Sengar Mili, Kunwar Rajesh, Mishra Chandra Pati
Department of Community Medicine, T S Misra Medical College, Amausi, Lucknow Uttar Pradesh, India.
Department of Community Medicine, Institute of Medical Sciences, Banaras Hindu University (B.H.U.), Varanasi, Uttar Pradesh, India.
Indian J Community Med. 2022 Oct-Dec;47(4):562-566. doi: 10.4103/ijcm.ijcm_388_22. Epub 2022 Dec 14.
The Integrated Child Development Services (ICDS) scheme was launched in 1975 for the improvement in maternal and child health and nutrition. The services under ICDS are implemented through Anganwadi centers (AWCs) and are delivered by Anganwadi workers (AWWs) at grassroots level. To evaluate the efficiency of all AWCs located in the field practice area of the medical college in North India, using data envelopment analysis (DEA) technique.
A cross-sectional study was conducted in the catchment area of rural health training center. Each of the 15 AWCs was considered a decision-making unit (DMU), and physical structure and logistics were included as input variables; and percentage of beneficiaries receiving supplementary nutrition and health checkups were included as output variables. DEA technique was used to calculate the efficiency score for each DMU with the help of DEAOS free online software.
DMU 14 was found to be most efficient (100%) and DMU second was the least efficient (45%). DMU 13 and 14 demonstrated a level of performance that is superior to all other DMUs. DMU 13 and 14 were, therefore, considered 100% efficient. DEA analysis showed that total output increases and/or input reductions were required for making the inefficient DMUs efficient.
Most of the AWCs were inefficient and an improvement in the infrastructure and logistics is likely to improve the efficiency of AWCs.
综合儿童发展服务（ICDS）计划于1975年启动，旨在改善母婴健康和营养状况。ICDS计划下的服务通过安格班迪中心（AWC）实施，并由基层的安格班迪工作人员（AWW）提供。为了使用数据包络分析（DEA）技术评估位于印度北部医学院实地实践区域内所有AWC的效率。
在农村卫生培训中心的集水区进行了一项横断面研究。将15个AWC中的每一个视为一个决策单元（DMU），并将物理结构和后勤作为输入变量；将接受补充营养和健康检查的受益人的百分比作为输出变量。借助DEAOS免费在线软件，使用DEA技术计算每个DMU的效率得分。
发现DMU 14效率最高（100%），DMU 2效率最低（45%）。DMU 13和14表现出优于所有其他DMU的绩效水平。因此，DMU 13和14被认为效率为100%。DEA分析表明，要使低效的DMU变得高效，需要增加总产出和/或减少投入。
大多数AWC效率低下，基础设施和后勤的改善可能会提高AWC的效率。
