Burnout among behavioral health providers in integrated care settings

INTRODUCTION

Burnout in health care, especially among physicians, is a growing concern. It is now well accepted that physician burnout leads to increased depersonalization of patients, lower personal accomplishment, employee turnover, and worse patient outcomes. What is not known, however, is to what extent behavioral health providers (BHPs) in medical settings experience burnout and its associated sequela.

METHOD

Participants (n = 230) from a variety of practice settings and levels of integrated care completed practice and burnout questions via an online survey. Practice-related questions and a modified version of the Maslach Burnout Inventory was administered to BHPs who work in different levels of collaboration with other medical providers.

RESULTS

Overall, BHPs who work primarily in fully integrated care settings reported higher rates of personal accomplishment in their everyday job (B = 1.49; 95% confidence interval [CI] = 0.40, 2.58). Additionally, those who have worked more than 10 years in these types of settings reported both higher personal accomplishment (B = 1.58; 95% CI = 0.68, 2.49) and lower rates of depersonalization (B = -1.32; 95% CI = -2.28, -0.36).

DISCUSSION

In contrast to high rates of burnout among many clinicians in the United States, this is the first study to document relatively low rates of reported burnout among integrated care BHPs. The relationships between lower burnout, working in a fully integrated care practice, and experience as a BHP is important to understand when creating and sustaining team-based primary care jobs. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Exploring the psychometric properties of the Rainbow Model of Integrated Care measurement tool for care providers in Australia

OBJECTIVE

To assess the reliability and validity of a shortened version of the Rainbow Model of Integrated Care (RMIC) measurement tool (MT). The original version of the measurement tool has been modified (shortened) for the Australian context.

DESIGN

Validation of the psychometric properties of the RMIC-MT.

SETTING

Healthcare providers providing services to a geographically defined rural area in New South Wales (NSW), Australia.

PARTICIPANTS

A sample of 56 healthcare providers providing mental and physical healthcare.

MAIN OUTCOME MEASURES

The psychometric properties of the tool were tested using principal component analysis for validity and Cronbach's alpha for reliability.

RESULTS

The tool was shown to have good validity and reliability. The 35 items used in the shortened version of the tool were reduced to 29 items grouped into four dimensions: community-governance orientation, normative integration, functional integration and clinical-professional coordination.

CONCLUSIONS

The shortened version of the RMIC-MT is a valid and reliable tool that evaluates integrated care from a healthcare provider's perspective in NSW, Australia. In order to assess the tool's appropriateness in an international context, future studies should focus on validating the tool in other healthcare settings.

Results from one-year use of an electronic Clinical Decision Support System in a post-conflict context: An implementation research

BACKGROUND

In 2017, the Adamawa State Primary Healthcare Development Agency introduced ALMANACH, an electronic clinical decision support system based on a modified version of IMCI. The target area was the Federal State of Adamawa (Nigeria), a region recovering after the Boko Haram insurgency. The aim of this implementation research was to assess the improvement in terms of quality care offered after one year of utilization of the tool.

METHODS

We carried out two cross-sectional studies in six Primary Health Care Centres to assess the improvements in comparison with the baseline carried out before the implementation. One survey was carried out inside the consultation room and was based on the direct observation of 235 consultations of children aged from 2 to 59 months old. The second survey questioned 189 caregivers outside the health facility for their opinion about the consultation carried out through using the tablet, the prescriptions and medications given.

RESULTS

In comparison with the baseline, more children were checked for danger signs (60.0% vs. 37.1% at baseline) and in addition, children were actually weighed (61.1% vs. 27.7%) during consultation. Malnutrition screening was performed in 35.1% of children (vs. 12.1%). Through ALMANACH, also performance of preventive measures was significantly improved (p<0.01): vaccination status was checked in 39.8% of cases (vs. 10.6% at baseline), and deworming and vitamin A prescription was increased to 46.5% (vs. 0.7%) and 48.3% (vs. 2.8%) respectively. Furthermore, children received a complete physical examination (58.3% vs. 45.5%, p<0.01) and correct treatment (48.4% vs. 29.5%, p<0.01). Regarding antibiotic prescription, 69.3% patients received at least one antibiotic (baseline 77.7%, p<0.05).

CONCLUSIONS

Our findings highlight major improvements in terms of quality of care despite many questions still pending to be answered in relation to a full integration of the tool in the Adamawa health system.

Racial Disparities in Route of Hysterectomy for Benign Indications Within an Integrated Health Care System

This cross-sectional study examines racial disparities in the route of hysterectomy for benign indications within an integrated health care system in the United States.

Multiyear Rehospitalization Rates and Hospital Outcomes in an Integrated Health Care System

IMPORTANCE

Since the introduction of the rehospitalization rate as a quality measure, multiple changes have taken place in the US health care delivery system. Interpreting rehospitalization rates without taking a global view of these changes and new data elements from comprehensive electronic medical records yields a limited assessment of the quality of care.

OBJECTIVE

To examine hospitalization outcomes from a broad perspective, including the implications of numerator and denominator definitions, all adult patients with all diagnoses, and detailed clinical data.

DESIGN, SETTING, AND PARTICIPANTS

This cohort study obtained data from 21 hospitals in Kaiser Permanente Northern California (KPNC), an integrated health care delivery system that serves patients with Medicare Advantage plans, Medicaid, and/or Kaiser Foundation Health Plan. The KPNC electronic medical record system was used to capture hospitalization data for adult patients who were 18 years of age or older; discharged from June 1, 2010, through December 31, 2017; and hospitalized for reasons other than childbirth. Hospital stays for transferred patients were linked using public and internal sources.

EXPOSURES

Hospitalization type (inpatient, for observation only), comorbidity burden, acute physiology score, and care directives.

MAIN OUTCOMES AND MEASURES

Mortality (inpatient, 30-day, and 30-day postdischarge), nonelective rehospitalization, and discharge disposition (home, home with home health assistance, regular skilled nursing facility, or custodial skilled nursing facility).

RESULTS

In total, 1 384 025 hospitalizations were identified, of which 1 155 034 (83.5%) were inpatient and 228 991 (16.5%) were for observation only. These hospitalizations involved 679 831 patients (mean [SD] age, 61.4 [18.1] years; 362 582 female [53.3%]). The number of for-observation-only hospitalizations increased from 16 497 (9.4%) in the first year of the study to 120 215 (20.5%) in the last period of the study, whereas inpatient hospitalizations with length of stay less than 24 hours decreased by 33% (from 12 008 [6.9%] to 27 108 [4.6%]). Illness burden measured using administrative data or acute physiology score increased significantly. The proportion of patients with a Comorbidity Point Score of 65 or higher increased from 20.5% (range across hospitals, 18.4%-26.4%) to 28.8% (range, 22.3%-33.0%), as did the proportion with a Charlson Comorbidity Index score of 4 or higher, which increased from 28.8% (range, 24.6%-35.0%) to 38.4% (range, 31.9%-43.4%). The proportion of patients at or near critical illness (Laboratory-based Acute Physiology Score [LAPS2] ≥110) increased by 21.4% (10.3% [range across hospitals, 7.4%-14.7%] to 12.5% [range across hospitals, 8.3%-16.6%]; P < .001), reflecting a steady increase of 0.07 (95% CI, 0.04-0.10) LAPS2 points per month. Unadjusted inpatient mortality in the first year of the study was 2.78% and in the last year was 2.71%; the corresponding numbers for 30-day mortality were 5.88% and 6.15%, for 30-day postdischarge mortality were 3.94% and 4.22%, and for nonelective rehospitalization were 12.00% and 12.81%, respectively. All outcomes improved after risk adjustment. Compared with the first month, the final observed to expected ratio was 0.79 (95% CI, 0.73-0.84) for inpatient mortality, 0.86 (95% CI, 0.82-0.89) for 30-day mortality, 0.90 (95% CI, 0.85-0.95) for 30-day nonelective rehospitalization, and 0.87 (95% CI, 0.83-0.92) for 30-day postdischarge mortality. The proportion of nonelective rehospitalizations meeting public reporting criteria decreased substantially over the study period (from 58.0% in 2010-2011 to 45.2% in 2017); most of this decrease was associated with the exclusion of observation stays.

CONCLUSIONS AND RELEVANCE

This study found that in this integrated system, the hospitalization rate decreased and risk-adjusted hospital outcomes improved steadily over the 7.5-year study period despite worsening case mix. The comprehensive results suggest that future assessments of care quality should consider the implications of numerator and denominator definitions, display multiple metrics concurrently, and include all hospitalization types and detailed data.

The effects of integrating behavioral health into primary care for low-income children

OBJECTIVE

To evaluate the impact of TEAM UP-an initiative that fully integrates behavioral health services into pediatric primary care in three Boston-area Community Health Centers (CHCs)-on health care utilization and costs.

DATA SOURCES

2014-2017 claims data on continuously enrolled children from a Massachusetts Medicaid managed care plan.

STUDY DESIGN

We used a difference-in-difference approach with inverse probability of treatment weights to compare outcomes in children receiving primary care at TEAM UP CHCs versus comparison site CHCs, in the pre (2014-2016q2)- versus post (2016q3-2017)-intervention periods. Utilization outcomes included emergency department visits, inpatient admissions, primary care visits, and outpatient/professional visits (all cause and those with mental health (MH) diagnoses). Cost outcomes included total cost of care (inpatient, outpatient, professional, pharmacy). We further assessed differential effects by baseline MH diagnosis.

PRINCIPAL FINDINGS

After 1.5 years, TEAM UP was associated with a relative increase in the rate of primary care visits (IRR = 1.15, 95% CI 1.04-1.27, or 115 additional visits/1000 patients/quarter), driven by children with a MH diagnosis at baseline. There was no significant change in avoidable health care utilization or cost.

CONCLUSIONS

Expanding the TEAM UP behavioral health integration model to other sites has the potential to improve primary care engagement in low-income children with MH needs.

Benchmarking Cancer Centers: From Care Pathways to Integrated Practice Units

Background: Structuring cancer care into pathways can reduce variability in clinical practice and improve patient outcomes. International benchmarking can help centers with regard to development, implementation, and evaluation. A further step in the development of multidisciplinary care is to organize care in integrated practice units (IPUs), encompassing the whole pathway and relevant organizational aspects. However, research on this topic is limited. This article describes the development and results of a benchmark tool for cancer care pathways and explores IPU development in cancer centers. Methods: The benchmark tool was developed according to a 13-step benchmarking method and piloted in 7 European cancer centers. Centers provided data and site visits were performed to understand the context in which the cancer center operates and to clarify additional questions. Benchmark data were structured into pathway development and evaluation and assessed against key IPU features. Results: Benchmark results showed that most centers have formalized multidisciplinary pathways and that care teams differed in composition, and found almost 2-fold differences in mammography use efficiency. Suggestions for improvement included positioning pathways formally and structurally evaluating outcomes at a sufficiently high frequency. Based on the benchmark, 3 centers indicating that they had a breast cancer IPU were scored differently on implementation. Overall, we found that centers in Europe are in various stages of development of pathways and IPUs, ranging from an informal pathway structure to a full IPU-type of organization. Conclusions: A benchmark tool for care pathways was successfully developed and tested, and is available in an open format. Our tool allows for the assessment of pathway organization and can be used to assess the status of IPU development. Opportunities for improvement were identified regarding the organization of care pathways and the development toward IPUs. Three centers are in varying degrees of implementation and can be characterized as breast cancer IPUs. Organizing cancer care in an IPU could yield multiple performance improvements.

Variation in Integrated Head and Neck Cancer Care: Impact of Patient and Hospital Characteristics

Background: Monitoring and effectively improving oncologic integrated care requires dashboard information based on quality registrations. The dashboard includes evidence-based quality indicators (QIs) that measure quality of care. This study aimed to assess the quality of current integrated head and neck cancer care with QIs, the variation between Dutch hospitals, and the influence of patient and hospital characteristics. Methods: Previously, 39 QIs were developed with input from medical specialists, allied health professionals, and patients' perspectives. QI scores were calculated with data from 1,667 curatively treated patients in 8 hospitals. QIs with a sample size of >400 patients were included to calculate reliable QI scores. We used multilevel analysis to explain the variation. Results: Current care varied from 29% for the QI about a case manager being present to discuss the treatment plan to 100% for the QI about the availability of a treatment plan. Variation between hospitals was small for the QI about patients discussed in multidisciplinary team meetings (adherence: 95%, range 88%-98%), but large for the QI about malnutrition screening (adherence: 50%, range 2%-100%). Higher QI scores were associated with lower performance status, advanced tumor stage, and tumor in the oral cavity or oropharynx at the patient level, and with more curatively treated patients (volume) at hospital level. Conclusions: Although the quality registration was only recently launched, it already visualizes hospital variation in current care. Four determinants were found to be influential: tumor stage, performance status, tumor site, and volume. More data are needed to assure stable results for use in quality improvement.

Validation of the Rainbow Model of Integrated Care Measurement Tools (RMIC-MTs) in renal care for patient and care providers

INTRODUCTION

Integrated service delivery is considered to be an essential condition for improving the management and health outcomes of people with chronic kidney disease (CKD). However, research on the assessment of integrated care by patients and care providers is hindered by the absence of brief, reliable, and valid measurement tools.

OBJECTIVE

The aim of this study was to develop survey instruments for healthcare professionals and patients based on the Rainbow Model of Integrated Care (RMIC), and to evaluate their psychometric properties.

DESIGN

The development process was based on the US Food and Drug Administration guidelines. This included item generation from systematic reviews of existing tools and expert opinion on clarity and content validity, involving renal care providers and chronic kidney patients. A cross-sectional, multi-centre design was used to test for internal consistency and construct validity.

SETTING

Outpatient clinics in a large renal network.

PARTICIPANTS

A sample of 30.788 CKD patients, and 8.914 renal care providers.

METHODS AND ANALYSIS

Both survey instruments were developed using previous qualitative work and published literature. A multidisciplinary expert panel assessed the face and content validity of both instruments and following a pilot study, the psychometric properties of both instruments were explored. Exploratory factor analysis with principal axis factoring and with promax rotation was used to assess the underlying dimensions of both instruments; Cronbach's alpha was used to determine the internal constancy reliability.

RESULTS

17.512 patients (response rate: 56.9%) and 8.849 care providers (response rate: 69.5%) responded to the questionnaires. Factor analysis of the patient questionnaire yielded three internally consistent (Cronbach's alpha > 0.7) factors: person-centeredness, clinical coordination, and professional coordination. Factor analysis of the provider questionnaire produced eight internally consistent (Cronbach's alpha > 0.7) factors: person-centeredness, community centeredness, clinical coordination, professional coordination, organisational coordination, system coordination, technical and cultural competence. As hypothesised, care coordination patient and providers scores significantly correlated with questions about quality of care, treatment involvement, reported health, clinics' organisational readiness, and external care coordination capacity.

CONCLUSION

This study provides evidence for the reliability and validity of the RMIC patient and provider questionnaires as generic tools to assess the experience with or perception of integrated renal care delivery. The instruments are recommended in future applications testing test-retest reliability, convergent and predictive validity, and responsiveness.

Can integration reduce inequity in healthcare utilization? Evidence and hurdles in China

BACKGROUND

Integration of medical insurance schemes has been prioritized as one of the key strategies to address inequity in China's health system. The first pilot attempt to integrate started in 2003 and later expanded nationwide. This study aims to assess its intended impact on inequity in inpatient service utilization and identify the main determinants contributing to its ineffectiveness.

METHODS

A total of 49,365 respondents in the pilot integrated area and 77,165 respondents in the non-integration area were extracted from the Fifth National Health Services Survey. A comparative analysis was conducted between two types of areas. We calculate a concentration index (CI) and horizontal inequity index (HI) in inpatient service utilization and decompose the two indices.

RESULTS

Insurance integration played a positive role in reducing inequality in inpatient service utilization to some extent. A 13.23% lower in HI, a decrease in unmet inpatient care and financial barriers to inpatient care in the pilot integrated area compared with the non-integration area; decomposition analysis showed that the Urban-Rural Residents Basic Medical Insurance, a type of integrated insurance, contributed 37.49% to reducing inequality in inpatient service utilization. However, it still could not offset the strong negative effect of income and other insurance schemes that have increased inequality.

CONCLUSIONS

The earlier pilot attempt for integrating medical insurance was not enough to counteract the influence of factors which increased the inequality in inpatient service utilization. Further efforts to address the inequality should focus on widening access to financing, upgrading the risk pool, reducing gaps within and between insurance schemes, and providing broader chronic disease benefit packages. Social policies that target the needs of the poor with coordinated efforts from various levels and agencies of the government are urgently needed.

A systematic review of proactive psychiatric consultation on hospital length of stay

OBJECTIVE

Roughly half of general hospital patients may have a psychiatric issue that impacts care, yet most of these are not recognized during hospital admission. Proactive mental health screening offers an opportunity for timely identification and clinical attention to improve outcomes.

METHOD

We conducted a PRISMA systematic review of Pubmed, Embase, PsycINFO, and Cochrane Library for proactive models of psychiatric consultation to reduce hospital length of stay (LOS) in adult inpatients. For each study, we evaluated the level of evidence and defined the study sample, means of group allocation, screening process, interventions, and outcomes.

RESULTS

Of the 12 included studies, the 8 whose screening was informed by clinicians with mental health care expertise or whose providers were integrated with primary services reported a reduction in LOS. Two of these also reported favorable cost-benefit analyses. All positive studies represent versions of either psychiatrists embedded within medical or surgical settings or a multidisciplinary team-based model.

CONCLUSIONS

Proactive CL psychiatry with clinically-informed screening and integrated care delivery appear to reduce LOS. Further studies are needed to explore a broader range of outcomes, hospital populations beyond hospital medicine, and additional benefits of proactive integrated mental health care in the general hospital.

Development of an algorithm to detect methotrexate wrong frequency error using computerized health care data

PURPOSE

We validated an algorithm to detect frequency errors in computerized healthcare data and estimated the incidence of these errors in an integrated healthcare system.

METHODS

We applied Sentinel System analytic tools on the electronic health records of Kaiser Permanente, Northern California, January 1, 2010, through May 30, 2015,to identify rheumatoid arthritis (RA) patients with new use of methotrexate (365-day baseline period). We identified potential methotrexate frequency errors using ICD-9 code 995.20 (adverse drug event), Current Procedural Terminology (CPT) code 96409 for injection of leucovorin and prescription refill patterns. We performed chart review to confirm the frequency errors, assessed performance for detecting frequency errors, and estimated the incidence of chart-confirmed errors.

RESULTS

The study included 24,529 methotrexate dispensings among 3,668 RA patients. Among these, 722 (3%) had one dispensing and 23,807 (97.1%) had ≥2 dispensings during 1-year follow-up period. We flagged 653 (2.7%) with a potential medication error (46 with one dispensing and 607 with ≥2 dispensings). We sampled 94 for chart review, and confirmed three methotrexate errors. All three confirmed frequency errors involved a first methotrexate dispensing followed by injected rescue therapy, leucovorin, (positive predictive value, 60%; 95% confidence interval [CI], 15-95%). No potential errors were found among patients with ≥2 dispensings. We estimated the frequency error incidence among one methotrexate dispensing to be 0.4% (95%CI, 0.1% to 1.2%).

CONCLUSION

Rescue therapy is a specific indicator of methotrexate overdose among first methotrexate dispensings. This method is generalizable to other medications with serious adverse events treated with antidotes.

Collaborative Care for Depression of Adults and Adolescents: Measuring the Effectiveness of Screening and Treatment Uptake

OBJECTIVE

This study analyzed effectiveness of screening, referrals, and treatment uptake of a collaborative care for depression intervention across 10 primary care clinics in Chicago.

METHODS

Between November 2016 and December 2017, patients (N=25,369) were screened with the Patient Health Questionnaire-2 and the Patient Health Questionnaire-9 on the basis of an eligibility algorithm. Electronic health record data were analyzed for sample characteristics, screening rates, referrals, and treatment pathways. To identify disparities, a test of proportions was conducted between eligible and screened patients as well as referred and treated patients.

RESULTS

Screenings, referrals, and uptake occurred proportionately across subgroups except for patients ages 12-17. Adolescent age was associated with disproportionate Patient Health Questionnaire-9 screenings and with treatment disengagement.

CONCLUSIONS

The intervention shows promise in expanding access to care and reducing disparities. Greater access to psychotherapies and innovative treatment modalities, particularly for adolescents, may improve overall treatment uptake.

Changes in patient satisfaction related to their perceived health state during implementation of improved integrated care for older persons

Patient satisfaction with the general practitioner (GP) is lower in older persons with a higher level of complexity of health problems. This study investigates whether, in these older persons, changes in satisfaction with their GP, on receiving improved integrated care, is related to their perceived health state.Using the Integrated Systematic Care for Older People (ISCOPE) trial (aimed at improving person- centered integrated care) this study compared changes in satisfaction with the GP in older persons (aged ≥75 years) with a high level of complex health problems on receiving integrated care, stratified for perceived health state at baseline. Satisfaction with the GP was registered on a 5-point Likert scale. Perceived health state was estimated with the Older Persons and Informal Caregivers Survey-Composite End Point (TOPICS-CEP) at baseline, stratified into 33% percentiles. Differences in satisfaction change between the intervention and usual care/control groups (overall and stratified for perceived health state) are presented by percentages of 'very satisfied' participants and improving or deteriorating 1 or more points on the Likert scale. At baseline, the intervention (n = 151) and control group (n = 603) were mainly female (75%) and living alone (62%); mean age was 83 years. Medical status, perceived health state and characteristics of participants were similar. Overall, at baseline 44.4% of respondents in the intervention group were 'very satisfied' compared with 37.1% at follow-up, (difference -7.3%). In the control group, 'very satisfied' at baseline was 32% and at follow up 29.2% (difference -2.8%). The p-value for this difference in change is 0.56. After stratification for TOPICS-CEP the results were the same. In older persons with a high level of complexity of health problems, implementation of person- centered integrated healthcare did not influence their satisfaction with the GP, also not among those with the highest or lowest perceived health state.

Development and Validation of a Tool to Measure Patient Assessment of Clinical Compassion

IMPORTANCE

Clinician compassion is a vital element of health care quality. Currently, there appears to be no validated and feasible method for health care organizations to measure patient assessment of clinician compassion on a large scale.

OBJECTIVE

To develop and validate a tool for measuring patient assessment of clinician compassion that can be used in conjunction with the Clinician and Group Consumer Assessment of Healthcare Providers and Systems (CG-CAHPS) survey.

DESIGN, SETTING, AND PARTICIPANTS

This prospective cohort study took place from June 1 to August 30, 2018, at a US academic health care system among a pilot cohort consisting of 3325 adult patients and a validation cohort consisting of 3483 adult patients, both of whom had an outpatient clinic visit and completed the CG-CAHPS survey.

MAIN OUTCOMES AND MEASUREMENTS

After a comprehensive literature review, 12 candidate survey items were developed. Face and construct validity were performed. Candidate items were disseminated to patients in conjunction with the CG-CAHPS survey in a series of 2 studies: (1) exploratory factor analysis in one cohort to determine the factor structure and the most parsimonious set of items; and (2) validity testing in a second cohort using confirmatory factor analysis. Reliability was tested using Cronbach α. Convergent validity was tested with patient assessment of clinician communication and overall satisfaction questions from CG-CAHPS survey.

RESULTS

Overall, 6493 patient responses were analyzed. The mean (SD) age was 60 (15) years, 4239 patients (65.3%) were women, and 5079 (78.2%) were white. Exploratory factor analyses identified a 5-item compassion measure to be the most parsimonious. Confirmatory factor analyses found good fit. The compassion measure demonstrated good internal consistency (α = 0.94) and convergent validity (clinician communication: ρ = 0.44; overall satisfaction: ρ = 0.52) but reflected a patient experience domain (compassionate care) distinct from what is currently captured in the CG-CAHPS survey.

CONCLUSIONS AND RELEVANCE

A simple 5-item tool to measure patient assessment of clinician compassion was developed and validated for use in conjunction with CG-CAHPS survey.

The impact of long-term care on primary care doctor consultations for people over 75 years

Many countries are adopting policies to create greater coordination and integration between acute and long-term care services. This policy is predicated on the assumption that these service areas have interdependent outcomes for patients. In this paper, we study the interdependencies between the long-term (home care) services and consultations with a primary care doctor, as used by people over 75 years. Starting with a model of individual's demand for doctor consultations, given supply, we formalize the hypothesis that exogenous increases to home care supply will reduce the number of consultations where these services are technical substitutes. Furthermore, greater coordination of public service planning and use of pooled budgets could lead to better outcomes because planners can account for these externalities. We test our main hypothesis using data from the British Household Panel Study for 1991-2009. To address potential concerns about endogeneity, we use a set of instrumental variables for home care motivated by institutional features of the social care system. We find that there is a statistically significant substitution effect between home care and doctor visits, which is robust across a range of specifications. This result has implications for policies that consider increased coordination between health care and social care systems.

Impact of the Southwark and Lambeth Integrated Care Older People's Programme on hospital utilisation and costs: controlled time series and cost-consequence analysis

OBJECTIVES

To estimate the impact on hospital utilisation and costs of a multi-faceted primary care intervention for older people identified as being at risk of avoidable hospitalisation.

DESIGN

Observational study: controlled time series analysis and estimation of costs and cost consequences of the Programme. General practitioner (GP)'s practice level data were analysed from 2009 to 2016 (intervention operated from 2012 to 2016). Mixed-effect Poisson regression models of hospital utilisation included comparisons with control practices and background trends in addition to within-practice comparisons. Cost estimation used standard tariff values.

SETTING

94 practices in Southwark and Lambeth and 263 control practices from other parts of England.

MAIN OUTCOME MEASURES

Hospital utilisation: emergency department attendance, emergency admissions, emergency admissions for ambulatory sensitive conditions, outpatient attendance, elective admission and length of stay.

RESULTS

By the fourth year of the Programme, there were reductions in accident and emergency (A&E) attendance (rate ratio 0.944, 95% CI 0.913 to 0.976), outpatient attendances (rate ratio 0.938, 95% CI 0.902 to 0.975) and elective admissions (rate ratio 0.921, 95% CI 0.908 to 0.935) but there was no evidence of reduced emergency admissions. The costs of the Programme were £149 per resident aged 65 and above but savings in hospital costs were only £86 per resident aged 65 and above, equivalent to a net increase in health service expenditure of £64 per resident though the Programme was nearly cost neutral if set-up costs were excluded. Holistic assessments carried out by GPs and consequent Integrated Care Management (ICM) plans were associated with increases in elective activity and costs; £126 increase in outpatient attendance and £936 in elective admission costs per holistic assessment carried out, and £576 increase in outpatient and £5858 in elective admission costs per patient receiving ICM.

CONCLUSIONS

The Older People's Programme was not cost saving. Some aspects of the Programme were associated with increased costs of elective care, possibly through the identification of unmet need.

Promoting health payment reform literacy: Does integrated care save money?

INTRODUCTION

Under the current payment environment, the challenges to implementing and sustaining integrated behavioral health care are substantial. One key barrier for clinicians, administrators, researchers, and patients/families is a lack of clarity about who pays for integrated health care in the United States, and a lack of consensus about whether bending the health care cost curve is a fundamental goal of integrated care, and for whom. Clinicians caring for patients and families in integrated care settings would benefit from honing their "payment reform literacy skills" in order to advocate for integrated care.

METHOD

This paper offers a primer on the current state of health care spending in the United States, an overview of public and private payers, and the challenges each faces in paying for integrated care.

DISCUSSION

Future journal articles in the FSH Policy and Management Department will describe key payment policy and management opportunities for integrated care payment reform. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

What protects against pre-diabetes progressing to diabetes? Observational study of integrated health and social data

AIMS

To examine the incidence of type 2 diabetes in people with newly diagnosed prediabetes and the factors that protect against this progression.

METHODS

The study population was 14,043 adults with pre-diabetes enrolled in a primary health organization in the upper North Island of New Zealand. Glycated hemoglobin (HbA1c) and body mass index (BMI) were linked to government health, census and social datasets in the Statistics New Zealand Integrated Data Infrastructure. Adults with a first diagnosis of pre-diabetes between 2009 and 2017 (HbA1c in range 5.9-6.6% [41-49 mmol/mol]) were followed-up for type 2 diabetes incidence. Cox regression was used to examine protective factors and adjust for potential confounding.

RESULTS

Cumulative diabetes incidence was 5.0% after three years. Progression was greater in younger adults, men, people with higher HbA1c, greater BMI and a more recent diagnosis. Progression was lower in people treated with metformin, and Indigenous language speakers. Higher progression rates for Māori (Indigenous population) and Pacific peoples (migrants to New Zealand) were related to higher baseline HbA1c.

CONCLUSIONS

This is the first study to identify Indigenous language as a protective factor against diabetes, and results confirm obesity as a key target for population prevention. People with identified risk factors should be prioritized for pre-diabetes interventions.

Patient attribution: why the method matters

OBJECTIVES

To assess the impact of 5 commonly used patient attribution methods on measured healthcare cost, quality, and utilization metrics within an integrated healthcare delivery system.

STUDY DESIGN

Cross-sectional analysis of administrative data of all patients attributed (by any of 5 methods) and/or paneled to a primary care provider (PCP) at Mayo Clinic Rochester (MCR) in 2011.

METHODS

We retrospectively applied 5 attribution methods to MCR administrative data from January 1, 2010, to December 31, 2011. MCR is an integrated healthcare delivery system serving primary care and referral populations. The referral practice is geographically colocated but otherwise distinct from 6 primary care practice sites that include pediatric, internal medicine, and family medicine groups. Patients attributed by each method were compared on their concordance with PCP empanelment, quality measures, healthcare utilization, and total costs of care.

RESULTS

The 5 methods attributed between 61,813 (42%) and 106,152 (72%) of paneled patients to a PCP at MCR, although not necessarily to the paneled PCP. There was marked variation in care utilization and total costs of care, but not quality measures, among patients attributed by the different methods and between those paneled versus not paneled. Patients with more primary care visits were more likely to be attributed by all methods.

CONCLUSIONS

Reliable identification of the physician-patient relationship is necessary for accurate evaluation of healthcare processes, efficiencies, and outcomes. Optimization and standardization of attribution methods are therefore essential as health systems, payers, and policy makers seek to evaluate and improve the value of delivered care.

Can the use of digital algorithms improve quality care? An example from Afghanistan

BACKGROUND

Quality of care is a difficult parameter to measure. With the introduction of digital algorithms based on the Integrated Management of Childhood Illness (IMCI), we are interested to understand if the adherence to the guidelines improved for a better quality of care for children under 5 years old.

METHODS

More than one year after the introduction of digital algorithms, we carried out two cross sectional studies to assess the improvements in comparison with the situation prior to the implementation of the project, in two Basic Health Centres in Kabul province. One survey was carried out inside the consultation room and was based on the direct observation of 181 consultations of children aged 2 months to 5 years old, using a checklist completed by a senior physicians. The second survey queried 181 caretakers of children outside the health facility for their opinion about the consultation carried out through the tablet and prescriptions and medications given.

RESULTS

We measured the quality of care as adherence to the IMCI's guidelines. The study evaluated the quality of the physical examination and the therapies prescribed with a special attention to antibiotic prescription. We noticed a dramatic improvement (p<0.05) of several indicators following the introduction of digital algorithms. The baseline physical examination was appropriate only for 23.8% [IC% 19.9-28.1] of the patients, 34.5% [IC% 30.0-39.2] received a correct treatment and 86.1% [IC% 82.4-89.2] received at least one antibiotic. With the introduction of digital algorithms, these indicators statistically improved respectively to 84.0% [IC% 77.9-88.6], >85% and less than 30%.

CONCLUSIONS

Our findings suggest that digital algorithms improve quality of care by applying the guidelines more effectively. Our experience should encourage to test this tool in different settings and to scale up its use at province/state level.

Diabetes management in a Primary Care Network (PCN) of private general practitioners in Singapore: An observational study

A Primary Care Network (PCN) is a virtual network of general practitioners (GPs), sharing common resources and common clinical governance framework for effective chronic disease management. In this study, we analyzed the frequency of assessment as well as control of HbA1c, blood pressure (BP), and low-density lipoprotein (LDL) over time among adult patients with diabetes managed by a group of private GPs under PCN.Data, including clinical measurements of HbA1c, BP, and LDL from 2012 to 2015, of 943 subjects at 9 GP clinics that piloted PCN in Singapore in 2012 was obtained from the chronic disease register for this analysis.The total number of PCN patients increased from 371 in 2012 to 911 in 2015. The average HbA1c decreased from 7.5% in 2012 to 7.3% in 2015, with a significant yearly improving trend of -0.11% (P < .001). The trends in change for systolic BP and LDL were not statistically significant during the same follow-up period. Regular assessment of HbA1c decreased from 80% in 2012 to 55% in 2015. Such decreases were also found in BP and LDL assessments. We also found that receiving government subsidies under a national scheme was a major determinant for maintaining regular assessment, with patients so covered 3 to 20 times more likely to have regular assessments.The PCN model can help improve care and clinical outcomes in adult patients with diabetes in the private primary care sector. Investing greater financial and human resources to augment service capacity and expanding subsidy coverage may be important to ensure the effectiveness, scalability, and sustainability of such a model of care.

Clinical outcomes and healthcare use associated with optimal ESRD starts

OBJECTIVES

To assess the association between optimal end-stage renal disease (ESRD) starts and clinical and utilization outcomes in an integrated healthcare delivery system.

STUDY DESIGN

Retrospective observational cohort study in 6 regions of an integrated healthcare delivery system, 2011-2013.

METHODS

Propensity score techniques were used to match 1826 patients who experienced an optimal start of renal replacement therapy (initial therapy of hemodialysis via an arteriovenous fistula or graft, peritoneal dialysis, or pre-emptive transplant) to 1826 patients who experienced a nonoptimal start (hemodialysis via a central venous catheter). Outcomes included 12-month rates of sepsis, mortality, and utilization (inpatient stays, total inpatient days, emergency department visits, and outpatient visits to primary care and specialty care).

RESULTS

Optimal starts were associated with a 65% reduction in sepsis (odds ratio, 0.35; 95% CI, 0.29-0.42) and a 56% reduction in 12-month mortality (hazard ratio, 0.44; 95% CI, 0.36-0.53). Optimal starts were also associated with lower utilization, except for nephrology visits. Large utilization differences were observed for total inpatient days (9.4 for optimal starts vs 27.5 for nonoptimal starts; relative rate [RR], 0.45; 95% CI, 0.38-0.52) and outpatient visits for specialty care other than nephrology or vascular surgery (12.5 vs 18.3, respectively; RR, 0.62; 95% CI, 0.53-0.74).

CONCLUSIONS

Compared with patients with nonoptimal starts, patients with optimal ESRD starts have lower morbidity and mortality and less use of inpatient and outpatient care. Late-stage chronic kidney disease and ESRD care in an integrated system may be associated with greater benefits than those previously reported in the literature.

Systematic review of high-cost patients' characteristics and healthcare utilisation

OBJECTIVES

To investigate the characteristics and healthcare utilisation of high-cost patients and to compare high-cost patients across payers and countries.

DESIGN

Systematic review.

DATA SOURCES

PubMed and Embase databases were searched until 30 October 2017.

ELIGIBILITY CRITERIA AND OUTCOMES

Our final search was built on three themes: 'high-cost', 'patients', and 'cost' and 'cost analysis'. We included articles that reported characteristics and utilisation of the top-X% (eg, top-5% and top-10%) patients of costs of a given population. Analyses were limited to studies that covered a broad range of services, across the continuum of care. Andersen's behavioural model was used to categorise characteristics and determinants into predisposing, enabling and need characteristics.

RESULTS

The studies pointed to a high prevalence of multiple (chronic) conditions to explain high-cost patients' utilisation. Besides, we found a high prevalence of mental illness across all studies and a prevalence higher than 30% in US Medicaid and total population studies. Furthermore, we found that high costs were associated with increasing age but that still more than halve of high-cost patients were younger than 65 years. High costs were associated with higher incomes in the USA but with lower incomes elsewhere. Preventable spending was estimated at maximally 10% of spending. The top-10%, top-5% and top-1% high-cost patients accounted for respectively 68%, 55% and 24% of costs within a given year. Spending persistency varied between 24% and 48%. Finally, we found that no more than 30% of high-cost patients are in their last year of life.

CONCLUSIONS

High-cost patients make up the sickest and most complex populations, and their high utilisation is primarily explained by high levels of chronic and mental illness. High-cost patients are diverse populations and vary across payer types and countries. Tailored interventions are needed to meet the needs of high-cost patients and to avoid waste of scarce resources.