Characteristics of Gastroenteritis Outbreaks Investigated in Singapore: 2018-2021.

There is a need to study the characteristics of outbreaks via Singapore's outbreak surveillance system to understand and identify the gaps in food safety for targeted policy interventions due to the increasing trend in gastroenteritis outbreaks and consequential increase in foodborne-related deaths and economic burden on public health systems worldwide. A total of 171 gastroenteritis outbreaks were investigated in Singapore from January 2018 to December 2021. This study analyzed the annual trend of investigated gastroenteritis outbreaks, the proportion of outbreaks by implicated sources of food, and the proportion of the type of pathogens identified from human cases, food samples, and environmental swabs collected from outbreak investigations. Among the foodborne gastroenteritis outbreaks (n = 121) investigated in Singapore, approximately 42.1% of the outbreaks had food prepared by caterers, 14.9% by restaurants, and 12.4% had food prepared by in-house kitchens. Clostridium perfringens and Salmonella were the most common causative pathogens in foodborne outbreaks throughout the analysis period. The food samples and environmental swabs collected were mostly detected for Bacillus cereus. Norovirus was the most common causative pathogen in non-foodborne outbreaks and was mainly attributable to preschools. This highlights the importance of monitoring and educating the catering industry and preschools to prevent future outbreaks.

Private versus public? Examining hospital use by a privately insured population in New South Wales, Australia, using data linkage.

Objective To examine hospital use characteristics of a privately insured cohort including hospital setting (public or private), declared insurance status and category of services received during hospital admission. Methods The study population consisted of 14276 people with membership of a private health insurance (PHI) fund in New South Wales, Australia. The final study cohort included 9004 people with at least one hospital admission over a 6-year period from 1 January 2010 to 31 December 2015. PHI claims data were linked with public hospital records from a Local Health District. Hospital utilisation measures include number of admissions and length of stay. Measures were categorised by hospital user group (public only, private only or both), declared insurance status (PHI or public patient), type of service and admission case weight. Results The study finds that despite having PHI, 40% of people receive services exclusively in a public hospital in the 6-year study period. Additionally, only 62% of overnight hospital admissions for the study population are claimed on PHI. There are differences in hospital utilisation for medical- and surgical-related admissions. Seventy percent of people with a medical admission receive services only in public hospitals, but a similar proportion of people (66%) receive services only in private hospitals for surgical admissions. Conclusions People with PHI make considerable use of public hospitals both as a public and a private patient. For this privately insured cohort, public hospitals are more frequently used for medical-related admissions and also for more resource-intensive admissions compared with private hospitals. What is known about the topic? There are multiple government incentives to encourage people to take out PHI policies in Australia. Although PHI is closely associated with private hospital utilisation, people with PHI can still use public hospitals as either a public patient, in which the service is fully government-funded, or as a private patient in which PHI contributes funding towards the cost of hospital admissions. What does this paper add? This study provides the first analysis of hospital utilisation of a privately insured cohort in Australia that reports on the interaction between public and private hospital use and declared insurance status, including utilisation differences based on service type. What are the implications for practitioners? Although there are financial incentives offered by the Australian Government to encourage uptake of PHI, the study findings show that people with PHI still make considerable use of public hospitals both as a public and private patient. Future policy reforms relating to the regulation of PHI in Australia should consider the nuanced differences in the way people with PHI use public and private hospitals to optimise resource allocation.

Emerging role of the Australian private health insurance sector in providing chronic disease management programs: current activities, challenges and constraints.

Objective This study explored the current activities of a sample of Australian private health insurance (PHI) funds to support the care of people living with chronic conditions, following changes to PHI legislation in 2007 permitting funds to cover a broader range of chronic disease management (CDM) services. Methods A qualitative research design was used to gather perspectives from PHI sector representatives via semistructured interviews with eight participants. The interview data were analysed systematically using the framework analysis method. Results Three main types of activities were most commonly identified: (1) healthcare navigation; (2) structured disease management and health coaching programs; and (3) care coordination services. These activities were primarily conducted via telephone by a combination of in-house and third-party health professionals. PHI funds seem to be taking a pragmatic approach to the type of CDM activities currently offered, guided by available data and identified member need. Activities are focused on people with diagnosed chronic conditions exiting hospital, rather than the broader population at-risk of developing a chronic condition. Conclusions Despite legislation permitting PHI funds to pay benefits for CDM services being in place for more than 10 years, insurers are still in an early stage of implementation and evaluation of CDM activities. Primarily due to the regulated scope of PHI coverage in Australia, participants reported several challenges in providing CDM services, including identifying target groups, evaluating service outcomes and collaborating with other healthcare providers. The effectiveness of the approach of PHI funds to CDM in terms of the groups targeted and outcomes of services provided still needs to be established because evidence suggests that population-level interventions that target a larger number of people with lower levels of risks are likely to have greater benefit than targeting a small number of high-risk cases. What is known about the topic? Since 2007, PHI funds in Australia have been able to pay benefits for a range of out-of-hospital services, focused on CDM. Although a small number of program evaluations has been published, there is little information on the scope of activities and the factors influencing the design and implementation of CDM programs. What does this paper add? This paper presents the findings of a qualitative study reporting on the CDM activities offered by a sample of PHI funds, their approach to delivery and the challenges and constraints in designing and implementing CDM activities, given the PHI sector's role as a supplementary health insurer in the Australian health system. What are the implications for practitioners? Current CDM activities offered by insurers focus on health navigation advice, structured, time-limited CDM programs and care coordination services for people following a hospital admission. There is currently little integration of these programs with the care provided by other health professionals for a person accessing these services. Although the role of insurers is currently small, the movement of insurers into service provision raises considerations for managing potential conflicts in having a dual role as an insurer and provider, including the effectiveness and value of services offered, and how these programs complement other types of health care being received.

Utilisation patterns of privately funded mental health services in Australia.

PURPOSE: The purpose of this paper is twofold: first, to present patient-level utilisation patterns of hospital-based mental health services funded by private health insurers; and second, to examine the implications of the findings for planning and delivering private mental health services in Australia. DESIGN/METHODOLOGY/APPROACH: Analysing private health insurance claims data, this study compares differences in demographic and hospital utilisation characteristics of 3,209 patients from 13 private health insurance funds with claims for mental health-related hospitalisations and 233,701 patients with claims for other types of hospitalisations for the period May 2014 to April 2016. Average number of overnight admissions, length of stay and per patient insurer costs are presented for each group, along with overnight admissions vs same-day visits and repeat services within a 28-day period following hospitalisation. Challenges in analysing and interpreting insurance claims data to better understand private mental health service utilisation are discussed. FINDINGS: Patients with claims for mental health-related hospitalisations are more likely to be female (62.0 per cent compared to 55.8 per cent), and are significantly younger than patients with claims for other types of hospitalisations (32.6 per cent of patients aged 55 years and over compared to 57.1 per cent). Patients with claims for mental health-related hospitalisations have significantly higher levels of service utilisation than the group with claims for other types of hospitalisations with a mean length of stay per overnight admission of 15.0 days (SD=14.1), a mean of 1.3 overnight admissions annually (SD=1.2) and mean hospital costs paid by the insurer of $13,192 per patient (SD=13,457) compared to 4.6 days (SD=7.3), 0.8 admissions (SD=0.6) and $2,065 per patient (SD=4,346), respectively, for patients with claims for other types of hospitalisations. More than half of patients with claims for mental health-related hospitalisations only claim for overnight admissions. However, the findings are difficult to interpret due to the limited information collected in insurance claims data. PRACTICAL IMPLICATIONS: This study shows the challenges of understanding utilisation patterns with one data source. Analysing insurance claims reveals information on mental health-related hospitalisations but information on community-based care is lacking due to the regulated role of the private health insurance sector in Australia. For mental health conditions, and other chronic health conditions, multiple data sources need to be integrated to build a comprehensive picture of health service use as care tends to be provided in multiple settings by different medical and allied health professionals. ORIGINALITY/VALUE: This study contributes in two areas: patient-level trends in hospital-based mental health service utilisation claimed on private health insurance in Australia have not been previously reported. Additionally, as the amount of data routinely collected in health care settings increases, the study findings demonstrate that it is important to assess the quality of these data sources for understanding service utilisation.

Analysing health data sources to inform chronic disease management decisions of health insurers: A mixed methods study.

Background and Objective: Both health care providers and payers recognize the need to improve chronic disease care. Chronic disease management relies on high-quality health information for people with, and at risk of developing, chronic diseases. This article focuses on the health insurance sector and investigates ways that payment claims data and other data sources can provide useful information to support chronic disease management interventions. Methods and Results: In this mixed methods study, we first examine methods of selecting target populations from insurance claims data for common chronic conditions-diabetes, cardiovascular disease, and mental health disorders. The analysis of claims data reveals data quality issues and indicates that other data sources should be considered to provide additional information. We undertake a qualitative review of factors influencing the development of information systems for chronic disease management that use multiple data sources. Conclusions: Claims data should be supplemented with other data to inform chronic disease management. The article proposes a conceptual framework with four domains that need to be considered when developing chronic disease information systems using multiple data sources-information requirements, data sources, data collection, and information systems integration. There are policy and organizational factors that influence framework implementation.

Examining the high users of hospital resources: implications of a profile developed from Australian health insurance claims data.

Objective To develop and examine a profile of the demographic, hospital admission and clinical characteristics of high users of hospital resources within a cohort of privately insured Australians. Methods Hospital admissions claims data from a group of private health insurance funds were analysed. The top 1% of hospital users were selected based on three measures of resource utilisation: number of admissions, total bed days and total insurance benefits paid. The demographic, hospital admission and clinical characteristics data were compared for these three measures of resource utilisation. Results Compared with the general insured population, the three high-use cohorts are older, have more public hospital admissions and have more same-day admissions. The three high-use cohorts have the same top five principal diagnosis categories. These five categories account for more than two-thirds of admissions. The top 1% of users is responsible for a large proportion of total resource utilisation, accounting for 13% of total costs and 21% of total bed days. Conclusions The highest users of hospital resources have a distinct profile, accounting for a large proportion of total resource utilisation for a narrow range of health conditions. The age and hospital admission profile of this group suggest both policy and service considerations for the targeting of interventions to support this high-needs group. What is known about this topic? Statistics are regularly published on the uptake and use of private health insurance in Australia but there is little detailed information on resource utilisation in specific subgroups, particularly those with the highest levels of hospitalisation. What does this paper add? This paper provides a profile of high resource utilisation among a privately insured cohort, describing demographic, hospital admission and clinical characteristics across three measures of resource utilisation. Patterns of use are detailed in this profile, for example the top 1% of users have a higher proportion of public hospital admissions as a private patient. The clinical profile of admissions was similar for the three measures of resource utilisation and there was considerable overlap in the individuals categorised in each high-use group. What are the implications for practitioners? The narrow demographic and clinical profile of the high resource utilisation groups shows a chronic disease burden that is different to the focus of current chronic disease policy measures. The high-use conditions identified in this study are less amenable to preventive measures and new strategies may be required to target this high-needs group.