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A Comparative Study of Minimum Data Set of Speech Therapy: A Systematic Literature Review
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Abstract
Introduction: A minimum data set improves the potential of data standardization and overcoming the problem of low-quality speech therapy data by providing coherent, complete, and uniform data elements. Therefore, this study was conducted to compare speech therapy minimum data set among different countries.
Material and Methods: A systematic review was conducted without time limits in PubMed, Scopus, Web of Science, Embase, SID, Magiran, Elmnet databases, and in the Google search engine to retrieve articles, speech therapy forms, and speech therapy registry sites. Keywords related to speech therapy minimum data set including minimum data set, registry, and speech therapy, were used. First, studies were reviewed based on titles and abstracts. Then, the selected studies from the previous stage were examined independently by two researchers. A similar standard checklist was used to extract and compare the findings.
Results: A total of 1710 related records were extracted for review, and finally, six main articles and 11 forms were included in this review. The six original articles included two related to speech therapy minimum data set in the United States, two related to Iran, and one related to Australia and Germany. A comparative review of the most important data elements obtained from the articles and input forms in this review, including identity and admission information, referral information, history, assessment of verbal skills, assessment of non-verbal skills, assessment of organs of production, assessment of cognitive skills, assessment of other aspects of speech, and linguistic and cultural considerations, were information elements related to diagnoses, recommendations, and treatment plans.
Conclusion: It could be concluded that an agreed classification system is needed to facilitate communication between speech therapists. This potentially enables further testing of diagnostic and therapeutic hypotheses with more coherent and simultaneous data collection. The challenge ahead is to create a comprehensive and universally agreed-upon classification system that meets the needs of professionals and researchers.Keywords
References
Rajabi S, Nemati F, Narimani M. Improving the quality of Farsi speech and the academic performance of Azeri-Farsi bilingual students through attending drama therapy sessions. The Arts in Psychotherapy. 2013; 40(5): 478-85.
Damanabi S, Abdolnejad S, Karimi G. Suggested minimum data set for speech therapy centers affiliated to Tabriz university of medical sciences. Acta Inform Med. 2015; 23(4): 243-7. PMID: 26483600 DOI: 10.5455/aim.2015.23.243-247
Cieza A, Causey K, Kamenov K, Hanson SW, Chatterji S, Vos T. Global estimates of the need for rehabilitation based on the Global Burden of Disease study 2019: A systematic analysis for the Global Burden of Disease Study 2019. Lancet. 2021; 396(10267): 2006-17. PMID: 33275908 DOI: 10.1016/S0140-6736(20)32340-0
World Health Organization. Rehabilitation in health sys tems: Guide for action. World Health Organization; 2019.
Gupta N, Castillo-Laborde C, Landry MD. Health-related rehabilitation services: Assessing the global supply of and need for human resources. BMC Health Serv Res. 2011; 11: 276. PMID: 22004560 DOI: 10.1186/1472-6963-11-276
Moghaddasi H. Health data processing. Wordprocessing Pub; 2008.
Ajami S, Maghsoudlorad AA. The role of information systems to manage cerebral palsy. Iran J Child Neurol. 2016; 10(2): 1-9. PMID: 27247578
Gliklich RE, Dreyer NA, Leavy MB. Registries for evaluating patient outcomes: A user’s guide. 4th Ed. Agency for Healthcare Research and Quality; 2014.
Karbasi Z, Kadivar M, Safdari R, Shahmoradi L, Zahmatkeshan M, Zakerabasali S, et al. Better monitoring of abused children by designing a child abuse surveillance system: Determining national child abuse minimum data set. Int J Health Plann Manage. 2020; 35(4): 843-51. PMID: 31840288 DOI: 10.1002/hpm.2935
Bitarafan B, Jahanshahi A, Shahbazian H, Nooshabadi Z. Designing a minimum data set for thyroid cancer in Iran. International Journal of Cancer Management. 2020; 13(4): e96997.
Kalankesh LR, Dastgiri S, Rafeey M, Rasouli N, Vahedi L. Minimum data set for cystic fibrosis registry: A case study in Iran. Acta Inform Med. 2015; 23(1): 18-21. PMID: 25870486 DOI: 10.5455/aim.2015.23.18-21
Hornby K, Shemie SD, Appleby A, Dodd N, Gill J, Kim J, et al. Development of a national minimum data set to monitor deceased organ donation performance in Canada. Can J Anaesth. 2019; 66(4): 422-31. PMID: 30689134 DOI: 10.1007/s12630-018-01290-8
Cai S, Mukamel DB, Veazie P, Temkin-Greener H. Validation of the minimum data set in identifying hospitalization events and payment source. J Am Med Dir Assoc. 2011; 12(1): 38-43. PMID: 21194658 DOI: 10.1016/j.jamda.2010.02.001
Bauer JM, Sieber CC. Significance and diagnosis of malnutrition in the elderly. Z Arztl Fortbild Qualitatssich. 2007; 101(9): 605-9. PMID: 18269051 DOI: 10.1016/j.zgesun.2007.09.008
Ahmadi M, Madani T, Alipour J. Development a national minimum data set (MDS) of the information management system for disability in Iran. Disabil Health J. 2019; 12(4): 641-8. PMID: 31164283 DOI: 10.1016/j.dhjo.2019.05.008
Abdelhak M, Grostick S, Hanken MA. Health information: Management of a strategic resource. Elsevier Health Sciences; 2014.
Laing K. Use of the SGNA minimum data set in the clinical area. Gastroenterol Nurs. 2005; 28(1): 59-60. PMID: 15738737 DOI: 10.1097/00001610-200501000-00015
Watzlaf VJ, Zeng X, Jarymowycz C, Firouzan PA. Standards for the content of the electronic health record. Perspect Health Inf Manag. 2004; 1: 1. PMID: 18066381
Mousavi Baigi SF, Sarbaz M, Sobhani-Rad D, Mousavi AS, Kimiafar K. Rehabilitation registration systems: Current recommendations and challenges. Frontiers in Health Informatics. 2022; 11: 124.
Baigi S, Sarbaz M, Sobhani-Rad D, Dahmardeh F, Mehneh MR, Mousavi AS, et al. Rehabilitation information systems: What we know and what we want. International Journal of Health Sciences. 2022; 6(S7): 48241-55.
Mousavi Baigi SF, Sarbaz M, Sobhani-Rad D, Kimiafar K. A comparative study of rehabilitation information systems in 8 countries: A literature review. Iranian Rehabilitation Journal. 2023; 21(1): 1-16.
Mousavi Baigi SF, Moradi F, Vasseifard F, Mohammad Abadi F, Mazaheri Habibi MR. The effect of nutrition training on knowledge of students at university of medical sciences. Topics in Clinical Nutrition. 2022; 37(3): 236-41.
Aval RN, Mousavi Baigi SF, Sarbaz M, Kimiafar K. Security, privacy, and confidentiality in electronic prescribing systems: A review study. Frontiers in Health Informatics. 2022; 11(1): 115.
Sarbaz M, Baigi S, Marouzi P, Hasani S, Kimiafar K. Type and number of errors of the Iranian Electronic Health Record (SEPAS) in hospitals affiliated with Mashhad university of medical sciences. Stud Health Technol Inform. 2022; 295: 354-7. PMID: 35773882 DOI: 10.3233/SHTI220736
Sarbaz M, Monazah FM, Eslami S, Kimiafar K, Mousavi Baigi SF. Effect of mobile health interventions for side effects management in patients undergoing chemotherapy: A systematic review. Health Policy and Technology. 2022; 11(4): 100680.
Mousavi Baigi SF, Sarbaz M, Ghaddaripouri K, Noori N, Kimiafar K. The effect of tele-rehabilitation on improving physical activity in patients with chronic obstructive pulmonary disease: A systematic review of randomized controlled clinical trials. Frontiers in Health Informatics. 2022; 11(1): 113.
Mousavi Baigi SF, Sarbaz M, Marouzi P, Kimiafar K. Evaluating the impact of digital game on learning medical terminology of paramedical students: Protocol for a randomized controlled trial. Stud Health Technol Inform. 2022; 295: 51-4. PMID: 35773804 DOI: 10.3233/SHTI220658
Mousavi Baigi SF, Mousavi AS, Kimiafar K, Sarbaz M. Evaluating the cost effectiveness of tele-rehabilitation: A systematic review of randomized clinical trials. Frontiers in Health Informatics. 2022; 11: 118.
Mousavi Baigi SF, Raei Mehneh M, Sarbaz M, Norouzi Aval R, Kimiafar K. Telerehabilitation in response to critical coronavirus: A systematic review based on current evidence. Journal of Isfahan Medical School. 2022; 40(678): 498-508.
Mousavi AS, Mousavi Baigi SF, Dahmardeh F, Mehneh MR, Darrudi R. Teleophthalmology: A systematic review of randomized controlled trials. Frontiers in Health Informatics. 2023; 12: 141.
Mousavi Baigi SF, Mousavi Baigi SM, Habibi Mazaheri MR. Challenges and opportunities of using telemedicine during COVID-19 epidemic: A systematic review. Frontiers in Health Informatics. 2022; 11: 109.
Rees M, Herbert EL, Coates NH. Development of a standard case record form. J Speech Hear Disord. 1969; 34(1): 68-81. PMID: 5765864 DOI: 10.1044/jshd.3401.68
Baker E, Williams AL, McLeod S, McCauley R. Elements of phonological interventions for children with speech sound disorders: The development of a taxonomy. Am J Speech Lang Pathol. 2018; 27(3): 906-35. PMID: 29801043 DOI: 10.1044/2018_AJSLP-17-0127
Schindel D, Mandl L, Schilling R, Meisel A, Schenk L. Guideline adherence in speech and language therapy in stroke aftercare: A health insurance claims data analysis. PLoS One. 2022; 17(2): e0263397. PMID: 35113968 DOI: 10.1371/journal.pone.0263397
Paul D, Hasselkus A. Clinical record keeping in speech-language pathology for health care and third-party payers. American Speech-Language-Hearing Association; 2004.
Resourse packet for speech/language impairments general assessment [Internet]. 2014 [cited: 23 Mar 2023]. Available from: https://www.oldschoolspeech.com/2013/10/
Demographics and history form [Internet]. 2012 [cited: 23 Mar 2023]. Available from: https://docplayer.net/78849334-All-about-noms-a-guide-to-understanding-and-applying-quality-data-to-improve-patient-care.html
Speech, Language, and Hearing Clinic [Internet]. Adult case history information. 2019 [cited: 15 Mar 2023]. Available from: https://acquia-prod.hhd.psu.edu/sites/default/files/communication-sciences-and-disorders-csd/speech-language-and-hearing-clinic/communication-sciences-and-disorders-csd-speech-language-and-hearing-clinic-new-adult-client.pdf
Durable Medical Equipment Program Management Unit [Internet]. Speech language pathologist (SLP) evaluation for speech generating devices. 2010 [cited: 17 Mar 2023]. Available from: https://www.hca.wa.gov/assets/billers-and-providers/15-310.pdf
Stockton Unified School District [Internet]. Evaluation form speech language pathologist. 2012 [cited: 23 Mar 2023]. Available from: https://www.stocktonusd.net/cms/lib/CA01902791/Centricity/Domain/151/Speech%20Language%20Pathologist%20-%20Evaluation%20Form%203.31.23.pdf
Speech-language evaluation report template [Internet]. 2010 [cited: 17 Mar 2023]. Available from: https://www.tn.gov/content/dam/tn/education/special-education/eligibility/se_eligibility_speech-language_evaluation_report_template.docx
Speech pathology paediatric case history form [Internet]. 2016 [cited: 17 Mar 2023]. Available from: https://slhs.arizona.edu/sites/default/files/gbc_child_case_history_form_2016_0.pdf
Adult case history form[Internet]. 2016 [cited: 17 Mar 2023]. Available from: https://slhs.arizona.edu/sites/default/files/adult_case_history_form_speech_2016.pdf
University of Arizona. Aphasia case history [Internet]. 2008 [cited: 23 Mar 2023]. Available from: https://slhsfac.arizona.edu/sites/slhsfac.sites.arizona.edu/files/Aphasia%20Case%20Hx.pdf
Speech-language pathology child case history form [Internet]. 2014 [cited: 23 Mar 2023]. Available from: https://dokumen.tips/documents/speech-language-pathology-child-case-history-speech-language-pathology-child-case.html?page=1
Speech, language pathology child case history form [Internet]. 2004 [cited: 23 Mar 2023]. Available from: https://www.handyhandouts.com/pdf/69_Speech_Language_Hearing_Case.pdf
Waring R, Knight R. How should children with speech sound disorders be classified? A review and critical evaluation of current classification systems. Int J Lang Commun Disord. 2013; 48(1): 25-40. PMID: 23317382 DOI: 10.1111/j.1460-6984.2012.00195.x
Shriberg LD. Childhood speech sound disorders: From postbehaviorism to the postgenomic era. In: Paul R, Flipsen P. Speech sound disorders in children. Plural Publishing, Inc; 2009.
Holm A, Crosbie S, Dodd B. Treating inconsistent speech disorders. Child Language Teaching and Therapy. 2008; 25(1): 9-30.
Stackhouse J, Wells B. Children's speech and literacy difficulties: A psycholinguistic framework. Wiley; 1997.
McPherson A, Durham J, Richards N, Gouda H, Rampatige R, Whittaker M. Strengthening health information systems for disability-related rehabilitation in LMICs. Health Policy Plan. 2017; 32(3): 384-94. PMID: 27935799 DOI: 10.1093/heapol/czw140
Arastoo AA, Nickbakht M, Ghasemzadeh R, Azizi A, Zahednejad S, Latifi SM. Developing a national minimum data set for physiotherapy in Iran: A delphi study. European Journal of Scientific Research. 2013; 107(4): 573-9.
Ahmadi M, Mohammadi A, Chraghbaigi R, Fathi T, Baghini MS. Developing a minimum data set of the information management system for orthopedic injuries in Iran. Iran Red Crescent Med J. 2014; 16(7): e17020. PMID: 25237576 DOI: 10.5812/ircmj.17020
Ghazisaeidi M, Safdari RS, Khodaii MR, Hamidi M. Minimum data set for electronic health card of schizophrenia. Annals of Military and Health Sciences Research. 2015; 13(2): e62613.
Mousavi Baigi SF, Sarbaz M, Ghaddaripouri K, Ghaddaripouri M, Mousavi AS, Kimiafar K. Attitudes, knowledge, and skills towards artificial intelligence among healthcare students: A systematic review. Health Sci Rep. 2023; 6(3): e1138. PMID: 36923372 DOI: 10.1002/hsr2.1138
Ghaddaripouri K, Mousavi Baigi SF, Abbaszadeh A, Mazaheri Habibi MR. Attitude, awareness, and knowledge of telemedicine among medical students: A systematic review of cross‐sectional studies. Health Sci Rep. 2023; 6(3): e1156. PMID: 36992712 DOI: 10.1002/hsr2.1156
Ghaddaripouri K, Baigi SF, Noori N, Mazaheri Habibi MR. Investigating the effect of virtual reality on reducing the anxiety in children: A systematic review. Frontiers in Health Informatics. 2022; 11: 114.
DOI: https://doi.org/10.30699/fhi.v12i0.511
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