Incorporating Statistical Process Control and Statistical Quality Control Techniques into a Quality Assurance Program



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Transcription:

Incooating Statistical Pocss Contol and Statistical Quality Contol Tchniqus into a Quality Assuanc Pogam Robyn Sikis U.S. Cnsus Buau

Puos Incooat SPC and SQC mthods into quality assuanc ogam Monito and imov intviw fomanc to nsu th collction of high quality data in al tim Examin diffnt tys of quality indicatos

Outlin Backgound Clust Analysis Statistical Pocss Contol (SPC) and Statistical Quality Contol (SQC) Mthodology SPC and SQC Examls Nxt Sts Conclusion 3

Data fo Analysis National Halth Intviw Suvy to data Quality indicatos: includ itm don t know and fusals sonss - Itm nonsons ats fo th cunt asthma stimat, family incom qustion, and numonia shot qustion Quality indicatos: xclud don t know, fusals and missing sonss - Cunt asthma stimat: ootion of no sonss - Family incom qustion: avag and standad dviation - Pnumonia shot qustion: ootion of ys sonss 4

Clust Analysis Coma intviws woking in simila cnsus tacts with simila wokloads Choos clusting vaiabls (vaiabl duction) Cnsus Planning Databas Nin vaiabls chosn Cat clusts within Rgional Offic (RO) Gou cnsus tacts into clusts 4 to clusts within ach RO 5

SPC and SQC Tminology Statistical Pocss Contol (SPC) Gahical tool to masu and analyz vaiation in a ocss ov tim Contol chats: us contol limits and tim comonnt Multivaiat chats: ducs amount of chats fo colatd masus Statistical Quality Contol (SQC) Boad aay of statistical tools to masu and imov oational ocdus Analysis of Mans (ANOM) chats: us dcision limits ANOM chats: intviw is an xaml of a ational subgou 6

SPC and SQC Mthodology Constuct clust-lvl contol chat including histoical months data Histoical months: Januay to Novmb Constuct th tial contol limits by moving obsvations outsid th limits Constuct final clust-lvl contol chat including histoical and cunt months data Cunt month: Dcmb 7

SPC and SQC Mthodology Continud Constuct Analysis of Mans (ANOM) chats fo th cunt month (Dcmb ) Constuct intviw-lvl contol chats if ovall avag o ootion outsid dcision limits in ANOM chat

Family Incom Examl Avag and standad dviation of family incom Family incom itm nonsons at SPC and SQC tchniqus usd to imov intviw fomanc in al tim Cunt month: Dcmb

Analysis of Mans Chat Dcmb (RO =, Clust = 4) α =. Limits: UDL Man X LDL 3 4 5 6 7 Gou Sizs: Min n = Max n = Intviw

Pocss Not in Contol (RO =, Clust = 4, Intviw = 3) UCL LCL S UCL LCL M a A S D c M a A S D c M a A J u n S D c Avag Standad Dviation Month 3 Limits: Subgou Sizs: Min n = Max n = X σ

Cunt Asthma Estimat Examl Cunt asthma stimat uss sonss fom th qustions Pootion of no sonss fo cunt asthma stimat Cunt asthma stimat itm nonsons at

Analysis of Mans Chat Dcmb (RO =, Clust = 3) Rat...6 α =. Limits: UDL P =. LDL.4. 3 4 5 6 7 3 4 Gou Sizs: Min n = Max n = 3 Intviw 3

Pocss Not in Contol (RO =, Clust = 3, Intviw = 3) 4 =. UCL LCL F b M a A M a y J u n J u l A u g S N o v D c M a A M a y J u n J u l A u g S O c t D c M a A M a y J u n J u l A u g S O c t N o v D c..4.6.. Rat Month 3 Limits: Subgou Sizs: Min n = Max n = 4 P σ

Summay of Chats Cunt Asthma Estimat - Pocss not in contol in intviw-lvl contol chat Family Incom - Avag and standad dviation xcd th contol limits in intviw-lvl contol chat Intviws did not hav itm nonsons ats significantly diffnt fom RO and clust fo Dcmb 5

Imlmntation of SPC and SQC Tchniqus Choos quality indicatos Multivaiat chats minimiz th numb of chats to monito by combining colatd masus Slct intviws to follow-u Most quality indicatos wh ocss is not in contol Highst diffnc btwn contol limits and quality indicato fo cunt month 6

Nxt Sts Incooat SPC and SQC tchniqus into cunt quality assuanc ogam Cunt quality assuanc ogam: conduct scond intviw to dtmin if intviws conducting intviw in accodanc with stablishd ocdus Cunt samling mthod: andom and sulmntal Statifid andom samling Sulmntal samling: additional cass and intviws idntifid by Hadquats and th Rgional Offic 7

Nxt Sts Continud Add tagtd samling mthod Tagt intviw cass which ba hallmaks of susctd falsification Choos quality indicatos to slct cass fo tagtd samling mthod Us statistical modls to choos indicatos which dict otntial data quality issus Includs using digit fquncy and lngth of fild tchniqus Includs indicatos fom PANDA systm such as intviw tims and contact attmts

Nxt Sts Continud Choos mthods fo tagtd samling mthod SPC and SQC tchniqus Statistical tsts such as chi-squa tst to coma distibutions Unlikly sons attn analysis Us wighting quations to lvag bst availabl mthods and masus to otimiz dtction of otntial data quality issus Slct additional intviws just using SPC and SQC tchniqus and thn oth intviws using diffnt mthods

Conclusion Cucial to monito both itm nonsons ats and oth quality indicatos Dvlo mthod to idntify intviws whos wok should b invstigatd givn th availabl amount of soucs fo follow-u uoss

Contact Infomation obyn.b.sikis@cnsus.gov