DDI-IND-MOSPI-NSSO-75Rnd-Sch25.0-July2017-June2018
Household Social Consumption: Health, NSS 75th Round Schedule-25.0 :July 2017-June 2018
| Name | Country code |
|---|---|
| India | IND |
The survey on health aims to generate basic quantitative information on the health sector. A vital component is the information relevant to the determination of the prevalence rate of morbidity among various age-sex groups in different regions of the country. Further, measurement of the extent of use of health services provided by the government is an indispensable part of the exercise. Special attention is given to hospitalisation, or medical care received as in-patient of medical institutions. The ailments for which such medical care is sought, the extent of use of government hospitals, and the expenditure incurred on treatment received from public and private sectors, are all to be investigated by the survey. Break-up of expenditure by various heads is to be estimated for expenses on medical care received both as in-patient and otherwise.
Reference period : July 2017-June 2018
Period of survey and work programme: The survey period of the round will be divided into four sub-rounds of three months' duration each as follows:
sub-round 1 : July - September 2017
sub-round 2 : October - December 2017
sub-round 3 : January - March 2018
sub-round 4 : April - June 2018
For the first time in NSS health survey, the data collected will enable assessment of population who are affected by some widespread communicable diseases. Like previous round, data will be collected on alternative schools of medicine as well, which enable to derive the role of these types of medicines inrespective of prevalence of use, cost of treatment and type of ailments covered. Besides, the survey will ascertain the extent of use of private and public hospitals for childbirth, the cost incurred, and the extent of receipt of pre-natal and post-natal care by women who undergo childbirth. Moreover, status of immunisation of children age 0-5 years will be estimated as on date of survey. Finally, information on certain aspects of the condition of the 60-plus population will be obtained which have a bearing on their state of health, economic independence, and degree of isolation. Primarily, indicators on morbidity (proportion of ailing persons during last 15 days), hospitalization rates, the utilization of both public and private health care institutions, proportion of institutional childbirth etc will be attempted to be derived from this survey data with special emphasis on ‘out of pocket expenses’ as well as on access to
government financed health insurance programmes.
Randomly selected households based on sampling procedure and members of the household.
V1.0, Reorganised anonymised data set for public distribution
| Topic | Vocabulary | URI |
|---|---|---|
| Identification of sample household | ||
| Particulars of field operations | ||
| Household characteristics | Household | |
| Demographic particulars of household members | Househols Members | |
| Particulars of former household members who died during the last 365 days | Death | |
| Particulars of medical treatment received as in-patient of a medical institution during the last 365 days | Medical Treatment | |
| Expenses incurred during the last 365 days for treatment of members as in-patient of medical institution | Expenditure on in-patient | www.mospi.gov.in |
| Particulars of spells of ailment of household members during the last 15 days (hospitalisation and nonhospitalisation cases) | Spells of ailment | |
| Expenses incurred during the last 15 days for treatment of members (not as in-patient of medical institution) | Expenditure on health not as in-patient | |
| Particulars of economic independence and state of health of persons aged 60 years and above | Old Age Health | |
| Expenditure on immunisation, if any, during the last 365 days and status of immunisation of children as on date of survey (age 0-5 years) | Expenditure on Immunization of Children | |
| Particulars of pre-natal and post-natal care for women of age 15-49 years who were pregnant during the last 365 days |
The survey cover's the whole of the Indian Union except except the villages in Andaman and Nicobar Islands which are difficult to access.
The survey used the interview method of data collection from a sample of randomly selected households and members of the household.
| Name | Affiliation |
|---|---|
| National Sample Survey Office,NSSO | Ministry of Statistics & Programme Implementation, Govenment of India |
| Name | Affiliation | Role |
|---|---|---|
| Survey Design Research Division | National Sample Survey Office | Questionaire design, sampling methodology, survey reports, questionaire design, sampling methodology, survey reports |
| Field Operation Division | National Sample Survey Office | Field Works |
| Data Processing Division | National Sample Survey Office | Data Processing |
| Data Informatics and Innovation Division/Computer Centre | Ministry of Statistics & P.I, Govt. of India | Data Processing and dissemination |
| Name | Abbreviation |
|---|---|
| Ministry of Statistics & Programme Implementation, Govenment of India | MOSPI |
Sample Design
1.1 Outline of sample design: A stratified multi-stage design has been adopted for the 75th round survey. The first stage units (FSU) are the Census villages (Panchayat wards for Kerala) in the rural sector and Urban Frame Survey (UFS) blocks in the urban sector. The ultimate stage units (USU) are households in both the sectors. In the case of large FSUs, one intermediate stage of sampling is the selection of two hamlet-groups (hgs)/ sub-blocks (sbs) from each rural/ urban FSU.
1.2 Sampling Frame for First Stage Units: For the rural sector, the list of 2011 Population Census villages constitutes the sampling frame. However, for Kerala, the latest available updated list of Panchayat wards constitutes the sampling frame. For the urban sector, the latest available list of UFS blocks has been considered as the sampling frame.
1.3 Stratification:
(a) Each district is a stratum. Within each district of a State/UT, generally speaking, two basic strata have been formed: (i) rural stratum comprising of all rural areas of the district and (ii) urban stratum comprising of all the urban areas of the district. However, within the urban areas of a district, if there are one or more towns with population one million or more as per Census 2011, each of them formed as a separate basic stratum and the remaining urban areas of the district have been considered as another basic stratum. (b) In the case of rural sectors of Nagaland another special stratum has been formed within the State consisting of all the villages which are difficult to access.
1.4 Sub-stratification:
1.4.1 Rural sector: If 'r' be the sample size allocated for a rural stratum, 'r/4' sub-strata are formed in that stratum. The villages within a stratum (district) as per frame are first arranged in ascending order of population. Then sub-strata 1 to 'r/4' have been demarcated in such a way that each substratum comprises a group of villages of the arranged frame and has more or less equal population.
1.4.2 Urban sector: Each urban stratum has been divided into two parts - 'Affluent part' consisting of UFS blocks identified as 'Affluent Area' and 'Non-Affluent part' consisting of the remaining UFS blocks within the stratum. Sample allocation of a stratum is then allocated to Affluent and Non-Affluent parts in proportion to total number of households in the UFS blocks with double weightage to Affluent part subject to a maximum of 8 FSUs in 'Affluent part' of any stratum. If 'u' be the sample size allocated for an urban stratum consisting of both affluent area UFS Blocks and non affluent area UFS Blocks. 'u/4' sub-strata are formed within each stratum. Out of these 'u/4' substrata, the first two sub-strata '01' and '02' are earmarked for those UFS blocks which are identified as 'Affluent Area' and the remaining sub-strata, '03', '04',…... and so on, are assigned to the nonaffluent
UFS blocks. If any stratum does not have any Affluent Area UFS block then also the substratum number starts from '03' for that stratum. For all strata, if u/4 >1, implying formation of 2 or more sub-strata, all the UFS blocks within the stratum are first arranged in ascending order of total number of households in the UFS Blocks as per the latest UFS phase. Then sub-strata 1 to 'u/4' are demarcated in such a way that each sub-stratum has more or less equal number of households. This
procedure has been done separately for Affluent-part and Non-Affluent part of the stratum (if two sub-strata are required to be formed in the Affluent part).
The following three cases arise while doing the sub-stratification:
i) If there is no 'Affluent Area' UFS block in the stratum, all the UFS blocks are divided into 'u/4' sub-strata and numbered as '03', '04', ….., '(u/4)+2'.
ii) If only one sub-stratum is formed with the 'Affluent Area' UFS blocks, then all the
remaining non-affluent blocks are divided into '(u-4)/4' sub-strata and numbered as
'03', '04', ….., '(u/4)+1'.
iii) If two sub-strata are formed with the 'Affluent Area' blocks, then all the remaining non-affluent UFS blocks are divided into '(u-8)/4' sub-strata and numbered as '03', '04', ….., 'u/4'.
1.5 Total sample size (FSUs): 14300 FSUs have been allocated for the central sample at all-India level. For the state sample, there are 16492 FSUs allocated for all-India.
1.6 Allocation of total sample to States and UTs: The total number of sample FSUs has been allocated to the States and UTs in proportion to population as per Census 2011 subject to a minimum sample allocation to each State/UT.
1.7 Allocation of State/ UT level sample to rural and urban sectors: State/ UT level sample size has been allocated between two sectors in proportion to population as per Census 2011 with 1.5 weightage to urban sector depending on population share. A minimum of 16 FSUs (minimum 8 each for rural and urban sector separately) have been allocated to each State/ UT.
1.8 Allocation to strata: Within each sector of a State/ UT, the respective sample size has been allocated to the different strata in proportion to the population as per Census 2011. Stratum level allocation has been adjusted to multiples of 4 with a minimum sample size of 4. For special stratum formed in rural areas of Nagaland as discussed in para 1.3 (b), 12 FSUs have been allocated.
1.9 Allocation to sub-strata: Allocation for each sub-stratum has been made as 4 in both rural and urban sectors.
1.10 Selection of FSUs:
1.10.1 For the rural sector, from each stratum/sub-stratum, required number of sample villages has been selected by Probability Proportional to Size With Replacement (PPSWR), size being the population of the village as per Census 2011.
1.10.2 For the urban sector, from each stratum/sub-stratum, FSUs have been selected by Probability Proportional to Size With Replacement (PPSWR), size being the number of households of the UFS Block. Both rural and urban samples are drawn in the form of two independent sub-samples.
1.11 Selection of hamlet-groups/ sub-blocks - important steps
1.11.1 Criterion for hamlet-group/ sub-block formation: After identification of the boundaries of the FSU, it is to be determined whether listing is to be done in the whole sample FSU or not. In case the approximate present population of the selected FSU is found to be 1200 or more, it is divided into a suitable number (say, D) of 'hamlet-groups' in the rural sector and 'sub-blocks' in the urban sector
by more or less equalising the population as stated below. approximate present population of the sample FSU no. of hgs/sbs formed less than 1200 (no hamlet-group/sub-block) 1
1200 to 1799 3
1800 to 2399 4
2400 to 2999 5
3000 to 3599 6
…...and so on -
For rural areas of Himachal Pradesh, Sikkim, Andaman & Nicobar Islands, Uttarakhand (except four districts Dehradun, Nainital, Hardwar and Udham Singh Nagar), Punch, Rajouri, Udhampur, Reasi, Doda, Kishtwar, Ramban, Ladakh region (Leh and Kargil districts) of Jammu and Kashmir and Idukki district of Kerala, the number of hamlet-groups to be formed as follows:
approximate present population of the sample village no. of hgs formed
less than 600 (no hamlet-group) 1
600 to 899 3
900 to 1199 4
1200 to 1499 5
1500 to 1799 6
.….and so on -
| Start | End |
|---|---|
| 2017-07-01 | 2018-06-30 |
July 2017 to June 2018
| Organization name | Abbreviation | Affiliation | URL |
|---|---|---|---|
| National Sample Survey Organization | NSSO | Ministry of Statistics & P.I , Government of India | www.mospi.gov.in |
DDI-IND-MOSPI-NSSO-75Rnd-Sch25.0-July2017-June2018
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| DIID Computer Centre | DIID MOSPI | Ministry if Statistics & P.I | Documentation of Study |
