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Gorostiza A, Arrospide A, Larrañaga I, Barandiarán A, Ruiz de Austri A, Ibarrondo O, Mar J. Dynamic evaluation of the comparative effectiveness of an integrated program for heart failure care. J Eval Clin Pract 2021; 27:134-142. [PMID: 32367623 DOI: 10.1111/jep.13402] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2019] [Revised: 03/25/2020] [Accepted: 03/31/2020] [Indexed: 11/30/2022]
Abstract
RATIONALE, AIMS AND OBJECTIVES An integrated care program for heart failure (HF) was developed in the Basque Country in 2013. The objective of this research was to evaluate its effectiveness through the number of hospital admissions in three integrated healthcare organizations (IHOs), taking into account the longitudinal nature of the disease and the intensity of the implementation. METHODS A retrospective observational study was carried out, based on data entered in administrative and clinical databases between 2014 and 2018 for a total population of 230 000. In addition to conventional statistical analyses, Andersen-Gill models for recurrent events were used, incorporating dynamic variables that allowed assessment of the intervention's intensity before each hospitalization. RESULTS A total of 6768 patients were analysed. Age (hazard ratio [HR] = 1.016; 95% confidence interval [CI] 1.011-1.022), the Charlson index (HR = 1.067, 95% CI 1.047-1.087), and the number of previous hospitalizations (HR = 1.632, 95% CI 1.557-1.712) were risk factors for readmission. Differences between IHOs were also statistically significant. Greater intervention intensity was associated with a lower hospitalization rate (HR = 0.995, 95% CI 0.990-1.000). As indicated by the interaction between intervention intensity and IHO, differences between IHOs disappeared when intensity rose. No inequities in hospitalization were found as a function of deprivation index or sex. Nonetheless, inequity in the implementation of the program by sex was clear, women with HF receiving less intense intervention than men with the same level of comorbidity and age. CONCLUSIONS The extent of program implementation measured by intervention intensity is a main driver of the effectiveness of an educational and monitoring program for HF. The evaluation of HF program effectiveness on readmissions must take into account the entire natural history of the disease. Implementation intensity explains differences between IHOs.
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Affiliation(s)
- Ania Gorostiza
- Alto Deba Integrated Health Care Organization, AP-OSIs Gipuzkoa Research Unit, Arrasate-Mondragón, Spain.,Biodonostia Health Research Institute, Public Health Area, Donostia-SanSebastián, Spain
| | - Arantzazu Arrospide
- Alto Deba Integrated Health Care Organization, AP-OSIs Gipuzkoa Research Unit, Arrasate-Mondragón, Spain.,Biodonostia Health Research Institute, Public Health Area, Donostia-SanSebastián, Spain.,Health Services Research on Chronic Patients Network (REDISSEC), Public Health Area, Bilbao, Spain
| | - Igor Larrañaga
- Alto Deba Integrated Health Care Organization, AP-OSIs Gipuzkoa Research Unit, Arrasate-Mondragón, Spain.,Health Services Research on Chronic Patients Network (REDISSEC), Public Health Area, Bilbao, Spain
| | - Aitziber Barandiarán
- Goierri-Alto Urola Integrated Health Care Organization, Health Management Unit, Zumarraga, Gipuzkoa, Spain
| | - Adolfo Ruiz de Austri
- Alto Deba Integrated Health Care Organization, Arrasate-Mondragón Primary Care Unit, Arrasate-Mondragón, Gipuzkoa, Spain
| | - Oliver Ibarrondo
- Alto Deba Integrated Health Care Organization, AP-OSIs Gipuzkoa Research Unit, Arrasate-Mondragón, Spain.,Biodonostia Health Research Institute, Public Health Area, Donostia-SanSebastián, Spain
| | - Javier Mar
- Alto Deba Integrated Health Care Organization, AP-OSIs Gipuzkoa Research Unit, Arrasate-Mondragón, Spain.,Biodonostia Health Research Institute, Public Health Area, Donostia-SanSebastián, Spain.,Health Services Research on Chronic Patients Network (REDISSEC), Public Health Area, Bilbao, Spain
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Chi-Lun-Chiao A, Chehata M, Broeker K, Gates B, Ledbetter L, Cook C, Ahern M, Rhon DI, Garcia AN. Patients' perceptions with musculoskeletal disorders regarding their experience with healthcare providers and health services: an overview of reviews. Arch Physiother 2020; 10:17. [PMID: 32983572 PMCID: PMC7517681 DOI: 10.1186/s40945-020-00088-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Accepted: 09/15/2020] [Indexed: 12/21/2022] Open
Abstract
Objectives This overview of reviews aimed to identify (1) aspects of the patient experience when seeking care for musculoskeletal disorders from healthcare providers and the healthcare system, and (2) which mechanisms are used to measure aspects of the patient experience. Data sources Four databases were searched from inception to December 20th, 2019. Review methods Systematic or scoping reviews examining patient experience in seeking care for musculoskeletal from healthcare providers and the healthcare system were included. Independent authors screened and selected studies, extracted data, and assessed the methodological quality of the reviews. Patient experience concepts were compiled into five themes from a perspective of a) relational and b) functional aspects. A list of mechanisms used to capture the patient experience was also collected. Results Thirty reviews were included (18 systematic and 12 scoping reviews). Relational aspects were reported in 29 reviews and functional aspects in 25 reviews. For relational aspects, the most prevalent themes were “information needs” (education and explanation on diseases, symptoms, and self-management strategies) and “understanding patient expectations” (respect and empathy). For functional aspects, the most prevalent themes were patient’s “physical and environmental needs,” (cleanliness, safety, and accessibility of clinics), and “trusted expertise,” (healthcare providers’ competence and clinical skills to provide holistic care). Interviews were the most frequent mechanism identified to collect patient experience. Conclusions Measuring patient experience provides direct insights about the patient’s perspectives and may help to promote better patient-centered health services and increase the quality of care. Areas of improvement identified were interpersonal skills of healthcare providers and logistics of health delivery, which may lead to a more desirable patient-perceived experience and thus better overall healthcare outcomes. Trial registration Systematic review registration: PROSPERO (CRD42019136500).
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Affiliation(s)
- Alan Chi-Lun-Chiao
- Duke Department of Orthopedic Surgery, Duke University Division of Physical Therapy, Durham, North Carolina USA
| | - Mohammed Chehata
- Duke Department of Orthopedic Surgery, Duke University Division of Physical Therapy, Durham, North Carolina USA
| | - Kenneth Broeker
- Duke Department of Orthopedic Surgery, Duke University Division of Physical Therapy, Durham, North Carolina USA
| | - Brendan Gates
- Duke Department of Orthopedic Surgery, Duke University Division of Physical Therapy, Durham, North Carolina USA
| | - Leila Ledbetter
- Duke University Medical Center Library, Durham, North Carolina USA
| | - Chad Cook
- Duke Department of Orthopedic Surgery, Duke University Division of Physical Therapy, Duke Clinical Research Institute, Durham, North Carolina USA
| | - Malene Ahern
- University of Wollongong, Australian Health Services Research Institute, Sydney, New South Wales Australia
| | - Daniel I Rhon
- Center for the Intrepid, Brooke Army Medical Center, San Antonio, TX USA
| | - Alessandra N Garcia
- College of Pharmacy & Health Sciences, Physical Therapy Program, Lillington, North Carolina USA
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Larrañaga I, Stafylas P, Fullaondo A, Apuzzo GM, Mar J. Economic Evaluation of an Integrated Health and Social Care Program for Heart Failure Through 2 Different Modeling Techniques. Health Serv Res Manag Epidemiol 2018; 5:2333392818795795. [PMID: 30547054 PMCID: PMC6287322 DOI: 10.1177/2333392818795795] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2018] [Accepted: 07/27/2018] [Indexed: 01/07/2023] Open
Abstract
Introduction An integrated health and social care program for patients with heart failure (HF) was implemented at the Friuli-Venezia Giulia deployment site as part of the SmartCare European project. The objective of this study was to validate 2 different decision modeling techniques used to perform the economic evaluation. Methods Data were collected during the SmartCare project which enrolled 108 patients with HF and followed for more than 6 months. The techniques used were Markov and discrete event simulation models. In both cases, a cost-effectiveness analysis and a budget impact analysis were carried out. The former was used to assign priority to the intervention and the latter to assess its sustainability. Analyses were conducted from the perspective of the Regional Health Authority. Results Results were similar with both types of model. Cost-effectiveness analysis found no significant differences in quality of life, but the intervention generated significant cost savings, becoming the dominant option. Data extrapolation showed no benefits in terms of mortality or hospital admissions, but budget impact analysis also predicted annual savings, as a significant number of in-hospital days were avoided. In budget analysis, both models predicted early, increasing and cumulative annual savings. Discussion The integrated program was dominant as it provided better outcomes and lower total costs, and thus, decision-makers should prioritize it. Besides, the work demonstrates the capacity of decision modeling to become a complementary tool in managing integrated health and social care models.
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Affiliation(s)
- Igor Larrañaga
- AP-OSI Research Unit, Alto Deba Integrated Healthcare Organisation, Mondragón, Spain.,Biodonostia Health Research Institute, San Sebastian, Spain.,Kronikgune, Baracaldo, Spain
| | - Panos Stafylas
- Health Information Management SL, Barcelona, Spain.,HealThink-Medical Research & Innovation LP, Thessaloniki, Greece
| | | | | | - Javier Mar
- AP-OSI Research Unit, Alto Deba Integrated Healthcare Organisation, Mondragón, Spain.,Biodonostia Health Research Institute, San Sebastian, Spain.,Health Services Research on Chronic Patients Network (REDISSEC), Bilbao, Spain
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Larrañaga I, Millas J, Soto-Gordoa M, Arrospide A, San Vicente R, Irizar M, Lanzeta I, Mar J. [The impact of patient identification on an integrated program of palliative care in Basque Country]. Aten Primaria 2017; 51:80-90. [PMID: 29221947 PMCID: PMC6836896 DOI: 10.1016/j.aprim.2017.05.017] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2017] [Revised: 05/05/2017] [Accepted: 05/14/2017] [Indexed: 11/30/2022] Open
Abstract
Objetivo Evaluar el proceso y el impacto económico de un programa integrado de cuidados paliativos. Diseño Estudio transversal comparativo. Emplazamiento Organizaciones Sanitarias Integradas Alto Deba y Goierri Alto-Urola, País Vasco. Participantes Pacientes fallecidos (oncológicos y no oncológicos) en 2012 (grupo control) y 2015 (grupo intervención) susceptibles de necesitar cuidados paliativos según la estimación mínima de McNamara. Intervenciones Identificación de pacientes con el código de cuidados paliativos en atención primaria, uso de rutas asistenciales conjuntas en atención primaria y hospitalaria e impartición de cursos formativos. Mediciones principales Cambio en el perfil de uso de recursos del paciente durante sus últimos 3 meses de vida. Se utilizó el genetic matching para evitar sesgos. Mediante análisis univariante se compararon los grupos y mediante regresiones logísticas y modelos lineales generalizados se analizaron las relaciones entre variables. Resultados Se identificaron 1.023 pacientes en 2012 y 1.142 en 2015. En 2015 aumentó al doble la probabilidad de ser identificado como paliativo en pacientes oncológicos (19-33%) y no oncológicos (7-16%). La prescripción de opiáceos subió (25-68%) y el fallecimiento en hospital se mantuvo estable. Los contactos por paciente con atención primaria y hospitalización a domicilio aumentaron, mientras que las hospitalizaciones tradicionales disminuyeron. El coste por paciente aumentó un 26%. Conclusiones El modelo integrado incrementó la identificación de la población diana. La relación entre variables mostró que la identificación repercutió positivamente en la prescripción de opiáceos, fallecimiento fuera del hospital y extensión a enfermedades no oncológicas. Aunque también disminuyeron los ingresos, el coste aumentó debido al uso de hospitalización a domicilio.
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Affiliation(s)
- Igor Larrañaga
- Unidad de Investigación AP-OSI, OSI Alto Deba, Arrasate-Mondragón, Guipúzcoa, España.
| | - Jesús Millas
- Unidad de Integración Asistencial, OSI Alto Deba, Arrasate-Mondragón, Guipúzcoa, España
| | - Myriam Soto-Gordoa
- Unidad de Investigación AP-OSI, OSI Alto Deba, Arrasate-Mondragón, Guipúzcoa, España; Red de Investigación en Servicios de Salud en Enfermedades Crónicas (REDISSEC), Bilbao, Vizcaya, España; Instituto Biodonostia, Donostia-San Sebastián, Guipúzcoa, España
| | - Arantzazu Arrospide
- Unidad de Investigación AP-OSI, OSI Alto Deba, Arrasate-Mondragón, Guipúzcoa, España; Red de Investigación en Servicios de Salud en Enfermedades Crónicas (REDISSEC), Bilbao, Vizcaya, España; Instituto Biodonostia, Donostia-San Sebastián, Guipúzcoa, España
| | - Ricardo San Vicente
- Centro de Salud de Zumarraga, OSI Goierri-Alto Urola, Zumarraga, Guipúzcoa, España
| | - Marisa Irizar
- Centro de Salud de Idiazabal, OSI Goierri-Alto Urola, Idiazabal, Guipúzcoa, España
| | - Itziar Lanzeta
- Servicio de Medicina Preventiva, OSI Goierri-Alto Urola, Zumarraga, Guipúzcoa, España
| | - Javier Mar
- Unidad de Investigación AP-OSI, OSI Alto Deba, Arrasate-Mondragón, Guipúzcoa, España; Red de Investigación en Servicios de Salud en Enfermedades Crónicas (REDISSEC), Bilbao, Vizcaya, España; Instituto Biodonostia, Donostia-San Sebastián, Guipúzcoa, España
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