RESUMO
OBJECTIVES: To describe unmet desire for long-acting reversible contraception (LARC) after the Zika Contraception Access Network (Z-CAN) in Puerto Rico during the 2016-2017 Zika outbreak. STUDY DESIGN: Z-CAN patients completed surveys about contraception experiences over a 3-year period. RESULTS: Of 1809 respondents, 3% never used LARC but reported wanting it since their initial visit. As reasons for not getting LARC, nearly 50% indicated a provider-related reason and 25% reported cost. CONCLUSIONS: Few Z-CAN patients who never used LARC had unmet desire. Provider training in contraception guidelines and strategies to address costs can expand access to the full range of reversible contraception. IMPLICATIONS: Three years after a short-term program provided reversible contraception in Puerto Rico, few respondents had never used but wanted a long-acting reversible contraception method. Nearly half reported provider-related reasons for not receiving long-acting reversible contraception, and 25% reported cost. Provider awareness of contraceptive guidance and method availability can support client-centered care.
Assuntos
Acessibilidade aos Serviços de Saúde , Contracepção Reversível de Longo Prazo , Infecção por Zika virus , Humanos , Porto Rico , Feminino , Infecção por Zika virus/prevenção & controle , Adulto , Adulto Jovem , Adolescente , Inquéritos e Questionários , Comportamento Contraceptivo/estatística & dados numéricos , Serviços de Planejamento FamiliarRESUMO
INTRODUCTION: Verbal autopsy (VA) is a useful tool for evaluating causes of death, especially in places with limited or no vital registration systems. The Population Health Metrics Research Consortium (PHMRC) developed a validated questionnaire and a set of automated methods to determine the cause of death from a VA. However, the application of these methods needs to be tested in a community environment. OBJECTIVE: To estimate cause-specific mortality fractions (CSMFs) using VAs and compare them against those obtained in the vital statistics of the state of Hidalgo, Mexico. METHODS: A random sample of deaths occurred in 2009 was selected from vital statistics in the state of Hidalgo. The full PHMRC validated VA instrument was applied to the relatives of the deceased, and the cause of death was determined using Tariff's automated method. The causes of death were grouped into 34 causes for adults, 21 for children and 6 for newborns. Results were compared with cause of death on death certificates for all deaths. RESULTS: A total of 1,198 VAs were analyzed. The Tariff method was not able to assign a cause of death in only 9% of adults, 2% of children and 7% of neonatal deaths. The CSMFs obtained from the Tariff method were similar in some cases to those of vital statistics (e.g. cirrhosis), but different in others (e.g. sepsis). CONCLUSION: The application of VAs in a community sample, analyzed with the Tariff method, allowed assigning a cause of death to most of the cases, with results similar to those of vital statistics for most conditions. This tool can be useful to strengthen the quality of vital statistics.
Assuntos
Causas de Morte , Atestado de Óbito , Inquéritos e Questionários , Estatísticas Vitais , Adolescente , Adulto , Idoso , Autopsia , Criança , Pré-Escolar , Feminino , Humanos , Lactente , Recém-Nascido , Masculino , México , Pessoa de Meia-IdadeRESUMO
BACKGROUND: Easy-to-collect epidemiological information is critical for the more accurate estimation of the prevalence and burden of different non-communicable diseases around the world. Current measurement is restricted by limitations in existing measurement systems in the developing world and the lack of biometry tests for non-communicable diseases. Diagnosis based on self-reported signs and symptoms ("Symptomatic Diagnosis," or SD) analyzed with computer-based algorithms may be a promising method for collecting timely and reliable information on non-communicable disease prevalence. The objective of this study was to develop and assess the performance of a symptom-based questionnaire to estimate prevalence of non-communicable diseases in low-resource areas. METHODS: As part of the Population Health Metrics Research Consortium study, we collected 1,379 questionnaires in Mexico from individuals who suffered from a non-communicable disease that had been diagnosed with gold standard diagnostic criteria or individuals who did not suffer from any of the 10 target conditions. To make the diagnosis of non-communicable diseases, we selected the Tariff method, a technique developed for verbal autopsy cause of death calculation. We assessed the performance of this instrument and analytical techniques at the individual and population levels. RESULTS: The questionnaire revealed that the information on health care experience retrieved achieved 66.1% (95% uncertainty interval [UI], 65.6-66.5%) chance corrected concordance with true diagnosis of non-communicable diseases using health care experience and 0.826 (95% UI, 0.818-0.834) accuracy in its ability to calculate fractions of different causes. SD is also capable of outperforming the current estimation techniques for conditions estimated by questionnaire-based methods. CONCLUSIONS: SD is a viable method for producing estimates of the prevalence of non-communicable diseases in areas with low health information infrastructure. This technology can provide higher-resolution prevalence data, more flexible data collection, and potentially individual diagnoses for certain conditions.