Showing 6 results for Monitoring
M Farahbakhsh, A Nikniaz, A Mardi, A Hasan Zade, S Entezar,
Volume 12, Issue 1 (5-2013)
Abstract
Background: utilizing control chart in customer satisfaction evaluation is one of the effective tools in making results of customer analysis practical. This study was conducted to design the method of utilizing control chart in monitoring customer satisfaction in health care facilities.This prospective study measured service recipients' satisfaction in a three month period in a public hospital using a questionnaire in likert scale. After gathering initial data they were analyzed using SPSS and Excel soft wares .In order to evaluate customer satisfaction a ten parameter checklist and interview was used. The average and standard deviation of decuple and quintuple subgroups were compared.
Results: In a three month period the average patient satisfaction score was 4.5 in likert 5 score scale.There wasn't a significant statistical difference between 5,10,25 day duration in patient satisfaction. In addition there wasn't significant statistical difference between 5 samples per day and 10 samples per day and all samples in a day. R-X diagram was used for PSS monitoring.
Conclusion: The results of this study showed that the average PSS in 20 and 25 day periods had no significant difference with 3 month PSS and also there wasn't significant statistical difference between average PSS in decuple and quintuple subgroups.
Feizollah Akbari Haghighi , Ebrahim Jafari Poyan , Negar Aghighi,
Volume 13, Issue 3 (12-2014)
Abstract
Background: Monitoring and/or control are the management main duties. This duty is so important which some of authorities believed that efficient management depends on Effective Control System (ECS).This study aimed at identifyingbarriersandfacilitators of performance monitoring and providing some strategies for effective health care monitoring.
Materials and Method: This study was a qualitative one which data was collected bySemi-structured questionnaire filled by interview in2011-2012 and analyzed usingframeworkanalysis. Study population consisted of 25 experts and directors of care/treatment performance monitoring.
Results:Based on study results, nineconceptswere extracted as following:specialized nature of treatment performance monitoring, health assessors’ education, work experience in line units, prerequisites for new treatment performance monitoring, personal characteristics of care monitoring expert, managerial support of assessors, culture of monitoring process acceptability, facilitators and barriers of monitoring. Based on these concepts, 28 codes were identified.
Conclusion: Experienced assessors’ assessment, based on their specialty professionals’accurate and applied systematic education and management support are main items which will be result in more effective care/treatment performance monitoring.
Mohammadreza Tavakkoli, Dr. Saeed Karimi, Dr. Marzieh Javadi, Dr. Alireza Jabbaria,
Volume 16, Issue 1 (4-2017)
Abstract
Background: In year 1995, new system administration plan of hospitals (fee for service) was notified. This scheme was implemented in hospitals for 20 years. In the early September 2104, new guidelines of performance-based fee for service plan with the aim of deficiencies in the previous plan was reviewed and implemented in hospitals in Isfahan. This study aimed at investigating reform strategies to improve monitoring performance and infrastructure implementation development of the new scheme of fee guidelines in 2014.
Materials and Methods: This study was a qualitative one based of phenomenology. Depth interviews were used to collect data. Eleven individuals assessed including top and middle managers and professors of Isfahan University of Medical Sciences using content analysis method.
Results: In this study, eight main themes and ten sub-themes extracted including appropriate policy making, health management reform in health system, cultural building in monitoring, proper planning, physicians' motivation, infrastructure improvement, improving training, informatics and constructive interactions between senior managers and hospitals' directors.
Conclusion: With the aim of rationalizing the health system, new instructions and fee for service plan should be considered well to tackle weak points. It seems that coping with these weak spots in new fee for service plan, has feasibility to provide more satisfaction among physicians and staff. To achieve main goal of the project which defined as patients and staff satisfaction, using new reform strategies to facilitate plan implementation, continuing observation and stronger mentoring recommended.
Mohssen Ghanavatinejad, Mahdieh Tavakoli, Dr Mohamadmehdi Sepehri,
Volume 18, Issue 3 (10-2019)
Abstract
Background: with increasing demand for treatment, patients are monitored with help of Internet of Things(IOT). Patient's monitoring devices and technologies include heart rate measurement, blood pressure measurement, blood glucose and other vital signs. The purpose of study is to provide a model of clustering patient physical monitoring gadgets and apps in Healthcare Internet of Things (HIOT) environment using data mining techniques, so based on the needs and characteristics of the user, the more appropriate results of choosing technologies acquired.
Materials and methods: This study is a review and functional since its result. The data includes 6 unique features of 60 selected technologies including function, price, connectivity route, power supply, location and type of use that has been extracted from R&D and advertising sites of technologies and also relevant articles. data analysis method is clustering technique and K-medoids algorithm. to identify the most effective features, random forest algorithm has been used.
Results: the proposed clustering model takes into account 6 as inputs and clusters gadgets and apps in accordance with selected characteristics as the model outputs. clustering problem data is clustered in 4 categories. Silhouette index is 0.45, which indicates the validity of the model. The type of application and then the price had the greatest impact on clustering.
Conclusion: By this model, patients or users can find the most appropriate technology based on the type of disease and other effective features, such as price. So with accurate physical and momentary monitoring, disease progression decrease and prevention of disease will improve.
Seyyed Mohammad Mehdi Baki Hashemi,
Volume 21, Issue 1 (5-2022)
Abstract
Background: thousands of people die or suffer from irreversible damage due to lack of timely and adequate services in medical centers. This research seeks to identify and prioritize factors affecting the demand for patient transfer and provide the most effective measures to facilitate this process.
Materials and Methods: This research is combined in terms of method and inductive research in terms of type of research. The population of study is the senior and middle managers of Guilan University of Medical Sciences who were selected as a sample member using purposive sampling method. The factors affecting patient transfer demand were identified using qualitative data obtained from exploratory studies, then these factors were prioritized using fuzzy Delphi method.
Results: In the first part, a set of factors affecting the demand for patient transfer were identified, and in the second part, the importance and priority of these factors were determined. The results of the research showed fourteen main factors, including disproportionate distribution of specialized human resources, ineffective planning, inefficient management, and inefficiency of human resources.
Conclusion: Inefficient organizational processes and organizational structures along with real needs have been identified as reasons for patient transfer demand,which requires special attention of supervisors and management of organizational development and administrative transformation of universities. It seems that the formation of a special monitoring and planning working group to remove obstacles in a centralized manner at the highest organizational level and a special look at the reports of the care monitoring center as the most effective measure can be used to manage the dispatch process, planning, Monitor and remove obstacles.
Seyed Mohammad Mehdi Baki Hashemi,
Volume 22, Issue 1 (5-2023)
Abstract
Background and purpose: Inter-hospital transfer refers to the transfer of patients to receive diagnostic, therapeutic and paraclinical services that can prevent more injuries or more effective treatment. The present study was designed with the aim of collecting and analyzing information related to sent patients and identifying the factors that cause the transfer of patients.
Methods: This cross-sectional study was conducted on 11,362 patient referral forms registered at Gilan University of Medical Sciences. Data were analyzed by Spss statistical software version 22 and Chisquer statistical test.
Results: The amount of patient transfer requests in 1401 compared to 1400 has increased by 9%. There is a relationship between the demand for transfer of patients with inappropriate distribution of specialized human resources, lack of demand feedback mechanisms, ineffective planning of nursing staff and residency of doctors in the hospital of origin, inefficient management of resources and equipment, lack of diagnostic, medical and pharmaceutical facilities, as well as with the seasons of the year. There is significant (p>0.05). There is a significant relationship between non-acceptance of patients and the lack or lack of beds needed by the patient in the destination hospital (p<0.05).
Conclusion: Improper distribution of specialized manpower according to the needs of the region, ineffective planning of resident guards, inefficient management have been identified as the main reasons for the demand for patient transfer. Forming a special working group to identify, evaluate, plan and monitor the removal of obstacles in a centralized manner and forming quality improvement circles can be a solution.
