Dataset Information

An Economic Assessment Model of Rural and Remote Satellite Hemodialysis Units.

ABSTRACT:

Background

Kidney Failure is epidemic in many remote communities in Canada. In-centre hemodialysis is provided within these settings in satellite hemodialysis units. The key cost drivers of this program have not been fully described. Such information is important in informing the design of programs aimed at optimizing efficiency in providing dialysis and preventative chronic kidney disease care in remote communities.

Design, setting, participants, and measurements

We constructed a cost model based on data derived from 16 of Manitoba, Canada's remote satellite units. We included all costs for operation of the unit, transportation, treatment, and capital costs. All costs were presented in 2013 Canadian dollars.

Results

The annual per-patient cost of providing hemodialysis in the satellite units ranged from $80,372 to $215,918 per patient, per year. The median per patient, per year cost was $99,888 (IQR $89,057-$122,640). Primary cost drivers were capital costs related to construction, human resource expenses, and expenses for return to tertiary care centres for health care. Costs related to transport considerably increased estimates in units that required plane or helicopter transfers.

Conclusions

Satellite hemodialysis units in remote areas are more expensive on a per-patient basis than hospital hemodialysis and satellite hemodialysis available in urban areas. In some rural, remote locations, better value for money may reside in local surveillance and prevention programs in addition support for home dialysis therapies over construction of new satellite hemodialysis units.

SUBMITTER: Ferguson TW

PROVIDER: S-EPMC4540589 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

An Economic Assessment Model of Rural and Remote Satellite Hemodialysis Units.

Ferguson Thomas W TW Zacharias James J Walker Simon R SR Collister David D Rigatto Claudio C Tangri Navdeep N Komenda Paul P

PloS one 20150818 8

<h4>Background</h4>Kidney Failure is epidemic in many remote communities in Canada. In-centre hemodialysis is provided within these settings in satellite hemodialysis units. The key cost drivers of this program have not been fully described. Such information is important in informing the design of programs aimed at optimizing efficiency in providing dialysis and preventative chronic kidney disease care in remote communities.<h4>Design, setting, participants, and measurements</h4>We constructed a ...[more]

PMID: 26284357

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Project description:BackgroundThere is a high prevalence of psychosocial issues affecting patients with kidney failure.ObjectiveWe sought to examine Canadian nephrologists' attitudes and opinions regarding the importance of renal patient psychosocial care, nephrologists' roles, and experience with psychosocial care in addition to what barriers, if any, prevent these physicians from providing psychosocial care to their patients.DesignA self-administered, survey questionnaire.SettingOnline.SampleCanadian Society of Nephrology members who predominantly work in clinical care with adult, in-center hemodialysis patients.MeasurementsMeasurements of the survey include demographics, training, and nephrologists' opinions regarding their role in administering psychosocial care, potential administrative and patient time constraints, accessibility of other health care workers for this activity, and factors that influence or impede physicians' ability to address their patients' psychosocial needs.MethodsA self-administered survey was sent to almost 500 members of the Canadian Society of Nephrology between November 2018 and December 2018. The survey questionnaire was designed to gather opinions and attitudes on psychosocial care delivery as well as potential influencing factors on nephrologists' ability to provide this care. A univariate statistical analysis was used to analyze survey responses.ResultsA total of 30 nephrologists responded to the survey, generating a 6% response rate. Respondents varied across provinces, with the majority being staff nephrologists (80%). While over 94% of respondents either agreed or strongly agreed that focus on psychosocial care improves patient outcomes, only 43% felt that staff nephrologists were suited to provide this care to patients; 97% of respondents believed social workers to be the most suited to provide this. Lack of additional supporting health care members, the need for additional training, too many administrative duties, and empathy fatigue were some of the predominant barriers respondents felt prevented them from addressing the psychosocial care of their patients.LimitationsA low response rate for the survey was obtained, roughly 6%, limiting our ability to draw definitive conclusions. Survey answers by respondents may be different from those by nonrespondents. Answers may be subject to social desirability and/or selection bias.ConclusionNephrologists believe that the current psychosocial care of patients in hemodialysis units is inadequate. However, further research is necessary to elucidate the barriers nephrologists face in providing psychosocial care and the changes required to most effectively implement optimal psychosocial care for patients with kidney failure in hemodialysis units.

Project description:BackgroundTelehealth and teleradiology are increasingly used around the world to facilitate health care provision when the health care provider and clients are separated by distance. The BreastScreen Australia Remote Radiology Assessment Model (RRAM) is an initiative developed to address the challenges of inadequate access to a local radiological workforce in regional Australia. With the growth in telehealth innovations more broadly, the RRAM represents a departure from the traditional onsite model where a radiologist would be co-located with practice staff during assessment clinics. Understanding client satisfaction is an important consideration with new models. This article explores client perceptions of the RRAM including awareness, satisfaction with experiences, confidence in the quality of care being received, and preferences regarding models of service delivery.MethodsClients in four BreastScreen services across three Australian states and territories were invited to provide feedback on their experiences of the RRAM. Brief face-to-face interviews based on a survey were conducted at the conclusion of assessment clinic visits. Clients also provided feedback through surveys completed and returned by post, and online.Results144 clients completed the survey regarding their experiences of the RRAM. The majority were aged between 50 and 59 years (55/144, 38.2%). Most had attended a BreastScreen service for either screening or assessment on a total of two to five occasions (85/142, 59.9%) in the past. Nearly all women who attended a RRAM clinic expressed satisfaction with their experience (142/143, 99.3%). Clients were aware that the radiologist was working from another location (131/143, 91.6%) and the majority believed there wouldn't be any difference in the care they received between the RRAM and the onsite model (120/142, 84.5%). Clients generally had no particular preference for either the onsite or RRAM model of service delivery.ConclusionsClients' high satisfaction with their clinic experiences, high confidence in care being received, and the majority having no preference for either the onsite or remote model indicates their acceptance of the RRAM. Client acceptance of the model supports continuation of the RRAM at these sites and expansion. Findings may inform future telehealth innovations where key health care team members are working remotely.

Project description:BackgroundRates of end-stage kidney disease in Australia are highest in the Northern Territory (NT), with the burden of disease heaviest in remote areas. However, the high cost of delivering dialysis services in remote areas has resulted in centralisation, requiring many people to relocate for treatment. Patients argue that treatment closer to home improves health outcomes and reduces downstream healthcare use. Existing dialysis cost studies have not compared total health care costs associated with treatment in different locations.ObjectiveTo estimate and compare, from a payer perspective, the observed health service costs (all cause hospital admissions, emergency department presentations and maintenance dialysis) associated with different dialysis models in urban, rural and remote locations.MethodsUsing cost weights attributed to diagnostic codes in the NT Department of Health's hospital admission data set (2008-2014), we calculated the mean (SD) total annual health service costs by dialysis model for 995 dialysis patients. Generalized linear modeling with bootstrapping tested the marginal cost differences between different explanatory variables to estimate 'best casemix'/'worst casemix' cost scenarios.ResultsThe mean annual patient hospital expenditure was highest for urban models at $97 928 (SD $21 261) and $43 440 (SD $5 048) and lowest for remote at $19 584 (SD $4 394). When combined with the observed maintenance dialysis costs, expenditure was the highest for urban models at $148 510 (SD $19 774). The incremental cost increase of dialysing in an urban area, compared with a rural area, for a relocated person from a remote area, was $5 648 more and increased further for those from remote and very remote areas to $10 785 and $15 118 respectively.ConclusionsThis study demonstrates that dialysis treatment in urban areas for relocated people has health and cost implications that maybe greater than the cost of remote service delivery. The study emphasises the importance of considering all health service costs and cost consequences of service delivery models.Key points for decision makersRelocation for dialysis treatment has serious health and economic consequences. Relocated people have low dialysis attendance and high hospital costs in urban areas. While remote dialysis service models are more expensive than urban models, the comparative cost differences are significantly reduced when all health service costs are included. The delivery of equitable and accessible dialysis service models requires a holistic approach that incorporates the needs of the patient; hence dialysis cost studies must consider the full range of cost impacts beyond the dialysis treatments alone.

Project description:BackgroundQuality surveillance data used to build tuberculosis (TB) transmission models are frequently unavailable and may overlook community intrinsic dynamics that impact TB transmission. Social network analysis (SNA) generates data on hyperlocal social-demographic structures that contribute to disease transmission.MethodsWe collected social contact data in five villages and built SNA-informed village-specific stochastic TB transmission models in remote Madagascar. A name-generator approach was used to elicit individual contact networks. Recruitment included confirmed TB patients, followed by snowball sampling of named contacts. Egocentric network data were aggregated into village-level networks. Network- and individual-level characteristics determining contact formation and structure were identified by fitting an exponential random graph model (ERGM), which formed the basis of the contact structure and model dynamics. Models were calibrated and used to evaluate WHO-recommended interventions and community resiliency to foreign TB introduction.ResultsInter- and intra-village SNA showed variable degrees of interconnectivity, with transitivity (individual clustering) values of 0.16, 0.29, and 0.43. Active case finding and treatment yielded 67%-79% reduction in active TB disease prevalence and a 75% reduction in TB mortality in all village networks. Following hypothetical TB elimination and without specific interventions, networks A and B showed resilience to both active and latent TB reintroduction, while Network C, the village network with the highest transitivity, lacked resiliency to reintroduction and generated a TB prevalence of 2% and a TB mortality rate of 7.3% after introduction of one new contagious infection post hypothetical elimination.ConclusionIn remote Madagascar, SNA-informed models suggest that WHO-recommended interventions reduce TB disease (active TB) prevalence and mortality while TB infection (latent TB) burden remains high. Communities' resiliency to TB introduction decreases as their interconnectivity increases. "Top down" population level TB models would most likely miss this difference between small communities. SNA bridges large-scale population-based and hyper focused community-level TB modeling.

Dataset Information

An Economic Assessment Model of Rural and Remote Satellite Hemodialysis Units.

Background

Design, setting, participants, and measurements

Results

Conclusions

Publications

An Economic Assessment Model of Rural and Remote Satellite Hemodialysis Units.

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