User fees and drug pricing policies: a study at Harare Central Hospital, Zimbabwe. (9/393)

In 1991, Zimbabwe introduced cost recovery measures as part of its programme of economic reforms, following a course taken by many developing countries. The system of user fees in public health care, aimed to 'protect and support the vulnerable groups' by exemption or incremental fees based on 4 income brackets. Drugs were charged at a percentage of the recommended retail price in the private sector. This study of 488 outpatients at a referral hospital in Harare examined how the new fee system functioned 6 months after its introduction. Patients were interviewed and their prescription records examined. Mean charges were determined for each fee category and revenue from drug charges was analyzed in relation to purchase cost to determine the gross profit. 31% of patients were exempted from all fees upon proof of monthly earnings of less than Z$150 (Z$5 = US$1). The remainder were classified into three fee-paying categories. The mean purchase cost for drug items was Z$3.89 per outpatient prescription. Outpatients paid a mean drug charge of Z$9.75 after exemption or discount. This was 2.5 times the cost price. The number of drug items obtained differed according to fee status: the fee-exempt category received a mean of 2.9 drug items compared with 1.9 drug items in the fee-paying categories. This difference originated at the point of prescribing. A number of practical problems in fee collection were noted. The drug pricing system generated high profit even after re-distribution to low-income users. This was attributed to economical and rationalized public sector drug procurement. Observation indicated that a proportion of the vulnerable were not effectively protected due to stringent requirements for proof of income. Appraisal of the fee policy indicated the need for more effective cross-subsidy and better administrative procedures; fee revenue should be directed towards improvement in quality of service.  (+info)

The fall and rise of cost sharing in Kenya: the impact of phased implementation. (10/393)

The combined effects of increasing demand for health services and declining real public resources have recently led many governments in the developing world to explore various health financing alternatives. Faced with a significant decline during the 1980s in its real per capita expenditures, the Kenya Ministry of Health (MOH) introduced a new cost sharing programme in December 1989. The programme was part of a comprehensive health financing strategy which also included social insurance, efficiency measures, and private sector development. Early implementation problems led to the suspension in September 1990 of the outpatient registration fee, the major revenue source at the time. In 1991, the Ministry initiated a programme of management improvement and gradual re-introduction of an outpatient fee, but this time as a treatment fee. The new programme was carried out in phases, beginning at the national and provincial levels and proceeding to the local level. The impact of these changes was assessed with national revenue collection reports, quality of care surveys in 6 purposively selected indicator districts, and time series analysis of monthly utilization in these same districts. In contrast to the significant fall in revenue experienced over the period of the initial programme, the later management improvements and fee adjustments resulted in steady increases in revenue. As a percentage of total non-staff expenditures, fiscal year 1993-1994 revenue is estimated to have been 37% at provincial general hospitals, 20% at smaller hospitals, and 21% at health centres. Roughly one third of total revenue is derived from national insurance claims. Quality of care measures, though in some respects improved with cost sharing, were in general somewhat mixed and inconsistent. The 1989 outpatient registration fee led to an average reduction in utilization of 27% at provincial hospitals, 45% at district hospitals, and 33% at health centres. In contrast, phased introduction of the outpatient treatment fee beginning in 1992, combined with somewhat broader exemptions, was associated with much smaller decreases in outpatient utilization. It is suggested that implementing user fees in phases by level of health facility is important to gain patient acceptance, to develop the requisite management systems, and to orient ministry staff to the new systems.  (+info)

Alternative insurance arrangements and the treatment of depression: what are the facts? (11/393)

Using insurance claims data from nine large self-insured employers offering 26 alternative health benefit plans, we examine empirically how the composition and utilization for the treatment of depression vary under alternative organizational forms of insurance (indemnity, preferred provider organization networks, and mental health carve-outs), and variations in patient cost-sharing (copayments for psychotherapy and for prescription drugs). Although total outpatient mental health and substance abuse expenditures per treated individual do not vary significantly across insurance forms, the depressed outpatient is more likely to receive anti-depressant drug medications is preferred provider organizations and carve-outs than when covered by indemnity insurance. Those individuals facing higher copayments for psychotherapy are more likely to receive anti-depressant drug medications. For those receiving treatment, increases in prescription drug copayments tend to increase the share of anti-depressant drug medication costs accounted for by the newest (and more costly) generation of drugs, the selective serotonin reuptake inhibitors.  (+info)

Effect of a drug supply and cost sharing system on prescribing and utilization: a controlled trial from Nepal. (12/393)

The effect on prescribing habits of a drug supply and cost sharing system was studied in a hill district in Nepal. In this district the inadequate yearly supply of drugs from the government was supplemented by an extra supply from the project. Drugs were sold at a fixed prescription charge which covered all drugs for one episode of illness. The prescribing pattern in this district was compared to a control district with only the yearly government drug supply and no drug scheme. Drugs prescribed were also compared to theoretical needs based on the recorded diagnoses of the same patients and recommended treatment guidelines. Attendance figures were studied before and after the introduction of the drug scheme in the test district. A 25% sample of prescriptions was taken from all health posts in both districts, over a one year period. This was in total 11,772 prescriptions from 22 health posts. The results show that in the drug scheme district health workers prescribed essential drugs excessively. However, the doses that were prescribed were somewhat better than in the control district. Utilization of health facilities dropped by 18% in the drug scheme district and then increased in the second year. A supply of essential drugs does not necessarily improve the quality of care, or increase attendance levels. The WHO indicators designed to assess the quality of drug use at health facilities can give a misleading picture, as they do not include information on dosages. The effect on quality of care of supply and financing mechanisms needs further study.  (+info)

Stop-loss insurance: are you tempting fate? (13/393)

Capitation is a gamble, but stop-loss insurance can keep physician groups from losing their shirts. Who needs it? That depends on the type of contract and many other factors.  (+info)

Cost recovery in Ghana: are there any changes in health care seeking behaviour? (14/393)

The study aimed to investigate the impact on health care seeking behaviour of the cost-sharing policies introduced in Ghana between 1985 and 1992. Qualitative research techniques were used to investigate the behaviour of patients after the introduction of these policies. Focus group discussions of cohorts of the population and in-depth interviews of health workers and selected opinion leaders were used to collect data from rural and urban health care facilities in three districts of Ghana. The study findings indicate that the cost recovery policies have led to an increase in self-medication and other behaviours aimed at cost-saving. At the same time, there is a perception of an improvement in the drug supply situation and general health delivery in government facilities. The study advocated enhanced training of drug peddlers and attendants at drug stores, especially in rural areas. User fee exemption criteria need to be worked out properly and implemented so that the very needy are not precluded from seeking health care at hospitals and clinics.  (+info)

Does competition by health maintenance organizations affect the adoption of cost-containment measures by fee-for-service plans? (15/393)

How groups insured by fee-for-service health plans react to increased competition from health maintenance organizations (HMOs) is an unresolved question. We investigated whether groups insured by indemnity plans respond to HMO market competition by changing selected health insurance features, such as deductible amounts, stop loss levels, and coinsurance rates, or by adopting utilization management or preferred provider organization (PPO) benefit options. We collected benefit design data for the years 1985 through 1992 from 95 insured groups in 62 US metropolitan statistical areas. Multivariate hazard analysis showed that groups located in markets with higher rates of change in HMO enrollment were less likely to increase deductibles or stop loss levels. Groups located in markets with higher HMO enrollment were more likely to adopt utilization management or PPO benefit options. A group located in a market with an HMO penetration rate of 20% was 65% more likely to have included a PPO option as part of its insurance benefit plan than a group located in a market with an HMO penetration rate of 15% (p < 0.05). Concern about possible adverse selection effects may deter some fee-for-service groups from changing their health insurance coverage. Under some conditions, however, groups insured under fee-for-service plans do respond to managed care competition by changing their insurance benefits to achieve greater cost containment.  (+info)

Device evaluation and coverage policy in workers' compensation: examples from Washington State. (16/393)

Workers' compensation health benefits are broader than general health benefits and include payment for medical and rehabilitation costs, associated indemnity (lost time) costs, and vocational rehabilitation (return-to-work) costs. In addition, cost liability is for the life of the claim (injury), rather than for each plan year. We examined device evaluation and coverage policy in workers' compensation over a 10-year period in Washington State. Most requests for device coverage in workers' compensation relate to the diagnosis, prognosis, or treatment of chronic musculoskeletal conditions. A number of specific problems have been recognized in making device coverage decisions within workers' compensation: (1) invasive devices with a high adverse event profile and history of poor outcomes could significantly increase both indemnity and medical costs; (2) many noninvasive devices, while having a low adverse event profile, have not proved effective for managing chronic musculoskeletal conditions relevant to injured workers; (3) some devices are marketed and billed as surrogate diagnostic tests for generally accepted, and more clearly proven, standard tests; (4) quality oversight of technology use among physicians may be inadequate; and (5) insurers' access to efficacy data adequate to make timely and appropriate coverage decisions in workers' compensation is often lacking. Emerging technology may substantially increase the costs of workers' compensation without significant evidence of health benefit for injured workers. To prevent ever-rising costs, we need to increase provider education and patient education and consent, involve the state medical society in coverage policy, and collect relevant outcomes data from healthcare providers.  (+info)