Figures
Abstract
Background
Assessing the level of transition readiness in adolescents with inflammatory bowel disease is crucial; however, standardized research tools are lacking. This study aimed to map transition readiness assessment tools for adolescents with inflammatory bowel disease and determine their suitability.
Methods
A literature review following the Arksey and O’Malley scoping review methodology was conducted. By using appropriate key terms, literature on transition readiness assessment tool searches were conducted in the CNKI, WanFang, SinoMed, Pubmed, Cochrane Library, Web of Science, and CINAHL databases, with a reference search. The retrieval period was from the establishment of the databases to January 2024.
Results
A total of 2561 studies were obtained through a preliminary search, and 5 references were obtained as retrospective references. Finally, 21 studies were selected for this review. In total, 20 transition readiness assessment tools were identified. Qualitative findings were grouped into five thematic areas: descriptive characteristics of reviewed articles, development procedures, design, psychometric properties, and cohort characteristics for validity testing of transition readiness assessment tools.
Conclusions
The most appropriate way to assess the transition readiness of adolescents with inflammatory bowel disease is to select an assessment tool that is most suitable for individual needs, accompanied by a comprehensive patient evaluation. Despite some flaws in the methodology, TRM is currently the most suitable assessment tool, and more population studies are needed to validate it.
Citation: Zuo Y, Li M, Cao J, Wang J, Cai W, Zhang L, et al. (2025) Assessment tools for transition readiness in adolescents with inflammatory bowel disease: A scoping review. PLoS ONE 20(1): e0317109. https://doi.org/10.1371/journal.pone.0317109
Editor: Sara Hemati, SKUMS: Shahrekord University of Medical Science, ISLAMIC REPUBLIC OF IRAN
Received: July 15, 2024; Accepted: December 22, 2024; Published: January 7, 2025
Copyright: © 2025 Zuo et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: All relevant data are within the manuscript and its Supporting information files.
Funding: The author(s) received no specific funding for this work.
Competing interests: The authors have declared that no competing interests exist.
Introduction
Inflammatory bowel disease (IBD) is a lifelong, nonspecific chronic gastrointestinal inflammatory disease. It comprises three primary subtypes: Crohn’s disease (CD), ulcerative colitis (UC), and IBD-unclassified (IBD-U) [1, 2]. The disease course of IBD is characterized by remitting and relapsing symptoms, which vary significantly between individuals. Notably, one-quarter of patients with IBD are diagnosed during childhood, and the incidence of this disease among children is on the rise [3]. With an increase in the number of children diagnosed with IBD, there is a growing number of young patients who must transition to the adult healthcare system. Transition Readiness is the ability of youth and their support system to transition from pediatric to adult health care system successfully [4]. It is usually used as an indicator of the healthcare transition process for children, reflecting the level of self-management ability, which has important predictive significance for quality of life with respect to disease after the transition [5]. Gumidyala [6] discovered that the majority of adolescents with IBD were not adequately prepared for transition, resulting in lower chances of successful transition, increased rates of emergency room visits, hospitalizations, and surgeries, and reduced quality of life. This significantly impacted their education, employment, and social integration. Bhawra [7] found that implementing effective transitional care can reduce emergency room admissions for adolescents with chronic conditions, save healthcare costs, and improve the health-related quality of life. Therefore, it is crucial to ensure a smooth transition of care for these patients as they enter adulthood with this complex illness. The first step in implementing transitional care is to conduct a comprehensive assessment of transition readiness [8]. Medical service providers should choose a suitable assessment tool to evaluate the level of transition preparation for children with IBD. It will help guide clinical decision-making and enable targeted nursing measures to improve the transition readiness. Hence, we can improve the quality and efficiency of medical services and reduce the wastage of medical resources [9]. To date, there are several tools available for assessing transition readiness, they are widely utilized in adolescents with a variety of chronic diseases, including digestive disorders [10, 11]. However, these transition readiness assessment tools have some shortcomings. For example, the Transition Readiness Assessment Questionnaire(TRAQ) [12] is limited to skill aspects. There is a lack of research that systematically reviews transition readiness assessment tools for adolescents with IBD. This has resulted in difficulties in the selection of appropriate tools. Therefore, the aim of this study was to map transition readiness assessment tools for children with IBD and identify deficiencies in the psychometric properties, applicability, and reliability of assessment tools.
Methods
Protocol
The review protocol followed the Arksey and O’Malley method of scoping review and JBI scoping review guidance [13]. The stages are as follows: research question, identifying relevant studies, study selection, charting the data, collating, summarizing, and reporting the results.
Research question
The following research questions were identified through a previous literature review: ① What are the current transition readiness assessment tools for IBD patients? ② How are the reliability and validity of each transition readiness assessment tool applied to IBD patients? ③ How is the IBD transition readiness assessment tool applied?
Identifying relevant studies
Information sources.
The following electronic databases were searched: CNKI, WanFang, SinoMed, Pubmed, Cochrane Library, Web of Science, and CINAHL. The last search date was 1st January 2024.
Search strategy.
The combination of Medical Subject Headings (MeSH) terms and free words was used to search the 7 abovementioned Chinese and English databases. The keywords searched were (("Health Transition") OR ("Transition to Adult Care") OR ("Transitional Care") OR ("transition readiness"))AND("adolescen*" OR "children" OR ("young adult*")) AND ("access" OR "measure" OR "questionnaire" OR "tool" OR "scale" OR "list"). The research team conducted a presearch in PubMed and CNKI and then analyzed and discussed the search results and adjusted the retrieval strategy for formal retrieval.
Study selection
Inclusion and exclusion criteria.
The inclusion criteria were as follows: ① the study population included pediatric children with IBD; ② the study involved the development, validation, revision, translation or cross-cultural adaptation of the transition readiness assessment tools; ③ the study type was a quantitative or qualitative study; and ④ the study language was Chinese or English.
The exclusion criteria were as follows: ① the full text could not be obtained; ② the abstract of a meeting; and ③ the collection of literature was repeated.
Screening process.
The retrieved literature titles were imported into Zotero software to screen repeated documents. According to the inclusion and exclusion criteria, the titles and abstracts were screened by two researchers alone. Finally, the articles that met the inclusion criteria were imported into full-text attachments for full-text reading.
Charting the data
Researchers independently and by pairs independently extracted the data and information and checked it. Disagreements were resolved by a third reviewer. The following data were extracted: developer, publication date, country/region, scoring method, demarcation value, number of dimensions, number of items, reliability and validity, and tool characteristics.
Results
Collating, summarizing, and reporting the results
A total of 2561 studies were obtained through a preliminary search, and 5 references were obtained as retrospective references. Two independent evaluators screened the studies and obtained the same results based on preestablished inclusion and exclusion criteria, leading to the inclusion of 21 articles [12, 14–33]. Fig 1 shows the screening process according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) model. The outcomes were grouped into five thematic areas: descriptive characteristics of reviewed articles, development procedures, design, psychometric properties, and cohort characteristics for validity testing of transition readiness assessment tools.
Descriptive characteristics of the reviewed articles
Overall, 21 articles involving 20 transition readiness assessment tools were included in this study. The earliest assessment tools were developed in 2011[12], and the most articles were published in 2015 (n = 4) [22–24, 26] and 2021 (n = 4) [18, 31–33]. A representation of the number of articles published per year is shown in Fig 2. These tools were developed by scholars from different countries, including the US (n = 8), China (n = 2), France (n = 2), Canada (n = 2), and other countries (n = 7).
Development procedures of transition readiness assessment tools
According to the principles of scale development [34], a set of scientific assessment tools needs to go through six steps: literature review, qualitative interviews, the Delphi method, group discussion, item analysis, and reliability and validity tests. Table 1 shows the development process of these 20 tools. Some assessment tools lacked some certain steps. Five assessment tools(TRAQ-29items [12], THRxEADS [27], TRM [28], State Assessment Questionnaire for Transition [29], and Checklist for Follow-up of Adolescents with Chronic Illness [31]) did not include qualitative interviews. Three assessment tools (the UNCTRxANSITION Scale [21], THRxEADS [27], and Checklist for Follow-up of Adolescents with Chronic Illness [31]) lacked Delphi methods. Three tools (Revised ON TRAC [26], THRxEADS [27], and TRM [28]) did not include group discussion. Additionally, two tools (the STARx Hungarian Version [19] and the State Assessment Questionnaire for Transition [29]) skipped item analysis.
Design of transition readiness assessment tools
Of the 20 transition readiness assessment tools, 2 tools [27, 31] were checklists, and the others were scales. There are some similarities and differences in the design of these tools. Most tools rely on patient self-reports, and only 4 tools [21, 27, 31, 32] use dual cross-referencing of patient statements with medical records. Most tools focused on medication management and self-management, with some examining other aspects. Only one of the 20 tools was designed for IBD [28]. Specific information is given in Table 2.
Psychometric properties of transition readiness assessment tools
The assessment of the methodological quality of the validation studies and the psychometric measurement qualities of the tools were integrated using Terwee’s criteria checklist [35]. The checklist includes explicit criteria for the following measurement properties: content validity, internal consistency, criterion validity, construct validity, reproducibility, responsiveness, floor and ceiling effects, and interpretability. Criterion validity was removed from the analysis because there is no gold standard for measuring transition readiness, and all correlations were with theoretically derived hypotheses (construct validity). More attention was given to content validity, internal consistency, and construct validity when making a quality assessment. Most tools scored poorly according to the Terwee criteria, as shown in Table 3.
Cohort characteristics for validity testing
The universality assessment tool had a diverse study population and was partially validated for those with IBD. Most of the tools have been validated in multicenter cross-sectional studies, with a few using a single center [15, 16, 20, 25, 26, 29, 33]. The age range of the validation population was large, ranging from 10 years old to 26 years old. The country of validation is mainly the USA. Table 4 shows the specific information of the cohort characteristics used for validity testing.
Discussion
Over the years, varied research has been published in terms of transition readiness. Different authors have agreed on the assessment of transition readiness as a relevant tool for the health field. A reliable and valid transition readiness tool may dissipate some of the uncertainty around the transition process and allow for tailoring of programs to suit patients’ transition demands [36]. However, existing tools have some limitations in assessing transition readiness in adolescents with IBD.
The scientific nature of the development process is critical to the assessment tool. Most of the assessment tools followed the six necessary steps for scientific accuracy. However, it was observed that some tools lacked certain key steps in their development, which may have some adverse effects. The absence of qualitative interviews may result in issues such as an inadequate construction of the scale’s entry pool, an insufficient representation of its content, a lack of depth of data, a disconnection between theory and experience, and a limited scope of application [37, 38]. Consequently, in the process of scale development, researchers should prioritise the role of qualitative interviews and ensure the scientific and practicality of the scale through in-depth qualitative research. Three assessment tools lacked Delphi methods, which may result in a reduction in the comprehensiveness and accuracy of the entries, as well as an impairment of the scale’s scientific and authoritative nature [39]. The Delphi methods is crucial for scale construction. It enhances the scientific rigour, credibility and practicality of the scale, thereby facilitating its wider application and dissemination [40]. Therefore, researchers should fully utilize the Delphi method throughout the scale construction process to guarantee the quality and practicality of the scale. And lacking group discussion may give rise to biases in the understanding of the subject matter and problems with the accuracy of data collection [41]. Additionally, it is of paramount importance to underscore the pivotal role of item analysis in the scale development process. Item analysis is an essential component of ensuring the reliability and effectiveness of a scale. It involves a comprehensive screening and optimisation process, conducted using scientific methods [42]. The absence of item analysis can have a significant impact on the quality and practicality of the scale, making it essential to prioritise this during scale development. All in all, missing important steps may result in incomplete or unclear scale entries, which can undermine the validity of the scale.
The 20 assessment tools for transition readiness are multidimensional and comprehensive. Among the various dimensions, the most common were “medication management” (n = 13) and “self-management” (n = 7). This indicates that most developers of scales believe that adolescents with chronic illnesses should be knowledgeable about their medications and take responsibility for managing their illnesses as they transition to adult healthcare. As for adolescents with IBD, the administration of biological agents is a crucial aspect of maintaining the disease in remission [43]. Furthermore, adolescents in this state are more likely to achieve successful transition. Additionally, it is of significant importance to adolescents with IBD that they develop self-management skills as they transition into adulthood. It can not only assist in managing the disease, but also facilitate the development of mental health, social and professional competencies [44]. Nineteen of the 20 tools were designed for adolescents with chronic diseases in general, and their specific content lacked specificity for adolescents with inflammatory bowel disease. For adolescents with inflammatory bowel disease, the administration of biologics is a large tissue they cannot ignore; they need to be aware of their biologic type, frequency of dosing, and adverse effects, among other factors [45]. In addition, they should adjust their life routines, such as rest, diet and exercise, according to their disease status and maintain a good mindset. Except for the RAISE [32], the number of entries for the other assessment tools ranged from 13–33. This is a reasonable number and allows patients to complete the scales. The number of scale entries is a crucial factor in determining the quality and usefulness of the scale. It has been demonstrated that scales with an excess of entries can result in a reduction in the willingness of respondents to cooperate, a state of respondent fatigue, and an increase in the analytical complexity of the scale. Conversely, scales with an insufficient number of entries can lead to limitations in content validity and the emergence of unidimensional bias [46]. Most of the tools rely on patient self-assessment, with only 4 (UNCTRxANSITION Scale [21], THRxEADS [27], Checklist for Follow-up of Adolescents with Chronic Illness [31], and RAISE [32]) using dual cross-referencing of patient statements and medical records. Although self-reporting is an economical and simple method, its accuracy cannot be guaranteed. Therefore, it is recommended that an assessment tool be used that combines subjective evaluations with objective results.
This scoping review shows that the psychometric properties of 20 available transition readiness tools are limited or untested. Only TRAQ-29 items [12] received positive ratings for the most important measurement properties: content validity, internal consistency, and construct validity. Some of the assessment tools [14–16, 19, 23, 24, 29] have aggregate scale Cronbach’s α coefficients that exceed 0.7, while the subscale Cronbach’s α coefficients fall below 0.7. When using these scales, it is important to concentrate on the overall score rather than individual parts [47]. Three of the measurement tools [12, 17, 28] were found to have internal consistency in the applicable population, and their Cronbach’s α coefficients were higher than 0.90. This suggests that there may be item encumbrance in the tools, which presents ethical and practical problems related to answering burdens in large sample surveys [48]. Hence, further research is required to refine these tools and address the challenges posed by item encumbrance. The content validity was assessed by assigning values to the importance of the entries by experts in each field. The content validity of most tools was good, but some did not report it. If content validity is not reported, other researchers will not know if the scale covers all the concepts it’s supposed to. This calls into question the integrity of the scale. A lack of transparency may lead other researchers to doubt and reject the scale thus affects the application and dissemination of the scale [49]. The construct validity of a questionnaire is the degree to which it measures what it is intended to measure based on theoretical assumptions. Most of the tools have been validated by measures of age, gender, disease type, and disease duration. As much of the value of a transition readiness tool is in its ability to time transition for optimal health outcomes, a longitudinal study of the tool’s ability to predict future transition outcomes is necessary. These outcomes could include the number of hospital admissions, number of surgeries and so on [50]. Three assessment tools [25, 30, 33] showed good retest reliability (one [33] had a small sample), while the rest lacked evidence of consistency over time. According to the data analysis, the sensitivity to age is usually high, but the time stability is low. To make it easier to determine the transition target of different age groups, it is recommended to refine the age grouping in the data analysis. Only one assessment tool [21] showed good interrater reliability. Inter-rater reliability plays a crucial role in ensuring consistency and reliability of scoring results [51]. Floor or ceiling effects were ignored by most tools, with only five tools [15–17, 19, 30] reporting them, two [15, 16, 30] of which received positive ratings. These two effects are where the range of the response indicator is not large enough and the response stays at the top or bottom of the indicator scale, thus suffering a loss of validity of the indicator [52]. This means that the content analyzed by the scale may not effectively differentiate between individuals. In terms of interpretability, most tools compare the mean and standard deviation of patients’ transition readiness in different groups, but none of these tools provide a definition of minimal important change (MIC). Moreover, none of these tools were studied in terms of decision values, and the threshold or its other form of reference score can also be used as an explanatory reference for future studies.
The validation studies originate from the USA, Canada, France, Hungary, China, Japan, Argentina, Israel, Chile and the Netherlands, and most used multi-center authentication. The validity of specific content or overall scores needs to be tested in culturally diverse areas and in different health care settings. One difference in health care provision between nations is the ability of pediatric clinicians to continue to care for young adults [53, 54]. For example, in China, the licensing and funding arrangements are such that children’s hospitals do not admit patients older than 18 years [55]. This raises questions about the validity of these tools in a country with a different healthcare system and supports the need for ongoing validation trials. The initial subjects of the 19 assessment tools were not IBD patients but were developed in patients with general chronic diseases. Due to the heterogeneity of the patient population, reliability and validity tests for IBD patients are essential. Only the TRAQ Hungarian Version[19], TRAQ-NL[30], and STARx Hungarian Version[19] were used for the validation of the IBD patient population. The reliability and validity of the tool should be further verified before clinical use.
The transition readiness assessment tools are ultimately intended to be used in clinical settings, and they can effectively measure the level of transition readiness of these children with chronic disease. When utilizing these assessment tools, a series of principles must be adhered to. Firstly, the timing of the assessment should be tailored to the accessibility of adult health care facilities in various countries and conducted as early as feasible. For example, according to the transition practice guidelines in the United States [56], it is advisable to initiate discussions regarding transition-related policies at age 12. Preparation for this transition should occur between ages 14 and 18, with the official transfer to adult healthcare taking place between ages 18 and 21. Therefore, in the United States, transition readiness levels should be assessed starting from age 14. Furthermore, it is recommended that evaluations be conducted by professionals with specialized knowledge. Additionally, it is the recommended approach to compare the patient’s self-assessment results with medical records. This method ensures that the assessment outcomes are more objective and accurate.
The results of this study suggest that there are common elements in the assessment tools of transition readiness in adolescents with IBD with other chronic physical health conditions, such as emphasizing self-management ability and medical skills [57]. Disease-specific measurement tools have their own unique features, such as the assessment tools for childhood cancer survivors, which adds the assessment of cancer-induced emotional problems and cancer recurrence [58]; Similarly, the transition in adolescents with IBD is unique in that it should focus on knowledge of the medications and its impact on the future. The challenges and gaps identified in transition readiness for IBD are unique in chronic disease management.
Strengths and limitations
This study is the first one to map transition readiness assessment tools for adolescents with IBD from the aspects of development procedures, design, psychometric properties, and cohort characteristics for validity testing. Existing tools have several limitations in assessing transition readiness in adolescents with IBD. It would be appropriate for future studies to exam the validility and reliabilibity of these tools in adolescents with IBD via more population studies. Besides, new assessment tools with a complete development process should be tailored to the characteristics of adolescents with inflammatory bowel disease. They should be consistent with the national healthcare context and use a large amount of demographic data to validate their scientific validity and effectiveness.
The main limitation that can be found throughout this study is that the inclusion of articles limiting the language to English and Chinese may have resulted in the loss of some scales published in other languages.
Conclusion
The transitional readiness of adolescents with IBD plays an important role in the quality of life of children later in life. Although there are several valid instruments for screening transition readiness, all of these instruments have unique characteristics with strengths and weaknesses. Overall, the TRM is currently the most suitable assessment tool; however, its methodological quality remains to be further validated, and the accuracy of the results is limited by the manner in which the self-assessment test was completed. The most appropriate assessment tool to be used is the one that best suits individual conditions, accompanied by a comprehensive assessment of the patient. Despite the significant progress made in the field, more population studies are needed. Additionally, assessment tools should be developed that are adapted to the characteristics of the study population and are applicable to a wide range of populations.
Supporting information
S1 Table. Content, reliability and validity of transition readiness assessment tools (n = 20).
https://doi.org/10.1371/journal.pone.0317109.s001
(XLSX)
S2 Table. All studies identified through our literature search (n = 2566).
https://doi.org/10.1371/journal.pone.0317109.s002
(XLSX)
S3 Table. All data extracted from each study for this scoping review (n = 21).
https://doi.org/10.1371/journal.pone.0317109.s003
(XLSX)
S1 Checklist. Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) checklist.
https://doi.org/10.1371/journal.pone.0317109.s005
(PDF)
Acknowledgments
We would like to thank the hospital’s technical faculty for their guidance on methodology.
References
- 1. Lamb CA, Kennedy NA, Raine T, Hendy PA, Smith PJ, Limdi JK, et al. British Society of Gastroenterology consensus guidelines on the management of inflammatory bowel disease in adults. Gut. 2019;68(Suppl 3):s1–s106. pmid:31562236
- 2. Kamp KJ, Brittain K. Factors that influence treatment and non-treatment decision making among individuals with inflammatory bowel disease: an integrative review. Patient. 2018 Jun;11(3):271–284. pmid:29313266
- 3. Ng SC, Shi HY, Hamidi N, Underwood FE, Tang W, Benchimol EI, et al. Worldwide incidence and prevalence of inflammatory bowel disease in the 21st century: a systematic review of population-based studies. Lancet. 2017;390(10114):2769–2778. pmid:29050646
- 4. Straus EJ. Challenges in measuring healthcare transition readiness: taking stock and looking forward. J Pediatr Nurs. 2019;46:109–117. pmid:30928897
- 5. Sheng N, Ma J, Ding W, Zhang Y. Family management affecting transition readiness and quality of life of Chinese children and young people with chronic diseases. J Child Health Care. 2018;22(3):470–485. pmid:29361839
- 6. Gumidyala AP, Greenley RN, Plevinsky JM, Poulopoulos N, Cabrera J, Lerner D, et al. Moving on: transition readiness in adolescents and young adults with IBD. Inflamm Bowel Dis. 2018;24(3):482–489. pmid:29462383
- 7. Bhawra J, Toulany A, Cohen E, Moore Hepburn C, Guttmann A. Primary care interventions to improve transition of youth with chronic health conditions from paediatric to adult healthcare: a systematic review. BMJ Open. 2016;6(5):e011871. pmid:27150188
- 8. Barros ALBL, Lucena AF, Almeida MA, Brandão MAG, Santana RF, Cunha ICKO, et al. The advancement of knowledge and the new Cofen resolution on the Nursing Process. Rev Gaucha Enferm. 2024;45:e20240083. pmid:38896697
- 9. Sipanoun P, Aldiss S, Porter L, Morgan S, Powell E, Gibson F. Transition of young people from children’s into adults’ services: what works for whom and in what circumstances—protocol for a realist synthesis. BMJ Open. 2024;14(1):e076649. pmid:38176872
- 10. Khan SM, Tuchman D, Imran A, Lakdawala FM, Mansoor S, Abraham J. A smooth transition: assessing transition readiness in adolescents with inflammatory bowel disease. Dig Dis Sci. 2024;69(10):3640–3649. pmid:38782855
- 11. Hart L, Gariepy C, Woodward JF, Lara LF, Conwell D, Abu-El-Haija M. Addressing the transition to adult health care for adolescents and young adults with pancreatic disorders. Cureus. 2024;16(4):e57972. pmid:38738083
- 12. Sawicki GS, Lukens-Bull K, Yin X, Demars N, Huang IC, Livingood W, et al. Measuring the transition readiness of youth with special healthcare needs: validation of the TRAQ—Transition Readiness Assessment Questionnaire. J Pediatr Psychol. 2011;36(2):160–71. pmid:20040605
- 13. Arksey H, O’Malley L. Scoping studies: towards a methodological framework. Int. J. Soc. Res. Methodol. 2005: 8(1): 19–32.
- 14. Wood DL, Sawicki GS, Miller MD, Smotherman C, Lukens-Bull K, Livingood WC, et al. The Transition Readiness Assessment Questionnaire (TRAQ): its factor structure, reliability, and validity. Acad Pediatr. 2014;14(4):415–22. pmid:24976354
- 15. De Cunto CL, Eymann A, Britos ML, González F, Roizen M, Rodríguez Celin ML, et al. Cross-cultural adaptation of the Transition Readiness Assessment Questionnaire to Argentinian Spanish. Arch Argent Pediatr. 2017;115(2):181–187.
- 16. González F, Roizen M, Rodríguez Celin ML, De Cunto C, Eymann A, Mato R, et al. Validation of the Argentine Spanish version of Transition Readiness Assessment Questionnaire for adolescents with chronic conditions. Arch Argent Pediatr. 2017;115(1):18–27.
- 17. Sato Y, Ochiai R, Ishizaki Y, Nishida T, Miura K, Taki A, et al. Validation of the Japanese Transition Readiness Assessment Questionnaire. Pediatr Int. 2020;62(2):221–228. pmid:31820509
- 18. Johnson K, McBee M, Reiss J, Livingood W, Wood D. TRAQ Changes: improving the measurement of transition readiness by the Transition Readiness Assessment Questionnaire. J Pediatr Nurs. 2021;59:188–195. pmid:34020387
- 19. Dohos D, Váradi A, Farkas N, Erős A, Müller KE, Karoliny A, et al. Hungarian linguistic, cross-cultural and age adaptation of transition specific questionnaires in patients with inflammatory bowel disease. Children (Basel). 2023;10(4):711. pmid:37189959
- 20. van Gaalen MAC, van Gijn E, van Pieterson M, de Ridder L, Rizopoulos D, Escher JC. Validation and reference scores of the Transition Readiness Assessment Questionnaire in adolescent and young adult IBD patients. J Pediatr Gastroenterol Nutr. 2023;77(3):381–388. pmid:37347146
- 21. Ferris ME, Harward DH, Bickford K, Layton JB, Ferris MT, Hogan SL, et al. A clinical tool to measure the components of health-care transition from pediatric care to adult care: the UNC TR(x)ANSITION scale. Ren Fail. 2012;34(6):744–53. pmid:22583152
- 22. Sawicki GS, Garvey KC, Toomey SL, Williams KA, Chen Y, Hargraves JL, et al. Development and validation of the adolescent assessment of preparation for transition: a novel patient experience measure. J Adolesc Health. 2015;57(3):282–7. pmid:26299555
- 23. Cohen SE, Hooper SR, Javalkar K, Haberman C, Fenton N, Lai H, et al. Self-management and transition readiness assessment: concurrent, predictive and discriminant validation of the STARx questionnaire. J Pediatr Nurs. 2015;30(5):668–76. pmid:26165785
- 24. Ferris M, Cohen S, Haberman C, Javalkar K, Massengill S, Mahan JD, et al. Self-management and transition readiness assessment: development, reliability, and factor structure of the STARx questionnaire. J Pediatr Nurs. 2015;30(5):691–9. pmid:26209873
- 25. Huang Y, Wang H, Diaz-Gonzalez de Ferris M, Qin J. Translation and validation of the STAR(x) questionnaire in transitioning Chinese adolescents and young adults with chronic health conditions. J Pediatr Nurs. 2023;71:111–119. pmid:36464544
- 26. Moynihan M, Saewyc E, Whitehouse S, Paone M, McPherson G. Assessing readiness for transition from paediatric to adult health care: Revision and psychometric evaluation of the Am I ON TRAC for Adult Care questionnaire. J Adv Nurs. 2015;71(6):1324–35. pmid:25616006
- 27. Chadi N, Amaria K, Kaufman M. Expand your HEADS, follow the THRxEADS! Paediatr Child Health. 2017;22(1):23–25. pmid:29483791
- 28. Hammerman O, Bayatra A, Turner D, Levine A, Shamir R, Assa A, et al. Initial development and validation of a transition readiness scale for adolescents with inflammatory bowel disease. Gastroenterol Res Pract. 2019;2019:5062105. pmid:31316560
- 29. Funes D F, León L F, Valenzuela C R. Assessment of knowledge and autonomy for the transition from adolescent toward adult care. Rev Chil Pediatr. 2020;91(5):722–731.
- 30. Mellerio H, Jacquin P, Trelles N, Le Roux E, Belanger R, Alberti C, et al. Validation of the "Good2Go": the first French-language transition readiness questionnaire. Eur J Pediatr. 2020;179(1):61–71. pmid:31515671
- 31. Fourmaux C, Lefevre H, Safsaf H, Jacquin P, Rouget S, de Tournemire R, et al. Checklist for follow-up of adolescents with chronic illness. A monitoring tool to help prepare the transition from pediatric to adult care. Arch Pediatr. 2021;28(6):480–484. pmid:34147297
- 32. Shanske S, Bond J, Ross A, Dykeman B, Fishman LN. Validation of the RAISE (Readiness Assessment of Independence for Specialty Encounters) tool: provider-based transition evaluation. J Pediatr Nurs. 2021;59:103–109. pmid:33845322
- 33. Huang J, Wang J, Liang Y, Wang W, Wang Y. [Development and validation of self-assessment scale of transition readiness for adolescents]. Journal of Nursing Science. 2021, 36(17): 36–39. Chinese.
- 34.
DeV Robert F.. Scale development: Theory and applications. 4th ed. California: SAGE Publications, Inc; 2016.
- 35. Terwee CB, Bot SD, de Boer MR, van der Windt DA, Knol DL, Dekker J, et al. Quality criteria were proposed for measurement properties of health status questionnaires. J Clin Epidemiol. 2007; 60:34–42. pmid:17161752
- 36. Diaz-Gonzalez de Ferris ME, Ferris MT, Filler G. Transition from paediatric to adult-focused care: unresolved issues. Nat Rev Nephrol. 2021;17(11):705–706. pmid:34385678
- 37.
Gubrium Jaber F, Holstein James A, Marvasti Amir B, McKinney Karyn D. The SAGE Handbook of Interview Research: The Complexity of the Craft. 2nd ed. Thousand Oaks, CA: SAGE Publications, Inc; 2012.
- 38. Zhang Y, Zhou H, Bai Y, Chen Z, Wang Y, Hu Q, et al. Development and validation of a questionnaire to measure the congenital heart disease of children’s family stressor. Front Public Health. 2024;12:1365089. pmid:38751578
- 39. Wu Y, Walsh K, White SLJ, L’Estrange L. Schools’ readiness for child sexual abuse prevention education: Preliminary scale development using a Delphi method. Child Abuse Negl. 2024;154:106884. pmid:38875868
- 40. Li X, Shen C. [Application status quo of Delphi method in nursing]. Chin J Mod Nurs. 2012,18 (22): 2605–2607. Chinese.
- 41. Liang J, Liu F, Fan J. [Orientation of scale use in Chinese management studies(2006~2015):Key questions and suggestions for improvement. Quarterly Journal of Management]. (02), 41–63+127. Chinese.
- 42. Shi H, Ren Y, Xian J, Ding H, Liu Y, Wan C. Item analysis on the quality of life scale for anxiety disorders QLICD-AD(V2.0) based on classical test theory and item response theory. Ann Gen Psychiatry. 2024;23(1):19. pmid:38730281
- 43. Ran Z, Wu K, Matsuoka K, Jeen YT, Wei SC, Ahuja V, et al. Asian Organization for Crohn’s and Colitis and Asia Pacific Association of Gastroenterology practice recommendations for medical management and monitoring of inflammatory bowel disease in Asia. J Gastroenterol Hepatol. 2021;36(3):637–645. pmid:32672839
- 44. Malloy C, Rawl SM, Miller WR. Inflammatory bowel disease self-management: exploring adolescent use of an online instagram support community. Gastroenterol Nurs. 2022;45(4):254–266. pmid:35833744
- 45. Jois A, Alex G. Inflammatory bowel disease in children. Indian J Pediatr. 2024;91(5):490–498. pmid:37338669
- 46. Tao LY, Zhang H, Zhao YM. [Basic ideas and methods of scale development in clinical research]. Chin J Pediatr. 2019,57(05):400–400. Chinese.
- 47. Prinsen CAC, Mokkink LB, Bouter LM, Alonso J, Patrick DL, de Vet HCW, et al. COSMIN guideline for systematic reviews of patient-reported outcome measures. Qual Life Res. 2018;27(5):1147–1157. pmid:29435801
- 48.
Nunnally JC, Bernstein IH. Psychometric theory. 3rd ed. New York: McGraw-Hill; 1994.
- 49. Shi J, Mo X, Sun Z. [Content validity index in scale development]. Journal of Central South University(Medical Science). 2012,37(02):49–52. Chinese. pmid:22561427
- 50. Nardone OM, Martinelli M, de Sire R, Calabrese G, Caiazzo A, Testa A, et al. Time to grow up: readiness associated with improved clinical outcomes in pediatric inflammatory bowel disease patients undergoing transition. Therap Adv Gastroenterol. 2024;17:17562848241241234. pmid:38827647
- 51. Yasumura D, Katsukawa H, Matsuo R, Kawano R, Taito S, Liu K, et al. Feasibility and inter-rater reliability of the Japanese version of the Intensive Care Unit Mobility Scale. Cureus. 2024;16(4):e59135. pmid:38803745
- 52. McHorney CA, Tarlov AR. Individual-patient monitoring in clinical practice: are available health status surveys adequate? Qual Life Res. 1995;4:293e307. pmid:7550178
- 53. Bennett AL, Moore D, Bampton PA, Bryant RV, Andrews JM. Outcomes and patients’ perspectives of transition from paediatric to adult care in inflammatory bowel disease. World J Gastroenterol. 2016;22(8):2611–20. pmid:26937149
- 54. Maddux MH, Ricks S, Bass J. Patient and caregiver perspectives on transition and transfer. Clin Pediatr (Phila). 2017;56(3):278–283. pmid:27178828
- 55. Zhou M, Xu Y, Zhou Y. Factors influencing the healthcare transition in Chinese adolescents with inflammatory bowel disease: a multi-perspective qualitative study. BMC Gastroenterol. 2023;23(1):445. pmid:38110881
- 56.
White P, Schmidt A, Ilango S, Shorr J, Beck D, McManus M. Six core elements of health care transition™ 3.0: an implementation guide (Got Transition, 2020). https://gottransition.org/6ce/?leaving-ImplGuide-full.
- 57. Schwartz LA, Daniel LC, Brumley LD, Barakat LP, Wesley KM, Tuchman LK. Measures of readiness to transition to adult health care for youth with chronic physical health conditions: a systematic review and recommendations for measurement testing and development. J Pediatr Psychol. 2014;39(6):588–601. pmid:24891440
- 58. Otth M, Denzler S, Koenig C, Koehler H, Scheinemann K. Transition from pediatric to adult follow-up care in childhood cancer survivors-a systematic review. J Cancer Surviv. 2021;15(1):151–162. pmid:32676793