A Performance Assessment Method for Hospitals: The Case of Municipal Hospitals in Angola

Over 60% of the recurrent budget of the Ministry of Health (MoH) in Angola is spent on the operations of the fixed health care facilities (health centres plus hospitals). However, to date, no study has been attempted to investigate how efficiently those resources are used to produce health services. Therefore the objectives of this study were to assess the technical efficiency of public municipal hospitals in Angola; assess changes in productivity over time with a view to analyzing changes in efficiency and technology; and demonstrate how the results can be used in the pursuit of the public health objective of promoting efficiency in the use of health resources. The analysis was based on a 3-year panel data from all the 28 public municipal hospitals in Angola. Data Envelopment Analysis (DEA), a non-parametric linear programming approach, was employed to assess the technical and scale efficiency and productivity change over time using Malmquist index.The results show that on average, productivity of municipal hospitals in Angola increased by 4.5% over the period 2000–2002; that growth was due to improvements in efficiency rather than innovation.     

One-Year Temporal Changes in Long COVID Prevalence and Characteristics: A Systematic Review and Meta-Analysis

ObjectivesThis study aimed to explore the 1-year temporal change in prevalence, variety, and potential risk factors of long COVID symptoms and to further predict the prognostic trends of long COVID.MethodsWe searched electronic databases for related studies published from January 2020 to February 2022 and conducted 1-group meta-analysis and locally weighted regression to explore the monthly temporal change in the prevalence of each long COVID symptom in 1-year follow-up period.ResultsA total of 137 studies were included in meta-analysis, including 134 093 participants. The temporal change of any long COVID symptom showed a steep decrease initially (from 92% at acute phase to 55% at 1-month follow-up), followed by stabilization at approximately 50% during 1-year follow-up. Six months or more after the acute phase, the odds ratio of population characteristic–related factors increased, such as female (from 1.62 to 1.82), whereas the odds ratio value of acute phase–related factors (severe or critical cases and hospitalization) decreased. As for specific symptoms, approximately two-thirds of the symptoms did not significantly reduce during the 1-year follow-up, and the neuropsychiatric symptoms showed a higher long-term prevalence (approximately 25%) and longer persistence than physical symptoms.ConclusionsThe temporal changes in the prevalence and characteristics speculate that long COVID may persist longer than expected. In particular, we should pay more attention to neuropsychiatric symptoms and other symptoms for which there is no significant downward trend in prevalence. The influence of acute phase–related factors for long COVID gradually decreases over time, whereas the influence of population characteristic–related factors gradually increases.     

Using Medicare Enrollment Data to Identify Beneficiaries in Assisted Living

ObjectivesDevelop an approach for identifying Medicare beneficiaries residing in US assisted living (AL) communities in calendar year 2018.DesignWe used the following data sources: national directory of licensed ALs, file of US addresses and their associated 9-digit ZIP codes (ZIP+4), Medicare Enrollment Database (EDB), Master Beneficiary Summary File (MBSF), and the Minimum Data Set (MDS).Setting and ParticipantsA total of 412,723 Medicare beneficiaries who lived in ZIP+4 codes associated with an AL were identified as residents. Approximately 28% of the 16,682 ALs in which these beneficiaries resided were smaller communities (<25 beds).MethodsFor each AL, we identified ZIP+4 codes associated with its address. Using this ZIP+4 file, we searched through the Medicare EDB to identify beneficiaries who lived in each ZIP+4 code. The MBSF and MDS were used to exclude beneficiaries who died before 2018 and those whose AL and nursing home stays overlapped. We identified 3 cohorts of Medicare beneficiaries: (1) residents of a specific AL (one AL address per ZIP+4), (2) most likely AL residents, and (3) not likely AL residents. Comparisons across these cohorts were used to examine construct validity of our approach. Additional comparisons were made to AL residents based on the National Survey of Long-Term Care Providers (NSLTCP) and to fee-for-service (FFS) Medicare community-dwelling and long-stay nursing home residents.ResultsThe cohorts of beneficiaries identified as AL residents exhibited good construct validity. AL residents also showed similarity in demographic characteristics to the 2018 sample from the NSLTCP, and as expected were different from FFS community and nursing home beneficiaries.Conclusion and ImplicationsWe developed a methodology for identifying Medicare beneficiaries who reside in ALs. As this residential setting continues to grow, future studies will need effective approaches for identifying AL residents in order to evaluate the quality of care they receive.     

Complex Billing for Nonemergency Outpatient Imaging: An Obstacle to the Success of Health Care Price Transparency Initiatives

PurposeRecent price transparency initiatives have considerable limitations, notably due to the complexity of health care products. A single care encounter often consists of several services that may be performed by numerous clinicians and health care facilities that bill independently. The objective of this study was to describe the complexity in billing for nonemergency, noninvasive outpatient imaging and its variation across care delivery settings and imaging modalities.MethodsUsing billing records from the 2019 IBM MarketScan Commercial Database, the authors examined the number of billing entities involved in outpatient imaging encounters and the sets of relevant items and services for which patients were billed.ResultsIn total, 5,210,129 imaging encounters were analyzed. Patients received bills from multiple billing entities for 70.9% of hospital-based encounters, 4.5% of office-based encounters, and 7.6% of encounters at imaging centers. Contrast agent was billed separately from the imaging procedures in 55.9%, 71.5%, and 55.3% of encounters for contrast imaging at hospitals, offices, and imaging centers, respectively. Billing for other ancillary items and services (facility fees, 3-D reconstruction, anesthesia and sedation) was relatively rare.ConclusionsTwo key aspects of billing complexity may make obtaining complete and reliable price estimates before receiving outpatient imaging difficult for patients: the number of billing entities involved in care delivery and billing for fees and ancillary services beyond the primary imaging procedure. Given that price transparency initiatives are aimed primarily at helping patients anticipate the total cost of their care, policymakers, payers, and providers should take additional steps to provide patients with reliable information on the prices of entire care experiences.     

Food deserts in Korea? A GIS analysis of food consumption patterns at sub-district level in Seoul using the KNHANES 2008-2012 data

BACKGROUND/OBJECTIVESThe concept of "food deserts" has been widely used in Western countries as a framework to identify areas with constrained access to fresh and nutritious foods, providing guidelines for targeted nutrition and public health programs. Unlike the vast amount of literature on food deserts in a Western context, only a few studies have addressed the concept in an East Asian context, and none of them have investigated spatial patterns of unhealthy food consumption from a South Korean perspective.SUBJECTS/METHODSWe first evaluated the applicability of food deserts in a Korean setting and identified four Korean-specific unhealthy food consumption indicators, including insufficient food consumption due to financial difficulty, limited consumption of fruits and vegetables, excessive consumption of junk food, and excessive consumption of instant noodles. The KNHANES 2008-2012 data in Seoul were analyzed with stratified sampling weights to understand the trends and basic characteristics of these eating patterns in each category. GIS analyses were then conducted for the data spatially aggregated at the sub-district level in order to create maps identifying areas of concern regarding each of these indicators and their combinations.RESULTSDespite significant reduction in the rate of food insufficiency due to financial difficulty, the rates of excessive consumption of unhealthy foods (junk food and instant noodles) as well as limited consumption of fruits and vegetables have increased or remained high. These patterns tend to be found among relatively younger and more educated groups, regardless of income status.CONCLUSIONSA GIS-based analysis demonstrated several hotspots as potential "food deserts" tailored to the Korean context based on the observed spatial patterns of undesirable food consumption. These findings could be used as a guide to prioritize areas for targeted intervention programs to facilitate healthy food consumption behaviors and thus improve nutrition and food-related health outcomes.