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. 2008 Aug 6;300(5):506-7.
doi: 10.1001/jama.300.5.506.

Sampling-based approach to determining outcomes of patients lost to follow-up in antiretroviral therapy scale-up programs in Africa

Elvin H Geng, Nneka Emenyonu, Mwebesa Bosco Bwana, David V Glidden, Jeffrey N Martin

Sampling-based approach to determining outcomes of patients lost to follow-up in antiretroviral therapy scale-up programs in Africa

Elvin H Geng et al. JAMA. .
No abstract available

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Figures

Figure 1
Figure 1
Derivation of probability weights (Pw). The probability weight allows a sample of lost to follow-up patients to represent all lost patients in subsequent survival analysis. Population A represents the entire clinic population; B represents all patients lost to follow-up; C is the sample of lost patients sought for in the community; and D represents the sought after lost patients who had their vital status ascertained. Vital status outcomes among those successfully sought (Group D) are taken to represent outcomes among the remaining lost patients (Group B – Group D). Hence, the ratio of B/D is used to weight patients in Group D to allow them to represent all lost patients.
Figure 2
Figure 2
Naïve and corrected mortality estimates. The naïve estimate (dotted line) is determined using those deaths passively reported during the course of routine clinical care. The corrected estimate (solid line) uses vital status outcomes in the tracked sample of lost patients to represent vital status outcomes in all lost patients.
See this image and copyright information in PMC

References

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    1. Frangakis CE, Rubin DB. Addressing an idiosyncrasy in estimating survival curves using double sampling in the presence of self-selected right censoring. Biometrics. 2001 Jun;57(2):333–342. - PubMed

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