Geographically linking population and facility surveys: methodological considerations

Abstract Background The relationship between health services and population outcomes is an important area of public health research that requires bringing together data on outcomes and the relevant service environment. Linking independent, existing datasets geographically is potentially an efficient approach; however, it raises a number of methodological issues which have not been extensively explored. This sensitivity analysis explores the potential misclassification error introduced when a sample rather than a census of health facilities is used and when household survey clusters are geographically displaced for confidentiality. Methods Using the 2007 Rwanda Service Provision Assessment (RSPA) of all public health facilities and the 2007–2008 Rwanda Interim Demographic and Health Survey (RIDHS), five health facility samples and five household cluster displacements were created to simulate typical SPA samples and household cluster datasets. Facility datasets were matched with cluster datasets to create 36 paired datasets. Four geographic techniques were employed to link clusters with facilities in each paired dataset. The links between clusters and facilities were operationalized by creating health service variables from the RSPA and attaching them to linked RIDHS clusters. Comparisons between the original facility census and undisplaced clusters dataset with the multiple samples and displaced clusters datasets enabled measurement of error due to sampling and displacement. Results Facility sampling produced larger misclassification errors than cluster displacement, underestimating access to services. Distance to the nearest facility was misclassified for over 50% of the clusters when directly linked, while linking to all facilities within an administrative boundary produced the lowest misclassification error. Measuring relative service environment produced equally poor results with over half of the clusters assigned to the incorrect quintile when linked with a sample of facilities and more than one-third misclassified due to displacement. Conclusions At low levels of geographic disaggregation, linking independent facility samples and household clusters is not recommended. Linking facility census data with population data at the cluster level is possible, but misclassification errors associated with geographic displacement of clusters will bias estimates of relationships between service environment and health outcomes. The potential need to link facility and population-based data requires consideration when designing a facility survey

The effect of performance-based financing on illness, care-seeking and treatment among children: an impact evaluation in Rwanda

Background Performance-based financing (PBF) strategies are promoted as a supply-side, results-based financing mechanism to improve primary health care. This study estimated the effects of Rwanda’s PBF program on less-incentivized child health services and examined the differential program impact by household poverty. Methods Districts were allocated to intervention and comparison for PBF implementation in Rwanda. Using Demographic Health Survey data from 2005 to 2007–08, a community-level panel dataset of 5781 children less than 5 years of age from intervention and comparison districts was created. The impacts of PBF on reported childhood illness, facility care-seeking, and treatment received were estimated using a difference-in-differences model with community fixed effects. An interaction term between poverty and the program was estimated to identify the differential effect of PBF among children from poorer families. Results There was no measurable difference in estimated probability of reporting illness with diarrhea, fever or acute respiratory infections between the intervention and comparison groups. Seeking care at a facility for these illnesses increased over time, however no differential effect by PBF was seen. The estimated effect of PBF on receipt of treatment for poor children is 45 percentage points higher (p = 0.047) compared to the non-poor children seeking care for diarrhea or fever. Conclusions PBF, a supply-side incentive program, improved the quality of treatment received by poor children conditional on patients seeking care, but it did not impact the propensity to seek care. These findings provide additional evidence that PBF incentivizes the critical role staff play in assuring quality services, but does little to influence consumer demand for these services. Efforts to improve child health need to address both supply and demand, with additional attention to barriers due to poverty if equity in service use is a concern

Minor Consent and Delivery of Adolescent Vaccines

To explore whether, and to what extent, minor consent influences adolescent vaccine delivery in the United States

Minor Consent and Delivery of Adolescent Vaccines

PURPOSE: To explore whether, and to what extent, minor consent influences adolescent vaccine delivery in the United States. METHODS: A telephone survey was completed by 263 professionals with responsibilities for adolescent health care and/or vaccination in 43 states. Measures included perceived frequency of unaccompanied minor visits and perceived likelihood of vaccine delivery to unaccompanied minors in hypothetical scenarios that varied by adolescent age, vaccine type, visit type, and clinical setting. RESULTS: Among the 76 respondents most familiar with private primary care clinics, 47.1% reported perceptions that 17-year-old patients often present without a parent/legal guardian. Among the 104 respondents most familiar with public primary care clinics, 56.7% reported that 17-year-old patients often present alone. In response to hypothetical scenarios, approximately 30% of respondents familiar with private clinics and 50% of respondents familiar with public clinics reported perceptions that unaccompanied 17-year-old adolescents would not receive influenza, Tdap, or human papillomavirus vaccines during routine check-ups because they could not provide consent. Perceived likelihood of unaccompanied minors receiving vaccines when seen for confidential services in primary care, sexually transmitted disease, and Title X/family planning clinics varied significantly by vaccine type and clinical setting. On average, respondents reported that they would support minors having the ability to self-consent for vaccines at age 14. CONCLUSIONS: The inability of minors to consent for vaccines is likely one barrier to vaccination. Interventions to increase adolescent vaccination should consider strategies that increase the ability of unaccompanied minors, particularly older minors, to receive vaccines within the context of legal, ethical, and professional guidelines