Translating and Transforming Care: People With Brain Injury and Caregivers Filling in a Disability Claim Form

An exploratory study on support for caregivers of people with vision impairment in the UK

Purpose

Many of the UK's 2.5 million individuals living with vision loss receive support from relatives or friends (so‐called ‘informal caregivers’). However, there is limited understanding of how caregivers of people with visual impairment (PVI) are, or feel, supported by UK healthcare/statutory services and charities. This exploratory study was conducted to explore caregivers' experiences and their suggestions for enhancing support.

Methods

Participants self‐identifying as UK‐based caregivers of PVI (N = 100) volunteered to undertake an online survey, distributed through charity partners. The survey was comprised of the Client Satisfaction Questionnaire‐8 (CSQ‐8, a validated, self‐report measure of satisfaction with support services), Likert‐type questions and two open‐ended, free‐text questions. Interview participants (N = 22) were then selected from survey respondents, and semi‐structured interviews were conducted to focus on caregivers' ideas for improving support. The Framework Method was used for inductive analysis of the free‐text question responses and interview data.

Results

The mean (SD) CSQ‐8 score was 21.60 (7.2), with no significant differences by demographic, relationship or vision‐related factors, likely limited by the small subgroup sizes. Qualitative data demonstrated the heterogeneity of participating caregivers' experiences, highlighting the importance of personalised support for caregivers. Many participants advocated enhancing informational, practical, emotional and social support for caregivers, and stressed the importance of accessible services and consistent points of contact to turn to for support and advice.

Conclusions

Although our sample was arguably better connected to support services than the general caregiver population, this study identified concrete suggestions to improve practical, emotional and peer support for caregivers of PVI.

Natural changes of traumatic vertebral compression fractures during the first 6 months in patients visiting for disability certificates: A retrospective observational study

To identify the natural changes of traumatic vertebral compression fractures during the first six months in patients visiting for disability certificates after conservative treatment.Data of patients who visited the rehabilitation medicine department of a university hospital for disability certificates concerning traumatic vertebral compression fractures from 2015 to 2018 were reviewed. Those who visited 180 to 210 days after injuries were included, and those who received invasive procedures for compression fractures were excluded. The anterior and posterior heights, local kyphotic angle of compression fractures, and upper and lower vertebrae on initial and follow-up images were measured and compared. Compression ratio was calculated by vertebral body compression ratio and anterior vertebral body compression percentage. Thoracic and lumbar traumatic fractures were also compared.Among 110 patients, 61 patients met the criteria. After six months, the anterior height of compression fractures decreased more than 4 mm, which implies the development of new compression fractures. The compression ratio and local kyphotic angle increased significantly without affecting the upper and lower vertebrae. Thoracic and lumbar compression fractures showed similar changes.Traumatic vertebral compression fractures change significantly during the first six months. This study could warrant 6 months of waiting for issuance of disability certificates for patients with traumatic vertebral compression fractures.

The Healthcare Complaints Analysis Tool: development and reliability testing of a method for service monitoring and organisational learning

BACKGROUND

Letters of complaint written by patients and their advocates reporting poor healthcare experiences represent an under-used data source. The lack of a method for extracting reliable data from these heterogeneous letters hinders their use for monitoring and learning. To address this gap, we report on the development and reliability testing of the Healthcare Complaints Analysis Tool (HCAT).

METHODS

HCAT was developed from a taxonomy of healthcare complaints reported in a previously published systematic review. It introduces the novel idea that complaints should be analysed in terms of severity. Recruiting three groups of educated lay participants (n=58, n=58, n=55), we refined the taxonomy through three iterations of discriminant content validity testing. We then supplemented this refined taxonomy with explicit coding procedures for seven problem categories (each with four levels of severity), stage of care and harm. These combined elements were further refined through iterative coding of a UK national sample of healthcare complaints (n= 25, n=80, n=137, n=839). To assess reliability and accuracy for the resultant tool, 14 educated lay participants coded a referent sample of 125 healthcare complaints.

RESULTS

The seven HCAT problem categories (quality, safety, environment, institutional processes, listening, communication, and respect and patient rights) were found to be conceptually distinct. On average, raters identified 1.94 problems (SD=0.26) per complaint letter. Coders exhibited substantial reliability in identifying problems at four levels of severity; moderate and substantial reliability in identifying stages of care (except for 'discharge/transfer' that was only fairly reliable) and substantial reliability in identifying overall harm.

CONCLUSIONS

HCAT is not only the first reliable tool for coding complaints, it is the first tool to measure the severity of complaints. It facilitates service monitoring and organisational learning and it enables future research examining whether healthcare complaints are a leading indicator of poor service outcomes. HCAT is freely available to download and use.

The Healthcare Complaints Analysis Tool: development and reliability testing of a method for service monitoring and organisational learning

Background

Letters of complaint written by patients and their advocates reporting poor healthcare experiences represent an under-used data source. The lack of a method for extracting reliable data from these heterogeneous letters hinders their use for monitoring and learning. To address this gap, we report on the development and reliability testing of the Healthcare Complaints Analysis Tool (HCAT).

Methods

HCAT was developed from a taxonomy of healthcare complaints reported in a previously published systematic review. It introduces the novel idea that complaints should be analysed in terms of severity. Recruiting three groups of educated lay participants (n=58, n=58, n=55), we refined the taxonomy through three iterations of discriminant content validity testing. We then supplemented this refined taxonomy with explicit coding procedures for seven problem categories (each with four levels of severity), stage of care and harm. These combined elements were further refined through iterative coding of a UK national sample of healthcare complaints (n= 25, n=80, n=137, n=839). To assess reliability and accuracy for the resultant tool, 14 educated lay participants coded a referent sample of 125 healthcare complaints.

Results

The seven HCAT problem categories (quality, safety, environment, institutional processes, listening, communication, and respect and patient rights) were found to be conceptually distinct. On average, raters identified 1.94 problems (SD=0.26) per complaint letter. Coders exhibited substantial reliability in identifying problems at four levels of severity; moderate and substantial reliability in identifying stages of care (except for ‘discharge/transfer’ that was only fairly reliable) and substantial reliability in identifying overall harm.

Conclusions

HCAT is not only the first reliable tool for coding complaints, it is the first tool to measure the severity of complaints. It facilitates service monitoring and organisational learning and it enables future research examining whether healthcare complaints are a leading indicator of poor service outcomes. HCAT is freely available to download and use.