Personalised care, access, quality and team coordination are the main dimensions of family medicine output

Badía, Joan Gené; Ascaso, Carlos; Escaramis-Babiano, Georgia; Sampietro-Colom, Laura; Catalán-Ramos, Arantxa; Sans-Corrales, Mireia; Pujol‐Ribera, Enriqueta

doi:10.1093/fampra/cml056

Cited by 21 publications

(21 citation statements)

References 20 publications

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“…Despite professional and patient focus groups identifying four dimensions of the PHC team service quality [11], further confirmatory analysis showed that the three dimensions model was the one that better fitted the structure of the data. A close relationship was found between the accessibility indicators and the professional-patient relationship indicators [12]. The model finally used for measuring the PHC service quality has the following three dimensions: (1) access to the services and professional-patient relationship; (2) coordination within the health-care team; (3) evidence-based practice.…”

Section: Introductionmentioning

confidence: 87%

“…The variables used to build those outputs of the family services (Table 1) were obtained from the following databases used routinely in the administration of the ICS in 2003: the team structural database, a user satisfaction questionnaire, a questionnaire assessing quality of professional life, and the drug prescription database. A detailed description of the methodology has already been published [12].…”

Section: Data Sourcesmentioning

confidence: 99%

“…Through qualitative and quantitative methods [11,12] a model has been constructed using routine information data employed in health service management. Despite professional and patient focus groups identifying four dimensions of the PHC team service quality [11], further confirmatory analysis showed that the three dimensions model was the one that better fitted the structure of the data.…”

Section: Introductionmentioning

confidence: 99%

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Population and primary health-care team characteristics explain the quality of the service

et al. 2008

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Section: Introductionmentioning

confidence: 87%

Section: Data Sourcesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Population and primary health-care team characteristics explain the quality of the service

et al. 2008

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“…En la toma de decisiones tanto en gestión y políticas de salud, en la practica asistencial y en investigación clínica, medir la satisfacción de los pacientes resulta esencial y necesario 21,22 .…”

Section: Discusiónunclassified

Validación De Un Instrumento Para Medir El Nivel De Satisfacción De Mujeres Embarazadas Durante El Parto

Rodríguez-Chávez¹,

Cruz-Vargas²,

Medina-Vilca³

et al. 2016

RFMH

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RESUMENObjetivos: Evaluar la validez y fiabilidad de un instrumento adaptado a partir de la escala SERVPERF para medir el nivel de satisfacción en gestantes durante el parto en una Institución de Salud en Lima, Perú. Métodos: Estudio transversal, descriptivo con componentes analíticos de validación del cuestionario SERVPERF adaptado para mujeres gestantes peruanas (GP) durante el parto. Se realizó una prueba piloto con posterior análisis de propiedades psicométricas de validez y fiabilidad mediante análisis factorial exploratorio de componentes principales y cálculo de alfa de Cronbach. Resultados: Se reporta una muestra de 345 mujeres, atendidas en la Clínica Good Hope, en el período de febrero a abril del año 2016. La prueba de adecuación de Kaiser-Meyer Olkin fue de 0.919 y la prueba de esfericidad de Barlett de 4008.9 (p<0.000). La varianza acumulada explicada por los 5 factores fue de 65.039%,. La fiabilidad mostró un alfa de Cronbach de 0.92. Se clasificaron 5 factores con 22 items, redefiniendose un factor como "calidad clinica". Conclusión: El instrumento adaptado y validado SERVPERF-GP posee suficientes propiedades psicométricas para ser considerado una herramienta útil y fiable para medir la satisfacción de gestantes durante su experiencia de parto en instituciones privadas de salud y con potencial aplicación a gestantes en los diversos sectores de salud del Perú.Palabras clave: Validación; Satisfacción; Parto; SERVPERF. (fuente: DeCS BIREME). ABSTRACTObjective: To evaluate the validity and reliability of an adapted instrument from SERPVPERF scale to measure the satisfaction level in pregnant women during childbirth in a Health institution in Lima, Perú. Methods: Cross sectional study, descriptive, with analytical components for SERVPERF questionnaire validation adapted for peruvian pregnant women during childbirth. A pilot test is been performed with subsequent analysis of psychometric properties of validation and reliability, through exploratory factorial analysis of main components and Cronbach's Alpha calculation. Results: It is reported a sample of 345 women treated at Good Hope Clinic between February and April in 2016. The Kaiser Meyer Olkin's adequacy test was 0.919 and the Barlett's sphericity test was 4008.9 (p<0.000). The cumulative variance explained for the 5 factors was 65.039%. The reliability showed Cronbach's Alpha 0.92. There were classified 05 factors with 22 items so a factor was redefined as "Clinical quality". Conclusions: This adapted and validated SERVPERF-GP instrument gathers sufficient psychometrical properties and should be considered as a reliable and useful measurement tool for pregnant women satisfaction during childbirth experience in Private Health Institutions and with potential application in different Health Sectors in Peru.

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“…38 This more expansive defi nition is consistent with a body of empiric studies, normative analysis, and commentary that defi nes the best medical care as addressing a broad range of patient concerns, valuing and respecting the patient's identity as a whole person. [39][40][41][42] As primary care clinicians have long recognized, physicians must be attentive to the patient's personal values and life circumstances if they want to provide the best care 43 ; optimally, the patient and physician develop a working alliance to choose medical care that best addresses the patient's health needs. 44 In this context, genetic information is an evolving tool that may sometimes assist clinical decision making.…”

Section: Personalized Medicinementioning

confidence: 99%

Personalized Medicine and Tobacco-Related Health Disparities: Is There a Role for Genetics?

Carlsten

Halperin²,

Crouch³

et al. 2011

The Annals of Family Medicine

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Genetic testing has been proposed as a means to increase smoking cessation rates and thus reduce smoking prevalence. To understand how that might be practically possible, with appreciation of the current social context of tobacco use and dependence, we performed a contextual analysis of smoking-related genetics and smoking cessation. To provide added value, genetics would need to inform and improve existing interventions for smokers (including behavioral and pharmacological treatments). Pharmacogenetics offers the most promising potential, because it may improve the effi cacy of medication-based smoking cessations strategies. All proven interventions for treating tobacco dependence, however, including simple cost-effective measures, such as quit lines and physician counseling, are underutilized. As tobacco use occurs disproportionately among disadvantaged populations, efforts to improve smokers' access to health care, and to the tools that are known to help them quit, represent the most promising approaches for reducing smoking prevalence within these groups. Similar considerations apply to other chronic diseases contributing to population-level health disparities. We conclude that although genetics offers increasing opportunities to tailor drug treatment, and may in some cases provide useful risk prediction, other methods of personalizing care are likely to yield greater benefi t to populations experiencing health disparities related to tobacco use.

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Personalised care, access, quality and team coordination are the main dimensions of family medicine output

Cited by 21 publications

References 20 publications

Population and primary health-care team characteristics explain the quality of the service

Population and primary health-care team characteristics explain the quality of the service

Validación De Un Instrumento Para Medir El Nivel De Satisfacción De Mujeres Embarazadas Durante El Parto

Personalized Medicine and Tobacco-Related Health Disparities: Is There a Role for Genetics?

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