Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 4 de 4
Filter
1.
BMC Med Res Methodol ; 20(1): 151, 2020 06 11.
Article in English | MEDLINE | ID: mdl-32522265

ABSTRACT

BACKGROUND: At times of increasing pressure on emergency departments, and the need for research into different models of service delivery, little is known about how to recruit patients for qualitative research in emergency departments. We report from one study which aimed to collect evidence on patients' experiences of attending emergency departments with different models of using general practitioners, but faced challenges in recruiting patients. This paper aims to identify and reflect on the challenges faced at all stages of patient recruitment, from identifying and inviting eligible patients, consenting them for participation and finally to engaging them in interviews, and make recommendations based on our learning. METHODS: A thematic analysis was carried out on field-notes taken during research visits and meeting minutes of discussions to review and improve patient recruitment throughout the study. RESULTS: The following factors influenced the success of patient recruitment in the emergency department setting: complicated or time-consuming electronic health record systems for identifying patients; narrow participant eligibility criteria; limited research nurse support; and lack of face-to-face communication between researchers and eligible patients. CONCLUSIONS: This paper adds to the methodological evidence for improving patient recruitment in different settings, with a focus on qualitative research in emergency departments. Our findings have implications for future studies attempting to recruit patients in similar settings.


Subject(s)
Emergency Service, Hospital , Research Personnel , Communication , Humans , Patient Selection , Qualitative Research
2.
BMJ Open ; 9(4): e024501, 2019 04 11.
Article in English | MEDLINE | ID: mdl-30975667

ABSTRACT

OBJECTIVES: Worldwide, emergency healthcare systems are under intense pressure from ever-increasing demand and evidence is urgently needed to understand how this can be safely managed. An estimated 10%-43% of emergency department patients could be treated by primary care services. In England, this has led to a policy proposal and £100 million of funding (US$130 million), for emergency departments to stream appropriate patients to a co-located primary care facility so they are 'free to care for the sickest patients'. However, the research evidence to support this initiative is weak. DESIGN: Rapid realist literature review. SETTING: Emergency departments. INCLUSION CRITERIA: Articles describing general practitioners working in or alongside emergency departments. AIM: To develop context-specific theories that explain how and why general practitioners working in or alongside emergency departments affect: patient flow; patient experience; patient safety and the wider healthcare system. RESULTS: Ninety-six articles contributed data to theory development sourced from earlier systematic reviews, updated database searches (Medline, Embase, CINAHL, Cochrane DSR & CRCT, DARE, HTA Database, BSC, PsycINFO and SCOPUS) and citation tracking. We developed theories to explain: how staff interpret the streaming system; different roles general practitioners adopt in the emergency department setting (traditional, extended, gatekeeper or emergency clinician) and how these factors influence patient (experience and safety) and organisational (demand and cost-effectiveness) outcomes. CONCLUSIONS: Multiple factors influence the effectiveness of emergency department streaming to general practitioners; caution is needed in embedding the policy until further research and evaluation are available. Service models that encourage the traditional general practitioner approach may have shorter process times for non-urgent patients; however, there is little evidence that this frees up emergency department staff to care for the sickest patients. Distinct primary care services offering increased patient choice may result in provider-induced demand. Economic evaluation and safety requires further research. PROSPERO REGISTRATION NUMBER: CRD42017069741.


Subject(s)
Cost-Benefit Analysis , Emergency Service, Hospital , General Practitioners , Patient Transfer , Primary Health Care , Professional Role , Triage , Attitude of Health Personnel , Emergencies , Emergency Medical Services , England , Health Policy , Humans , Patient Acceptance of Health Care , Referral and Consultation
3.
Emerg Med J ; 31(6): 471-5, 2014 Jun.
Article in English | MEDLINE | ID: mdl-23605036

ABSTRACT

BACKGROUND AND OBJECTIVE: Risk-adjusted mortality rates can be used as a quality indicator if it is assumed that the discrepancy between predicted and actual mortality can be attributed to the quality of healthcare (ie, the model has attributional validity). The Development And Validation of Risk-adjusted Outcomes for Systems of emergency care (DAVROS) model predicts 7-day mortality in emergency medical admissions. We aimed to test this assumption by evaluating the attributional validity of the DAVROS risk-adjustment model. METHODS: We selected cases that had the greatest discrepancy between observed mortality and predicted probability of mortality from seven hospitals involved in validation of the DAVROS risk-adjustment model. Reviewers at each hospital assessed hospital records to determine whether the discrepancy between predicted and actual mortality could be explained by the healthcare provided. RESULTS: We received 232/280 (83%) completed review forms relating to 179 unexpected deaths and 53 unexpected survivors. The healthcare system was judged to have potentially contributed to 10/179 (8%) of the unexpected deaths and 26/53 (49%) of the unexpected survivors. Failure of the model to appropriately predict risk was judged to be responsible for 135/179 (75%) of the unexpected deaths and 2/53 (4%) of the unexpected survivors. Some 10/53 (19%) of the unexpected survivors died within a few months of the 7-day period of model prediction. CONCLUSIONS: We found little evidence that deaths occurring in patients with a low predicted mortality from risk-adjustment could be attributed to the quality of healthcare provided.


Subject(s)
Emergency Service, Hospital/standards , Hospital Mortality , Quality Indicators, Health Care , Quality of Health Care/standards , Risk Adjustment , Australia/epidemiology , England/epidemiology , Hong Kong/epidemiology , Humans , Models, Statistical , Risk Assessment
4.
Acta Neurochir Suppl ; 106: 235-7, 2010.
Article in English | MEDLINE | ID: mdl-19812956

ABSTRACT

BACKGROUND: We have investigated the impact of primary decompressive craniectomies on neurological outcomes after adjusting for other predictive variables. METHOD: We have collected data from trauma patients with acute subdural hematomas in a regional trauma center in Hong Kong over a 4-year period. Patient risk factors were investigated using logistic regression. RESULTS: Out of 464 patients with significant head injuries, 100 patients had acute subdural hematomas and were recruited for analysis. Forty-four percent of the patients achieved favorable neurological outcomes after 6 months. Favorable neurological outcomes at 1 year were related to age, pupil dilatation, and motor GCS scores at the time of admission. In the 34 patients who underwent evacuation of acute subdural hematomas, primary decompressive craniectomy was not associated with favorable neurological outcomes. CONCLUSION: Primary decompressive craniectomy failed to show benefit in terms of neurological outcomes and should be reserved for cases with uncontrolled intra-operative brain swelling.


Subject(s)
Decompressive Craniectomy/methods , Hematoma, Subdural/physiopathology , Hematoma, Subdural/surgery , Neurologic Examination , Aged , Aged, 80 and over , Female , Hong Kong , Humans , Male , Middle Aged , Outcome Assessment, Health Care , Predictive Value of Tests , Retrospective Studies , Risk Factors , Severity of Illness Index
SELECTION OF CITATIONS
SEARCH DETAIL
...