Does general practitioner gatekeeping curb health care expenditure?

Objectives. Taiwan's annual national ambulatory care expenditure increased dramatically after the implementation of the National Health Insurance program (NHI). This research aimed to examine how the supply of physicians affect the use of ambulatory services in Taiwan. Methods. The study used the sub-regions in the health care network as the unit of observation from 1996 to 1999. Information about ambulatory care utilization was collected from the NHI medical claim database. Other related information was obtained from the Taiwan Demographic Fact Book published by the Ministry of the Interior. We applied multiple regression analysis with the fixed-effects model for the statistical analysis. The model examined how the supply of physicians influenced ambulatory service utilization after controlling for extraneous factors. Results. The research clearly demonstrated that the supply of physicians increased demand in ambulatory care after controlling for other factors. The results showed that an increase of one physician per 10,000 people increased the number of physician visits per capita by 2.43%, and the ambulatory care expenditure by 5.34%. The increase in the physician-population ratio accounted for 21.71% of the rise in ambulatory service expenditures from 1996 to 1999. The number of Chinese medicine physicians and the number of hospital beds did not significantly influence utilization of ambulatory medical care. Conclusions. After Taiwan implemented the National Health Insurance program, the increase in the number of physicians increased the utilization of ambulatory care at the sub-region in the health care network.

The purpose of this report is to estimate diabetes prevalence and annual health care costs for people with diabetes in 1992, compare average annual costs for diabetics and nondiabetics, and estimate the portion of total U.S. health care expenditures incurred by people with the disease. Data from the 1987 National Medical Expenditure Survey were used to estimate diabetes prevalence and health care expenditures for diabetics in 1992. Diabetics were identified based on self-reports of a physician diagnosis of diabetes, a history of taking diabetic medications, or an encounter with the health care system specifically related to diabetes. Identified diabetics were classified as confirmed if they had a history of taking diabetic medications, had a diabetes-specific encounter with the health care system, or purchased diabetic equipment. Estimates of diabetes prevalence and health care expenditures were calculated separately for identified and confirmed diabetics using the National Medical Expenditure Survey database. Total health care expenditures included costs associated with inpatient hospital care, outpatient hospital care, office visits to a physician or other provider, emergency room visits, home health care, prescription drugs, dental care, and durable medical equipment purchases. We estimate that percapita annual health care expenditures in 1992 were more than three times greater for diabetics ($9,493) than for nondiabetics ($2,604). Percapita expenditures for confirmed diabetics ($11,157) were more than four times greater than for nondiabetics. In 1992, diabetics constituted 4.5% of the U.S. population but accounted for 14.6% of total U.S. health care expenditures ($105 billion). Confirmed diabetics constituted 3.1% of the U.S. population but accounted for 11.9% of total U.S. health care expenditures ($85 billion). This study found that health care expenditures for people with diabetes constituted about one in seven health care dollars spent in 1992. Health care reform and insurers should take note of these findings and structure benefit packages to promote care likely to reduce the costs of caring for diabetics.

Sustained treatment with a cholinesterase inhibitor (ChEI) is used in the management of the symptoms of Alzheimer's disease (AD). However, the characteristic declines in learning and memory seen in AD may erode the patient's ability to adhere to medication regimens with or without caregiver support. To examine differences by type of ChEI in (1) monthly prevalence of use, (2) nonpersistence, (3) switching from the index drug to another ChEI, (4) number of days on therapy, (5) medication possession ratio (MPR), and (6) an estimate of the relationship of these characteristics to total annual health care expenditures. Data were from the MarketScan Medicare Supplemental and Coordination of Benefits 2001-2003 database, which comprised 1.47 million Medicare beneficiaries during this 3-year time period. Inclusion criteria were: (1) aged 65 years or older; (2) at least 1 claim with an International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) code 331.0 for AD in any of 15 diagnosis fields on outpatient claims or any of 2 diagnosis fields on inpatient claims at any time during 18 months of observation; (3) at least 1 pharmacy claim for donepezil, galantamine, or rivastigmine preceded by a 6-month period without a ChEI claim; and (4) at least 12 months of follow-up data, for a minimum 18 months continuous enrollment. Multivariate analyses, including logistic regression and exponential conditional mean models, tested for cohort differences in ChEI utilization, controlling for demographics, region of the country, type of insurer, and the Charlson Comorbidity Index (comorbid diagnoses). Using exponential conditional mean models, we also examined the relationship between utilization characteristics and all-cause (i.e., not specific to AD) health care expenditures for a 12-month period, including inpatient and outpatient (physician) care, laboratory and radiology services, emergency room (ER) use, prescription drugs, and long-term care services (e.g., nursing home care, home health visits) paid by Medicare or private insurance, but excluding long-term care services paid by Medicaid. Expenditure was defined as allowed charge (i.e., the total payment received by the service provider including plan and patient paid amounts.) More than 70% of the patients who received ChEI therapy and who otherwise met the inclusion criteria were excluded from this study due to the absence of at least 1 claim with a diagnosis for AD. Of the 3,177 patients included in the study, the index ChEI was donepezil for 62.8% of the patients (n=1,994); 17.2% received galantamine (n=546) and 20.1% received rivastigmine (n=637). The total number of days of index therapy dispensed was greater for those starting on donepezil (mean [median, SD] days=226 [263, 115]) compared with rivastigmine (206 [233, 120], P<0.001), but was not significantly different compared with galantamine (216 [250, 119], P=0.085). Monthly prevalence of use was similar for the 3 drugs until month 5 when a smaller proportion of rivastigmine patients had index medication on hand (65.9%) compared with 72.1% of donepezil patients (P=0.003) and 72.7% of galantamine patients (P=0.012). At 12 months, the likelihood of receiving the index ChEI was higher for donepezil (61.1%) than for either rivastigmine (50.1%, P<0.001) or galantamine (56.4%, P=0.048) and was higher for galantamine than for rivastigmine (P=0.030). The rate of switching for donepezil patients was significantly lower (14.5%) than the switch rate for rivastigmine patients (21.5%, P<0.001) and was similar to the switch rate for galantamine patients (15.0%, P=0.781 for donepezil vs. galantamine; P=0.004 for galantamine vs. rivastigmine). Rates of nonpersistence, measured as having at least 1 gap in therapy of 30 days or more during the 1-year follow-up, were 63.5% for donepezil, 63.7% for galantamine (P=0.933 for donepezil vs. galantamine), and 68.0% for rivastigmine (P=0.042 for donepezil vs. rivastigmine). MPRs and total days supply of any ChEI did not significantly differ among the 3 drugs. Results of multivariate models showed that, controlling for index ChEI drug, each additional month of ChEI treatment was associated with a reduction of 1% in total all-cause health care costs. The mean (SD) total all-cause 1-year health care costs for patients initiated on the 3 ChEIs were not significantly different: $12,112 ($16,437) for donepezil, $12,137 ($19,154) for galantamine (P=0.978), and $12,853 ($14,543) for rivastigmine (P=0.278). During the first year following initiation of ChEI therapy, patients initiated on donepezil had a greater days supply of the index medication than did patients initiated on rivastigmine. At 12 months following treatment initiation, the proportion of patients in therapy was higher for donepezil than for either rivastigmine or galantamine and was higher for galantamine than for rivastigmine. Patients treated with either donepezil or galantamine were less likely to switch from the index drug to another ChEI than were patients treated with rivastigmine. All-cause 1-year health care costs for patients initiated on the 3 ChEIs were not significantly different.

To assess the impact of a collaborative cardiovascular risk reduction service (Collaborative Cardiac Care Service [CCCS]) on total health care expenditures after an incident acute coronary event. Matched, retrospective cohort study. Kaiser Permanente Colorado (KPCO) databases. Patients who had an incident coronary event between January 1999 and June 2004 and were either enrolled (CCCS group) or never enrolled in the CCCS (No CCCS group). Patients in the CCCS group (628 patients) were matched in a 1:1 ratio to patients in the No CCCS group (628 patients) by Chronic Disease Score (CDS) and total health care expenditures in the 180 days before the index coronary event (baseline). Drug purchases and medical utilization encounters were extracted from the KPCO administrative and claims databases after the incident coronary event until death, KPCO plan termination, 3 years later, or December 31, 2005, whichever came first (follow-up). Expenditure estimates from the plan's decision support system (in 2007 U.S. dollars) were applied to each utilization encounter. A $1/follow-up day cost was applied to all patients in the CCCS group. Expenditures/follow-up day were modeled with adjustment for matching variables, patient characteristics, baseline expenditures, and intracorrelations of matched patients. Patients in the No CCCS group were slightly older and were more likely to be female and have had a myocardial infarction as their incident event compared with those in the CCCS group. During follow-up, there were 12 and 98 cardiac-related deaths and 16 and 188 all-cause deaths for the CCCS and No CCCS groups, respectively; mean and median total health care expenditures/day were $39 and $20, respectively, for the CCCS group, and $108 and $45, respectively, for the No CCCS group (all p<0.001). After adjustment, total health care expenditures for patients in the CCCS group were approximately $60/day ($21,900/yr) lower than those for patients in the No CCCS group (p<0.001; adjusted R(2)=0.29 with log-transformed expenditures). The comprehensive and aggressive implementation of secondary cardiac prevention strategies and close monitoring and follow-up of patients with coronary artery disease provided by the CCCS were associated with reduced health care expenditures.

The clinical trial ARISTOTLE showed that apixaban was superior to warfarin in reducing the risks of stroke and bleeding among patients with nonvalvular atrial fibrillation (NVAF). Further study of the effect of apixaban versus warfarin use on health care resource utilization (HCRU) and associated costs in the real-world setting is warranted, especially among elderly patients who are at higher risk of stroke and bleeding. To compare HCRU and costs among elderly NVAF patients treated with apixaban versus warfarin in the United States. Elderly patients (aged ≥ 65 years) with Medicare coverage who initiated apixaban or warfarin were identified from the Humana research database during January 1, 2013-September 30, 2015. Patients were required to have 12 months of continuous insurance coverage before drug initiation (baseline period) and an atrial fibrillation diagnosis during the baseline period or on the date of drug initiation. NVAF patients were grouped into cohorts depending on the drug initiated. Propensity score matching (PSM) was conducted to control for differences in demographics and clinical characteristics of study cohorts. Patients were followed after the index date for a variable length of follow-up. All-cause and disease-specific HCRU and costs during the follow-up were evaluated before and after PSM and reported as per patient per year. Of the overall (unmatched) population, 8,250 patients (mean age: 78.0 years) initiated apixaban and 14,051 patients (mean age: 78.2 years) initiated warfarin. Among NVAF patients who initiated apixaban versus those who initiated warfarin, mean Charlson Comorbidity Index (CCI) scores (3.0 vs. 3.4, P < 0.001); stroke risk scores, including CHADS2 (2.7 vs. 2.9, P < 0.001) and CHA2DS2-VASc (4.6 vs. 4.7, P < 0.001); and bleeding risk scores, including HAS-BLED (3.1 vs. 3.2, P < 0.001), were lower. Additionally, total annual all-cause health care costs were lower during the baseline period for patients treated with apixaban versus warfarin ($17,077 vs. $20,236, P < 0.001). After PSM, 14,214 patients were matched, with 7,107 in each cohort. Mean age, CCI score, and stroke and bleeding risks were similar between matched cohorts, as were total all-cause health care costs during the baseline period. During the follow-up among matched cohorts, apixaban versus warfarin treatment was associated with higher annual pharmacy costs ($5,159 vs. $2,867, P < 0.001) but lower annual inpatient ($8,327 vs. $14,296, P < 0.001), outpatient ($9,655 vs. $11,469, P < 0.001), and total all-cause health care costs ($23,141 vs. $28,633, P < 0.001), which were reflective of lower inpatient, outpatient, and all-cause HCRU among apixaban-treated patients. Furthermore, bleeding-related ($2,101 vs. $3,963, P < 0.001) and stroke-related ($652 vs. $1,178, P = 0.001) annual medical costs were lower for patients treated with apixaban versus warfarin. After controlling for differences in patient characteristics, in the real-world setting apixaban versus warfarin use was associated with less HCRU and lower total all-cause health care costs and costs for bleeding- and stroke-related medical services, but greater pharmacy costs, among elderly NVAF patients. This study was sponsored by Pfizer and Bristol-Myers Squibb. Deitelzweig is a consultant for Pfizer and Bristol-Myers Squibb and has served on their advisory boards and received speaker fees. Deitelzweig also serves as consultant and advisory board member to Portola and Janssen. Luo, Trocio, and Mardekian are employees of Pfizer and own stock in the company. Gupta and Curtice are employees of Bristol-Myers Squibb and own stock in the company. Lingohr-Smith, Menges, and Lin are employees of Novosys Health, which received research funds from Pfizer and Bristol-Myers Squibb to conduct this study and develop the manuscript. Study concept and design were primarily contributed by Deitelzweig, Luo, and Gupta, along with Trocio, Mardekian, Curtice, and Lin. Lin, Menges, and Lingohr-Smith took the lead in data collection, with assistance from the other authors. Data interpretation was performed by Deitelzweig, Menges, and Lin, with assistance from the other authors. The manuscript was written by Lingohr-Smith and Menges, along with the other authors, and revised by all the authors. Some aspects of this study were presented at the American Heart Association Scientific Sessions in New Orleans, Louisiana, November 12-16, 2016.

Meso-level Comparison of Mental Health Service Availability and Use in Chile and Spain

Rationale, considerations, and goals for atrial fibrillation centers of excellence: A Heart Rhythm Society perspective

Thailand has experienced high growth of health care expenditure with economic growth. Gross Domestic Products (GDP) increased from 662 billion Baht in 1980 to 5,100 billion Baht in 2000. With economic successful, health care expenciture also increased from 25.31 billion Baht in 1980 to 298.45 billion Baht in 2000 Wigh regard to source of health expenditure, public sector contributes only 33.09%, while private sector has big share of 66.77% especially, household &amp; employers spent 64.3% of total health expenditure. While provincial data of health care spending of household indicates that provincial differences of health expenditure reaches 14.18 times at maximum in 2000. This is much bigger than the provincial differences of income which is 5.57 times. This suggests the analysis of health care expenditure is important. Therefore, this study will analyze the determinants of health care expenditure by using aggregated data of household survey at provincial level in 1998 and 2000. Results show income is the primary to determine health care expenditure and find health care is revealed as a "luxury good". Income elasticity of health care is 1.287 in 1998 and 1.132 in 2000. The results excess 1.0 and are different from the one in literature review which estimate income elasticity in a country and results are less than 1.0. As for other factors to affect health care expenditure, the elderly has a positive impact while female has negative impact on health care expenditure. Another finding is accessibility to hospital has positive effect on health care expenditure, but there is no significant effect of other supply factors, for example, the number of physician and bed. It is found out that urbanization and BKK dummy are also influencing health care expenditure negatively in 1998. This might suggest the impact of economic crisis in 1997 is more severe in urban area than rural area or provinces.

Nontuberculous mycobacterial lung disease (NTMLD) is an important public health concern that has been increasing in prevalence. To (a) describe hospitalizations and health care expenditures among patients with newly diagnosed NTMLD and (b) estimate attributable hospitalizations and expenditures to NTMLD in the United States. In this matched cohort study, patients and controls were identified from a large U.S. national managed care insurance database containing aggregated health claims of up to 18 million fully covered members annually. NTMLD was defined based on diagnostic claims for NTMLD on ≥ 2 separate occasions ≥ 30 days apart between 2007 and 2016. Thirty-six months of continuous enrollment (12 months before and 24 months after the first diagnostic claim) was required. Health care utilization and standardized health care expenditures were summarized over 12 months before NTMLD diagnosis and for 2 subsequent years. The percentage of patients that were hospitalized in years 1 and 2 was evaluated using a generalized mixed effects model with adjustment for baseline hospitalizations, Charlson Comorbidity Index, and baseline diseases. A general estimating equation model was used to evaluate health care expenditures. There were 1,039 patients in the NTMLD cohort and 2,078 in the control cohort. NTMLD patients had a 55.0% risk of hospitalization in year 1 (95% CI = 45.4-64.3) and a 38.8% risk in year 2 (95% CI = 30.0-48.4). The adjusted risk of hospitalization was significantly higher in the NTMLD group compared with the control group in year 1 (OR = 4.64; 95% CI = 3.74-5.76; P < 0.001) and year 2 (OR = 2.26; 95% CI = 1.78-2.87; P < 0.001). Year 1 adjusted mean health care expenditures for the total NTMLD patient population were $72,475 (95% CI = $58,510-$86,440) and for the matched control population were $28,405 (95% CI = $8,859-$47,950), with a difference of $44,070 (95% CI = $27,132-$61,008; P < 0.001). Year 2 adjusted mean expenditures for the overall NTMLD patient group were $48,114 (95% CI = $31,722-$64,507) and for the matched control group were $28,990 (95% CI = $9,429-$48,552), with a difference of $19,124 (95% CI = $7,865-$30,383; P < 0.001). Patients with NTMLD have a significantly greater risk of hospitalization and higher total health care expenditures than matched control patients without NTMLD. This study was financially sponsored by Insmed. Marras reports fees from Insmed, Astra Zeneca, RedHill, and Horizon, all outside the current work. Mirsaeidi has nothing to disclose. Eagle, Q. Zhang, Chou, and Leuchars are employees of Insmed. R. Zhang is a contracted consultant at Insmed. The views expressed here are those of the authors and are not to be attributed to their respective affiliations.

Health Care Utilization and Expenditures Associated With Remote Monitoring in Patients With Implantable Cardiac Devices

Counterfactual Decomposition Of Health Care Expenditures: From Cost-Based Payment To Global Budget System

El gasto sanitario en España en comparación con el de la Europa desarrollada, 1985–2001. La atención primaria española, Cenicienta europea

Real-World Impact of Treatment With Liposomal Bupivacaine on Health Care Resource Utilization, Opioid Consumption, and Cost Among Patients Undergoing Total Knee Arthroplasty in Ambulatory Surgical Settings in the United States.

To evaluate the association between health risks and health care expenditures for employers of all sizes, generalizing to all employees, even those who did not complete a health risk assessment (HRA). Health risk assessments were obtained from 169,693 insured employees and spouses. Total health care expenditures were measured before HRA completion. Propensity score weighting, adjusting for HRA nonresponse, and multivariate regression analyses were used to estimate the relationship between health risks and health care expenditures. These at-risk categories were significantly associated with increased health care expenditures: elevated blood pressure, body weight and cholesterol, medication/drug use for relaxation, physical inactivity, and stress. The large sample size, the use of data from small firms, and generalizability made this study unique. Targeted programs that promote management of health risks could result in health care cost savings for employers of all sizes.

This study examined the temporal relationship between early discontinuation of buprenorphine treatment and health care expenditures before and after treatment initiation. MarketScan commercial claims for patients who initiated buprenorphine for opioid use disorder in 2013 and had continuous insurance for the subsequent 12 months (N=6,444) were used to examine the relationship between treatment retention and health care expenditures before and after buprenorphine initiation. Analysis of covariance and generalized linear models (with gamma distribution/log link) were used to compare expenditures across four buprenorphine-retention groups (0-3, 3-6, 6-12, and 12 or more months). Average total health care expenditures in the 3 months prior to buprenorphine initiation ranged from a high of $7,588 among those with the shortest retention to $4,929 among those with the longest retention (p<0.001). In the 12 months after buprenorphine initiation, total health care expenditures averaged $26,332 per year, with $2,916 (11.1%) in out-of-pocket expenditures. Average annual expenditures for medication were highest among patients with the longest buprenorphine retention, and total health care expenditures were highest among those with the shortest retention. Expenditures for health care services other than medication were highest among those with early discontinuation both before the initiation of buprenorphine and during the initial period after initiation but not in subsequent quarters. Poorer treatment retention among privately insured adults was associated with greater clinical and financial burdens that preceded and continued during the period shortly following treatment initiation, suggesting that cost burdens may contribute to poor retention among privately insured adults.