Suggesting global insights to local challenges: expanding financing of rehabilitation services in low and middle-income countries

Purpose

Following the rapid transition to non-communicable diseases, increases in injury, and subsequent disability, the world-especially low and middle-income countries (LMICs)-remains ill-equipped for increased demand for rehabilitative services and assistive technology. This scoping review explores rehabilitation financing models used throughout the world and identifies "state of the art" rehabilitation financing strategies to identify opportunities and challenges to expand financing of rehabilitation.

Material and methods

We searched peer-reviewed and grey literature for articles containing information on rehabilitation financing in both LMICs and high-income countries.

Results

Forty-two articles were included, highlighting various rehabilitation financing mechanism which involves user fees and other innovative payment as bundled or pooled schemes. Few studies explore policy options to increase investment in the supply of services.

Conclusion

this paper highlights opportunities to expand rehabilitation services, namely through promotion of private investment, improvement in provider reimbursement mechanism as well as expanding educational grants to bolster labor supply incentive, and the investment in public and private insurance schemes. Mechanisms of reimbursement are frequently based on global budget and salary which are helpful to control cost escalation but represent important barriers to expand supply and quality of services.

Hip fractures in the older adult: orthopaedic and geriatric shared care model in Southland, New Zealand-a 5-year follow-up study

BACKGROUND

Neck of femur fractures are common with associated high morbidity and mortality rates. National standards include provision of orthogeriatric care to any patient with a hip fracture. This study assessed the outcomes at 5 years following implementation of a collaborative orthogeriatric service at Southland Hospital in 2012.

METHODS

Retrospective data were collected for patients aged 65 years and older admitted with a fragility hip fracture. Data were collated for 2011 (preimplementation) and 2017 (postimplementation). Demographic data and American Society of Anesthesiologists (ASA) scores were recorded to ensure comparability of the patient groups. Length of stay, postoperative complications and 30-day and 1-year mortality were assessed.

RESULTS

74 admissions with mean age at surgery of 84.2 years in 2011 and 107 admissions with mean age of 82.6 years in 2017. There was a higher proportion of ASA 2 and ASA 3 patients in 2017 compared with 2011 (p=0.036). The median length of stay in the orthopaedic ward was unchanged in the two cohorts but there was a shorter median length of stay by 6.5 days and mean length of stay by 11 days in 2017 in the rehabilitation ward (p<0.001 for both median and mean). Through logistic regression controlling for age, sex and ASA score, there was a reduction in the odds of having a complication by 12% (p<0.001). The study was too small to undertake statistical testing to calculate significant difference in overall 30-day and 1-year mortality between the groups.

CONCLUSION

The orthogeriatric service has reduced the frequency of complications and length of stay on the rehabilitation ward 5 years following implementation.

Inpatient Geriatric Rehabilitation: Definitions and Appropriate Admission Criteria, as Established by Maltese National Experts

(1) Background: The importance of having an appropriate admissions system for geriatric rehabilitation is on the increase. However, the process of admitting patients to inpatient rehabilitation is a complex process. This is yet to be standardised across the European Union, as the approach to geriatric rehabilitation tends to vary from one Member State to another. (2) Objective: To discuss evidence-based practice with clinical experts, in order to define geriatric rehabilitation and admission criteria based on the Maltese population. (3) Method: The study entailed conducting four panel sessions using a purposive sample of thirteen local clinicians with extensive knowledge in clinical rehabilitation and healthcare management. A total of 48 items, based on the literature and clinical experience, were presented to the panel. Data analysis was done quantitatively and qualitatively, using IBM SPSS Statistics Version 24 and thematic analysis. (4) Results: The panel formulated a definition of rehabilitation, which shared common elements with the definition provided by the World Health Organization (WHO) and other sources/literature. The panel agreed on a list of eight criteria for appropriate inpatient geriatric rehabilitation admission in Malta. Consensus was also reached on: the need for a consultant-led multidisciplinary approach to assessment; the adoption of a standardised assessment processes for an equitable chance for all older adults assessed; the benefit of digital health in assessments; and the consideration that most patients would have some form of rehabilitation potential, depending on availability of resources. (5) Conclusion: Inpatient geriatric rehabilitation hospitals should have a unified strategy for rehabilitation services. The conclusions reached by the panel, could be useful in supporting the clinical evidence and establishing future rehabilitation guidelines and standards for inpatient rehabilitation.

How to become a strategic purchaser of rehabilitation services

Rehabilitative care is often overlooked and underfunded despite being a key component of universal health coverage, and now faces further neglect due to indirect impacts of the coronavirus disease 2019 pandemic. Policy-makers can leverage strategic purchasing approaches to make the most of available funds and maximize health gains. To implement more strategic purchasing of rehabilitation, health planners must: (i) develop and prioritize evidence-based rehabilitation service packages; (ii) use fit-for-purpose contracting and provider payment mechanisms to incentivize quality and efficient service delivery; and (iii) strengthen stewardship. This paper examines these three policy priorities by analysing their associated processes, actors and resources based on country experiences. Policy-makers will likely face several obstacles in operationalizing these policy priorities, including: inadequate accountability and coordination among sectors; limited data and research; undefined and non-standardized rehabilitation services, costs and outcomes; and inadequate availability of rehabilitative care. To overcome challenges and institute optimal strategic purchasing practices for rehabilitation, we recommend that policy-makers strengthen health sector stewardship and establish a framework for multisectoral collaboration, invest in data and research and make use of available experience from high-income settings, while creating a body of evidence from low- and middle-income settings.

Research on the Current Situation and Countermeasures of Inpatient Cost and Medical Insurance Payment Method for Rehabilitation Services in City

Objective

This study aimed to introduce bed-day payment for rehabilitation services in City S, China, and analyze the cost of inpatient rehabilitation services. Key issues were defined and relevant countermeasures were discussed.

Methods

The data about the rehabilitation cost of 3,828 inpatient patients from June 2018 to December 2019 was used. Descriptive statistics and the Kruskal–Wallis test were employed to describe sample characteristics and clarify the comparity of cost and length of stay (LOS) across different groups. After normalizing the distribution of cost and LOS by Box–Cox transformation, multiple linear regression was used to explore the factors influencing cost and LOS by calculating the variance inflation factor (VIF) to identify multicollinearity. Finally, 20 senior and middle management personnel of the hospitals were interviewed through a semi-structured interview method to further figure out the existing problems and countermeasures.

Results

(1) During 2015–2019: both discharges and the cost of rehabilitation hospitalization in City S rose rapidly. (2) The highest number of discharges were for circulatory system diseases (57.65%). Endocrine, nutritional, and metabolic diseases were noted to have the longest average length of stay (ALOS) reaching 105.8 days. The shortest ALOS was found to be 24.2 days from the diseases of the musculoskeletal system and connective tissue. Neurological, circulatory, urological, psychiatric, infectious, and parasitic diseases were observed to be generally more costly. (3) The cost of rehabilitation was determined to mainly consist of the rehabilitation fee (23.63%), comprehensive medical service fee (22.61%), and treatment fee (19.03%). (4) Type of disease, age, nature of the hospital, and grade of the hospital have significant influences both on cost and LOS (P < 0.05). The most critical factor affecting the cost was found to be the length of stay (standardized coefficient = 0.777). (5) The key issues of City S's rehabilitative services system were identified to be the incomplete criteria, imperfections in the payment system, and the fragmentation of services.

Conclusions

Bed-day payment is the main payment method for rehabilitation services, but there is a conflict between rapidly rising costs and increasing demand for rehabilitation. The main factors affecting the cost include the length of stay, type of disease, the grade of the hospital, etc. Lack of criteria, imperfections in the payment system, and the fragmentation of services limit sustainability. The core approach is to establish a three-tier rehabilitative network and innovate the current payment system.

Challenges and Adverse Outcomes of Implementing Reimbursement Mechanisms Based on the Diagnosis-Related Group Classification System: A systematic review

In health insurance, a reimbursement mechanism refers to a method of third-party repayment to offset the use of medical services and equipment. This systematic review aimed to identify challenges and adverse outcomes generated by the implementation of reimbursement mechanisms based on the diagnosis-related group (DRG) classification system. All articles published between 1983 and 2017 and indexed in various databases were reviewed. Of the 1,475 articles identified, 36 were relevant and were included in the analysis. Overall, the most frequent challenges were increased costs (especially for severe diseases and specialised services), a lack of adequate supervision and technical infrastructure and the complexity of the method. Adverse outcomes included reduced length of patient stay, early patient discharge, decreased admissions, increased re-admissions and reduced services. Moreover, DRG-based reimbursement mechanisms often resulted in the referral of patients to other institutions, thus transferring costs to other sectors.

Appropriateness of admission to rehabilitation: definition of a set of criteria and rules through the application of the Delphi method

BACKGROUND

Controlling inappropriateness of care is an essential issue, especially in rehabilitation medicine. In fact, admitting a patient to a rehabilitation hospital or unit is a complex decision also due to the absence of shared and objective admission criteria.

AIM

The aim was to define clinical admission criteria and rules in rehabilitation medicine.

DESIGN

Survey based on the application of the Delphi method on a sample of rehabilitation medicine experts.

SETTING

Administration of electronic online questionnaires concerning appropriateness of admission to intensive rehabilitation.

POPULATION

Volunteer sample of 53 experts with the following inclusion criteria: being members of the Italian Society of Physical and Rehabilitation Medicine, having practical experience in the research field, agreeing to the confidentiality of the information and being skilled in both rehabilitation and healthcare organization.

METHODS

A three-round Delphi survey was conducted according to international guidelines. The two initial rounds consisted of an electronic online questionnaire while in the third one a report of the results was provided to the participants. The experts had to score their agreement with each item in the questionnaires, based on either a Likert scale or a dichotomous statement. Consensus between the experts was assessed.

RESULTS

A total of 53 health professionals completed the Delphi survey. 19 out of 20 Italian regions were represented. The first round consisted of 8 multiple-choice questions. The second round was designed according to the suggestions provided by the panelists in the previous one and consisted of a twelve items questionnaire. At the end of the survey, seven criteria of appropriateness of admission to rehabilitation were identified and five rules defining an appropriate admission to a rehabilitation facility were elaborated.

CONCLUSIONS

This study represents an attempt to create a worthwhile and reliable tool for a more conscious clinical practice in admission to rehabilitation, based on a set of shared criteria and rules.

CLINICAL REHABILITATION IMPACT

To increase appropriateness of admission to rehabilitation. Improving appropriateness in healthcare delivery must be a primary goal in order to improve healthcare quality, save money and ensure system sustainability.

A framework for complexity in palliative care: A qualitative study with patients, family carers and professionals

Background:

Palliative care patients are often described as complex but evidence on complexity is limited. We need to understand complexity, including at individual patient-level, to define specialist palliative care, characterise palliative care populations and meaningfully compare interventions/outcomes.

Aim:

To explore palliative care stakeholders’ views on what makes a patient more or less complex and insights on capturing complexity at patient-level.

Design:

In-depth qualitative interviews, analysed using Framework analysis.

Participants/setting:

Semi-structured interviews across six UK centres with patients, family, professionals, managers and senior leads, purposively sampled by experience, background, location and setting (hospital, hospice and community).

Results:

65 participants provided an understanding of complexity, which extended far beyond the commonly used physical, psychological, social and spiritual domains. Complexity included how patients interact with family/professionals, how services’ respond to needs and societal perspectives on care. ‘Pre-existing’, ‘cumulative’ and ‘invisible’ complexity are further important dimensions to delivering effective palliative and end-of-life care. The dynamic nature of illness and needs over time was also profoundly influential. Adapting Bronfenbrenner’s Ecological Systems Theory, we categorised findings into the microsystem (person, needs and characteristics), chronosystem (dynamic influences of time), mesosystem (interactions with family/health professionals), exosystem (palliative care services/systems) and macrosystem (societal influences). Stakeholders found it acceptable to capture complexity at the patient-level, with perceived benefits for improving palliative care resource allocation.

Conclusion:

Our conceptual framework encompasses additional elements beyond physical, psychological, social and spiritual domains and advances systematic understanding of complexity within the context of palliative care. This framework helps capture patient-level complexity and target resource provision in specialist palliative care.

Hospital financing of ischaemic stroke: determinants of funding and usefulness of DRG subcategories based on severity of illness

Background

Several Western and Arab countries, as well as over 30 States in the US are using the “All-Patient Refined Diagnosis-Related Groups” (APR-DRGs) with four severity-of-illness (SOI) subcategories as a model for hospital funding. The aim of this study is to verify whether this is an adequate model for funding stroke hospital admissions, and to explore which risk factors and complications may influence the amount of funding.

Methods

A bottom-up analysis of 2496 ischaemic stroke admissions in Belgium compares detailed in-hospital resource use (including length of stay, imaging, lab tests, visits and drugs) per SOI category and calculates total hospitalisation costs. A second analysis examines the relationship between the type and location of the index stroke, medical risk factors, patient characteristics, comorbidities and in-hospital complications on the one hand, and the funding level received by the hospital on the other hand. This dataset included 2513 hospitalisations reporting on 35,195 secondary diagnosis codes, all medically coded with the International Classification of Disease (ICD-9).

Results

Total costs per admission increased by SOI (€3710–€16,735), with severe patients costing proportionally more in bed days (86%), and milder patients costing more in medical imaging (24%). In all resource categories (bed days, medications, visits and imaging and laboratory tests), the absolute utilisation rate was higher among severe patients, but also showed more variability.

SOI 1–2 was associated with vague, non-specific stroke-related ICD-9 codes as primary diagnosis (71–81% of hospitalisations). 24% hospitalisations had, in addition to the primary diagnosis, other stroke-related codes as secondary diagnoses. Presence of lung infections, intracranial bleeding, severe kidney disease, and do-not-resuscitate status were each associated with extreme SOI (p < 0.0001).

Conclusions

APR-DRG with SOI subclassification is a useful funding model as it clusters stroke patients in homogenous groups in terms of resource use. The data on medical care utilisation can be used with unit costs from other countries with similar healthcare set-ups to 1) assess stroke-related hospital funding versus actual costs; 2) inform economic models on stroke prevention and treatment. The data on diagnosis codes can be used to 3) understand which factors influence hospital funding; 4) raise awareness about medical coding practices.

Electronic supplementary material

The online version of this article (10.1186/s12913-018-3134-6) contains supplementary material, which is available to authorized users.

Development and validation of a casemix classification to predict costs of specialist palliative care provision across inpatient hospice, hospital and community settings in the UK: a study protocol

INTRODUCTION

Provision of palliative care is inequitable with wide variations across conditions and settings in the UK. Lack of a standard way to classify by case complexity is one of the principle obstacles to addressing this. We aim to develop and validate a casemix classification to support the prediction of costs of specialist palliative care provision.

METHODS AND ANALYSIS

Phase I: A cohort study to determine the variables and potential classes to be included in a casemix classification. Data are collected from clinicians in palliative care services across inpatient hospice, hospital and community settings on: patient demographics, potential complexity/casemix criteria and patient-level resource use. Cost predictors are derived using multivariate regression and then incorporated into a classification using classification and regression trees. Internal validation will be conducted by bootstrapping to quantify any optimism in the predictive performance (calibration and discrimination) of the developed classification. Phase II: A mixed-methods cohort study across settings for external validation of the classification developed in phase I. Patient and family caregiver data will be collected longitudinally on demographics, potential complexity/casemix criteria and patient-level resource use. This will be triangulated with data collected from clinicians on potential complexity/casemix criteria and patient-level resource use, and with qualitative interviews with patients and caregivers about care provision across difference settings. The classification will be refined on the basis of its performance in the validation data set.

ETHICS AND DISSEMINATION

The study has been approved by the National Health Service Health Research Authority Research Ethics Committee. The results are expected to be disseminated in 2018 through papers for publication in major palliative care journals; policy briefs for clinicians, commissioning leads and policy makers; and lay summaries for patients and public.

TRIAL REGISTRATION NUMBER

ISRCTN90752212.

Phase of Illness in palliative care: Cross-sectional analysis of clinical data from community, hospital and hospice patients

BACKGROUND

Phase of Illness describes stages of advanced illness according to care needs of the individual, family and suitability of care plan. There is limited evidence on its association with other measures of symptoms, and health-related needs, in palliative care.

AIMS

The aims of the study are as follows. (1) Describe function, pain, other physical problems, psycho-spiritual problems and family and carer support needs by Phase of Illness. (2) Consider strength of associations between these measures and Phase of Illness.

DESIGN AND SETTING

Secondary analysis of patient-level data; a total of 1317 patients in three settings. Function measured using Australia-modified Karnofsky Performance Scale. Pain, other physical problems, psycho-spiritual problems and family and carer support needs measured using items on Palliative Care Problem Severity Scale.

RESULTS

Australia-modified Karnofsky Performance Scale and Palliative Care Problem Severity Scale items varied significantly by Phase of Illness. Mean function was highest in stable phase (65.9, 95% confidence interval = 63.4-68.3) and lowest in dying phase (16.6, 95% confidence interval = 15.3-17.8). Mean pain was highest in unstable phase (1.43, 95% confidence interval = 1.36-1.51). Multinomial regression: psycho-spiritual problems were not associated with Phase of Illness ( χ² = 2.940, df = 3, p = 0.401). Family and carer support needs were greater in deteriorating phase than unstable phase (odds ratio (deteriorating vs unstable) = 1.23, 95% confidence interval = 1.01-1.49). Forty-nine percent of the variance in Phase of Illness is explained by Australia-modified Karnofsky Performance Scale and Palliative Care Problem Severity Scale.

CONCLUSION

Phase of Illness has value as a clinical measure of overall palliative need, capturing additional information beyond Australia-modified Karnofsky Performance Scale and Palliative Care Problem Severity Scale. Lack of significant association between psycho-spiritual problems and Phase of Illness warrants further investigation.

Assessment of primary rehabilitation needs in neurological rehabilitation: translation, adaptation and face validity of the Danish version of Rehabilitation Complexity Scale-Extended

BACKGROUND

Assessing primary rehabilitation needs in patients with acquired brain injury is a challenge due to case complexity and the heterogeneity of symptoms after brain injury. The Rehabilitation Complexity Scale-Extended (RCS-E) is an instrument used in assessment of rehabilitation complexity in patients with severe brain injury. The aim of the present study was to translate and test the face validity of the RCS-E as a referral tool for primary rehabilitation. Face validity was tested in a sample of patients with acquired brain injury.

METHODS

Ten clinicians and records from 299 patients with acquired brain injury were used in the translation, cross-cultural adaptation and face validation study of the RCS-E. RCS-E was translated into Danish by a standardized forward-backward translation by experts in the field. Face validity was assessed by a multi-professional team assessing 299 patients. The team was asked their opinion on whether the RCS-E presents a sufficient description of the patients.

RESULTS

The RCS-E was translated according to international guidelines and tested by health professionals; some adaptations were required due to linguistic problems and differences in the national health system structures. The patients in the study had a mean age of 63.9 years (SD 14.7); 61 % were male. We found an excellent face validity with a mean score of 8.2 (SD 0.34) assessed on a 0-10 scale.

CONCLUSIONS

The RCS-E demonstrated to be a valid assessment of primary rehabilitation needs in patients with acquired brain injury. Excellent face validity indicates that the RCS-E is feasible for assessing primary rehabilitation needs and the present study suggests its applicability to the Danish health care system.

Length of Hospital Stay After Stroke: A Korean Nationwide Study

Objective

To investigate the length of hospital stay (LOS) after stroke using the database of the Korean Health Insurance Review & Assessment Service.

Methods

We matched the data of patients admitted for ischemic stroke onset within 7 days in the Departments of Neurology of 12 hospitals to the data from the database of the Korean Health Insurance Review & Assessment Service. We recruited 3,839 patients who were hospitalized between January 2011 and December 2011, had a previous modified Rankin Scale of 0, and no acute hospital readmission after discharge. The patients were divided according to the initial National Institute of Health Stroke Scale score (mild, ≤5; moderate, >5 and ≤13; severe, >13); we compared the number of hospitals that admitted patients and LOS after stroke according to severity, age, and sex.

Results

The mean LOS was 115.6±219.0 days (median, 19.4 days) and the mean number of hospitals was 3.3±2.1 (median, 2.0). LOS was longer in patients with severe stroke (mild, 65.1±146.7 days; moderate, 223.1±286.0 days; and severe, 313.2±336.8 days). The number of admitting hospitals was greater for severe stroke (mild, 2.9±1.7; moderate, 4.3±2.6; and severe, 4.5±2.4). LOS was longer in women and shorter in patients less than 65 years of age.

Conclusion

LOS after stroke differed according to the stroke severity, sex, and age. These results will be useful in determining the appropriate LOS after stroke in the Korean medical system.

Referral decision support in patients with subacute brain injury: evaluation of the Rehabilitation Complexity Scale - Extended

PURPOSE

To test if the Rehabilitation Complexity Scale Extended (RCS-E) can be used as decision support for patient referral to primary rehabilitation as either complex specialized services (CSS) or district specialist services (DSS).

METHOD

Two independent expert teams analyzed medical records on 299 consecutive patients admitted for CSS or DSS rehabilitation. One team provided a golden standard for the patient referrals, and the other team provided RCS-E scores. Models for predicting referrals from RCS-E scores were developed on data for 149 patients and tested on the remaining 150 patients.

RESULTS

The optimal RCS-E sum score threshold for referral prediction was 11, predicting the golden standard for patient referral with sensitivity 88%, specificity 78% and correct classification rate 81%. Improved referral prediction performance was achieved by using RCS-E item-wise score thresholds (sensitivity 81%, specificity 89%, correct classification rate 87%). The RCS-E sum score range for patients referred CSS and DSS by the item-wise model was, respectively, 0-12 and 2-22 suggesting strong non-linear interaction of the RCS-E items.

CONCLUSIONS

We found excellent referral decision support in the RCS-E and the item specific threshold model, when patients with acquired brain injury are to be referred to CSS or DSS as their primary rehabilitation. Implications for Rehabilitation Efficient rehabilitation after acquired brain injury requires rehabilitation settings that meet patient needs. Validated tools for referral decision support make the process more transparent. Patient rehabilitation complexity can be stratified by the RCS-E with high sensitivity, specificity and predictive value of positive test. RCS-E is an excellent tool for referral decision support.

Capturing patients' needs in casemix: a systematic literature review on the value of adding functioning information in reimbursement systems

BACKGROUND

Contemporary casemix systems for health services need to ensure that payment rates adequately account for actual resource consumption based on patients' needs for services. It has been argued that functioning information, as one important determinant of health service provision and resource use, should be taken into account when developing casemix systems. However, there has to date been little systematic collation of the evidence on the extent to which the addition of functioning information into existing casemix systems adds value to those systems with regard to the predictive power and resource variation explained by the groupings of these systems. Thus, the objective of this research was to examine the value of adding functioning information into casemix systems with respect to the prediction of resource use as measured by costs and length of stay.

METHODS

A systematic literature review was performed. Peer-reviewed studies, published before May 2014 were retrieved from CINAHL, EconLit, Embase, JSTOR, PubMed and Sociological Abstracts using keywords related to functioning ('Functioning', 'Functional status', 'Function*, 'ICF', 'International Classification of Functioning, Disability and Health', 'Activities of Daily Living' or 'ADL') and casemix systems ('Casemix', 'case mix', 'Diagnosis Related Groups', 'Function Related Groups', 'Resource Utilization Groups' or 'AN-SNAP'). In addition, a hand search of reference lists of included articles was conducted. Information about study aims, design, country, setting, methods, outcome variables, study results, and information regarding the authors' discussion of results, study limitations and implications was extracted.

RESULTS

Ten included studies provided evidence demonstrating that adding functioning information into casemix systems improves predictive ability and fosters homogeneity in casemix groups with regard to costs and length of stay. Collection and integration of functioning information varied across studies. Results suggest that, in particular, DRG casemix systems can be improved in predicting resource use and capturing outcomes for frail elderly or severely functioning-impaired patients.

CONCLUSION

Further exploration of the value of adding functioning information into casemix systems is one promising approach to improve casemix systems ability to adequately capture the differences in patient's needs for services and to better predict resource use.

Refinements of the Medicare Outpatient Therapy Annual Expenditure Limit Policy

BACKGROUND

A Medicare beneficiary's annual outpatient therapy expenditures that exceed congressionally established caps are subject to extra documentation and review requirements. In 2011, these caps were $1,870 for physical therapy and speech-language pathology combined and $1,870 for occupational therapy separately.

OBJECTIVE

This article considers the distributional effects of replacing current cap policy with equal caps by therapy discipline (physical therapy, occupational therapy, and speech-language pathology) or a single combined cap, and risk adjusting the physical therapy cap using beneficiary characteristics and functional status.

METHODS

Alternative therapy cap policies are simulated with 100% Medicare claims for 2011 therapy users (N=4.9 million). A risk-adjusted cap for annual physical therapy expenditures is calculated from a quantile regression estimated on a sample of physical therapy users with diagnoses and clinician assessments of functional ability merged to their claims (n=4,210).

RESULTS

Equal discipline-specific caps of $1,710 each for physical therapy, occupational therapy, and speech-language pathology result in the same aggregate Medicare expenditures above the caps as 2011 cap policy. A single combined-disciplines cap of $2,485 also results in the same aggregate expenditures above the cap. Risk adjustment varies the physical therapy cap by as much as 5 to 1 across beneficiaries and equalizes the probability of exceeding the physical therapy cap across diagnosis and functional status groups.

LIMITATIONS

One limitation of the study was the assumption of no behavioral response on the part of beneficiaries or providers to a change in cap policy. Additionally, analysis of risk adjusting the therapy caps was limited by sample size.

CONCLUSIONS

Equal discipline-specific caps for physical therapy, occupational therapy, and speech-language pathology are more equitable to high users of both physical therapy and speech-language pathology than current cap policy. Separating the physical therapy and speech-language pathology caps is a change that policy makers could consider. Risk adjustment of the therapy caps is a first step in incorporating beneficiary need for services into Medicare outpatient therapy payment policy.

New medical diagnoses and length of stay of acutely unwell older patients: Implications for funding models

AIM

To examine the relationship between newly made medical diagnoses and length of stay (LOS) of acutely unwell older patients.

METHODS

Consecutive patients admitted under the care of four geriatricians were randomly allocated to a model development sample (n = 937) or a model validation sample (n = 855). Cox regression was used to model LOS. Variables considered for inclusion in the development model were established risk factors for LOS and univariate predictors from our dataset. Variables selected in the development sample were tested in the validation sample.

RESULTS

A median of five new medical diagnoses were made during a median LOS of 10 days. New diagnoses predicted an increased LOS (hazard ratio 0.90, 95% confidence interval 0.88-0.92). Other significant predictors of increased LOS in both samples were malnutrition and frailty.

CONCLUSIONS

Identification of new medical diagnoses may have implications for Diagnosis Related Groups-based funding models and may improve the care of older people.

The Northwick Park Therapy Dependency Assessment scale: a psychometric analysis from a large multicentre neurorehabilitation dataset

Purpose: To assess the internal reliability, construct and concurrent validity and responsiveness of the Northwick Park Therapy Dependency Assessment (NPTDA) scale. Method: A cohort of 2505 neurorehabilitation patients submitted to the UK Rehabilitation Outcomes Collaborative database. Cronbach’s coefficient-α was used to assess internal reliability and factor analysis (FA) to assess construct validity. We compared NPTDA scores at admission and discharge to determine responsiveness. Results: Coefficient-α for the whole scale was 0.74. The exploratory FA resulted in a four-factor model (Physical, Psychosocial, Discharge planning and Activities) that accounted for 43% of variance. This model was further supported by the confirmatory FA. The final model had a good fit: root-mean-square error of approximation of 0.069, comparative fit index/Tucker–Lewis index of 0.739/0.701 and the goodness of fit index of 0.909. The NPTDA scores at admission and discharge were significantly different for each of the factors. Expected correlations were seen between the admission scores for the NPTDA, the Rehabilitation Complexity Scale (r = 0.30, p < 0.01) and the Functional Independence Measure (r = −0.25, p < 0.01). Conclusions: The scale demonstrated acceptable internal reliability and good construct and concurrent validity. NPTDA may be used to describe and quantify changes in therapy inputs in the course of a rehabilitation programme.

Implications for Rehabilitation

The Northwick Park Therapy Dependency Assessment (NPTDA) is designed as a measure therapy intervention, which reflects both quantitative and qualitative aspects of the inputs provided (including staff time and the different types of intervention) during inpatient rehabilitation.

The scale demonstrated acceptable internal reliability and good construct and concurrent validity.

NPTDA is responsive to change in the therapy inputs provided during neurorehabilitation between admission and discharge.

Designing an activity-based costing model for a non-admitted prisoner healthcare setting

Aim. To design and deliver an activity-based costing model within a non-admitted prisoner healthcare setting. Method. Key phases from the NSW Health clinical redesign methodology were utilised: diagnostic, solution design and implementation. Results. The diagnostic phase utilised a range of strategies to identify issues requiring attention in the development of the costing model. The solution design phase conceptualised distinct ‘building blocks’ of activity and cost based on the speciality of clinicians providing care. These building blocks enabled the classification of activity and comparisons of costs between similar facilities. The implementation phase validated the model. Conclusions. The project generated an activity-based costing model based on actual activity performed, gained acceptability among clinicians and managers, and provided the basis for ongoing efficiency and benchmarking efforts.