METHODS: Data were derived from 360 inpatient medical records from six types C public and private hospitals in an Indonesian rural province. These data were accumulated from inpatient medical records from four major disciplines: medicine, surgery, obstetrics and gynecology, and pediatrics. The dependent variable was provider moral hazards, which included indicators of up-coding, readmission, and unnecessary admission. The independent variables are Physicians' characteristics (age, gender, and specialization), coders' characteristics (age, gender, education level, number of training, and length of service), and patients' characteristics (age, birth weight, length of stay, the discharge status, and the severity of patient's illness). We use logistic regression to investigate the determinants of moral hazard.
RESULTS: We found that the incidences of possible unnecessary admissions, up-coding, and readmissions were 17.8%, 11.9%, and 2.8%, respectively. Senior physicians, medical specialists, coders with shorter lengths of service, and patients with longer lengths of stay had a significant relationship with the incidence of moral hazard.
CONCLUSION: Unnecessary admission is the most common form of a provider's moral hazard. The characteristics of physicians and coders significantly contribute to the incidence of moral hazard. Hospitals should implement reward and punishment systems for doctors and coders in order to control moral hazards among the providers.
METHODS: We use qualitative data from 17 in-depth interviews conducted with key informants from civil society organisations, trade unions, academia, medical professionals, as well as migrant workers and their representatives. We interviewed doctors working in public hospitals and private clinics frequented by migrants. Data were analysed using thematic analysis.
RESULTS: We found that healthcare services in Malaysia are often inaccessible to migrant workers. Complex access barriers were identified, many beyond the control of the health sector. Major themes include affordability and financial constraints, the need for legal documents like valid passports and work permits, language barriers, discrimination and xenophobia, physical inaccessibility and employer-related barriers. Our study suggests that government mandated insurance for migrant workers is insufficient in view of the recent increase in medical fees. The perceived close working relationship between the ministries of health and immigration effectively excludes undocumented migrants from access to public healthcare facilities. Language barriers may affect the quality of care received by migrant workers, by inadvertently resulting in medical errors, while preventing them from giving truly informed consent.
CONCLUSIONS: We propose instituting migrant-friendly health services at public facilities. We also suggest implementing a comprehensive health insurance to enable healthcare access and financial risk protection for all migrant workers. Non-health sector solutions include the formation of a multi-stakeholder migration management body towards a comprehensive national policy on labour migration which includes health.
METHODS AND FINDINGS: This is a retrospective cohort study of all adult people living with HIV (PLWH) incarcerated in Connecticut, US, during the period January 1, 2007, to December 31, 2011, and observed through December 31, 2014 (n = 1,094). Most cohort participants were unmarried (83.7%) men (77.0%) who were black or Hispanic (78.1%) and acquired HIV from injection drug use (72.6%). Prison-based pharmacy and custody databases were linked with community HIV surveillance monitoring and case management databases. Post-release RIC declined steadily over 3 years of follow-up (67.2% retained for year 1, 51.3% retained for years 1-2, and 42.5% retained for years 1-3). Compared with individuals who were not re-incarcerated, individuals who were re-incarcerated were more likely to meet RIC criteria (48% versus 34%; p < 0.001) but less likely to have VS (72% versus 81%; p = 0.048). Using multivariable logistic regression models (individual-level analysis for 1,001 individuals after excluding 93 deaths), both sustained RIC and VS at 3 years post-release were independently associated with older age (RIC: adjusted odds ratio [AOR] = 1.61, 95% CI = 1.22-2.12; VS: AOR = 1.37, 95% CI = 1.06-1.78), having health insurance (RIC: AOR = 2.15, 95% CI = 1.60-2.89; VS: AOR = 2.01, 95% CI = 1.53-2.64), and receiving an increased number of transitional case management visits. The same factors were significant when we assessed RIC and VS outcomes in each 6-month period using generalized estimating equations (for 1,094 individuals contributing 6,227 6-month periods prior to death or censoring). Additionally, receipt of antiretroviral therapy during incarceration (RIC: AOR = 1.33, 95% CI 1.07-1.65; VS: AOR = 1.91, 95% CI = 1.56-2.34), early linkage to care post-release (RIC: AOR = 2.64, 95% CI = 2.03-3.43; VS: AOR = 1.79; 95% CI = 1.45-2.21), and absolute time and proportion of follow-up time spent re-incarcerated were highly correlated with better treatment outcomes. Limited data were available on changes over time in injection drug use or other substance use disorders, psychiatric disorders, or housing status.
CONCLUSIONS: In a large cohort of CJ-involved PLWH with a 3-year post-release evaluation, RIC diminished significantly over time, but was associated with HIV care during incarceration, health insurance, case management services, and early linkage to care post-release. While re-incarceration and conditional release provide opportunities to engage in care, reducing recidivism and supporting community-based RIC efforts are key to improving longitudinal treatment outcomes among CJ-involved PLWH.
MATERIALS AND METHODS: Twelve focus group discussions (n = 64) were conducted with women with breast cancer from two public and three private hospitals. This study specifically focused on (a) health costs, (b) nonhealth costs, (c) employment and earnings, and (d) financial assistance. Thematic analysis was used.
RESULTS: Financial needs related to cancer treatment and health care varied according to the participant's socioeconomic background and type of medical insurance. Although having medical insurance alleviated cancer treatment-related financial difficulties, limited policy coverage for cancer care and suboptimal reimbursement policies were common complaints. Nonhealth expenditures were also cited as an important source of financial distress; patients from low-income households reported transport and parking costs as troublesome, with some struggling to afford basic necessities, whereas participants from higher-income households mentioned hired help, special food and/or supplements and appliances as expensive needs following cancer. Needy patients had a hard time navigating through the complex system to obtain financial support. Irrespective of socioeconomic status, reductions in household income due to loss of employment and/or earnings were a major source of economic hardship.
CONCLUSION: There are many unmet financial needs following a diagnosis of (breast) cancer even in settings with universal health coverage. Health care professionals may only be able to fulfill these unmet needs through multisectoral collaborations, catalyzed by strong political will.
IMPLICATIONS FOR PRACTICE: As unmet financial needs exist among patients with cancer across all socioeconomic groups, including for patients with medical insurance, financial navigation should be prioritized as an important component of cancer survivorship services, including in the low- and middle-income settings. Apart from assisting survivors to understand the costs of cancer care, navigate the complex system to obtain financial assistance, or file health insurance claims, any planned patient navigation program should also provide support to deal with employment-related challenges and navigate return to work. It is also echoed that costs for essential personal items (e.g., breast prostheses) should be covered by health insurance or subsidized by the government.
METHODS: By using the results from the fourth survey of Research on Asian Prescription Patterns on antipsychotics, the rates of polypharmacy and combined medication use in each country were analyzed. Daily medications prescribed for the treatment of inpatients or outpatients with schizophrenia, including antipsychotics, mood stabilizers, anxiolytics, hypnotics, and antiparkinson agents, were collected. Fifteen countries from Asia participated in this study.
RESULTS: A total of 3744 patients' prescription forms were examined. The prescription patterns differed across these Asian countries, with the highest rate of polypharmacy noted in Vietnam (59.1%) and the lowest in Myanmar (22.0%). Furthermore, the combined use of other medications, expressed as highest and lowest rate, respectively, was as follows: mood stabilizers, China (35.0%) and Bangladesh (1.0%); antidepressants, South Korea (36.6%) and Bangladesh (0%); anxiolytics, Pakistan (55.7%) and Myanmar (8.5%); hypnotics, Japan (61.1%) and, equally, Myanmar (0%) and Sri Lanka (0%); and antiparkinson agents, Bangladesh (87.9%) and Vietnam (10.9%). The average psychotropic drug loading of all patients was 2.01 ± 1.64, with the highest and lowest loadings noted in Japan (4.13 ± 3.13) and Indonesia (1.16 ± 0.68), respectively.
CONCLUSION: Differences in psychiatrist training as well as the civil culture and health insurance system of each country may have contributed to the differences in these rates. The concept of drug loading can be applied to other medical fields.
METHODS: This was a retrospective, non-interventional, cohort study using data from a Japanese medical claims database. Patients with glaucoma aged ≥20 years with a first drug claim for glaucoma treatment between 01 July 2005 and 30 October 2014 and with data for > 6 months before and after this first prescription were included. The primary endpoint was duration of drug persistence among glaucoma patients with and without the use of fixed combination drugs in the year following initiation of second-line combination treatment.
RESULTS: Of 1403 patients included in the analysis, 364 (25.94%) received fixed combination drugs and 1039 (74.06%) received unfixed combination drugs as second-line treatment. Baseline characteristics were generally comparable between the groups. A total of 39.01% of patients on fixed combination drugs, compared with 41.67% of patients on unfixed combination drugs, persisted on their glaucoma drugs 12 months post second-index date. Median persistence durations for the fixed combination drugs and unfixed combination drugs groups were 6 (95% confidence interval [CI]: 5-8) and 7 months (95% CI 6-9), respectively. Patients who received prostaglandin analogs (PGAs) were the most persistent with their treatment (n = 99, 12.84%). Patients diagnosed with primary open-angle glaucoma were less likely to experience treatment modification (hazard ratio [HR]: 0.800, 95% CI 0.649-0.986, P = 0.036), while those diagnosed with secondary glaucoma were more likely to experience treatment modification (HR: 1.678, 95% CI 1.231-2.288, P = 0.001) compared with glaucoma suspects.
CONCLUSIONS: In this retrospective claims database study, the persistence rate of second-line glaucoma combination treatment was low, with no difference in persistence between glaucoma patients receiving unfixed combination drugs compared with fixed combination drugs. Patients on PGA showed greater persistence rates compared with other treatments.
DESIGN: This qualitative study employed an interpretive descriptive approach. Two trained researchers conducted in-depth interviews (IDIs) and focus group discussions (FGDs) using a semi-structured topic guide, which was developed based on literature review and behavioural theories. All IDIs and FGDs were audio-recorded and transcribed verbatim. Two researchers analysed the data independently using a thematic approach.
PARTICIPANTS AND SETTING: Men working in a banking institution in Kuala Lumpur were recruited to the study. They were purposively sampled according to their ethnicity, job position, age and screening status in order to achieve maximal variation.
RESULTS: Eight IDIs and five FGDs were conducted (n=31) and six themes emerged from the analysis. (1) Young men did not consider screening as part of prevention and had low risk perception. (2) The younger generation was more receptive to health screening due to their exposure to health information through the internet. (3) Health screening was not a priority in young men except for those who were married. (4) Young men had limited income and would rather invest in health insurance than screening. (5) Young men tended to follow doctors' advice when it comes to screening and preferred doctors of the same gender and ethnicity. (6) Medical overuse was also raised where young men wanted more screening tests while doctors tended to promote unnecessary screening tests to them.
CONCLUSIONS: This study identified important factors that influenced young men's screening behaviour. Health authorities should address young men's misperceptions, promote the importance of early detection and develop a reasonable health screening strategy for them. Appropriate measures must be put in place to reduce low value screening practices.