Row 4612

Row ID: 4612 | Dataset Entry | Axioma AXP Content Repository

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Hi all. I work as a health quality analyst at an insurer. I'm being asked to evaluate if an intervention to reach out to members by phone led to improved health quality metrics. We did not randomize the phones because without informed consent it would be unethical to provide outreach to one half and withhold from the other. This leads to the question of how to best evaluate. So far the best I've come up with is to compare members we did reach by phone to those we did not. This is not a perfect cohort design, but I'm otherwise at a loss for how to do this with academic rigor. The other issue is whether we include members we specifically had a wrong phone number for or include them with the members we could only leave a voicemail for. My colleague is of the opinion that we should not include them because we never actually had a chance to reach those members, but I simply don't understand why that population should be excluded when we are including members that we could only leave a voicemail for. If the exposure is direct interaction with the member, shouldn't we include any member that did not get direct interaction as a comparison rather than removing them from the analysis altogether? If feels arbitrary to me. Am I looking at all this completely wrong? Should I turn in my MPH as a fraud and a fool?

FieldValue
text Hi all. I work as a health quality analyst at an insurer. I'm being asked to evaluate if an intervention to reach out to members by phone led to improved health quality metrics. We did not randomize the phones because without informed consent it would be unethical to provide outreach to one half and withhold from the other. This leads to the question of how to best evaluate. So far the best I've come up with is to compare members we did reach by phone to those we did not. This is not a perfect c…
label r/epidemiology
dataType post
communityName r/epidemiology
datetime 2024-04-18
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url_encoded Z0FBQUFBQm5Lak9GWDF1VTk1TEEwV1Q0T2YxNmJwVmU3N3c5UVo5azFrNm9neVZwTmRMNEZFUzRpcThHa0tpUFhjZDFCSjhBQ1ozR3Q5TDhfOGRkZEt0X2dMSTJuOUJPbnNiSDZSTUE3c3dXNl84c3F5bHA2dkR6VWVTdHpCRHdPdWJ4cU9reVZ5Rjl3VEJMM3pHY09NR1plV2tsTG9vZ09tWTBRcEdTMUQxazRQT1gyelAtMU51S3BSaVJ1aGFYOHQ2NFRBeFBtN0x3a3BiWUFZV0c1OTVGbjZhQXZMQXhCQT09

Raw Record

{
  "text": "Hi all. I work as a health quality analyst at an insurer. I'm being asked to evaluate if an intervention to reach out to members by phone led to improved health quality metrics. We did not randomize the phones because without informed consent it would be unethical to provide outreach to one half and withhold from the other. This leads to the question of how to best evaluate. So far the best I've come up with is to compare members we did reach by phone to those we did not. This is not a perfect cohort design, but I'm otherwise at a loss for how to do this with academic rigor. The other issue is whether we include members we specifically had a wrong phone number for or include them with the members we could only leave a voicemail for. My colleague is of the opinion that we should not include them because we never actually had a chance to reach those members, but I simply don't understand why that population should be excluded when we are including members that we could only leave a voicemail for. If the exposure is direct interaction with the member, shouldn't we include any member that did not get direct interaction as a comparison rather than removing them from the analysis altogether? If feels arbitrary to me. Am I looking at all this completely wrong? Should I turn in my MPH as a fraud and a fool?",
  "label": "r/epidemiology",
  "dataType": "post",
  "communityName": "r/epidemiology",
  "datetime": "2024-04-18",
  "username_encoded": "Z0FBQUFBQm5LakwxelNsV3dDQWUtNEFYM0dJbUZabWNxZkpkMnZfTm5KMGllMTl4STVBZERJLWl4LUI5YW1BWEtMT0NSS09oaTBFNzQ2dUstZENCOTN6RmJtMTZMVi12N2c9PQ==",
  "url_encoded": "Z0FBQUFBQm5Lak9GWDF1VTk1TEEwV1Q0T2YxNmJwVmU3N3c5UVo5azFrNm9neVZwTmRMNEZFUzRpcThHa0tpUFhjZDFCSjhBQ1ozR3Q5TDhfOGRkZEt0X2dMSTJuOUJPbnNiSDZSTUE3c3dXNl84c3F5bHA2dkR6VWVTdHpCRHdPdWJ4cU9reVZ5Rjl3VEJMM3pHY09NR1plV2tsTG9vZ09tWTBRcEdTMUQxazRQT1gyelAtMU51S3BSaVJ1aGFYOHQ2NFRBeFBtN0x3a3BiWUFZV0c1OTVGbjZhQXZMQXhCQT09"
}
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