Understanding the low take-up of home-based dialysis through a shared decision-making lens: a qualitative study

What are the factors that determine treatment choices in patients with kidney failure: a retrospective cohort study using data linkage of routinely collected data in Wales

OBJECTIVES

To identify the factors that determine treatment choices following pre-dialysis education.

DESIGN

Retrospective cohort study using data linkage with univariate and multivariate analyses using linked data.

SETTING

Secondary care National Health Service Wales healthcare system.

PARTICIPANTS

All people in Wales over 18 years diagnosed with established kidney disease, who received pre-dialysis education between 1 January 2016 and 12 December 2018.

MAIN OUTCOME MEASURES

Patient choice of dialysis modality and any kidney replacement therapy started.

RESULTS

Mean age was 67 years; n=1207 (60%) were male, n=878 (53%) had ≥3 comorbidities, n=805 (66%) had mobility problems, n=700 (57%) had pain symptoms, n=641 (52%) had anxiety or were depressed, n=1052 (61.6%) lived less than 30 min from their treatment centre, n=619 (50%) were on a spectrum of frail to extremely vulnerable. n=424 (25%) chose home dialysis, n=552 (32%) chose hospital-based dialysis, n=109 (6%) chose transplantation, n=231 (14%) chose maximum conservative management and n=391 (23%) were 'undecided'. Main reasons for not choosing home dialysis were lack of motivation/low confidence in capacity to self-administer treatment, lack of home support and unsuitable housing. Patients who choose home dialysis were younger, had lower comorbidities, lower frailty and higher quality of life scores. Multivariate analysis found that age and frailty were predictors of choice, but we did not find any other demographic associations. Of patients who initially chose home dialysis, only n=150 (54%) started on home dialysis.

CONCLUSION

There is room for improvement in current pre-dialysis treatment pathways. Many patients remain undecided about dialysis choice, and others who may have chosen home dialysis are still likely to start on unit haemodialysis.

A scoping review into the explanations for differences in the degrees of shared decision making experienced by patients

OBJECTIVES

In order to improve the degree of shared decision making (SDM) experienced by patients, it is necessary to gain insight into the explanations for the differences in these degrees.

METHODS

A scoping review of the literature on the explanations for differences in the degree of SDM experienced by patients was conducted. We assessed 21,329 references. Ultimately, 308 studies were included. The explanations were divided into micro, meso, and macro levels.

RESULTS

The explanations are mainly related to the micro level. They include explanations related to the patient and healthcare professionals, the relationship between the patient and the physician, and the involvement of the patient's relatives. On the macro level, explanations are related to restrictions within the healthcare system such as time constraints, and adequate information about treatment options. On the meso level, explanations are related to the continuity of care and the involvement of other healthcare professionals.

CONCLUSIONS

SDM is not an isolated process between the physician and patient. Explanations are connected to the macro, meso, and micro levels.

PRACTICE IMPLICATIONS

This scoping review suggests that there could be more focus on explanations related to the macro and meso levels, and on how explanations at different levels are interrelated.

Current costs of dialysis modalities: A comprehensive analysis within the United Kingdom

Background:

Previous evidence suggests home-based dialysis to be more cost-effective than unit-based or hospital-based dialysis. However, previous analyses to quantify the costs of different dialysis modalities have used varied perspectives, different methods, and required assumptions due to lack of available data. The National Institute for Health and Care Excellence reports uncertainty about the differences in costs between home-based and unit-based dialysis. This uncertainty limits the ability of policy makers to make recommendations based on cost effectiveness, which also impacts on the ability of budget holders to model the impact of any service redesign and to understand which therapies deliver better value. The aim of our study was to use a combination of top-down and bottom-up costing methods to determine the direct medical costs of different dialysis modalities in one UK nation (Wales) from the perspective of the National Health Service (NHS).

Methods:

Detailed hybrid top-down and bottom-up micro-costing methods were applied to estimate the direct medical costs of dialysis modalities across Wales. Micro-costing data was obtained from commissioners of the service and from interviews with renal consultants, nurses, accountants, managers and allied health professionals. Top-down costing information was obtained from the Welsh Renal Clinical Network (who commission renal services across Wales) and the Welsh Ambulance Service Trust.

Results:

The annual direct cost per patient for home-based modalities was £16,395 for continuous ambulatory peritoneal dialysis (CAPD), £20,295 for automated peritoneal dialysis (APD) and £23,403 for home-based haemodialysis (HHD). The annual cost per patient for unit-based modalities depended on whether or not patients required ambulance transport. Excluding transport, the cost of dialysis was £19,990 for satellite units run in partnership with independent sector providers and £23,737 for hospital units managed and staffed by the NHS. When ambulance transport was included, the respective costs were £28,931 and £32,678, respectively.

Conclusion:

Our study is the most comprehensive analysis of the costs of dialysis undertaken thus far in the United Kingdom and clearly demonstrate that CAPD is less costly than other dialysis modalities. When ambulance transport costs are included, other home therapies (APD and HHD) are also less costly than unit-based dialysis. This detailed analysis of the components that contribute to dialysis costs will help inform future cost-effectiveness studies, inform healthcare policy and drive service redesign.