1. DIABETES MELLITUS WITH COMPLICATIONS: Applied Research in
Healthcare Administration
DIABETES MELLITUS WITH COMPLICATIONS: Applied Research in Healthcare
Administration ON DIABETES MELLITUS WITH COMPLICATIONS: Applied Research in
Healthcare AdministrationApplied Research in Healthcare AdministrationFor this
Assignment, you will utilize the knowledge you’ve gathered throughout this course and
apply it to the utilization of secondary data as it would relate to your role if you were a
hospital administrator.You will use the EXCELL SHEETS provided with Texas information.
Review the data related to hospitalizations for Texas.Then, select a Principal Diagnosis
Category that you would like to examine for this Assignment.. IS DIABETES MELLITUS
WITH COMPLICATIONSAs a healthcare administrator, it is important to know what the top
10 principal diagnoses are within your healthcare facility, system, locale, and state.Now that
you have chosen DIABETES MELLITUS WITH COMPLICATIONS from the top 10 principal
diagnoses that you are going to research. Review the data to determine a research question
that you can answer based on the data you have gathered. HCUPnet – Hospital Inpatient
State Statistics. Diagnoses–Clinical Classification Software (CCS), Principal Diagnosis: #50
Diabetes mellitus with complications DIABETES MELLITUS WITH COMPLICATIONS:
Applied Research in Healthcare AdministrationThe Assignment (7–10 pages): For this
Assignment, you will submit a 7- to 10-page paper that addresses the following:The
background of DIABETES MELLITUS WITH COMPLICATIONSbased on the literature that s
the research question that you have developedThe research question you have developed
based on the data you gathered from HCUPThe data that answers the research
questionAdditional literature that answers the research questionImplications of the data
and literature for you as a healthcare administrator: What additional information would
you want to know? What other questions should you be asking that would assist you in your
role as a healthcare administrator?ConclusionLearning ResourcesCreswell, J.
(2009). Research design: Qualitative, quantitative, and mixed methods approaches (4th
ed.).Thousand Oaks, CA: Sage Publications.Kiecolt, K. J., & Nathan, L. E. (1985). Secondary
analysis of survey data. Beverly Hills, CA: Sage Publications.Note: You will access this eBook
from the Walden Library databases.Centers for Disease Control and Prevention.
(2016). National Center for Health Statistics. Retrieved from
http://www.cdc.gov/nchs/ahcd/ahcd_questionnaires.htmhttps://hcupnet.ahrq.gov/#setu
ptexas2014statisticsdiabetesinpatient.xlsxtexas2009to2014databasediabetes.xlsxtexas201
2. 4top10mortalitUnformatted Attachment PreviewHCUPnet – Hospital Inpatient State
Statistics Analysis Type: Descriptive Statistics | Setting of Care: Hospital Inpatient |
Geographic Settings: State | Years: 2014 2014 Texas Diagnoses–Clinical Classification
Software (CCS), Principal Diagnosis: #50 Diabetes mellitus with complications Number
Total number Percent of discharges: of discharges N All discharges 48356 100 Payer
Medicare 18710 38.6922 Medicaid 5961 12.32732 Private insurance 12575 26.00505
Uninsured 9924 20.52279 Other 1106 2.287203 Missing 80 0.16544 Race/ethnicity White
20056 41.47572 Black 9974 20.62619 Hispanic 15534 32.12425 Asian/Pacific Islander 486
1.005046 Native American 62 0.128216 Other 2240 4.63231 Missing * * State statistics
from HCUP State Inpatient Databases 2014, Agency for Healthcare Research and Quality
(AHRQ), ba See the ICD codes that comprise CCS categories Citation: HCUPnet, Healthcare
Cost and Utilization Project. Agency for Healthcare Research and Quality, Rockville, M ngs:
State | Years: 2014 | Categorization Type: Diagnoses–Clinical Classification Software (CCS) |
Diagnoses–Clinical Classifica h and Quality (AHRQ), based on data collected by the Texas
Health Care Information Council and provided to AHRQ. Values ba h and Quality, Rockville,
MD. https://hcupnet.ahrq.gov/. For more information about HCUP data see
http://www.hcup-us.ahrq noses–Clinical Classification Software (CCS): Diabetes mellitus
with complications | Principal or All-Listed: DIABETES MELLITUS WITH COMPLICATIONS:
Applied Research in Healthcare AdministrationPrincipal | Outcome ded to AHRQ. Values
based on 10 or fewer discharges or fewer than 2 hospitals in the State statistics (SID) are
suppressed to p ted: Principal | Outcome and Measures: Number | Patient Characteristics:
Race/ethnicity, Payer | State: Texas HCUPnet – Hospital Inpatient State Statistics Analysis
Type: Descriptive Statistics | Setting of Care: Hospital Inpatient | Geographic Settings: State |
Years: 2014, 2014 Texas Diagnoses–Clinical Classification Software (CCS), Principal
Diagnosis: #50 Diabetes mellitus with complications Number Total number Percent of
discharges: of discharges N All discharges 48356 100 Payer Medicare 18710 38,6922
Medicaid 5961 12,32732 Private insurance 12575 26,00505 Uninsured 9924 20,52279
Other 1106 2,287203 Missing 80 0,16544 Race/ethnicity White 20056 41,47572 Black
9974 20,62619 Hispanic 15534 32,12425 Asian/Pacific Islander 486 1,005046 Native
American 62 0,128216 Other 2240 4,63231 Missing * * State statistics from HCUP State
Inpatient Databases 2014, Agency for Healthcare Research and Quality (AHRQ), ba See the
ICD codes that comprise CCS categories Citation: HCUPnet, Healthcare Cost and Utilization
Project. Agency for Healthcare Research and Quality, Rockville, M 2013 Texas Diagnoses–
Clinical Classification Software (CCS), Principal Diagnosis: #50 Diabetes mellitus with
complications Number Total number Percent of discharges: of discharges N All discharges
46918 100 Payer Medicare 18969 40,43011 Medicaid 5471 11,66077 Private insurance
11065 23,5837 Uninsured 10015 21,34575 Other 1306 2,78358 Missing 92 0,196087
Race/ethnicity White 19374 41,29332 Black 9487 20,22038 Hispanic 15250 32,50352
Asian/Pacific Islander 465 0,991091 Native American 109 0,23232 Other 2100 4,475894
Missing 133 0,283473 State statistics from HCUP State Inpatient Databases 2013, Agency
for Healthcare Research and Quality (AHRQ), ba See the ICD codes that comprise CCS
categories Citation: HCUPnet, Healthcare Cost and Utilization Project. Agency for Healthcare
Research and Quality, Rockville, M 2012 Texas Diagnoses– DIABETES MELLITUS WITH
3. COMPLICATIONS: Applied Research in Healthcare AdministrationClinical Classification
Software (CCS), Principal Diagnosis: #50 Diabetes mellitus with complications Number
Total number Percent of discharges: of discharges N All discharges 45937 100 Payer
Medicare 18371 39,99173 Medicaid 5693 12,39306 Private insurance 10651 23,1861
Uninsured 9475 20,62607 Other 1630 3,548338 Missing 117 0,254697 Race/ethnicity
White 17755 38,65076 Black 8685 18,90633 Hispanic 14789 32,19409 Asian/Pacific
Islander 402 0,875112 Native American 233 0,507216 Other 3968 8,637917 Missing 105
0,228574 State statistics from HCUP State Inpatient Databases 2012, Agency for Healthcare
Research and Quality (AHRQ), ba See the ICD codes that comprise CCS categories Citation:
HCUPnet, Healthcare Cost and Utilization Project. Agency for Healthcare Research and
Quality, Rockville, M 2011 Texas Diagnoses–Clinical Classification Software (CCS), Principal
Diagnosis: #50 Diabetes mellitus with complications Number Total number Percent of
discharges: of discharges N All discharges 45575 100 Payer Medicare 16121 35,37246
Medicaid 5905 12,95666 Private insurance 12810 28,10752 Uninsured 9046 19,8486 Other
1606 Missing 87 Race/ethnicity White 18055 Black 9747 Hispanic 14910 Asian/Pacific
Islander 322 Native American 264 Other 2155 Missing 122 3,523862 0,190894 39,61602
21,38673 32,7153 0,706528 0,579265 4,72847 0,267691 State statistics from HCUP State
Inpatient Databases 2011, Agency for Healthcare Research and Quality (AHRQ), ba See the
ICD codes that comprise CCS categories Citation: HCUPnet, Healthcare Cost and Utilization
Project. Agency for Healthcare Research and Quality, Rockville, M 2010 Texas Diagnoses–
Clinical Classification Software (CCS), Principal Diagnosis: #50 Diabetes mellitus with
complications Number Total number Percent of discharges: of discharges N All discharges
42975 100 Payer Medicare 15554 36,19314 Medicaid 5853 13,61955 Private insurance
11725 27,2833 Uninsured 8173 19,01803 Other 1629 3,790576 Missing 41 0,095404
Race/ethnicity White 16663 38,77371 Black 9302 21,64514 Hispanic 14881 34,62711
Asian/Pacific Islander 265 0,616638 Native American 309 0,719023 Other 1483 3,450844
Missing 72 0,167539 State statistics from HCUP State Inpatient Databases 2010, Agency for
Healthcare Research and Quality (AHRQ), ba See the ICD codes that comprise CCS categories
Citation: DIABETES MELLITUS WITH COMPLICATIONS: Applied Research in Healthcare
AdministrationHCUPnet, Healthcare Cost and Utilization Project. Agency for Healthcare
Research and Quality, Rockville, M 2009 Texas Diagnoses–Clinical Classification Software
(CCS), Principal Diagnosis: #50 Diabetes mellitus with complications Number Total number
Percent of discharges: of discharges N All discharges 40831 Payer Medicare 14489
Medicaid 5477 Private insurance 11851 Uninsured 7516 Other 1469 Missing 29
Race/ethnicity White 16564 Black 9033 Hispanic 12857 Asian/Pacific Islander 286 Native
American 247 Other 1738 Missing 106 100 35,48529 13,41383 29,02452 18,40758
3,597757 0,071024 40,56722 22,1229 31,48833 0,700448 0,604933 4,25657 0,259607
State statistics from HCUP State Inpatient Databases 2009, Agency for Healthcare Research
and Quality (AHRQ), ba See the ICD codes that comprise CCS categories Citation: HCUPnet,
Healthcare Cost and Utilization Project. Agency for Healthcare Research and Quality,
Rockville, M ngs: State | Years: 2014, 2013, 2012, 2011, 2010, 2009 | Categorization Type:
Diagnoses–Clinical Classification Software (CCS) h and Quality (AHRQ), based on data
collected by the Texas Health Care Information Council and provided to AHRQ. Values ba h
4. and Quality, Rockville, MD. https://hcupnet.ahrq.gov/. For more information about HCUP
data see http://www.hcup-us.ahrq h and Quality (AHRQ), based on data collected by the
Texas Health Care Information Council and provided to AHRQ. Values ba h and Quality,
Rockville, MD. https://hcupnet.ahrq.gov/. For more information about HCUP data see
http://www.hcup-us.ahrq h and Quality (AHRQ), based on data collected by the Texas
Health Care Information Council and provided to AHRQ. Values ba h and Quality, Rockville,
MD. https://hcupnet.ahrq.gov/. For more information about HCUP data see
http://www.hcup-us.ahrq h and Quality (AHRQ), based on data collected by the Texas
Health Care Information Council and provided to AHRQ. Values ba h and Quality, Rockville,
MD. https://hcupnet.ahrq.gov/. For more information about HCUP data see
http://www.hcup-us.ahrq h and Quality (AHRQ), based on data collected by the Texas
Health Care Information Council and provided to AHRQ. Values ba h and Quality, Rockville,
MD. https://hcupnet.ahrq.gov/. For more information about HCUP data see
http://www.hcup-us.ahrq h and Quality (AHRQ), based on data collected by the Texas
Health Care Information Council and provided to AHRQ. Values ba h and Quality, Rockville,
MD. https://hcupnet.ahrq.gov/. For more information about HCUP data see
http://www.hcup-us.ahrq sification Software (CCS) | Diagnoses–Clinical Classification
Software (CCS): Diabetes mellitus with complications | Principal or ded to AHRQ. Values
based on 10 or fewer discharges or fewer than 2 hospitals in the State statistics (SID) are
suppressed to p ded to AHRQ. Values based on 10 or fewer discharges or fewer than 2
hospitals in the State statistics (SID) are suppressed to p ded to AHRQ. Values based on 10
or fewer discharges or fewer than 2 hospitals in the State statistics (SID) are suppressed to
p ded to AHRQ. Values based on 10 or fewer discharges or fewer than 2 hospitals in the
State statistics (SID) are suppressed to p ded to AHRQ. Values based on 10 or fewer
discharges or fewer than 2 hospitals in the State statistics (SID) are suppressed to p ded to
AHRQ. Values based on 10 or fewer discharges or fewer than 2 hospitals in the State
statistics (SID) are suppressed to p mplications | Principal or All-Listed: DIABETES
MELLITUS WITH COMPLICATIONS: Applied Research in Healthcare
AdministrationPrincipal | Outcome and Measures: Number | Patient Characteristics:
Race/ethnicity, Paye tics: Race/ethnicity, Payer | State: Texas HCUPnet – Hospital Inpatient
State Statistics Analysis Type: Rank | Setting of Care: Hospital Inpatient | Geographic
Settings: State | Years: 2014 | Categorization 2014 Texas Diagnoses–Clinical Classification
Software (CCS), Principal Rank order of Clinical Classification Software (CCS) Diagnoses by
Number Rank CCS Principal diagnosis category 1 218 Liveborn 2 2 Septicemia (except in
labor) 3 122 Pneumonia (except that caused by tuberculosis and sexually tra 4 108
Congestive heart failure, nonhypertensive 5 193 Trauma to perineum and vulva 6 203
Osteoarthritis 7 195 Other complications of birth, puerperium affecting managemen 8 189
Previous C-section 9 181 Other complications of pregnancy 10 50 Diabetes mellitus with
complications State statistics from HCUP State Inpatient Databases 2014, Agency for
Healthcare Research and Quality (AHRQ), ba See the ICD codes that comprise CCS categories
Citation: HCUPnet, Healthcare Cost and Utilization Project. Agency for Healthcare Research
and Quality, Rockville, M : State | Years: 2014 | Categorization Type: Diagnoses–Clinical
Classification Software (CCS) | Principal or All-Listed: Principal Total number of discharges:
5. N 374054 108842 66132 63377 61892 60901 57873 54744 50150 48356 care Research
and Quality (AHRQ), based on data collected by the Texas Health Care Information Council
and provided to AHR care Research and Quality, Rockville, MD. https://hcupnet.ahrq.gov/.
For more information about HCUP data see http://www. ncil and provided to AHRQ. Values
based on 10 or fewer discharges or fewer than 2 hospitals in the State statistics (SID) are
sup ate statistics (SID) are suppressed to protect confidentiality of patients and are
designated with an asterisk (*). …Purchase answer to see full attachment
