Published national pandemic influenza preparedness plans from Latin American countries were evaluated against criteria drawn from the World Health Organization checklist. Plans were eligible for inclusion if formally published before 16 November 2007.

Fifteen national plans were identified and retrieved from the 17 Latin American countries surveyed. Latin American countries demonstrated different degrees of preparedness, and that a high level of completeness of plans was correlated to a country's wealth to a certain extent. Plans were judged strong in addressing surveillance requirements, and provided appropriate communication strategies directed to the general public and health care personnel. However, gaps remained, including the organization of health care services’ response; planning and maintenance of essential services; and the provision of containment measures such as the stockpiling of necessary medical supplies including vaccines and antiviral medications. In addition, some inconsistencies and variations which may be important, such as in border control measures and the capacity to contain outbreaks, exist between country plans—issues that could result in confusion in the event of a pandemic. A number of plans remain developmental in nature and, as elsewhere, more emphasis should be placed on strengthening the operability of plans, and in testing them. Whilst taking account of resources constraints, plans should be further developed in a coherent manner with both regional and international imperatives.

Methods Number of measles cases and routine measles vaccination coverage reported by each district were obtained from the National Health Management Information System reports of 1997 to 2007. The immunization coverage by district in a given year was calculated by dividing the number of children immunized by the projected population in the same age category. Annual measles incidence for each year was derived by dividing the number of cases in a year by the mid-year projected population. Commercial measles IgM enzyme-linked immunoassay kits were used to confirm measles cases.

Results Routine measles immunization coverage increased from 64% in 1997 to 90% in 2004, then stabilized around 87%. The 2003 national measles catch-up and 2006 follow-up campaigns reached 100% of children targeted with a measles supplemental dose. Over 80% coverage was also achieved with other child survival interventions. Case-based measles surveillance was rolled out nationwide to provide continuous epidemiological monitoring of measles occurrence. Following a 93% decline in measles incidence and no measles deaths, epidemic resurgence of measles occurred 3 years after a measles campaign targeting a wide age group, but no indigenous measles virus (D₁₀) was isolated. Recurrence was delayed in regions where children were offered an early second opportunity for measles vaccination.

Conclusion The integrated routine and campaign approach to providing a second opportunity for measles vaccination is effective in interrupting indigenous measles transmission and can be used to deliver other child survival interventions. Measles control can be sustained and the inter-epidemic interval lengthened by offering an early second opportunity for measles vaccination through other health delivery strategies.

Methods We pooled four Indonesian Demographic and Health Surveys and used multivariate logistic regression to analyse trends in first-day and early neonatal mortality. We measured the effect of the context of delivery, including place and type of provider, and tested for changes in trend when the ‘Midwife in the Village’ programme was initiated.

Results Reported first-day mortality did not decrease significantly between 1986 and 2002, whereas early neonatal mortality decreased by an average of 3.2% annually. The rate of the decline did not change over the time period, either in 1989 when the Midwife in the Village programme was initiated, or in any year following when uptake of professional care increased. In simple and multivariate analyses, there were no significant differences in first-day or early neonatal death rates comparing home-based births with or without a professional midwife. Early neonatal mortality was higher in public facilities, likely due to selection. Biological determinants (twin births, male sex, short birth interval, previous early neonatal loss) were important for both outcomes.

Conclusions Decreasing newborn death rates in Indonesia are encouraging, but it is not clear that these decreases are associated with greater uptake of professional delivery care at home or in health facilities. This may suggest a need for improved training in immediate newborn care, strengthened emergency referral, and continued support for family planning policies.

Methods In a population-based survey in 2003, 6345 women who had given birth in the previous 24 months were interviewed about the costs incurred during childbirth. Three years later, in 2006, an additional 8302 women with recent deliveries were interviewed in the same districts to explore their maternity care-seeking experiences and associated costs.

Findings The majority of women interviewed reported paying out-of-pocket costs for facility-based deliveries. Out-of-pocket costs were highest in Kenya (a mean of US$18.4 for normal and complicated deliveries), where 98% of women who delivered in a health facility had to pay some fees. In Burkina Faso, 92% of women reported paying some fees (mean of US$7.9). Costs were lowest in Tanzania, where 91% of women reported paying some fees (mean of US$5.1). In all three countries, women in the poorest wealth quintile did not pay significantly less for maternity costs than the wealthiest women. Costs for complicated delivery were double those for normal delivery in Burkina Faso and Kenya, and represented more than 16% of mean monthly household income in Burkina Faso, and 35% in Kenya. In Tanzania and Burkina Faso most institutional births were at mid-level government health facilities (health centres or dispensaries). In contrast, in Kenya, 42% of births were at government hospitals, and 28% were at private or mission facilities, contributing to the overall higher costs in this country compared with Burkina Faso and Tanzania. However, among women delivering in government health facilities in Kenya, reported out-of-pocket costs were significantly lower in 2006 than in 2003, indicating that a 2004 national policy eliminating user fees at mid- and lower-level government health facilities was having some impact.

The performance of the CHF programme demonstrates that complex community-based health financing schemes can be implemented in post-conflict settings like Afghanistan, except in areas of high insecurity. The funds raised from the community, via premiums and user fees, enabled the pilot facilities to overcome temporary shortages of drugs and supplies, and to conduct outreach services via mobile clinics. However, enrolment and cost-recovery were modest. The median enrolment rate for premium-paying households was 6% of eligible households in the catchment areas of the clinics. Cost recovery rates ranged up to 16% of total operating costs and 32% of non-salary operating costs. No evidence of reduced out-of-pocket health expenditures was observed at the community level, though CHF members had markedly higher utilization of health services. The main reasons among non-members for not enrolling were being unaware of the programme; high premiums; and perceived low quality of services at the CHF clinics.

The performance of Afghanistan's CHF was similar to other CHF-type programmes operating at the primary care level internationally. The solution to building local capacity to finance health services lies in a combination of financing sources rather than any single mechanism. In this context, it is critical that international assistance for Afghanistan's health sector continues.

Methods Data are from post-mortem interviews with close relatives or caretakers of the deceased. We provide descriptive statistics of health care utilization in adults and discuss their covariates in multivariate analyses.

Results Over 85% of terminally sick patients visited a modern medical facility, but less than 40% spent more than 24 hours in a medical facility and only 25% died in one. Traditional healer (11%) and holy water (46%) visits offer a common treatment and healing alternative, but these visits do not co-vary in any consistent manner with the utilization of modern medical services. In terms of the cause of death, we find a higher contact rate with both modern and alternative medical service providers among TB/AIDS patients compared with those suffering from other medical conditions. The duration of illness seems to account for a good share of that variability. Other covariates of health services utilization are socio-economic status, education and age.

Conclusions The contact rate of adults with modern medical facilities in terminal illness is almost universal, but their usage intensity is rather low. Alternative curative options are less commonly used, and do not exclude modern health services use. This suggests that both types of services are considered complements rather than alternatives for each other. Because the contact rate with health service providers is greatest for TB/AIDS patients, it is unlikely that HIV/AIDS-related stigma is an impediment to seeking care. We cannot exclude, however, that it delays health-seeking behaviour.

Methods Q* consists of measures of clinical performance, patient satisfaction and volume of physician services. We evaluate Q* using experimental data from the Quality Improvement Demonstration Study (QIDS), a randomized policy experiment. We determined its responsiveness over time and to changes in structural measures such as staffing and supplies. We also examined the operational costs of implementing Q*.

Results Q* was sustainable, minimally disruptive and readily grafted into existing routines in 30 hospitals in 10 provinces semi-annually for a period of 21/2 years. We found Q* to be more responsive to immediate impacts of policy change than standard structural measures. The operational costs totalled US$2133 or US$305 per assessment per site.

Conclusion Q* appears to be an achievable assessment tool that is a comprehensive and responsive measure of system level quality at a limited cost in resource-poor settings.

The study was cross-sectional and descriptive. Information was collected from 174 patients selected by simple random sampling from the register of all patients who had been on anti-retroviral therapy (ART) for at least 12 months at the beginning of the study period. Patients were identified during their clinic visits. Information on their socio-demographic profile, ARV treatment and determinants of non-adherence to ARV treatment was obtained from those who gave consent, using pre-tested interviewer-administered questionnaires.

All patients clearly understood the need to take ARV drugs throughout their lives, and what the costs entailed. They understood the need for periodic testing, the probability that complications would develop, cost of transportation to treatment site and the daily treatment regimen. Seventy-five per cent of respondents were not adhering fully to their drug regimen; the mean number of days that respondents had been off drugs was 3.57 days the preceding month. Reasons for non-adherence included: physical discomfort (side effects); non-availability of drugs at treatment site; forgetting to carry drugs during the day; fear of social rejection; treatment being a reminder of HIV status; and selling of own drugs to those unable to enrol in the projects. Being female, under 35 years, single, and having higher educational status were significantly associated with non-adherence.

It is important that policy makers and programme managers address the factors responsible for non-adherence when scaling up subsidized ARV treatment in Nigeria and other parts of sub-Saharan Africa.

Methods Members of a random sample of 506 households in villages operating insurance schemes in rural Armenia were interviewed using a structured questionnaire. Household wealth scores based on ownership of assets were generated using principal components analysis. Logistic and Poisson regression analyses were performed to identify the determinants of health facility utilization, and equity of access across socio-economic strata.

Results The schemes have achieved a high level of equity, according to socio-economic status, age and gender. However, although levels of participation compare favourably with international experience, they remain relatively low due to a lack of affordability and a package of primary care that does not include coverage for chronic disease.

Conclusion This paper demonstrates that the distribution of benefits among members of this community-financing scheme is equitable, and that such a degree of equity in community insurance can be achieved in such settings, possibly through an emphasis on accountability and local management. Such a scheme presents a workable model for investing in primary health care in resource-poor settings.

Methods Nine main health indicators were derived from official annual reports of the Ministry of Health & Medical Education from 1993 to 2005. Having plotted their temporal variations, we modelled their patterns and predicted their values for 2006 and 2007 using linear regression and fractional polynomial regression models. In order to illustrate spatial variations, we normalized the provincial indicators and mapped their geographical variations in two time bands: 1996–2000 and 2001–05.

Results Neonatal mortality rate (NMR), infant mortality rate (IMR) and under-5 mortality rate (U5MR) had a decreasing trend between 1993 and 2005. However, the slop for NMR (β = –0.26) was much smaller than the slopes for IMR (β = –1.16) and U5MR (β = –1.60), thus the rate of decline for NMR was less. The percentage of births attended by unskilled personnel declined from 27.2 to 7.5%, and the maternal mortality rate (MMR) declined from 47 to 34 deaths per 100 000 live births. At a provincial level, the heterogeneity in some indicators decreased (e.g. unskilled attendance at birth, IMR and total fertility rate), while we found no substantial changes in others.

Conclusion Our findings indicate a remarkable improvement in most of the health indicators in rural areas. On the other hand, there is still considerable inequality among the rural population at a provincial level.

In this paper, we demonstrate that household SES classification can depend on the SES measure selected. Using data from a household survey in coastal Kenya (n = 285 rural and 467 urban households), we first classify households into SES quintiles using both expenditure and asset data. Household SES classification is found to differ when separate rural and urban asset indices, or a combined asset index, are used. We then use data on bednet ownership to compare inequalities in ownership within each setting by the SES measure selected. Results show a weak correlation between asset index and monthly expenditure in both settings: wider inequalities in bednet ownership are observed in the rural sample when expenditure is used as the SES measure [Concentration Index (CI) = 0.1024 expenditure quintiles; 0.005 asset quintiles]; the opposite is observed in the urban sample (CI = 0.0518 expenditure quintiles; 0.126 asset quintiles).

We conclude that the choice of SES measure does matter. Given the practical advantages of asset approaches, we recommend continued refinement of these approaches. In the meantime, careful selection of SES measure is required for every study, depending on the health policy issue of interest, the research context and, inevitably, pragmatic considerations.

Knowledge score improved for all health conditions, like anaemia, diarrhoea, immunization, malnutrition, malaria, meningitis and possible severe bacterial infection, and for breastfeeding in 8-day as well as in 5-day training. Average skills score for respiratory problems increased from 38 to 57 in 8-day training and from 41 to 91 in 5-day training. Corresponding increases in skill scores for diarrhoea assessment were from 28 to 67 and 48 to 75, and for breastfeeding assessment from 33 to 84 and 42 to 86 in 8-day and 5-day training, respectively. Average counselling skill score also rose from 42 to 89 in 8-day and from 37 to 70 in 5-day training. A direct cost saving of US$813 for a batch of 25 trainees and an indirect cost saving of 3 days per trainee and resource person makes the interrupted 5-day IMNCI training more cost-effective.

Methods A pre-post independent sample design was used to assess the programme's impact. The evaluation instrument collected respondent demographic characteristics and knowledge, attitudes and practices consistent with 10 health indicators typical of child survival interventions. At baseline and at follow-up, 300 mothers were interviewed using a stratified simple random sampling of households with at least one child less than age 2.

Results The assessment confirmed the population's poor health status and limited knowledge and application of recommended child care practices. The campaign reached its target: at follow-up, 67% had seen media messages within the past month, 82% had received the IMCI informational booklet, and 30% had seen other materials. Evidence of the success of the programme included the following: exclusive breastfeeding increased 31.4%, maternal knowledge of child illness signs increased 30%, knowledge of HIV increased 28.5%, and physician attended deliveries increased 15%.

Conclusions This evaluation documented the significant and substantial impact of the community IMCI programme on both knowledge and practice in rural areas of Armenia. Consideration should be given to continuing and expanding this project as a complement to health sector development activities in this region.

Based on Consumer Expenditure Survey (CES) data from the National Sample Survey (NSS), conducted in 1999–2000, the share of households’ expenditure on health services and drugs was calculated. The number of individuals below the state-specific rural and urban poverty line in 17 major states, with and without netting out OOP expenditure, was determined. This also enabled the calculation of the poverty gap or poverty deepening in each region.

Estimates show that OOP expenditure is about 5% of total household expenditure (ranging from about 2% in Assam to almost 7% in Kerala) with a higher proportion being recorded in rural areas and affluent states. Purchase of drugs constitutes 70% of the total OOP expenditure. Approximately 32.5 million persons fell below the poverty line in 1999–2000 through OOP payments, implying that the overall poverty increase after accounting for OOP expenditure is 3.2% (as against a rise of 2.2% shown in earlier literature). Also, the poverty headcount increase and poverty deepening is much higher in poorer states and rural areas compared with affluent states and urban areas, except in the case of Maharashtra. High OOP payment share in total health expenditures did not always imply a high poverty headcount; state-specific economic and social factors played a role.

The paper argues for better methods of capturing drugs expenditure in household surveys and recommends that special attention be paid to expenditures on drugs, in particular for the poor. Targeted policies in just five poor states to reduce OOP expenditure could help to prevent almost 60% of the poverty headcount increase through OOP payments.