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Faktorer på akutmottagningen som är av betydelse för patientens tillfredställelse av vården : - en litteraturstudieEdin, Caroline, Mälby, Sara January 2013 (has links)
Syfte: Att beskriva faktorer av betydelse för patienttillfredsställelse på akutmottagningen.Metod: En litteraturstudie med beskrivande design. Data baserades på 13 artiklar sökta i databasen PubMed.Resultat: Totalt identifierades sju faktorer av betydelse för patienttillfredsställelsen av vården på akutmottagningen. Faktorerna var patientens bakgrund, vårdpersonalens bemötande, information, kommunikation, triageprocessen, väntetid och miljö. Resultatet visade att den viktigaste faktorn som hade betydelse för patientens tillfredställelse på akutmottagningen var väntetiden, ovissheten kring denna och triageprocessens påverkan.Slutsats: Faktorerna visade sig vara viktiga var för sig och ännu viktigare i kombination med varandra. Om patienterna var missnöjda med en faktor påverkade det ofta tillfredställelsen av de andra faktorerna under besöket på akutmottagningen. Väntetiden tyder sig vara den mest betydande faktorn för patienttillfredsställelse i kombination med att triagesystemet påverkade hur länge patienterna faktiskt väntade på akutmottagningen. Forskning finns om vilka faktorer som var betydande för patienterna på akutmottagningen, ändå var patienterna fortsatt otillfredsställda och ovetande på akutmottagningen. Ytterligare forskning behövs kring samband mellan faktorer som är betydande för patienttillfredsställelsen på akutmottagningen och specifikt triagesystemets betydelse för väntetider och patienttillfredsställelse. Även forskning om triagesystemet är ett fungerande system, då samband visats med väntetider. / Aim: To describe the factors of patient satisfaction in the emergency department. Method: A literature review with descriptive design. The data was based on 13 articles searched in the PubMed database.Result: In total, seven factors of patient satisfaction of care were identified in the emergency department. The factors were the patient's background, health professional response, information, communication, the triage process, waiting time and the environment. The result showed that the main factor that had an impact on patient satisfaction in the emergency department was waiting time, the uncertainty surrounding this and the impact of the triageprocess. Conclusion: The factors shown to be important in itself, and more importantly, in combination with each other. If patients were dissatisfied with one factor it often affected the satisfaction of the other factors during the visit to the emergency department. The waiting time suggest being the most significant factor for patient satisfaction and the triage system affected how long the patients actually waited in the emergency department. Research exists on what factors that are significant for patients in the emergency department. Yet patients continued to be unsatisfied and unaware in the emergency department. Further research is needed about the relationship between the factors that are important for patient satisfaction in the emergency department and specific the triage system's impact on waiting times and patient satisfaction. Also research on the triage system as a functioning system, as association showed to waiting times.
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Schätzung maximaler Wartezeiten mittels Extremwertverteilung an lichtsignalgesteuerten KnotenpunktenDrache, Lisa 04 July 2018 (has links) (PDF)
In dieser Arbeit wurde erstmalig die Anwendung der Extremwerttheorie auf Wartezeiten eines lichtsignalgesteuerten Verkehrsknotenpunktes untersucht. Anhand der Verkehrsstärken eines realen Knotenpunktes wurden mit der Simulationssoftware PTV Vissim 100 Datensätze mit individuellen Wartezeiten erzeugt. Als Referenz wurde eine zweite Simulationsreihe durchgeführt. Diese erfolgte mit 15 % höherer Verkehrsstärke. Mittels der Blockmaximum-Methode wurden aus den erzeugten Datensätzen die Maxima ausgewählt, welche mit der Maximum-Likelihood Methode an eine Extremwertverteilung angepasst wurden. Die Bewertung der Schätzung wurde mit dem Kolmogorov-Smirnov Test vorgenommen. Anschließend wurde die Wahrscheinlichkeit, dass bestimmte Wartezeiten überschritten werden (Value at Risk) berechnet. Im Ergebnis konnten 22 % der geschätzten Extremwertverteilungen mit ausreichender Güte angepasst werden. Für die restlichen Datensätze sollte nach Alternativen zur angemessenen Beschreibung gesucht werden.
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Comparing waiting times of different stages and grades of bladder cancer in the fast-track at Örebro University HospitalSjöberg, Jonna January 2020 (has links)
Background Waiting times of the fast-track of bladder cancer in Sweden are prolonged compared with set lead times.Aim To investigate if stage and grade of tumor affects waiting times.Method Retrospective single center observational study, Örebro University Hospital, Sweden. All patients who underwent resection of tumor or cystoscopy with biopsy via the fast-track between July 1st 2017 and December 31st 2018 were included, n=119.Result The waiting times of muscle invasive tumors were in general longer than for non-invasive tumors. Referral to TURBT - twelve days (p=0.047), referral to information of diagnosis to patient - seven days (p=0.04) and cystoscopy to TURBT - eleven days (p=0.041.Conclusion MIBC had longer waiting times to most steps of the fast-track. There are conflicting results in previous studies regarding whether extended waiting times result in worse outcomes in those with higher stage and grade of tumors or not. It is known that long waiting times results in higher mortality and psychological stress among the patients why reorganizations at the department should take place.
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The role of triage to reduce long waiting times in primary health care clinics / Anna-Therese SwartSwart, Anna-Therese January 2014 (has links)
Worldwide, patients who visit health-care facilities generally have to wait very long to be attended by physicians and professional nurses. In South Africa, the Cape Triage Score system was implemented with great success in Emergency departments in the Cape Metropole. In primary health-care clinics the concern is that patients have to wait too long for service delivery, even if they are very ill and need hospitalisation. In this research study the role of triage in reducing waiting times in primary health-care clinics was examined. The Cape Triage Score system that was used in Emergency departments in the private sector and also in public hospitals was adapted for a pilot intervention study. This was done to determine if the utilisation of this system can reduce the waiting times of patients visiting primary health-care clinics.
The researcher utilised a quantitative design with an intervention, after measuring the baseline waiting time. The strategies applied included an exploratory, descriptive and contextual strategy. The study was carried out in three steps according to the objectives set for the study. Firstly, the baseline assessment of the current waiting times in two PHC clinics in a sub-district of the North West Province was done. A waiting-time survey checklist was used to determine the baseline waiting time of patients visiting primary health-care clinics. These waiting-time survey checklists consisted of a few components that assessed different aspects of waiting time. The second objective was to explore and describe literature in order to understand primary health-care waiting times, triage and related constructs. The third objective was to pilot an adapted Cape Triage Score system to determine if the intervention contributed to reducing waiting times for patients visiting primary health-care clinics.
Data was analysed according to Cohen’s effect sizes. The comparison between the baseline waiting times and pilot intervention waiting-time assessment was done according to Cohen’s effect sizes. The analysis of the data indicated a practical significance for the component where the pilot Cape Triage Score system was applied, as patients were referred to the physician and professional nurse according to the severity of their condition. The outcome of the study indicated no reduction in the overall waiting time of patients visiting primary health-care clinics due to the different components of the waiting-time survey checklist. Finally, the research was evaluated, limitations were identified and recommendations were stipulated for nursing practice, education, research and policy. / MCur, North-West University, Potchefstroom Campus, 2014
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The role of triage to reduce long waiting times in primary health care clinics / Anna-Therese SwartSwart, Anna-Therese January 2014 (has links)
Worldwide, patients who visit health-care facilities generally have to wait very long to be attended by physicians and professional nurses. In South Africa, the Cape Triage Score system was implemented with great success in Emergency departments in the Cape Metropole. In primary health-care clinics the concern is that patients have to wait too long for service delivery, even if they are very ill and need hospitalisation. In this research study the role of triage in reducing waiting times in primary health-care clinics was examined. The Cape Triage Score system that was used in Emergency departments in the private sector and also in public hospitals was adapted for a pilot intervention study. This was done to determine if the utilisation of this system can reduce the waiting times of patients visiting primary health-care clinics.
The researcher utilised a quantitative design with an intervention, after measuring the baseline waiting time. The strategies applied included an exploratory, descriptive and contextual strategy. The study was carried out in three steps according to the objectives set for the study. Firstly, the baseline assessment of the current waiting times in two PHC clinics in a sub-district of the North West Province was done. A waiting-time survey checklist was used to determine the baseline waiting time of patients visiting primary health-care clinics. These waiting-time survey checklists consisted of a few components that assessed different aspects of waiting time. The second objective was to explore and describe literature in order to understand primary health-care waiting times, triage and related constructs. The third objective was to pilot an adapted Cape Triage Score system to determine if the intervention contributed to reducing waiting times for patients visiting primary health-care clinics.
Data was analysed according to Cohen’s effect sizes. The comparison between the baseline waiting times and pilot intervention waiting-time assessment was done according to Cohen’s effect sizes. The analysis of the data indicated a practical significance for the component where the pilot Cape Triage Score system was applied, as patients were referred to the physician and professional nurse according to the severity of their condition. The outcome of the study indicated no reduction in the overall waiting time of patients visiting primary health-care clinics due to the different components of the waiting-time survey checklist. Finally, the research was evaluated, limitations were identified and recommendations were stipulated for nursing practice, education, research and policy. / MCur, North-West University, Potchefstroom Campus, 2014
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Assessment of waiting and service times in public and private health care facilities in Gondar district, North western Ethiopia.Zegeye, Desalegn Tegabu. January 2008 (has links)
<p>The development and provision of equitable and acceptable standard of health services to all segments of the population has been the major objective of the 1993 Ethiopian National health policy. However, community based studies on satisfaction with public health care facilities reveal that the majority of the population are not satisfied with the services provided predominantly as a result of the long waiting times. Studies done on private health facilities on the contrary reveal that patients are satisfied with the service delivered within short waiting times in these clinics. Even though the speculated waiting time is thought to be long among the public health care facilities and short in private clinics, the actual waiting and service times have not been measured and compared. Aim: To determine the waiting and service times among the public and private health care facilities and measure the perceptions of &ldquo / acceptable&rdquo / waiting time among the providers and clients. Materials and methods: A cross sectional observational study using quantitative techniques was carried out amongst patients and staff at selected public and private health care facilities in Gondar District. Stratified sampling method was used to select facilities. All patients visiting the selected facilities and all staff who provided service to patients on the day of the study were included in the time-delimited sample. Data was collected by research assistants and health workers from all patients attending the health care facility by registering the arrival and departure time of each patient to the facility and to each service point on a patient flow card. Then data was cleaned and captured by a specific Waiting and Service Time database. Descriptive statistics was done on waiting and service times for each facility and this was summarized for each public and private health facility by using tables and graphs. Finally a comparison was made for private and public health facilities by using Wilcoxon-mann-whitney non parametric tests.</p>
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An investigation into the waiting list experience : exploring parents' views of children referred to a Child and Adolescent Mental Health ServiceWoodhouse, Wendy January 2007 (has links)
Aims: The purpose of the qualitative study was to gain insight into the way parents experience and manage the waiting process following a referral to a Child and Adolescent Mental Health Service. The aim was to use the information for future service delivery and therapeutic engagement. Method: 6 parents whose child had been referred to a Child and Adolescent Mental Health Service and had been waiting for more than eight weeks were recruited using a purposive sampling method and participated in a semi-structured interview. The interviews were transcribed and analysed using the principles of Pidgeon & Henwood’s (1992) grounded theory techniques, facilitating the development and refinement of a theoretical model. Results: The resulting model highlights the waiting experience as fraught by loneliness, abandonment and self blame resulting in an interchanging role of being active or passive and the subsequent cycle they subside into. Some parents use the waiting time effectively by searching for their own answers but may eventually become passive following a belief that their parenting is insufficient. The disempowerment and self blame that is perpetuated through waiting intensifies the parents’ helplessness and results in a wide disparity between a negative self view and the idealised view of the professional. Conclusion: This study described the difficult experiences parents face while waiting for their child’s initial appointment. Parents need to be offered support, information and empowerment while waiting with ongoing communication from the service. Recommendations for future service and clinical delivery are provided.
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Assessment of waiting and service times in public and private health care facilities in Gondar district, North western Ethiopia.Zegeye, Desalegn Tegabu. January 2008 (has links)
<p>The development and provision of equitable and acceptable standard of health services to all segments of the population has been the major objective of the 1993 Ethiopian National health policy. However, community based studies on satisfaction with public health care facilities reveal that the majority of the population are not satisfied with the services provided predominantly as a result of the long waiting times. Studies done on private health facilities on the contrary reveal that patients are satisfied with the service delivered within short waiting times in these clinics. Even though the speculated waiting time is thought to be long among the public health care facilities and short in private clinics, the actual waiting and service times have not been measured and compared. Aim: To determine the waiting and service times among the public and private health care facilities and measure the perceptions of &ldquo / acceptable&rdquo / waiting time among the providers and clients. Materials and methods: A cross sectional observational study using quantitative techniques was carried out amongst patients and staff at selected public and private health care facilities in Gondar District. Stratified sampling method was used to select facilities. All patients visiting the selected facilities and all staff who provided service to patients on the day of the study were included in the time-delimited sample. Data was collected by research assistants and health workers from all patients attending the health care facility by registering the arrival and departure time of each patient to the facility and to each service point on a patient flow card. Then data was cleaned and captured by a specific Waiting and Service Time database. Descriptive statistics was done on waiting and service times for each facility and this was summarized for each public and private health facility by using tables and graphs. Finally a comparison was made for private and public health facilities by using Wilcoxon-mann-whitney non parametric tests.</p>
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Assessment of waiting and service times in public and private health care facilities in Gondar district, North western EthiopiaTegabu, Zegeye Desalegn January 2008 (has links)
Magister Public Health - MPH / The development and provision of equitable and acceptable standard of health services to all segments of the population has been the major objective of the 1993 Ethiopian National health policy. However, community based studies on satisfaction with public health care facilities reveal that the majority of the population are not satisfied with the services provided predominantly as a result of the long waiting times. Studies done on private health facilities on the contrary reveal that patients are satisfied with the service delivered within short waiting times in these clinics. Even though the speculated waiting time is thought to be long among the public health care facilities and short in private clinics, the actual waiting and service times have not been measured and compared. Aim: To determine the waiting and service times among the public and private health care facilities and measure the perceptions of 'acceptable' waiting time among the providers and clients. Materials and methods: A cross sectional observational study using quantitative techniques was carried out amongst patients and staff at selected public and private health care facilities in Gondar District. Stratified sampling method was used to select facilities. All patients visiting the selected facilities and all staff who provided service to patients on the day of the study were included in the time-delimited sample. Data was collected by research assistants and health workers from all patients attending the health care facility by registering the arrival and departure time of each patient to the facility and to each service point on a patient flow card. Then data was cleaned and captured by a specific Waiting and Service Time database. Descriptive statistics was done on waiting and service times for each facility and this was summarized for each public and private health facility by using tables and graphs. Finally a comparison was made for private and public health facilities by using Wilcoxon-mann-whitney non parametric tests. / South Africa
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Assessment of waiting and service times in public and private health care facilities in Gondar district, north western EthiopiaZegeye, Desalegn Tegabu January 2008 (has links)
Magister Public Health - MPH / Aim: To determine the waiting and service times among the public and private health care facilities and measure the perceptions of “acceptable” waiting time among the providers and clients.
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