Health care providers' perceptions of factors that influence the provision of acute stroke care in urban and rural settings: A qualitative study

Healthcare provider perceptions of support provision for people with stroke: a qualitative study

PURPOSE

This study aimed to explore healthcare providers' perceptions of support provision for people who have experienced stroke.

MATERIALS AND METHODS

A qualitative descriptive study was conducted. Snowball sampling was used to recruit Australian healthcare workers providing care to people with stroke. Semi-structured one-on-one interviews were audiotaped and transcribed. An inductive thematic analysis of all transcripts was undertaken by two authors.

RESULTS

Fourteen participants who worked across the care continuum in three Australian states were interviewed. Responses fit into three overarching themes: (1) attitudes to supports; (2) availability and accessibility of supports; and (3) awareness of supports. These themes encompassed perceptions of the support options available for people with stroke and the factors affecting support provision decision making among healthcare providers.

CONCLUSIONS

The healthcare providers in this study thought people with stroke would benefit from a greater range of available supports. Supports should take into account the diverse experiences and acute and long-term needs of people with stroke, as well as be accessible to people from all cultural, linguistic, and socioeconomic backgrounds. Healthcare providers and people who have experienced stroke may benefit from a roadmap for post-stroke support that clearly outlines where responsibility lies for support provision.

Differences in Receipt of Neurologist Evaluation During Hospitalization for Ischemic Stroke by Race, Sex, Age, and Region: The REGARDS Study

BACKGROUND AND OBJECTIVES

Improving access to health care providers with clinical expertise in stroke care may influence the use of recommended strategies for reducing disparities in quality of care. Few studies have examined differences in the receipt of evaluation by neurologists during the hospital stay. We examined the proportion of individuals hospitalized for acute ischemic stroke who received evaluation by a neurologist during the hospital stay and characterized differences in receipt of neurologist evaluation by race (Black vs White), sex, age, and study region (Stroke Belt residence vs other) among those experiencing a stroke who were participating in a national cohort study.

METHODS

This cross-sectional study was conducted using medical record data abstracted from 1,042 participants enrolled in the national Reasons for Geographic and Racial Differences in Stroke cohort study (2003-2007) who experienced an adjudicated ischemic stroke between 2003 and 2016. Participants with a history of stroke before baseline, in-hospital death, hospice discharge following their stroke, or incomplete records were excluded resulting in 839 cases. Differences were assessed using modified Poisson regression adjusting for participant-level and hospital-level factors.

RESULTS

Of the 839 incident strokes, 722 (86%) received evaluation by a neurologist during the hospital stay. There were no significant differences by age, race, or sex, yet Stroke Belt residents and those receiving care in rural hospitals were significantly less likely to receive neurologist evaluation compared with non-Stroke Belt residents (relative risk [RR] 0.95; 95% CI 0.90-1.01) and participants receiving care in urban hospitals (RR 0.74; 95% CI 0.63-0.86). Participants with a greater level of poststroke functional impairment (modified Rankin scale) and those with a greater number of risk factors were more likely to receive neurologist evaluation compared with those with lower levels of poststroke functional impairment (RR 1.04; 95% CI 1.01-1.06) and fewer risk factors (RR 1.02; 95% CI 1.00-1.04).

DISCUSSION

While differences in access to neurologists during the hospital stay were partially explained by patient need in our study, there were also significant differences in access by region and urban-rural hospital status. Ensuring access to neurologists during the hospital stay in such settings may require policy-level and/or system-level changes.

Availability of stroke services and hospital facilities at different hospital levels in Thailand: a cross-sectional survey study

BACKGROUND

Stroke has one of the biggest burden of disease in Thailand and all health regions have been tasked to develop their service delivery to achieve the national key performance indicators set out by the Thai service plan strategy 2018-2022. Our aim was to characterise stroke services and hospital facilities by investigating differences in facilities across different hospital levels in Thailand.

METHODS

Self-complete questionnaires were distributed to 119 hospitals in 12 health regions between November-December 2019. Participants were health professionals whose main responsibilities are related to stroke service provision in their hospital. Descriptive statistics were used to report differences of stroke service provision between advanced-level, standard-level and mid-level referral hospitals.

RESULTS

Thirty-eight (32% response rate) completed questionnaires were returned. All advanced-level, standard-level (100%) and 55% of mid-level referral hospitals provided stroke units. Neurologists were available in advanced-level (100%) and standard-level referral hospitals (50%). Standard-level and mid-level referral hospitals only had a quarter of rehabilitation physicians compared to advanced-level referral hospital. Home-based rehabilitation was provided at 100% in mid-level but only at 16% and 50% in advanced-level and standard-level referral hospitals.

CONCLUSIONS

Setting up a stroke unit, as a national goal that was set out in the service plan strategy 2018-2022, was achieved fully (100%) in advanced-level and standard-level referral hospitals including key essential supportive components. However, capacity in hospitals was found to be limited and stroke service delivery needs to be improved especially at mid-level referral hospitals. This should include regular organisational surveys and the use of electronic records to facilitate monitoring of clinical/health outcomes of patients.

Team is brain: leveraging EHR audit log data for new insights into acute care processes

OBJECTIVE

To determine whether novel measures of contextual factors from multi-site electronic health record (EHR) audit log data can explain variation in clinical process outcomes.

MATERIALS AND METHODS

We selected one widely-used process outcome: emergency department (ED)-based team time to deliver tissue plasminogen activator (tPA) to patients with acute ischemic stroke (AIS). We evaluated Epic audit log data (that tracks EHR user-interactions) for 3052 AIS patients aged 18+ who received tPA after presenting to an ED at three Northern California health systems (Stanford Health Care, UCSF Health, and Kaiser Permanente Northern California). Our primary outcome was door-to-needle time (DNT) and we assessed bivariate and multivariate relationships with six audit log-derived measures of treatment team busyness and prior team experience.

RESULTS

Prior team experience was consistently associated with shorter DNT; teams with greater prior experience specifically on AIS cases had shorter DNT (minutes) across all sites: (Site 1: -94.73, 95% CI: -129.53 to 59.92; Site 2: -80.93, 95% CI: -130.43 to 31.43; Site 3: -42.95, 95% CI: -62.73 to 23.17). Teams with greater prior experience across all types of cases also had shorter DNT at two sites: (Site 1: -6.96, 95% CI: -14.56 to 0.65; Site 2: -19.16, 95% CI: -36.15 to 2.16; Site 3: -11.07, 95% CI: -17.39 to 4.74). Team busyness was not consistently associated with DNT across study sites.

CONCLUSIONS

EHR audit log data offers a novel, scalable approach to measure key contextual factors relevant to clinical process outcomes across multiple sites. Audit log-based measures of team experience were associated with better process outcomes for AIS care, suggesting opportunities to study underlying mechanisms and improve care through deliberate training, team-building, and scheduling to maximize team experience.

Effect of Optimized Emergency Care on Treatment Rate and Prognosis of Elderly Patients with Acute Stroke in Emergency Department: A Systematic Review and Meta-Analysis

Objective

This research was to detect the treatment rate and prognosis of elderly patients with acute stroke in emergency department by the optimization of emergency care applying meta-analysis.

Methods

The online databases including PubMed, EMBASE, ScienceDirect, Cochrane Library, China knowledge Network Database (CNKI), China VIP Database, Wanfang Database, and China Biomedical Literature Database (CBM) were searched. The retrieval time limit was set from the establishment of the database to the present. The data were extracted independently by two investigators. The bias of per publication was assessed following Cochrane manual 5.1.0 standard. RevMan5.4 statistical software was used to analyze the collected data by meta.

Results

The 8 randomized controlled trials included in this meta-analysis all reported patients' baseline status. The meta-analysis of the rescue time of the study group and the control group (CH2 = 1507.80, df = 4, P ≤ 0.001, and I2 = 100%) showed that the emergency nursing with optimized emergency procedures can shorten the rescue of elderly acute stroke patients in the emergency department time. There are 6 literatures reporting the case fatality rate (Chi2 = 1.12, df = 5, P = 0.95 > 0.05, and I2 = 0%), and the death rate of the study group was not higher than that of the control group (Z = 4.4 and P < 0.0001). The use of optimized first aid can reduce mortality in elderly patients with acute stroke. Six articles on disability rate reported the heterogeneity of disability rate (CH2 = 2.88, df = 5, P = 0.72 > 0.05, and I2 = 0%), indicating that the disability rate in the study group was lower than that in the control group (Z = 3.91 and P < 0.0001), indicating that emergency nursing by optimizing emergency procedures can reduce the disability rate of elderly stroke patients in emergency department.

Conclusion

Optimizing the emergency care process can effectively improve the emergency rate and prognosis of elderly patients with acute stroke in emergency department; however, further research with higher methodological quality and longer intervention time are needed to verify later.

Effect of pre-hospital early intervention combined with an in-hospital emergency model in the emergency care of patients with acute stroke

OBJECTIVE

This study aimed to explore the effect of pre-hospital early intervention combined with an in-hospital emergency model in the emergency care of patients with acute stroke.

METHODS

Eighty-six patients with acute stroke treated in our hospital between December 2018 and January 2020 were enrolled prospectively and were divided into two groups according to the random number table method, with 43 cases in each group. The control group received conventional emergency mode care, while the study group received pre-hospital early intervention combined with an in-hospital emergency model. The success rate of successful resuscitation (CPR), resuscitation endpoints, complication rates, nursing satisfaction and changes in limb motor function (Fugl-Meyer score) and activity of daily living (ADL score) before and at 3 months after intervention were compared between the two groups.

RESULTS

The total success rate of rescue and nursing satisfaction were higher in the study group (93.02%, 97.77%) than in the control group (74.42%, 79.07%), while the complication rate in the study group (4.65%) was lower than that in the control group (20.93%). Time to resuscitation, time to thrombolytic therapy, time from admission to completion of imaging, and the length of hospital stay were shorter in the study group than in the control group (P<0.05). Compared with pre-intervention, Fugl-Meyer and ADL scores were increased in both groups and were higher in the study group (P<0.05).

CONCLUSION

Pre-hospital early intervention combined with in-hospital emergency model in the first aid of patients with acute stroke can effectively improve the success rate of rescue, shorten the duration of rescue and length of hospital stay, reduce the incidence of complications, increase nursing satisfaction, and improve limb motor function and ADL.

Regional differences in the care and outcomes of acute stroke patients in Australia: an observational study using evidence from the Australian Stroke Clinical Registry (AuSCR)

OBJECTIVE

To compare the processes and outcomes of care in patients who had a stroke treated in urban versus rural hospitals in Australia.

DESIGN

Observational study using data from a multicentre national registry.

SETTING

Data from 50 acute care hospitals in Australia (25 urban, 25 rural) which participated in the Australian Stroke Clinical Registry during the period 2010-2015.

PARTICIPANTS

Patients were divided into two groups (urban, rural) according to the Australian Standard Geographical Classification Remoteness Area classification. Data pertaining to 28 115 patients who had a stroke were analysed, of whom 8159 (29%) were admitted to hospitals located within rural areas.

PRIMARY AND SECONDARY OUTCOME MEASURES

Regional differences in processes of care (admission to a stroke unit, thrombolysis for ischaemic stroke, discharge on antihypertensive medication and provision of a care plan), and survival analyses up to 180 days and health-related quality of life at 90-180 days.

RESULTS

Compared with those admitted to urban hospitals, patients in rural hospitals less often received thrombolysis (urban 12.7% vs rural 7.5%, p<0.001) or received treatment in stroke units (urban 82.2% vs rural 76.5%, p<0.001), and fewer were discharged with a care plan (urban 61.3% vs rural 44.7%, p<0.001). No significant differences were found in terms of survival or overall self-reported quality of life.

CONCLUSIONS

Rural access to recommended components of acute stroke care was comparatively poorer; however, this did not appear to impact health outcomes at approximately 6 months.