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3.
Front Pharmacol ; 13: 989362, 2022.
Article in English | MEDLINE | ID: mdl-36686678

ABSTRACT

Objectives: Medication non-adherence in patients with chronic obstructive pulmonary disease is common. The aim is to evaluate the efficacy of two interventions to improve the inhalation technique (IT) in patients with pulmonary disease is common. Also determine optimal IT reminder time and to test the role of preferences in the intervention selection. Method: 726 pulmonary disease in common patients (consecutive sampling) from two trials: 1) TECEPOC-study (patients' preference trial/comprehensive cohort design) 2) TIEPOC-study (randomised controlled trial). Interventions: intervention-A (ad-hoc leaflet with instructions about correct IT according Spanish Respiratory Society), intervention B (intervention A+ individual training by instructors). Four visits were performed (baseline, 3, 6 and 12 months). Data on IT, sociodemographic and clinical characteristics, quality of life and respiratory drugs were recorded. Analysis under intention to treat principle. Multivariate analysis was conducted to measure the potential modifying factors of improvement in the IT along follow-up. Results: 660 patients (90.9%) did not perform a correct IT at baseline 89.75% with Handihaler, 86.95% with Turbuhaler, 84.75% with Accuhaler and 87.35% with pMDI. At 12 months, 221 patients 29.9% performed correctly the IT; a decrease in the slope of the curve (correct IT) was detected at 3 months follow-up. Intervention B was the most effective in both trials compared to control group or intervention A, regardless of preferences: 1) TECEPOC Study (preference trial): Intervention B versus control group, NNT = 3.22 (IC95%, 2.27-5.52); and versus Intervention A, NNT = 3.57 (CI95%, 2.41-6.8). Preferences improved 6.7% in the correct IT without statistical significance. 2) TIEPOC Study (randomized controlled trial): Intervention B versus control group, NNT = 1.74 (IC95%, 1.47-2.17), and versus intervention A, NNT = 3.33 (CI 95%, 2.43-5.55). No differences were measured between Intervention A and control group. Conclusion: Individual training significantly improves IT. Reminders every 3 months are recommended. Preferences do not influence the intervention effectiveness.

6.
Rev. calid. asist ; 26(2): 123-131, mar.-abr. 2011. tab
Article in Spanish | IBECS | ID: ibc-87987

ABSTRACT

Objetivo. Revisar y desarrollar una propuesta de clasificación de tecnologías sanitarias (TS) evaluadas por las Agencias de Evaluación de Tecnologías Sanitarias (AETS). Métodos. Revisión por expertos de AETS de una propuesta de clasificación de TS. Análisis de sus aportaciones y sugerencias de modificación. Reelaboración de la propuesta de clasificación. Pilotaje con médicos. El emplazamiento fue el Sistema Sanitario Público Andaluz (SSPA) y las AETS españolas. Los participantes eran expertos de AETS y médicos tutores de MIR (médicos internos residentes). La metodología consistió en la actualización de la clasificación de TS previamente realizada por el equipo de investigación, la revisión por expertos de las AETS españolas, el análisis cualitativo y cuantitativo de respuestas y la reelaboración de la clasificación y pilotaje con médicos asistenciales sobre 12 informes de evaluación de las AETS. Resultados. Se obtuvieron 11 categorías temáticas que se clasifican en 6 grandes grupos matrices en función de su finalidad: 1, tecnologías preventivas; 2, tecnologías diagnósticas; 3, tecnologías terapéuticas; 4, tecnologías diagnósticas y terapéuticas; 5, tecnologías organizativas, y 6, gestión del conocimiento y calidad. En el pilotaje se observó la coincidencia en la clasificación de 8 de los 12 informes revisados por los médicos. Conclusiones. En el presente estudio se han consensuado 11 categorías temáticas de TS y se ha propuesto una nueva clasificación de TS con doble entrada, según tipo de TS considerada y según finalidad de la misma. En opinión de los expertos participantes, la clasificación de la labor de las AETS puede representar una herramienta útil para la gestión del conocimiento y la transferibilidad de la labor realizada. Además, una adecuada vehiculización de dicha labor facilitaría su acceso a los usuarios, potenciando así su difusión(AU)


Aims. Review and develop a proposal for the classification of health technologies (HT) evaluated by the Health Technology Assessment Agencies (HTAA). Design. Peer review of AETS of the previous proposed classification of HT. Analysis of their input and suggestions for amendments. Construction of a new classification. Pilot study with physicians. Setting. Andalusian Public Health System. Spanish HTAA. Participants. Experts from HTAA. Tutors of family medicine residents. Method. HT Update classification previously made by the research team. Peer review by Spanish HTAA. Qualitative and quantitative analysis of responses. Construction of a new and pilot study based on 12 evaluation reports of the HTAA. Results. We obtained 11 thematic categories that are classified into 6 major head groups: 1, prevention technology; 2, diagnostic technology; 3, therapeutic technologies; 4, diagnostic and therapeutic technologies; 5, organizational technology, and 6, knowledge management and quality of care. In the pilot there was a good concordance in the classification of 8 of the 12 reports reviewed by physicians. Conclusions. Experts agree on 11 thematic categories of HT. A new classification of HT with double entry (Nature and purpose of HT) is proposed. Applicability. According to experts, the classification of the work of the HTAA may represent a useful tool to transfer and manage knowledge. Moreover, an adequate classification of the HTAA reports would help clinicians and other potential users to locate them and this can facilitate their dissemination(AU)


Subject(s)
Humans , Male , Female , Technology Assessment, Biomedical/classification , Technology Assessment, Biomedical/standards , Technology Assessment, Biomedical , Technological Development/analysis , Technological Development/methods , Information Technologies and Communication Projects , Health Services/statistics & numerical data , Health Services , Research/organization & administration , Technology Assessment, Biomedical/economics , Technology Assessment, Biomedical/trends , Technological Development/economics , Technological Development/policies , Health Services Administration/trends , Health Services Administration , Research/methods , Research/trends
7.
Rev Calid Asist ; 26(2): 123-31, 2011.
Article in Spanish | MEDLINE | ID: mdl-21324722

ABSTRACT

AIMS: Review and develop a proposal for the classification of health technologies (HT) evaluated by the Health Technology Assessment Agencies (HTAA). DESIGN: Peer review of AETS of the previous proposed classification of HT. Analysis of their input and suggestions for amendments. Construction of a new classification. Pilot study with physicians. SETTING: Andalusian Public Health System. Spanish HTAA. PARTICIPANTS: Experts from HTAA. Tutors of family medicine residents. METHOD: HT Update classification previously made by the research team. Peer review by Spanish HTAA. Qualitative and quantitative analysis of responses. Construction of a new and pilot study based on 12 evaluation reports of the HTAA. RESULTS: We obtained 11 thematic categories that are classified into 6 major head groups: 1, prevention technology; 2, diagnostic technology; 3, therapeutic technologies; 4, diagnostic and therapeutic technologies; 5, organizational technology, and 6, knowledge management and quality of care. In the pilot there was a good concordance in the classification of 8 of the 12 reports reviewed by physicians. CONCLUSIONS: Experts agree on 11 thematic categories of HT. A new classification of HT with double entry (Nature and purpose of HT) is proposed. APPLICABILITY: According to experts, the classification of the work of the HTAA may represent a useful tool to transfer and manage knowledge. Moreover, an adequate classification of the HTAA reports would help clinicians and other potential users to locate them and this can facilitate their dissemination.


Subject(s)
Biomedical Technology/classification , Technology Assessment, Biomedical , Biomedical Technology/methods , Biomedical Technology/trends , Diagnosis , Health Services Administration , Knowledge Management , Medical Informatics , Pilot Projects , Preventive Medicine , Quality Control , Spain , Technology Assessment, Biomedical/organization & administration , Therapeutics
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