A study on the estimation of type I and type II error of national basic public health services supervision through random sampling / 预防医学

ABSTRACT

Objective Estimate type I and type II error probability (α,β)of sampling deduction,using sample size set in national basic public health services supervision.Methods Assuming a series of population indicator value of supervised area,αand βwas calculated based on binomial & hypergeometric distribution theory according to the sample size and indicator requirements set in supervision plan.Results When the population indicator value of supervised area was just equal to indicator requirements,probability of type I error was as follows,health record utilization rate(0.41 ),health record qualification rate(0.26),children systematic management rate(0.32),postpartum visit rate(0.32),the elderly health examination form completion rate (0.35 ),standard administration rate of patients with hypertension or diabetes (0.37),control rate of blood pressure of hypertension patients(0.34),control rate of blood glucose of diabetes patients (0.43),standard administration rate of severe mental illness patients(0.50).When the population indicator value of supervised area was 0.05 lower than indicator requirements,probability of type II error of those indicator was as follows, 0.41,0.54,0.53,0.53,0.51,0.50,0.57,0.47,0.38.Conclusion Current sample sizes of all indicators result in weak sensitivity of unqualified area detection.In order to avoid mistake,the sample size should be improved.