Dataset Information

Understanding the impact of haemodialysis on UK National Health Service patients' well-being: A qualitative investigation.

ABSTRACT:

Aims and objectives

While haemodialysis is an effective treatment for end-stage renal disease, the requirements and restrictions it imposes on patients can be onerous. The aim of this study was to obtain UK National Health Service patients' perspectives on the challenges arising from haemodialysis with the intention of identifying potential improvements.

Background

Depression rates are particularly high in those with end-stage renal disease; however, there is limited insight into the range of stressors associated with haemodialysis treatment within the National Health Service contributing to such high rates, particularly those of a cognitive or psychological nature.

Design

A qualitative approach was used to obtain rich, patient-focused data; one-to-one semi-structured interviews were conducted with twenty end-stage renal disease at a UK National Health Service centre.

Methods

Patients were interviewed during a typical haemodialysis session. Thematic analysis was used to systematically interpret the data. Codes were created in an inductive and cyclical process using a constant comparative approach.

Results

Three themes emerged from the data: (i) fluctuations in cognitive/physical well-being across the haemodialysis cycle, (ii) restrictions arising from the haemodialysis treatment schedule, (iii) emotional impact of haemodialysis on the self and others. The findings are limited to predominantly white, older patients (median = 74 years) within a National Health Service setting.

Conclusions

Several of the experiences reported by patients as challenging and distressing have so far been overlooked in the literature. A holistic-based approach to treatment, acknowledging all aspects of a patient's well-being, is essential if optimal quality of life is to be achieved by healthcare providers.

Relevance to clinical practice

The findings can be used to inform future interventions and guidelines aimed at improving patients' treatment adherence and outcomes, for example, improved reliable access to mental health specialists.

SUBMITTER: Jones DJ

PROVIDER: S-EPMC6853155 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Understanding the impact of haemodialysis on UK National Health Service patients' well-being: A qualitative investigation.

Jones Daniel Jw DJ Harvey Kate K Harris John P JP Butler Laurie T LT Vaux Emma C EC

Journal of clinical nursing 20170703 1-2

<h4>Aims and objectives</h4>While haemodialysis is an effective treatment for end-stage renal disease, the requirements and restrictions it imposes on patients can be onerous. The aim of this study was to obtain UK National Health Service patients' perspectives on the challenges arising from haemodialysis with the intention of identifying potential improvements.<h4>Background</h4>Depression rates are particularly high in those with end-stage renal disease; however, there is limited insight into ...[more]

PMID: 28498615

Similar Datasets

Project description:Background: Lower socioeconomic groups and disadvantaged populations across the world suffer disproportionately from the coronavirus disease 2019 (COVID-19) pandemic. This study aimed to examine the impact of health- and social-inequality-related factors on well-being in order to further distinguish each of their effects during the pandemic. Methods: A nationally-representative sample of 5077 UK respondents aged 18 years or older was recruited through an online survey panel during the COVID-19 pandemic. Their subjective well-being was measured using the 11-point Cantril Ladder of Life Scale. The impact of inequality-related health and social factors (pre-existing medical conditions, household size and occupation), as well as COVID-19-related risk factors (symptoms, confirmed infections, and social distancing behaviours) on well-being were analysed using multiple linear regression models. The associations between the COVID-19-related risk factors and well-being according to the respondents' household size and occupation were modelled in order to test the differences by their socioeconomic profile. Results: We identified inverted V-shaped associations between household size and subjective well-being during the COVID-19 pandemic. Compared to single-person households, respondents from households of two to four persons showed better well-being (β = 0.57; CI (0.44, 0.72)), whereas living in crowded households of five persons or more was associated with decreased well-being (β = -0.48; CI (-0.71, -0.25)). Furthermore, lower-skilled occupations (elementary occupations: β = -0.31; CI (-0.58, -0.03); logistics and transport services: β = -0.37; CI (-0.74, -0.01)) and chronic medical conditions (cardiometabolic or respiratory diseases: β = -0.25; CI (-0.41, -0.1); and mental health conditions: β = -1.12; CI (-1.28, -0.96)) were factors associated with reduced well-being during the pandemic. Interactions between a positive COVID-19 diagnosis, symptoms, and crowded households were identified (β = -0.95; CI (-1.76, -0.14) and β = -4.74; CI (-9.87, -1.61), respectively). Conclusions: In a national sample, the levels of general subjective well-being during the COVID-19 pandemic and lockdowns were disproportionately distributed across different groups within society. Preventive policies should explicitly focus on reaching lower socioeconomic groups; more emphasis should be placed on the coordination of multisectoral support in order to tackle existing health and social inequalities.

Dataset Information

Understanding the impact of haemodialysis on UK National Health Service patients' well-being: A qualitative investigation.

Aims and objectives

Background

Design

Methods

Results

Conclusions

Relevance to clinical practice

Publications

Understanding the impact of haemodialysis on UK National Health Service patients' well-being: A qualitative investigation.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets