5 datasets found
  1. d

    Psychological Therapies, Annual Reports on the use of IAPT services

    • digital.nhs.uk
    Updated Nov 25, 2021
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    (2021). Psychological Therapies, Annual Reports on the use of IAPT services [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/psychological-therapies-annual-reports-on-the-use-of-iapt-services
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    Dataset updated
    Nov 25, 2021
    License

    https://digital.nhs.uk/about-nhs-digital/terms-and-conditionshttps://digital.nhs.uk/about-nhs-digital/terms-and-conditions

    Time period covered
    Apr 1, 2020 - Mar 31, 2021
    Description

    This statistical release is the annual report on the Improving Access to Psychological Therapies (IAPT) programme from 1st April 2020 to 31st March 2021. IAPT is run by the NHS in England and offers NICE-approved therapies for treating people with anxiety or depression. The publication contains analyses on activity, waiting times and outcomes such as recovery in 2020-21. In addition, the report covers a range of demographic analyses including outcomes for patients of different ages, ethnic group and separately for ex-British Armed Forces personnel. This is the first annual publication of psychological therapies data since the transition into IAPT dataset version 2.0. This was a significant change to the structure of the underlying data. For further details about how this has impacted these analyses, see the Data Quality Statement page of this report, and also the Methodological Change Note available from https://digital.nhs.uk/iaptreports. NOTE: On 17 November 2022, the main csv, therapy role csv and therapy type csv were mainly updated to include some missing breakdowns and apply some further suppression where needed. Due to the move from v1.5 to v2.0 of the dataset part way through the year, the amended main csv file now also includes some v2.0 data that was previously missing for one measure (CountTherapyEndTreatment_EmploymentSupport). These changes do not affect any of the national estimates previously published.

  2. f

    Data from: Scenario of access to speech therapy based on the profile of...

    • datasetcatalog.nlm.nih.gov
    • scielo.figshare.com
    Updated Sep 17, 2022
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    Fernandes, Ana Cláudia; Vianna, Nubia; Tavoni, Júlia Roja (2022). Scenario of access to speech therapy based on the profile of children and adolescents referred to primary care [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000305852
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    Dataset updated
    Sep 17, 2022
    Authors
    Fernandes, Ana Cláudia; Vianna, Nubia; Tavoni, Júlia Roja
    Description

    ABSTRACT Purpose: to analyze the profile and access of patients who need speech-language pathology care in a Primary Health Unit (UBS). Methods: a descriptive analytical study, including data obtained from a spreadsheet with information provided by patients from May 2013 to February 2020. The following variables were analyzed: gender, age at referral, speech-language pathology complaint, year of referral, year of the first visit and service, and professional responsible for the health referral, speech therapy conduct after first visit, and outcome after therapy. Categorical variables were analyzed by means of frequency and numeric variables by measures of central tendency and dispersion. For inferential statistical analysis, the Mann-Whitney test was used, considering 5% as the significance level. Results: in total, 171 individuals were referred, most were males, aged 4 to 6 years, with language complaints; 73.66% were referred by professionals from the UBS, mainly by pediatricians. After the speech-language pathology assessment, 27.49% were referred to the specialty. Among the 78 individuals who started speech-language therapy at the UBS, 24.36% were discharged and 32.05% were dismissed, due to absences. A statistically significant correlation was observed when analyzing data of waiting time and non-attendance at the first speech therapy visit. Conclusion: as it addresses a large part of the demands in Primary Care, speech-language pathology helps to increase solubility at this level of the health system. Lack of compliance is considered a barrier in service organization and in promoting access to other patients.

  3. Data from: Crowdsourced ratings of dysarthria treatment (Nightingale et al.,...

    • rangahau.twoa.ac.nz
    • asha.figshare.com
    Updated Apr 21, 2020
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    Christopher Nightingale; Michelle Swartz; Lorraine Olson Ramig; Tara McAllister (2020). Crowdsourced ratings of dysarthria treatment (Nightingale et al., 2020) [Dataset]. https://rangahau.twoa.ac.nz/esploro/outputs/dataset/Crowdsourced-ratings-of-dysarthria-treatment-Nightingale/99609194704331
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    Dataset updated
    Apr 21, 2020
    Dataset provided by
    American Speech–Language–Hearing Associationhttps://www.asha.org/
    Authors
    Christopher Nightingale; Michelle Swartz; Lorraine Olson Ramig; Tara McAllister
    Time period covered
    Apr 21, 2020
    Description

    Purpose: Interventions for speech disorders aim to produce changes that are not only acoustically measurable or perceptible to trained professionals but are also apparent to naive listeners. Due to challenges associated with obtaining ratings from suitably large listener samples, however, few studies currently evaluate speech interventions by this criterion. Online crowdsourcing technologies could enhance the measurement of intervention effects by making it easier to obtain real-world listeners’ ratings.Method: Stimuli, drawn from a published study by Sapir et al. (“Effects of intensive voice treatment (Lee Silverman Voice Treatment [LSVT]) on vowel articulation in dysarthric individuals with idiopathic Parkinson disease: Acoustic and perceptual findings” in Journal of Speech, Language, and Hearing Research, 50(4), 2007), were words produced by individuals who received intensive treatment (LSVT LOUD) for hypokinetic dysarthria secondary to Parkinson’s disease. Thirty-six online naive listeners heard randomly ordered pairs of words elicited pre- and posttreatment and reported which they perceived as “more clearly articulated.”Results: Mixed-effects logistic regression indicated that words elicited posttreatment were significantly more likely to be rated “more clear.” Across individuals, acoustically measured magnitude of change was significantly correlated with pre–post difference in listener ratings. Conclusions: These results partly replicate the findings of Sapir et al. (2007) and demonstrate that their acoustically measured changes are detectable by everyday listeners. This supports the viability of using crowdsourcing to obtain more functionally relevant measures of change in clinical speech samples.Supplemental Material S1. Token-level measurements of F1 and F2, as well as subject-level measurements of F2i/F2u ratio, both before and after treatment. Contains no identifiers.Supplemental Material S2. Results of perceptual ratings obtained from AMT listeners. Contains no identifiers.Supplemental Material S3. The analyses and results reported in this study can be reproduced by following the below steps: (1) Place this .Rmd file and the above-listed data files in the same directory; (2) Open the .Rmd file using RStudio; (3) Set the Working Directory to the directory in (1) above; (4) Use the “Knit” command to generate an output document.Nightingale, C., Swartz, M., Ramig, L. O., & McAllister, T. (2020). Using crowdsourced listeners’ ratings to measure speech changes in hypokinetic dysarthria: A proof-of-concept study. American Journal of Speech-Language Pathology. Advance online publication. https://doi.org/10.1044/2019_AJSLP-19-00162

  4. d

    Psychological Therapies, Reports on the use of IAPT services

    • digital.nhs.uk
    Updated Oct 1, 2020
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    (2020). Psychological Therapies, Reports on the use of IAPT services [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/psychological-therapies-report-on-the-use-of-iapt-services
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    Dataset updated
    Oct 1, 2020
    License

    https://digital.nhs.uk/about-nhs-digital/terms-and-conditionshttps://digital.nhs.uk/about-nhs-digital/terms-and-conditions

    Time period covered
    Oct 1, 2020 - Oct 31, 2020
    Description

    This statistical release makes available the most recent Improving Access to Psychological Therapies (IAPT) monthly data, including activity, waiting times, and outcomes such as recovery. This is the first release of data from version 2.0 of the IAPT dataset. We have summarised the changes from previous IAPT reports in the Methodological Change Notice which can be found in the related links at the bottom of this page. IAPT is run by the NHS in England and offers NICE-approved therapies for treating people with depression or anxiety. This release also includes experimental statistics from the IAPT Employment Adviser pilot. COVID-19 and the production of statistics Due to the coronavirus illness (COVID-19) disruption, it would seem that this is now starting to affect the quality and coverage of some of our statistics, such as an increase in non-submissions for some datasets, including IAPT. We are also starting to see some different patterns in the submitted data. For IAPT, whilst the number of submitters remains unchanged, there is a significant change in the rates for recovery and improvement for this month compared to the last 12 months. Therefore, data should be interpreted with care over the COVID-19 period. For the duration of the COVID-19 period, we are now doing some early reporting to help with monitoring of any impact using provisional IAPT data. A link to this is available in the Related links below. We hope this information is helpful and would be grateful if you could spare a couple of minutes to complete a short customer satisfaction survey. Please use the survey in the related links to provide us with any feedback or suggestions for improving the report.

  5. d

    MainLife – Entwicklung der Lebensgeschichte (quantitativer Teil) MainLife –...

    • demo-b2find.dkrz.de
    Updated May 18, 2023
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    (2023). MainLife – Entwicklung der Lebensgeschichte (quantitativer Teil) MainLife – Life Story Development (quantitative Part) - Dataset - B2FIND [Dataset]. http://demo-b2find.dkrz.de/dataset/549b8049-7a2e-5308-900b-66937736c893
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    Dataset updated
    May 18, 2023
    Description

    Die Studie MainLife – Entwicklung der Lebensgeschichte (quantitativer Teil) wurde von der Goethe-Universität Frankfurt am Main durchgeführt. Im Erhebungszeitraum November 2002 bis Mai 2020 wurden in insgesamt fünf Wellen (I-V) Personen in verschiedenen Alterskohorten in persönlichen Interviews zu ihrer Lebensgeschichte, ihren Motiven und zum Wohlbefinden befragt. Die erste Welle diente der Untersuchung der Entwicklung der Fähigkeit, kohärente Lebensgeschichten zu konstruieren und zu erzählen. In Welle II wurden die neue Alterskohorten hinzugefügt. Welle III diente der Untersuchung der Längsschnittentwicklung der Lebensgeschichte, Welle IV der Untersuchung von Lebensgeschichte und Motiven und Welle V der Untersuchung von Lebensgeschichte und Wohlbefinden. Der bei GESIS hinterlegte Datensatz enthält quantitative Daten auf der Grundlage von Fragebögen und, in einer späteren Folgeveröffentlichung, auch Codierungen und Bewertungen auf der Grundlage der Erzählungen. Er umfasst fast alle Teilnehmer. Der bei Qualiservice hinterlegte Datensatz (qualitative Daten) enthält die sieben wichtigsten Erinnerungen mit Datumsangaben, Lebenserzählungen, Dauer und Wortanzahl der Lebenserzählungen, zusätzliche Erzählungen aus Welle IV, Alter, Geschlecht, Migrationshintergrund (selbst oder ein Elternteil) und Höhe des höchsten erreichten Bildungsabschlusses. Entwicklung der Lebensgeschichte: MainLife Fragebögen Biographisch:Veränderung der persönlichen Lebensumstände; Veränderung der Persönlichkeit; Gefühl der Selbstdiskontinuität; Zufriedenheit mit der persönlichen Entwicklung; Versuche, Persönlichkeit und Leben zu verändern;Biographisches Wissen: Altersnormen (negative Werte) - mittlere Abweichung in Jahren; biografische Salienz (negative Werte) - Prozentsatz der falschen Entscheidungen; Selbstkontinuität (Sedikidis);Funktionen des autobiografischen Erinnerns (Skala ´Denken über Lebenserfahrungen´ (TALE-revidiert): Häufigkeit des Denkens und Sprechens über die persönliche Vergangenheit, Häufigkeit der direktiven Verwendung, Häufigkeit der Verwendung der Selbstkontinuität und Häufigkeit der sozialen Verwendung; Häufigkeit biografischer Praktiken (z.B. Gedichte schreiben, Tagebuch schreiben, Aufsätze schreiben, zeichnen, alte Briefe lesen, alte Fotos ansehen, Biografien lesen, Gespräche mit Freund, Freundin, Vater, Mutter, Partner, Kind); ab Welle IV wurden Items zum Internet hinzugefügt (Homepage / Internetprofil, Bilder, Wohlbefinden, soziale Interaktion); Vertrauen zu Vater, Mutter, männlichem und weiblichem Freund (ab Welle III auch Partner): Selbstauskunft gegenüber Mutter, Vater, Freund, Freundin; Häufigkeit von fünf biographischen Praktiken und Internet-Items. IQ + Persönlichkeit:Flüssige und kristalline Intelligenz: In den ersten drei Wellen wurden die WAISC-Subtests Wortschatz und Zahlensymboltests als Maße für das kristalline und fluide Gedächtnis verwendet. (WAISC / HAWIE-Wortschatz, WAISC / HAWIE-Zahlensymboltest); NEO Short Form, Big-Five-Persönlichkeitsdimensionen (Gewissenhaftigkeit, Extraversion, Offenheit für Erfahrungen, Neurotizismus, Verträglichkeit); Identitätsstatus - Utrecht Management of Identity Commitments Scale (UMICS): bester Freund in der Vertiefung, bester Freund in der Überarbeitung der Verpflichtung; Ausbildung oder Beruf in der Vertiefung; Ausbildung oder Beruf in der Überarbeitung der Verpflichtung;Selbstklarheit; Loyola Generativitätsskala; Emotionsregulation (ERQ Emotion regulation Questionnaire (Gross): Aufarbeitung, Unterdrückung; dispositionelle Resilienz (RS-13); Selbstwirksamkeit; Webster balanced Time Perspective Scale (Zukunft und Vergangenheit). Symptome:Brief Symptom Inventory (Derogatis); Depressionen bei Kindern und Jugendlichen: Depressions Inventar für Kinder und Jugendliche (DIKJ); Welle II: nur Kohorten 1-2; Beck Depression Inventory II (BDI); Welle: II: nur Kohorten 3-6; Trait Depression und Angst (State-Trait Anxiety-Depression Inventory (STADI);Fragebogen zum Reaktionsstil, Unterskalen Rumination und Selbstreflexion;Fragebogen zum perspektivischen Denken (PTQ); Unterskala Reflexion des Grübelns - Reflexionsfragebogen Campbell. Wohlbefinden:Ryff-Skalen zum Wohlbefinden; Selbstakzeptanz, positive Beziehungen, Autonomie, Beherrschung der Umwelt, Lebensziele, persönliches Wachstum; Lebenszufriedenheit - Satisfaction with Life Scales (SWLS): Wohlbefinden gegenwärtig, zukünftig und in der Vergangenheit; Well-being (Berner Fragebogen zum Wohlbefinden; nur Kohorten 1-4; Skala der positiven und negativen Affektivität (SPANE). Demographie: Geschlecht; Alter zu jedem Erhebungszeitpunkt (Welle I bis Welle 5); Zusätzlich kodiert wurden: Befragten-ID; Treatment-Gruppe; Informationen zur Lebenserzählung zu jedem Erhebungszeitpunkt: Anzahl der Lebenserzählungen, Dauer in Minuten; Anzahl der Wörter; Anzahl der Propositionen; Anzahl der thematischen Segmente; Informationen zu Einzelereigniserzählungen (nur Welle 5): Dauer in Minuten und Anzahl der Wörter: wertbildende Erfahrung, persönlichkeitsbildende Erfahrung, intergenerationale Erzählung Mutter, intergenerationale Erzählung Vater; Anzahl der Propositionen; Intelligenz (Wechsler): Kodierung mit Zahlensymbolen: Rohwert, transformierte Wertepunkte; Wortschatz: Rohwert, transformierte Wertepunkte; Brief Symptom Inventory (BSI): Positivsymptom-Gesamtindex; globaler Schweregradindex; Positivsymptom-Belastungsindex; biographische Praktiken: Einzelitems für biographische Praktiken, Einzelitems für Vertrauen in andere; Korrektur von Ausreißern. The study MainLife - Development of Life History (quantitative part) was conducted by the Goethe University Frankfurt am Main. During the survey period from November 2002 to May 2020, individuals in different age cohorts were interviewed in a total of five waves (I-V) about their life stories, motives, and well-being. The first wave was designed to examine the development of the ability to construct and tell coherent life stories. Wave II added the new age cohorts. Wave III was used to examine longitudinal life story development, Wave IV to examine life story and motives, and Wave V to examine life story and well-being. The dataset deposited at GESIS includes quantitative data based on questionnaires and, in a later follow-up publication, coding and ratings based on narratives. It includes almost all participants. The dataset deposited at Qualiservice (qualitative data) contains the seven most important recollections with dates, life narratives, duration and word count of life narratives, additional narratives from Wave IV, age, gender, migration background (self or one parent), and level of highest educational attainment. Life Story Development: MainLife Questionnaires Biographical:Change in personal life circumstances; change in personality; feeling of self-discontinuity; satisfaction with personal development; attempts to change personality and life; Biographical knowledge: Age norms (negative values) - mean deviation in years; biographical salience (negative values) – Percent of wrong choices; self continuity (Sedikidis); Functions of autobiographical remembering (Thinking about life experiences scale (TALE-revised): frequency of thinking and talking about personal past, frequency of directive uses, frequency of self-continuity uses and frequency of social uses; Frequencies of biographical practices (writing poems, writing diary, writing essays, drawing, reading old letters, looking at old photographs, reading biographies, conversations with boyfriend, girlfriend, father, mother, partner, child); starting with wave IV items regarding the internet were added (Homepage / Internet profile, pictures, well-being, social interaction); Confiding in father, mother, male and female friend (from wave III onward also partner): self-disclosure to mother, father, male friend, female friend; frequency of five biographical practices and internet items. IQ + Personality: Fluid and crystalline intelligence: In the first three waves, the WAISC-subtests vocabulary and number-symbol tests were used as measures for crystalline and fluid memory. (WAISC / HAWIE vocabulary, WAISC / HAWIE number symbol test) NEO Short Form, Big Five dimensions of personality (conscientiousness, extraversion, openness to experience, neuroticism, agreeableness); Identity status – Utrecht Management of Identity Commitments Scale (UMICS): best friend in depth exploration, best fried reconsideration of commitment; education or job in depth exploration; education or job reconsideration of commitment; Self clarity; Loyola Generativity scale; emotions regulation (ERQ Emotion regulation Questionnaire: reappraisal, suppression; dispositional resilience (RS-13); self-efficacy; Webster balanced Time Perspective Scale (future and past) Symptoms:Brief Symptom Inventory (Derogatis); Depression of children and adolecents: Depressions Inventar für Kinder und Jugendliche (DIKJ); Wave II: only cohorts 1-2; Beck Depression Inventory II (BDI); Wave: II: only cohorts 3-6; Trait depression and anxiety (State-Trait Anxiety-Depression Inventory (STADI);Response Style Questionnaire, subscales Rumination and self-reflection;Perseverative Thinking Questionnaire (PTQ); Subscale Reflection of Rumination-Reflection Questionnaire Well-being:Well-being Ryff scales; self-acceptance, positive relations, autonomy, environmental mastery, life goals, personal growth; Satisfaction with Life Scales (SWLS): well-being present, future and past; Well-being (Berner Fragebogen zum Wohlbefinden; only cohorts 1-4; Scale of Positive and Negative Affectivity (SPANE). Demography: sex; age at each survey time (Wave I to Wave 5); Additonally coded were: respondent ID; treatment group; information on life narrative at each survey time: number of life narrative, duration in minutes; number of words; number of propsitions; number of thematic segments; information on single event narrative (onlye Wave 5): duration

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(2021). Psychological Therapies, Annual Reports on the use of IAPT services [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/psychological-therapies-annual-reports-on-the-use-of-iapt-services

Psychological Therapies, Annual Reports on the use of IAPT services

Psychological Therapies, Annual report on the use of IAPT services, 2020-21

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204 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Nov 25, 2021
License

https://digital.nhs.uk/about-nhs-digital/terms-and-conditionshttps://digital.nhs.uk/about-nhs-digital/terms-and-conditions

Time period covered
Apr 1, 2020 - Mar 31, 2021
Description

This statistical release is the annual report on the Improving Access to Psychological Therapies (IAPT) programme from 1st April 2020 to 31st March 2021. IAPT is run by the NHS in England and offers NICE-approved therapies for treating people with anxiety or depression. The publication contains analyses on activity, waiting times and outcomes such as recovery in 2020-21. In addition, the report covers a range of demographic analyses including outcomes for patients of different ages, ethnic group and separately for ex-British Armed Forces personnel. This is the first annual publication of psychological therapies data since the transition into IAPT dataset version 2.0. This was a significant change to the structure of the underlying data. For further details about how this has impacted these analyses, see the Data Quality Statement page of this report, and also the Methodological Change Note available from https://digital.nhs.uk/iaptreports. NOTE: On 17 November 2022, the main csv, therapy role csv and therapy type csv were mainly updated to include some missing breakdowns and apply some further suppression where needed. Due to the move from v1.5 to v2.0 of the dataset part way through the year, the amended main csv file now also includes some v2.0 data that was previously missing for one measure (CountTherapyEndTreatment_EmploymentSupport). These changes do not affect any of the national estimates previously published.

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