问卷是一种新的测量儿科病房学龄儿童自述社会心理、生理、情感需求的量表。

          设计

          这是一项基于编制可信有效问卷建议进行的量表编制研究。

          方法

          从2013年2月到2017年4月,儿童需求调查问卷的编制超过三个阶段,包括项目生成、内容适当性评估、问卷管理、因子分析、内部相容性评估以及结构效度等阶段。来自澳大利亚、新西兰四个地区儿科病房的193名学龄儿童填写了儿童需求调查问卷,随后我们对问卷的心理测量特质进行了评估。

          结果

          儿童需求调查问卷在两个国家进行编制和验证,最终产生了一个16项4范畴的量表用于测量学龄儿童自述住院需求的重要性和完成度。样卷的综合克隆巴赫系数为0.93。

          结论

          儿童需求调查问卷填补了学龄儿童自述住院需求重要性和完成度等级测量的空白。未来还需要在其他国家和地区的儿科病房测试及验证该问卷。

          影响

          16项儿童需求调查问卷是一个有效评估医院提供以及儿童接受的看护质量是否与儿童自述重要需求质量一致并确定可用性、有效性高的量表。儿童自述以儿童和家庭为中心,符合《联合国儿童权利公约》以及儿童的最大利益,为医疗的提供、政策、研究以及理论发展提供了相关信息,因而十分重要。

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          Most cited references49

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          Coefficient alpha and the internal structure of tests

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              Exploratory Factor Analysis With Small Sample Sizes.

              Exploratory factor analysis (EFA) is generally regarded as a technique for large sample sizes (N), with N = 50 as a reasonable absolute minimum. This study offers a comprehensive overview of the conditions in which EFA can yield good quality results for N below 50. Simulations were carried out to estimate the minimum required N for different levels of loadings (λ), number of factors (f), and number of variables (p) and to examine the extent to which a small N solution can sustain the presence of small distortions such as interfactor correlations, model error, secondary loadings, unequal loadings, and unequal p/f. Factor recovery was assessed in terms of pattern congruence coefficients, factor score correlations, Heywood cases, and the gap size between eigenvalues. A subsampling study was also conducted on a psychological dataset of individuals who filled in a Big Five Inventory via the Internet. Results showed that when data are well conditioned (i.e., high λ, low f, high p), EFA can yield reliable results for N well below 50, even in the presence of small distortions. Such conditions may be uncommon but should certainly not be ruled out in behavioral research data. ∗ These authors contributed equally to this work.
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                Author and article information

                Contributors
                Role: Lecturer, Research Scholar, Registered Nurse mandie.foster@ecu.edu.au , https://twitter.com/https://twitter.com/mandiefoster12
                Role: Associate Dean, Professor Research Nursing, Professor Research
                Role: Associate Professor Clinical Paediatrics, Associate Professor
                Journal
                J Adv Nurs
                J Adv Nurs
                10.1111/(ISSN)1365-2648
                JAN
                Journal of Advanced Nursing
                John Wiley and Sons Inc. (Hoboken )
                0309-2402
                1365-2648
                10 July 2019
                October 2019
                : 75
                : 10 ( doiID: 10.1111/jan.v75.10 )
                : 2246-2258
                Affiliations
                [ 1 ] School of Nursing and Midwifery Edith Cowan Univeristy Joondalup, Perth Western Australia Australia
                [ 2 ] Postgraduate Centre for Nursing Studies University of Otago Christchurch New Zealand
                [ 3 ] The University of Jordan, School of Nursing Amman Jordan
                Author notes
                [*] [* ] Correspondence

                Mandie Foster, School of Nursing and Midwifery, Edith Cowan Univeristy, 270 Joondalup Drive, Building 21, Joondalup, Perth, WA 6027, Australia.

                Email: mandie.foster@ 123456ecu.edu.au

                Author information
                https://orcid.org/0000-0002-3100-0885
                https://orcid.org/0000-0002-6395-0279
                https://orcid.org/0000-0003-2325-0398
                Article
                JAN14099
                10.1111/jan.14099
                6852052
                31197863
                ca600012-cbf5-4128-8825-51fd82721ea4
                © 2019 The Authors. Journal of Advanced Nursing Published by John Wiley & Sons Ltd

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 24 May 2018
                : 17 March 2019
                : 02 April 2019
                Page count
                Figures: 2, Tables: 3, Pages: 13, Words: 10075
                Funding
                Funded by: University of Otago, Christchurch, New Zealand , open-funder-registry 10.13039/100008247;
                Funded by: Edith Cowan University, School of Nursing and Midwifery, Australia , open-funder-registry 10.13039/501100001798;
                Categories
                Research Methodology: Instrument Development
                Research Papers
                Research Methodology: Instrument Development
                Custom metadata
                2.0
                October 2019
                Converter:WILEY_ML3GV2_TO_JATSPMC version:5.7.1 mode:remove_FC converted:13.11.2019

                Nursing
                child health care,child self‐report,children's needs,instrument development,nursing,reliability,validity

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