Payment models in primary health care: A driver of the quantity and quality of medical laboratory utilization

How provider payment methods affect health expenditure of depressive patients? Empirical study from national claims data in China from 2013 to 2017

BACKGROUND

This study aimed to investigate the associations between provider payment methods and expenditure of depressive patients, stratified by service types and hospital levels.

METHODS

We used a 5 % random sample of urban claims data in China (2013-2017), collected by China Health Insurance Research Association. Provider payment methods (fee-for-services, global budget, capitation, case-based and per-diem payments) were the explanatory variables. A generalized linear model was fitted for the associations between provider payment methods and expenditure. All analyses were adjusted for patient"cioeconomic and health-related characteristics.

RESULTS

In total, 64,615 depressive patient visits were included, 59,459 for outpatients and 5156 for inpatients. Female patients accounted for 63.00 %. The total and out-of-pocket (OOP) expenditure significantly differentiated by provider payments. Among outpatient services, when comparing with fee-for-services, capitation payment was associated with substantial marginal reduction in total and OOP expenditure (-$34.18, -$9.71) in primary institutes, yet increases ($27.26, $24.11) in secondary hospitals. Similarly, global budget was associated with lower total and OOP expenditure (-$13.51, -$1.61) in secondary hospitals, while higher total and OOP expenditure ($7.43, $32.27) in tertiary hospitals than fee-for-services. For inpatients, total and OOP expenditures under per-diem (-$857.65, -$283.48) and case-based payments (-$997.93, -$137.56) were remarkably smaller than those under fee-for-services in primary and secondary hospitals, respectively. Besides, case-base payment was only linked with the largest reduction in OOP expense (-$239.39) in inpatient services of tertiary hospitals.

LIMITATION

Only urban claims data was included in this study, and investigations for rural population still warrant. And updated data are needed for future studies.

CONCLUSIONS

There were varying correlations between provider payment methods and expenditure, which differed by service types and hospital levels. These findings provided empirical evidence for optimizing the mixed payment methods for depression in China.

Insurance barriers and inequalities in health care access: evidence from dual practice

BACKGROUND

We investigate access disparities in pharmaceutical care among German patients with type 2 diabetes, focusing on differences between public and private health insurance schemes. The primary objectives include investigating whether patients with private health insurance experience enhanced access to antidiabetic care and analyzing whether the treatment received by public and private patients is influenced by the practice composition, particularly the proportion of private patients.

METHODS

We estimate fixed effect regression models, to isolate the effect of insurance schemes on treatment choices. We utilize data from a prescriber panel comprising 681 physicians collectively serving 68,362 patients undergoing antidiabetic treatments.

RESULTS

The analysis reveals a significant effect of the patient's insurance status on antidiabetic care access. Patients covered by private insurance show a 10-percentage-point higher likelihood of receiving less complex treatments compared to those with public insurance. Furthermore, the composition of physicians' practices plays a crucial role in determining the likelihood of patients receiving less complex treatments. Notably, the most pronounced disparities in access are observed in practices mirroring the regional average composition.

CONCLUSIONS

Our findings underscore strategic physician navigation across diverse health insurance schemes in ambulatory care settings, impacting patient access to innovative treatments.

Effective and Efficient Delivery of Genome-Based Testing-What Conditions Are Necessary for Health System Readiness?

Health systems internationally must prepare for a future of genetic/genomic testing to inform healthcare decision-making while creating research opportunities. High functioning testing services will require additional considerations and health system conditions beyond traditional diagnostic testing. Based on a literature review of good practices, key informant interviews, and expert discussion, this article attempts to synthesize what conditions are necessary, and what good practice may look like. It is intended to aid policymakers and others designing future systems of genome-based care and care prevention. These conditions include creating communities of practice and healthcare system networks; resource planning; across-region informatics; having a clear entry/exit point for innovation; evaluative function(s); concentrated or coordinated service models; mechanisms for awareness and care navigation; integrating innovation and healthcare delivery functions; and revisiting approaches to financing, education and training, regulation, and data privacy and security. The list of conditions we propose was developed with an emphasis on describing conditions that would be applicable to any healthcare system, regardless of capacity, organizational structure, financing, population characteristics, standardization of care processes, or underlying culture.

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.

Effectiveness of hospital payment reforms in low- and middle-income countries: a systematic review

Payment mechanisms have attracted substantial research interest because of their consequent effect on care outcomes, including treatment costs, admission and readmission rates and patient satisfaction. Those mechanisms create the incentive environment within which health workers operate and can influence provider behaviour in ways that can facilitate achievement of national health policy goals. This systematic review aims to understand the effects of changes in hospital payment mechanisms introduced in low- and middle-income countries (LMICs) on hospital- and patient-level outcomes. A standardised search of seven databases and a manual search of the grey literature and reference lists of existing reviews were performed to identify relevant articles published between January 2000 and July 2019. We included original studies focused on hospital payment reforms and their effect on hospital and patient outcomes in LMICs. Narrative descriptions or studies focusing only on provider payments or primary care settings were excluded. The authors used the Risk of Bias in Non-Randomized Studies of Interventions tool to assess the risk of bias and quality. Results were synthesized in a narrative description due to methodological heterogeneity. A total of 24 articles from seven middle-income countries were included, the majority of which are from Asia. In most cases, hospital payment reforms included shifts from passive (fee-for-service) to active payment models-the most common being diagnosis-related group payments, capitation and global budget. In general, hospital payment reforms were associated with decreases in hospital expenditures, out-of-pocket payments, length of hospital stay and readmission rates. The majority of the articles scored low on quality due to weak study design. A shift from passive to active hospital payment methods in LMICs has been associated with lower hospital and patient costs as well as increased efficiency without any apparent compromise on quality. However, there is an important need for high-quality studies in this area.

Adoption of a laboratory EMR system and inappropriate laboratory testing in Ontario: a cross-sectional observational study

Background

Electronic medical record (EMR) systems have the potential to facilitate appropriate laboratory testing. We examined three common medical tests in primary care—hemoglobin A1c (HbA1c), lipid, and thyroid stimulating hormone (TSH)— to assess whether adoption of a laboratory EMR system in Ontario had an impact on the rate of inappropriate testing among primary care physicians.

Methods

We used FY2016–17 population-level laboratory data to estimate the association between adoption of a laboratory EMR system and the rate of inappropriate testing. Inappropriate testing was assessed based on recommendations for screening, monitoring, and follow-up that take into account risk factors related to patient age and certain clinical conditions. To overcome the problem of potential endogeneity of physician choice to use the EMR, the EMR penetration rate in the physician’s geographical area of practice was used as an instrumental variable in an ordinary least squares (OLS) regression. We then simulated the change in the rate of inappropriate testing, by physician payment model, as the EMR penetration rate increased from the baseline percentage.

Results

The simulation models showed that an increase in the rate of EMR penetration from a baseline average was associated with a statistically significant decrease in inappropriate hbA1c and lipid testing, but a statistically insignificant increase in inappropriate TSH testing. The impact of EMR penetration also varied by payment model.

Conclusions

This study demonstrated a positive association between availability of an EMR system and appropriate service utilization. Varying impacts of the EMR system availability by primary care payment model may be reflective of different incentives or attributes inherent in payment models. Policies to encourage physicians to increase their use of laboratory EMR systems could improve the quality and continuity of patient care.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12913-021-06296-5.

The Impact of COVID-19 on the Performance of Primary Health Care Service Providers in a Capitation Payment System: A Case Study from Poland

In Poland, as in many other countries, the use of capitation payment schemes in primary health care is popular. Despite this popularity, the subject literature discusses its role in decreasing the quality of primary medical services. This problem is particularly important during COVID-19, when medical entities provide telehealth services to patients. The objective of the study is to examine the effects of COVID-19 pandemic on the performance of the primary health care providers in Poland under a capitation payment scheme. In this study the authors use data from interviews with personnel of medical entities and financial and administrative reports of primary health care providers in order to identify how this crisis situation impacts the performance of primary health care entities, under capitation payment system. The performance indicators include both the financial and quality measures. Selected to the case study primary health care service providers significantly improved their profitability due to considerable costs savings and reduction of services provided to patients in a time of COVID-19 pandemic. Capitation payment system proved to be inefficient, in the studied pandemic period, in terms of the services provided by primary health care service providers to patients and the funds paid to them, in exchange, by the government entities.

Stirring the pot: Switching from blended fee-for-service to blended capitation models of physician remuneration

In Canada's most populous province, Ontario, family physicians may choose between the blended fee-for-service (Family Health Group [FHG]) and blended capitation (Family Health Organization [FHO] payment models). Both models incentivize physicians to provide after-hours (AH) and comprehensive care, but FHO physicians receive a capitation payment per enrolled patient adjusted for age and sex, plus a reduced fee-for-service while FHG physicians are paid by fee-for-service. We develop a theoretical model of physician labor supply with multitasking to predict their behavior under FHG and FHO, and estimable equations are derived to test the predictions empirically. Using health administrative data from 2006 to 2014 and a two-stage estimation strategy, we study the impact of switching from FHG to FHO on the production of a capitated basket of services, after-hours services and nonincentivized services. Our results reveal that switching from the FHG to FHO reduces the production of capitated services to enrolled patients and services to nonenrolled patients by 15% and 5% per annum and increases the production of after-hours and nonincentivized services by 8% and 15% per annum.

Physician remuneration schemes, psychiatric hospitalizations and follow-up care: Evidence from blended fee-for-service and capitation models

Psychiatric hospitalizations could be reduced if mental illnesses were detected and treated earlier in the primary care setting, leading to the World Health Organization recommendation that mental health services be integrated into primary care. The mental health services provided in primary care settings may vary based on how physicians are incentivized. Little is known about the link between physician remuneration and psychiatric hospitalizations. We contribute to this literature by studying the relationship between physician remuneration and psychiatric hospitalizations in Canada's most populous province, Ontario. Specifically, we study family physicians (FPs) who switched from blended fee-for-service (FFS) to blended capitation remuneration model, relative to those who remained in the blended FFS model, on psychiatric hospitalizations. Outcomes included psychiatric hospitalizations by enrolled patients and the proportion of hospitalized patients who had a follow-up visit with the FP within 14 days of discharge. We used longitudinal health administrative data from a cohort of practicing physicians from 2006 through 2016. Because physicians practicing in these two models are likely to be different, we employed inverse probability weighting based on estimated propensity scores to ensure that switchers and non-switchers were comparable at the baseline. Using inverse probability weighted fixed-effects regressions controlling for relevant confounders, we found that switching from blended FFS to blended capitation was associated with a 6.2% decrease in the number of psychiatric hospitalizations and a 4.7% decrease in the number of patients with a psychiatric hospitalization. No significant effect of remuneration on follow-up visits within 14 days of discharge was observed. Our results suggest that the blended capitation model is associated with fewer psychiatric hospitalizations relative to blended FFS.

Job stress among GPs: associations with practice organisation in 11 high-income countries

Background

Job stress among GPs is an issue of growing concern.

Aim

To investigate whether the structural and organisational features of GPs’ practices were associated with job stress in 11 countries.

Design and setting

Secondary analysis of the 2015 Commonwealth Fund International Health Policy Survey of Primary Care Physicians, an international cross-sectional study. A total of 11 Western countries participated in the 2015 edition.

Method

Random samples of practising GPs were drawn from government or private lists in each country (N = 12 049). Job stress was measured by the question: ‘How stressful is your job as a GP?’ (5-point Likert scale). Numerous practices’ organisation and functioning characteristics were considered. Multilevel mixed-effects ordered logistic regression was performed.

Results

The prevalence of job stress varied from 18% to 59% according to country. Job stress was higher among GPs aged 45–54 years (middle age) (odds ratio [OR] 1.35, 95% confidence interval [CI] = 1.07 to 1.70) and those practising in an urban area (OR 1.23, 95% CI = 1.15 to 1.31). It was also associated with a high weekly workload (OR 2.88, 95% CI = 2.38 to 3.50) if >50 hours/week workload, large administrative burden (OR 1.65, 95% CI = 1.44 to 1.89), long delays in receiving hospital discharge, poor possibilities in offering same-day appointments (OR 1.74, 95% CI = 1.18 to 2.56), and performance assessment (OR 1.15, 95% CI = 1.05 to 1.24). Finally, long consultations (OR 0.64, 95% CI = 0.53 to 0.76) and working with a case manager attached to the practice were associated with a lower job stress. The vast majority of results were consistent across the countries.

Conclusion

Heavy workloads and time pressure are clearly associated with GP job stress. However, organisational changes such as employing case managers and allowing longer consultations could potentially reduce this burden.