scholarly journals Structural equation modeling for identification of patient safety antecedents in primary care

2020 ◽  
Author(s):  
Katarzyna Kosiek ◽  
Iwona Staniec ◽  
Maciej Godycki-Cwirko ◽  
Adam Depta ◽  
Anna Kowalczyk
Keyword(s):  
Primary Care ◽  
Patient Safety ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Safety Management ◽  
Improve Patient Safety ◽  
Equation Modeling ◽  
Number Of Factors ◽  
Safety Interventions ◽  
Improve Patient

Abstract Background:. Patient safety is defined as an activity that minimizes and removes possible errors and injuries to patients. A number of factors have been found to influence patient safety management, including the facilities available in the practice, communication and collaboration, education regarding patient safety and generic conditions. This study tested a theoretical model of patient safety interventions based on safety antecedents. Methods: Medical professionals were surveyed using a questionnaire developed by Gaal et al. The results were analyzed with SPSS 20 and AMOS. A hypothetical model of direct and indirect effects on patient safety in a primary care environment was created and analyzed using structural equation modeling (SEM). Results: SEM proved to be an effective tool to analyse safety in primary care. The facilities in the practice appear to have no significant influence on patient safety management in the case of female respondents, those below mean age, those who are not GPs (general practitioner) and respondents not working in counselling centres.Conclusions: The integrated safety model described in the study can improve patient safety management.

scholarly journals Structural equation modeling for identification of patient safety antecedents in primary care

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Katarzyna Kosiek ◽  
Iwona Staniec ◽  
Maciej Godycki-Cwirko ◽  
Adam Depta ◽  
Anna Kowalczyk
Keyword(s):  
Primary Care ◽  
Patient Safety ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Safety Management ◽  
Improve Patient Safety ◽  
Equation Modeling ◽  
Number Of Factors ◽  
Safety Interventions ◽  
Improve Patient

Abstract Background Patient safety is defined as an activity that minimizes and removes possible errors and injuries to patients. A number of factors have been found to influence patient safety management, including the facilities available in the practice, communication and collaboration, education regarding patient safety and generic conditions. This study tested a theoretical model of patient safety interventions based on safety antecedents. Methods Medical professionals were surveyed using a questionnaire developed by Gaal et al. The results were analyzed with SPSS 20 and AMOS. A hypothetical model of direct and indirect effects on patient safety in a primary care environment was created and analyzed using structural equation modeling (SEM). Results SEM proved to be an effective tool to analyse safety in primary care. The facilities in the practice appear to have no significant influence on patient safety management in the case of female respondents, those below mean age, those who are not GPs (general practitioner) and respondents not working in counselling centres. Conclusions The integrated safety model described in the study can improve patient safety management.

scholarly journals Structural Equation Modeling for Identification of Patient Safety Antecedents in Primary Care

2020 ◽  
Author(s):  
Katarzyna Kosiek ◽  
Iwona Staniec ◽  
Maciej Godycki-Cwirko ◽  
Adam Depta ◽  
Anna Kowalczyk
Keyword(s):  
Primary Care ◽  
Patient Safety ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Safety Management ◽  
Integrative Model ◽  
Equation Modeling ◽  
Professional Discipline ◽  
Safety Improvement ◽  
Ensure Patient Safety

Abstract Background: To create an integrative model of patient safety, concerning antecedents based on the perception of patient safety improvement strategies expressed by primary care professionals: facilities available in the practice, communication and collaboration, education on patient safety and generic conditions for patient safety. Methods: We attended several conferences and seminars in Poland where we presented these strategies. In this way, we gained contacts with doctors potentially interested in patient safety. We ensured ourselves contact persons who could respond to our questionnaire. Those persons assured us that they would send the names of prospective respondents. In this research we were used questionnaire form research Gaal S, Verstappen W, Wensing M (1). The results were analyzed with SPSS 20 and AMOS. A hypothetical model of direct and indirect effects on patient safety in a primary care environment was created and analyzed using structural equation modeling (SEM). Results: Improved implementation of strategies was directly and indirectly associated with better patient safety. SEM proved to be an effective tool to analyse safety in primary care. The facilities in the practice appear to have no significant influence on patient safety management in the case of female respondents, those age lower than mean, current professional discipline is not GP and respondents not work in counselling centres.Conclusions: The following should be improved to ensure patient safety: Generic conditions for patient safety, facilities in the practice, communication and collaboration, and education on patient safety.

scholarly journals Population-level Preferences for Primary Care Physicians' Characteristics in Japan: A Structural Equation Modeling

2010 ◽  
Vol 49 (2) ◽  
pp. 125-130 ◽  
Author(s):  
Osamu Takahashi ◽  
Sachiko Ohde ◽  
Joshua L. Jacobs ◽  
Yasuharu Tokuda ◽  
Haruo Yanai ◽  
...  
Keyword(s):  
Primary Care ◽  
Structural Equation Modeling ◽  
Primary Care Physicians ◽  
Structural Equation ◽  
Population Level ◽  
Equation Modeling

scholarly journals Identifying Primary Care Pathways from Quality of Care to Outcomes and Satisfaction Using Structural Equation Modeling

2017 ◽  
Vol 53 (1) ◽  
pp. 430-449 ◽  
Author(s):  
Ignacio Ricci-Cabello ◽  
Sarah Stevens ◽  
Andrew R. H. Dalton ◽  
Robert I. Griffiths ◽  
John L. Campbell ◽  
...  
Keyword(s):  
Primary Care ◽  
Quality Of Care ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Equation Modeling ◽  
Care Pathways

scholarly journals Adverse events analysis as an educational tool to improve patient safety culture in primary care: A randomized trial

2011 ◽  
Vol 12 (1) ◽  
Author(s):  
Clara González-Formoso ◽  
María Victoria Martín-Miguel ◽  
Ma José Fernández-Domínguez ◽  
Antonio Rial ◽  
Fernando Isidro Lago-Deibe ◽  
...  
Keyword(s):  
Primary Care ◽  
Patient Safety ◽  
Adverse Events ◽  
Randomized Trial ◽  
Safety Culture ◽  
Improve Patient Safety ◽  
Patient Safety Culture ◽  
Educational Tool ◽  
Improve Patient

Piloting the SinergyAPS theory-based online intervention centred around the systematic patient feedback for improving patient safety in Primary Care: a mixed-methods feasibility study (Preprint)

2021 ◽  
Author(s):  
Maria J Serrano-Ripoll ◽  
Maria A. Fiol-DeRoque ◽  
José M. Valderas ◽  
Rocío Zamanillo-Campos ◽  
Joan Llobera ◽  
...  
Keyword(s):  
Primary Care ◽  
Patient Safety ◽  
Safety Culture ◽  
Improve Patient Safety ◽  
Online Intervention ◽  
Patient Safety Culture ◽  
Post Intervention ◽  
Patient Feedback ◽  
Perceived Utility ◽  
Improve Patient

BACKGROUND Developing new strategies to support the provision of safer primary care (PC) is a major priority both internationally and in Spain, where around 3 million adverse events occur each year in the PC setting. OBJECTIVE The primary aims of this mixed-methods feasibility study were to examine the feasibility and to explore the acceptability and perceived utility of the SinergiAPS intervention, a novel low-cost and scalable theory-based online intervention to improve patient safety in PC centres, based on the use of patient feedback. The secondary aim was to examine the potential impact of the intervention to improve patient safety culture and avoidable hospitalizations in PC centres. METHODS We conducted a three-month, one-arm, feasibility trial in ten PC centres in Spain. Centres were fed back information regarding patients' experiences of safety (collected through PREOS-PC questionnaire) and were instructed to plan safety improvement actions based on it. We measured recruitment and follow-up rates, and intervention uptake (number of centres registering improvement plans). We explored the impact of the intervention on patient safety culture (MOSPSC questionnaire), and avoidable hospital admissions rate. We conducted semi-structured interviews with nine professionals to explore the acceptability and perceived utility of the intervention. RESULTS Of 256 professionals invited, 120 (47%) accepted to participate and 97 completed baseline and post-intervention measures. Of 780 patients invited, 585 (77%) completed the PREOS-PC questionnaire. Five centres designed 27 improvement actions. Most of the actions addressed treatment-related safety problems and consisted in the provision of training to PC providers. Compared to baseline, post-intervention MOSPSC scores were significantly higher (indicating a higher level of culture) for the safety culture synthetic index (3.36/5 at baseline vs. 3.44/5 at post-intervention (2% increase); p=0.01). No differences (p=0.11) were observed in avoidable admissions rate before (median (IQR)=0.78 (0.7 to 0.9) vs. after the intervention (0.45 (0.33 to 0.83)). The interviews revealed that the intervention was perceived as a novel strategy that could produce long-term safety improvements by raising their awareness and improving their technical knowledge about patient safety. CONCLUSIONS The proposed intervention is feasible to deliver and perceived as acceptable and useful by PC professionals if the barriers identified are addressed. The effectiveness of the refined intervention will be assessed in a trial involving 59 centres. CLINICALTRIAL clinicaltrials.gov NCT03837912

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