‘Dia D’Elas’ realiza mais de 1,6 mil exames citopatológicos em mulheres na Capital

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Saúde feminina

‘Dia D’Elas’ realiza mais de 1,6 mil exames citopatológicos em mulheres na Capital

21/01/2023 | 17:30 | 51

A Prefeitura de João Pessoa, através da Secretaria Municipal de Saúde (SMS) realizou, neste sábado (21), o Dia D’Elas, dedicado à oferta de exames citopatológicos para mulheres entre 25 a 64 anos. Os atendimentos foram feitos em várias Unidades de Saúde da Família (USF), cobrindo toda a Capital paraibana. A ação resultou em 1.654 exames.

“Estávamos com uma boa expectativa com relação à ação. Mas nos surpreendemos com a adesão tão positiva das mulheres. O Dia D’Elas foi pensado exclusivamente nelas, e na saúde de cada uma porque estamos proporcionando, enquanto Secretaria de Saúde, um exame importante e fundamental para precocemente identificar alguma doença, principalmente, do colo do útero”, afirmou Alline Grisi, diretora de Atenção em Saúde da SMS.

Segundo o levantamento da Secretaria Municipal de Saúde, no Distrito Sanitário I foram realizados 381 exames; no Distrito Sanitário II, 369; no Distrito Sanitário III, 300; no Distrito Sanitário IV, 404; e no Distrito Sanitário V, foram feitos 200 exames.

Na USF Integrada Saúde e Vida, situada no bairro Ernani Sátiro, a gerente Isis Roque Costa informou que o movimento começou lento mas que, aos poucos, as mulheres foram chegando. “Os atendimentos tiveram início às 8h. Já são 9h30 e já atendemos 25 mulheres. Para hoje disponibilizamos duas profissionais para realizarem os exames que fazem parte da rotina de prevenção das mulheres”, disse.

Jaciana Serrão, moradora do bairro João Paulo II, aproveitou a oportunidade para realizar o exame. “Quando soube que o posto estaria aberto no sábado, já separei os documentos e vim direto para fazer o exame. É um procedimento que sempre faço. Achei ótima a iniciativa”, afirmou a moradora.

Já Maria do Socorro Morais, também moradora do João Paulo II, disse que a ação ter sido realizada num dia de sábado deu mais possibilidade para que mulheres que trabalham façam o exame sem ter o expediente prejudicado. “Eu trabalho todos os dias da semana. Então fica muito complicado para ir a um médico. Achei que a Prefeitura foi muito feliz em realizar os exames no sábado, pois muitas mulheres que estão na minha situação poderão fazer”, falou.

Na USF Integrada José Américo, a procura pelo serviço começou cedo. A moradora do bairro Maria Andélia Rêgo disse que as mulheres não poderiam perder essa oportunidade e alertou as amigas para o Dia D’Elas. “Avisei a todas as minhas amigas e informei em grupos de aplicativo. É um exame importante para todas nós. Temos que nos cuidar sempre. Se a Prefeitura faz a parte dela, nós temos que fazer a nossa”, disse.

Exame citopatológico – É o método de rastreamento do câncer do colo do útero no Brasil, indicado para a população feminina com idade entre 25 e 64 anos, a cada três anos, após dois exames anuais consecutivos normais. Essas recomendações visam garantir o balanço favorável entre riscos e benefícios do rastreamento. Para que este rastreamento seja efetivo, é necessário que o exame seja realizado com qualidade.

  • Texto: Rogéria Araújo Edição: Andrea Alves Fotografia: Rogéria Araújo

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    ação atenção em saúde Dia D’Elas distritos sanitários exames citopatológicos mulheres prevenção saúde SMS unidades de saúde da família USFs

68 pensou em “‘Dia D’Elas’ realiza mais de 1,6 mil exames citopatológicos em mulheres na Capital”

  9. This aligns with the “Signal Noise” theory we’ve been developing. You need enough noise to mask the signal, but not so much that you lose authority. delicate balance.

  11. Actually, I have to disagree slightly with the second point. In our testing, we found that over-optimization was less of a factor than pure engagement metrics. It’s interesting to see how different niches react differently.

  12. Just wanted to say thanks for the detailed case study. It’s rare to see actual data backing up these claims. We’ll be adjusting our Q4 roadmap based on some of these insights.

  13. I bookmarked this for my team. The section on avoiding footprints is crucial. We recently audited a site that got hit exactly because they ignored that principle. Good catch.

  15. I’d love to see a follow-up post on how this integrates with social signals. We feel there’s a multiplier effect there that isn’t being fully utilized.

  16. This is a solid breakdown. One thing I’d add is that the impact of these updates often lags by 2-3 weeks. We tracked this across multiple projects and found the recovery phase is where most people give up too early.

  17. I’m sharing this with our content team. We’ve been struggling to explain why “quality over quantity” isn’t just a cliché, and this illustrates it perfectly.

  18. I’ve been following this topic for a while, and your analysis on the structural shifts really adds a new perspective. We’ve noticed similar patterns in our internal data at SignalLayer, specifically regarding the volatility timeline.

  19. Does this apply to non-English markets as well? We’re seeing conflicting signals in our EU campaigns compared to what you’ve described here. Would love to hear your thoughts on regional variance.

  20. This complements the “Entropy” theory perfectly. If you don’t introduce randomness, you’re just painting a target on your back. Glad to see others advocating for smarter engineering.

  21. Spot on about the indexing delays. It’s not just about building the link anymore; it’s about the “stickiness” of the placement. We’ve been focusing heavily on that metric lately.

  22. This is a solid breakdown. One thing I’d add is that the impact of these updates often lags by 2-3 weeks. We tracked this across multiple projects and found the recovery phase is where most people give up too early.

  23. This aligns with the “Signal Noise” theory we’ve been developing. You need enough noise to mask the signal, but not so much that you lose authority. delicate balance.

  25. Does this apply to non-English markets as well? We’re seeing conflicting signals in our EU campaigns compared to what you’ve described here. Would love to hear your thoughts on regional variance.

  26. Actually, I have to disagree slightly with the second point. In our testing, we found that over-optimization was less of a factor than pure engagement metrics. It’s interesting to see how different niches react differently.

  29. Does this apply to non-English markets as well? We’re seeing conflicting signals in our EU campaigns compared to what you’ve described here. Would love to hear your thoughts on regional variance.

  33. For anyone reading this, pay attention to paragraph 4. That subtle distinction between “diversity” and “randomness” is what saves you during a Core Update.

  34. We’ve been A/B testing this exact hypothesis. Group A (your method) is outperforming Group B by 40% in terms of ranking stability. The data speaks for itself.

  35. The shift towards “entity-based” indexing is real. Your strategy seems to leverage that by building entity associations rather than just keyword matches. Smart.

  36. Spot on about the indexing delays. It’s not just about building the link anymore; it’s about the “stickiness” of the placement. We’ve been focusing heavily on that metric lately.

  38. I bookmarked this for my team. The section on avoiding footprints is crucial. We recently audited a site that got hit exactly because they ignored that principle. Good catch.

  41. This complements the “Entropy” theory perfectly. If you don’t introduce randomness, you’re just painting a target on your back. Glad to see others advocating for smarter engineering.

  42. The depth here is impressive. Most guides just skim the surface of link velocity, but your point about “natural variance” hits the nail on the head. It’s exactly what we preach to our clients.

  43. Great read. It reminds me of the strategy we deployed last quarter. The focus on foundational stability really pays off when the algorithm shifts. Thanks for compiling this.

  46. One minor correction: the update rollout was actually 14 days, not 10. But that doesn’t change your main point—the volatility window is getting wider.

  48. I’ve been following this topic for a while, and your analysis on the structural shifts really adds a new perspective. We’ve noticed similar patterns in our internal data at SignalLayer, specifically regarding the volatility timeline.

  51. Question: Have you tested this approach with expired domains? We’re running some experiments now and the results are… mixed. Your methodology seems safer.

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