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Home » DHS-8 Questionnaire Review » Other Topics » DHS-8-PGSSC-Men_and_Women-Template (Men and Women questions)
Re: DHS-8-PGSSC-Men_and_Women-Template [message #17379 is a reply to message #17374] Fri, 15 March 2019 21:19 Go to previous messageGo to next message
Robert Riviello is currently offline  Robert Riviello
Messages: 7
Registered: March 2019
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Until we act as a global community to address holistic health needs of populations, we will not reach SDGs. An essential and long understudied (and likely underestimated) is the provision of surgical care. But we can't improve what we havent' measured. I support this addition to the DHS.
Re: DHS-8-PGSSC-Men_and_Women-Template [message #17390 is a reply to message #16789] Fri, 15 March 2019 21:46 Go to previous messageGo to next message
Jacob.Lepard is currently offline  Jacob.Lepard
Messages: 5
Registered: March 2019
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The indicators proposed in this module have huge implications for categorizing the global burden of surgical disease that is unmet. I strongly support their inclusion.
Re: DHS-8-PGSSC-Men_and_Women-Template [message #17401 is a reply to message #17390] Fri, 15 March 2019 22:27 Go to previous messageGo to next message
IsaacWasserman is currently offline  IsaacWasserman
Messages: 8
Registered: March 2019
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As powerful as modeling studies are, the only way to progress past the realm of the theoretical, and anchor ourselves in the realm of the real is to collect robust data. When surgery playing a role in nearly 1/3rd of all human disease, I can think of no better area to invest in better data collection. This will help evaluate ongoing projects, as well as steer new ones. Thank you for expanding into this important sphere.
Re: DHS-8-PGSSC-Men_and_Women-Template [message #17409 is a reply to message #16789] Fri, 15 March 2019 23:12 Go to previous message
Emily Smith is currently offline  Emily Smith
Messages: 3
Registered: March 2019
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The unmet surgical need is an integral metric needed to design targeted and strategic interventions in LMICs. Without measuring the burden quantitatively, rather than through modeling, the underlying epidemiological burden cannot be accurately assessed.
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