Common use of Data File Information Clause in Contracts

Data File Information. The 2013 Prescribed Medicines public use data set contains 327,557 prescribed medicine records. Each record represents one household-reported prescribed medicine that was purchased during calendar year 2013. Of the 327,557 prescribed medicine records, 321,552 records are associated with persons having a positive person-level weight (PERWT13F). The persons represented on this file had to meet either criterion a) or b) below: a) Be classified as a key in-scope person who responded for his or her entire period of 2013 eligibility (i.e., persons with a positive 2013 full-year person-level sampling weight (PERWT13F > 0)), or b) Be an eligible member of a family all of whose key in-scope members have a positive person-level weight (PERWT13F > 0). (Such a family consists of all persons with the same value for FAMIDYR.) That is, the person must have a positive full-year family-level weight (FAMWT13F > 0). Note that FAMIDYR and FAMWT13F are variables on the 2013 Full Year Consolidated Data File. Persons with no prescribed medicine use for 2013 are not included on this file (but are represented on MEPS person-level files). A codebook for the data file is provided (in file H160acb.pdf). This file includes prescribed medicine records for all household members who resided in eligible responding households and for whom at least one prescribed medicine was reported. Only prescribed medicines that were purchased in calendar year 2013 are represented on this file. This file includes prescribed medicines identified in the Prescribed Medicines (PM) section of the HC survey instrument, as well as those prescribed medicines identified in association with other medical events. Each record on this file represents a single acquisition of a prescribed medicine reported by household respondents. Some household members may have multiple acquisitions of prescribed medicines and thus will be represented in multiple records on this file. Other household members may have no reported acquisitions of prescribed medicines and thus will have no records on this file. When diabetic supplies, such as syringes and insulin, were mentioned in the Other Medical Expenses (OM) section of the MEPS-HC, the interviewer was directed to collect information on these items in the Prescribed Medicines section of the MEPS questionnaire. The respondent was also asked the questions in the Charge Payment (CP) section of the HC. To the extent that these items are purchased without a prescription, they represent a non-prescription addition to the MEPS prescription drug expenditure and utilization data. Although these items may be purchased without a prescription, a prescription purchase may be required to obtain third party payments. Analysts are free to code and define diabetic supply/equipment and insulin events utilizing their own coding mechanism. If desired, this would enable analysts to subset the Prescribed Medicines file to exclude these types of events. It should also be noted that refills are included on this file. The HC obtains information on the name of the prescribed medicine and the number of times the medicine was obtained. The data collection design for the HC does not allow separate records to be created for multiple acquisitions of the same prescribed medicine. However, in the PC, each original purchase, as well as any refill, is considered a unique prescribed medicine event. Therefore, for the purposes of editing, imputation, and analysis, all records in the HC were “unfolded” to create separate records for each original purchase and each refill. Please note that for multiple acquisitions of the same drug, MEPS did not collect information in the HC to distinguish between the original purchase and refills. The survey only collected data on the number of times a prescribed medicine was acquired during a round. In some cases, all purchases may have been refills of an original purchase in a prior round or prior to the survey year. The file also includes a variable, SAMPLE, which indicates whether or not the household reported receiving a free sample of that drug in that round. (To obtain more details on free samples, please see Section 2.6.2.5.) Each record on this file includes the following: an identifier for each unique prescribed medicine; detailed characteristics associated with the event (e.g., national drug code (NDC), medicine name, selected Multum Lexicon variables [see Section 2.6.3 for more information on the Multum Lexicon variables included on this file], etc.); conditions, if any, associated with the medicine; the date on which the person first used the medicine; total expenditure and sources of payments; types of pharmacies that filled the household’s prescriptions; whether the prescription is one of which the household received a free sample during the round; and a full-year person-level weight. Data from this file can be merged with previously released MEPS-HC person-level data using the unique person identifier, DUPERSID, to append person characteristics such as demographic or health insurance coverage to each record. Data from this file can also be merged with the 2013 Full Year Consolidated Data File to estimate expenditures for persons with prescribed medicines. The Prescribed Medicines event file can also be linked to the MEPS 2013 Medical Conditions File and additional MEPS 2013 event files. Please see the 2013 Appendix File for details on how to link MEPS data files.

Data File Information. The 2013 2015 Prescribed Medicines public use data set contains 327,557 330,453 prescribed medicine records. Each record represents one household-reported prescribed medicine that was purchased during calendar year 20132015. Of the 327,557 330,453 prescribed medicine records, 321,552 324,957 records are associated with persons having a positive person-level weight (PERWT13FPERWT15F). The persons represented on this file had to meet either criterion a) or b) below: a) Be classified as a key in-scope person who responded for his or her entire period of 2013 2015 eligibility (i.e., persons with a positive 2013 2015 full-year person-level sampling weight (PERWT13F PERWT15F > 0)), or b) Be an eligible member of a family all of whose key in-scope members have a positive person-level weight (PERWT13F PERWT15F > 0). (Such a family consists of all persons with the same value for FAMIDYR.) That is, the person must have a positive full-year family-level weight (FAMWT13F FAMWT15F > 0). Note that FAMIDYR and FAMWT13F FAMWT15F are variables on the 2013 2015 Full Year Consolidated Data File. Persons with no prescribed medicine use for 2013 2015 are not included on this file (but are represented on MEPS person-level files). A codebook for the data file is provided (in file H160acb.pdfH178acb.pdf). This file includes prescribed medicine records for all household members who resided in eligible responding households and for whom at least one prescribed medicine was reported. Only prescribed medicines that were purchased in calendar year 2013 2015 are represented on this file. This file includes prescribed medicines identified in the Prescribed Medicines (PM) section of the HC survey instrument, as well as those prescribed medicines identified in association with other medical events. Each record on this file represents a single acquisition of a prescribed medicine reported by household respondents. Some household members may have multiple acquisitions of prescribed medicines and thus will be represented in multiple records on this file. Other household members may have no reported acquisitions of prescribed medicines and thus will have no records on this file. When diabetic supplies, such as syringes and insulin, were mentioned in the Other Medical Expenses (OM) section of the MEPS-HC, the interviewer was directed to collect information on these items in the Prescribed Medicines section of the MEPS questionnaire. The (Prior to 2014, the respondent was also asked the questions in the Charge Payment (CP) section of the HC. .) To the extent that these items are purchased without a prescription, they represent a non-prescription addition to the MEPS prescription drug expenditure and utilization data. Although these items may be purchased without a prescription, a prescription purchase may be required to obtain third party payments. Analysts are free to code and define diabetic supply/equipment and insulin events utilizing their own coding mechanism. If desired, this would enable analysts to subset the Prescribed Medicines file to exclude these types of events. It should also be noted that refills are included on this file. The HC obtains information on the name of the prescribed medicine and the number of times the medicine was obtained. The data collection design for the HC does not allow separate records to be created for multiple acquisitions of the same prescribed medicine. However, in the PC, each original purchase, as well as any refill, is considered a unique prescribed medicine event. Therefore, for the purposes of editing, imputation, and analysis, all records in the HC were “unfolded” to create separate records for each original purchase and each refill. Please note that for multiple acquisitions of the same drug, MEPS did not collect information in the HC to distinguish between the original purchase and refills. The survey only collected data on the number of times a prescribed medicine was acquired during a round. In some cases, all purchases may have been refills of an original purchase in a prior round or prior to the survey year. The file also includes a variable, SAMPLE, which indicates whether or not the household reported receiving a free sample of that drug in that round. (To obtain more details on free samples, please see Section 2.6.2.5.) Each record on this file includes the following: an identifier for each unique prescribed medicine; detailed characteristics associated with the event (e.g., national drug code (NDC), medicine name, selected Multum Lexicon variables [see Section 2.6.3 for more information on the Multum Lexicon variables included on this file], etc.); conditions, if any, associated with the medicine; the date on which the person first used the medicine; total expenditure and sources of payments; types of pharmacies that filled the household’s prescriptions; whether the prescription is one of which the household received a free sample during the round; and a full-year person-level weight. Data from this file can be merged with previously released MEPS-HC person-level data using the unique person identifier, DUPERSID, to append person characteristics such as demographic or health insurance coverage to each record. Data from this file can also be merged with the 2013 2015 Full Year Consolidated Data File to estimate expenditures for persons with prescribed medicines. The Prescribed Medicines event file can also be linked to the MEPS 2013 2015 Medical Conditions File and additional MEPS 2013 2015 event files. Please see the 2013 2015 Appendix File for details on how to link MEPS data files.

Data File Information. The 2013 2010 Prescribed Medicines public use data set contains 327,557 301,032 prescribed medicine records. Each record represents one household-household reported prescribed medicine that was purchased during calendar year 20132010. Of the 327,557 301,032 prescribed medicine records, 321,552 295,028 records are associated with persons having a positive person-level weight (PERWT13FPERWT10F). The persons represented on this file had to meet either criterion a) a or b) b below: a) Be classified as a key in-scope person who responded for his or her entire period of 2013 2010 eligibility (i.e., persons with a positive 2013 2010 full-year person-level sampling weight (PERWT13F PERWT10F > 0)), or b) Be an eligible member of a family all of whose key in-scope members have a positive person-level weight (PERWT13F PERWT10F > 0). (Such a family consists of all persons with the same value for FAMIDYR.) That is, the person must have a positive full-full- year family-level weight (FAMWT13F > FAMWT10F >0). Note that FAMIDYR and FAMWT13F FAMWT10F are variables on the 2013 Full Year Consolidated Data File2010 Population Characteristics file. Persons with no prescribed medicine use for 2013 2010 are not included on this file (but are represented on MEPS person-level files). A codebook for the data file is provided (in file H160acb.pdfH135acb.pdf). This file includes prescribed medicine records for all household members who resided in eligible responding households and for whom at least one prescribed medicine was reported. Only prescribed medicines that were purchased in calendar year 2013 2010 are represented on this file. This file includes prescribed medicines identified in the Prescribed Medicines (PM) section of the HC survey instrument, as well as those prescribed medicines identified in association with other medical events. Each record on this file represents a single acquisition of a prescribed medicine reported by household respondents. Some household members may have multiple acquisitions of prescribed medicines and thus will be represented in multiple records on this file. Other household members may have no reported acquisitions of prescribed medicines and thus will have no records on this file. When diabetic supplies, such as syringes and insulin, were mentioned in the Other Medical Expenses (OM) section of the MEPS-HC, the interviewer was directed to collect information on these items in the Prescribed Medicines section of the MEPS questionnaire. The respondent was also asked the questions in the Charge Payment (CP) section of the HC. To the extent that these items are purchased without a prescription, they represent a non-prescription addition to the MEPS prescription drug expenditure and utilization data. Although these items may be purchased without a prescription, a prescription purchase may be required to obtain third party payments. Analysts are free to code and define diabetic supply/equipment and insulin events utilizing their own coding mechanism. If desired, this would enable analysts to subset the Prescribed Medicines file to exclude these types of events. It should also be noted that refills are included on this file. The HC obtains information on the name of the prescribed medicine and the number of times the medicine was obtained. The data collection design for the HC does not allow separate records to be created for multiple acquisitions of the same prescribed medicine. However, in the PC, each original purchase, as well as any refill, is considered a unique prescribed medicine event. Therefore, for the purposes of editing, imputation, and analysis, all records in the HC were “unfolded” to create separate records for each original purchase and each refill. Please note that for multiple acquisitions of the same drug, MEPS did not collect information in the HC to distinguish between the original purchase and refills. The survey only collected data on the number of times a prescribed medicine was acquired during a round. In some cases, all purchases may have been refills of an original purchase in a prior round or prior to the survey year. The file also includes a variable, SAMPLE, which indicates whether or not the household reported receiving a free sample of that drug in that round. (To obtain more details on free samples, please see Section 2.6.2.5.) Each record on this file includes the following: an identifier for each unique prescribed medicine; detailed characteristics associated with the event (e.g., national drug code (NDC), medicine name, selected Multum Lexicon variables [see Section 2.6.3 for more information on the Multum Lexicon variables included on this file], etc.); conditions, if any, associated with the medicine; the date on which the person first used the medicine; total expenditure and sources of payments; types of pharmacies that filled the household’s prescriptions; whether the prescription is one of which the household received a free sample during the round; and a full-year person-level weight. Data from this file can be merged with previously released MEPS-HC person-level data using the unique person identifier, DUPERSID, to append person characteristics such as demographic or health insurance coverage to each record. Data from this file can also be merged with the 2013 2010 Full Year Consolidated Data File to estimate expenditures for persons with prescribed medicines. The Prescribed Medicines event file can also be linked to the MEPS 2013 2010 Medical Conditions File and additional MEPS 2013 2010 event files. Please see the 2013 2010 Appendix File for details on how to link MEPS data files.

Data File Information. The 2013 2016 Prescribed Medicines public use data set contains 327,557 319,685 prescribed medicine records. Each record represents one household-reported prescribed medicine that was purchased during calendar year 20132016. Of the 327,557 319,685 prescribed medicine records, 321,552 315,212 records are associated with persons having a positive person-level weight (PERWT13FPERWT16F). The persons represented on this file had to meet either criterion a) or b) below: a) Be classified as a key in-scope person who responded for his or her entire period of 2013 2016 eligibility (i.e., persons with a positive 2013 2016 full-year person-level sampling weight (PERWT13F PERWT16F > 0)), or b) Be an eligible member of a family all of whose key in-scope members have a positive person-level weight (PERWT13F PERWT16F > 0). (Such a family consists of all persons with the same value for FAMIDYR.) That is, the person must have a positive full-year family-level weight (FAMWT13F FAMWT16F > 0). Note that FAMIDYR and FAMWT13F FAMWT16F are variables on the 2013 2016 Full Year Consolidated Data File. Persons with no prescribed medicine use for 2013 2016 are not included on this file (but are represented on MEPS person-level files). A codebook for the data file is provided (in file H160acb.pdfH188acb.pdf). This file includes prescribed medicine records for all household members who resided in eligible responding households and for whom at least one prescribed medicine was reported. Only prescribed medicines that were purchased in calendar year 2013 2016 are represented on this file. This file includes prescribed medicines identified in the Prescribed Medicines (PM) section of the HC survey instrument, as well as those prescribed medicines identified in association with other medical events. Each record on this file represents a single acquisition of a prescribed medicine reported by household respondents. Some household members may have multiple acquisitions of prescribed medicines and thus will be represented in multiple records on this file. Other household members may have no reported acquisitions of prescribed medicines and thus will have no records on this file. When diabetic supplies, such as syringes and insulin, were mentioned in the Other Medical Expenses (OM) section of the MEPS-HC, the interviewer was directed to collect information on these items in the Prescribed Medicines section of the MEPS questionnaire. The (Prior to 2014, the respondent was also asked the questions in the Charge Payment (CP) section of the HC. .) To the extent that these items are purchased without a prescription, they represent a non-prescription addition to the MEPS prescription drug expenditure and utilization data. Although these items may be purchased without a prescription, a prescription purchase may be required to obtain third party payments. Analysts are free to code and define diabetic supply/equipment and insulin events utilizing their own coding mechanism. If desired, this would enable analysts to subset the Prescribed Medicines file to exclude these types of events. It should also be noted that refills are included on this file. The HC obtains information on the name of the prescribed medicine and the number of times the medicine was obtained. The data collection design for the HC does not allow separate records to be created for multiple acquisitions of the same prescribed medicine. However, in the PC, each original purchase, as well as any refill, is considered a unique prescribed medicine event. Therefore, for the purposes of editing, imputation, and analysis, all records in the HC were “unfolded” to create separate records for each original purchase and each refill. Please note that for multiple acquisitions of the same drug, MEPS did not collect information in the HC to distinguish between the original purchase and refills. The survey only collected data on the number of times a prescribed medicine was acquired during a round. In some cases, all purchases may have been refills of an original purchase in a prior round or prior to the survey year. The file also includes a variable, SAMPLE, which indicates whether or not the household reported receiving a free sample of that drug in that round. (To obtain more details on free samples, please see Section 2.6.2.5.) Each record on this file includes the following: an identifier for each unique prescribed medicine; detailed characteristics associated with the event (e.g., national drug code (NDC), medicine name, selected Multum Lexicon variables [see Section 2.6.3 for more information on the Multum Lexicon variables included on this file], etc.); conditions, if any, associated with the medicine; the date on which the person first used the medicine; total expenditure and sources of payments; types of pharmacies that filled the household’s prescriptions; whether the prescription is one of which the household received a free sample during the round; and a full-year person-level weight. Data from this file can be merged with previously released MEPS-HC person-level data using the unique person identifier, DUPERSID, to append person characteristics such as demographic or health insurance coverage to each record. Data from this file can also be merged with the 2013 2016 Full Year Consolidated Data File to estimate expenditures for persons with prescribed medicines. The Prescribed Medicines event file can also be linked to the MEPS 2013 2016 Medical Conditions File and additional MEPS 2013 2016 event files. Please see the 2013 2016 Appendix File for details on how to link MEPS data files.

Data File Information. The 2013 2012 Prescribed Medicines public use data set contains 327,557 324,744 prescribed medicine records. Each record represents one household-reported prescribed medicine that was purchased during calendar year 20132012. Of the 327,557 324,744 prescribed medicine records, 321,552 318,671 records are associated with persons having a positive person-level weight (PERWT13FPERWT12F). The persons represented on this file had to meet either criterion a) or b) below: a) Be classified as a key in-scope person who responded for his or her entire period of 2013 2012 eligibility (i.e., persons with a positive 2013 2012 full-year person-level sampling weight (PERWT13F PERWT12F > 0)), or b) Be an eligible member of a family all of whose key in-scope members have a positive person-level weight (PERWT13F PERWT12F > 0). (Such a family consists of all persons with the same value for FAMIDYR.) That is, the person must have a positive full-full- year family-level weight (FAMWT13F > FAMWT12F >0). Note that FAMIDYR and FAMWT13F FAMWT12F are variables on the 2013 2012 Full Year Consolidated Data File. Persons with no prescribed medicine use for 2013 2012 are not included on this file (but are represented on MEPS person-level files). A codebook for the data file is provided (in file H160acb.pdfH152acb.pdf). This file includes prescribed medicine records for all household members who resided in eligible responding households and for whom at least one prescribed medicine was reported. Only prescribed medicines that were purchased in calendar year 2013 2012 are represented on this file. This file includes prescribed medicines identified in the Prescribed Medicines (PM) section of the HC survey instrument, as well as those prescribed medicines identified in association with other medical events. Each record on this file represents a single acquisition of a prescribed medicine reported by household respondents. Some household members may have multiple acquisitions of prescribed medicines and thus will be represented in multiple records on this file. Other household members may have no reported acquisitions of prescribed medicines and thus will have no records on this file. When diabetic supplies, such as syringes and insulin, were mentioned in the Other Medical Expenses (OM) section of the MEPS-HC, the interviewer was directed to collect information on these items in the Prescribed Medicines section of the MEPS questionnaire. The respondent was also asked the questions in the Charge Payment (CP) section of the HC. To the extent that these items are purchased without a prescription, they represent a non-prescription addition to the MEPS prescription drug expenditure and utilization data. Although these items may be purchased without a prescription, a prescription purchase may be required to obtain third party payments. Analysts are free to code and define diabetic supply/equipment and insulin events utilizing their own coding mechanism. If desired, this would enable analysts to subset the Prescribed Medicines file to exclude these types of events. It should also be noted that refills are included on this file. The HC obtains information on the name of the prescribed medicine and the number of times the medicine was obtained. The data collection design for the HC does not allow separate records to be created for multiple acquisitions of the same prescribed medicine. However, in the PC, each original purchase, as well as any refill, is considered a unique prescribed medicine event. Therefore, for the purposes of editing, imputation, and analysis, all records in the HC were “unfolded” to create separate records for each original purchase and each refill. Please note that for multiple acquisitions of the same drug, MEPS did not collect information in the HC to distinguish between the original purchase and refills. The survey only collected data on the number of times a prescribed medicine was acquired during a round. In some cases, all purchases may have been refills of an original purchase in a prior round or prior to the survey year. The file also includes a variable, SAMPLE, which indicates whether or not the household reported receiving a free sample of that drug in that round. (To obtain more details on free samples, please see Section 2.6.2.5.) Each record on this file includes the following: an identifier for each unique prescribed medicine; detailed characteristics associated with the event (e.g., national drug code (NDC), medicine name, selected Multum Lexicon variables [see Section 2.6.3 for more information on the Multum Lexicon variables included on this file], etc.); conditions, if any, associated with the medicine; the date on which the person first used the medicine; total expenditure and sources of payments; types of pharmacies that filled the household’s prescriptions; whether the prescription is one of which the household received a free sample during the round; and a full-year person-level weight. Data from this file can be merged with previously released MEPS-HC person-level data using the unique person identifier, DUPERSID, to append person characteristics such as demographic or health insurance coverage to each record. Data from this file can also be merged with the 2013 2012 Full Year Consolidated Data File to estimate expenditures for persons with prescribed medicines. The Prescribed Medicines event file can also be linked to the MEPS 2013 2012 Medical Conditions File and additional MEPS 2013 2012 event files. Please see the 2013 2012 Appendix File for details on how to link MEPS data files.

Data File Information. The 2013 2014 Prescribed Medicines public use data set contains 327,557 319,467 prescribed medicine records. Each record represents one household-reported prescribed medicine that was purchased during calendar year 20132014. Of the 327,557 319,467 prescribed medicine records, 321,552 313,123 records are associated with persons having a positive person-level weight (PERWT13FPERWT14F). The persons represented on this file had to meet either criterion a) or b) below: a) Be classified as a key in-scope person who responded for his or her entire period of 2013 2014 eligibility (i.e., persons with a positive 2013 2014 full-year person-level sampling weight (PERWT13F PERWT14F > 0)), or b) Be an eligible member of a family all of whose key in-scope members have a positive person-level weight (PERWT13F PERWT14F > 0). (Such a family consists of all persons with the same value for FAMIDYR.) That is, the person must have a positive full-year family-level weight (FAMWT13F FAMWT14F > 0). Note that FAMIDYR and FAMWT13F FAMWT14F are variables on the 2013 2014 Full Year Consolidated Data File. Persons with no prescribed medicine use for 2013 2014 are not included on this file (but are represented on MEPS person-level files). A codebook for the data file is provided (in file H160acb.pdfH168acb.pdf). This file includes prescribed medicine records for all household members who resided in eligible responding households and for whom at least one prescribed medicine was reported. Only prescribed medicines that were purchased in calendar year 2013 2014 are represented on this file. This file includes prescribed medicines identified in the Prescribed Medicines (PM) section of the HC survey instrument, as well as those prescribed medicines identified in association with other medical events. Each record on this file represents a single acquisition of a prescribed medicine reported by household respondents. Some household members may have multiple acquisitions of prescribed medicines and thus will be represented in multiple records on this file. Other household members may have no reported acquisitions of prescribed medicines and thus will have no records on this file. When diabetic supplies, such as syringes and insulin, were mentioned in the Other Medical Expenses (OM) section of the MEPS-HC, the interviewer was directed to collect information on these items in the Prescribed Medicines section of the MEPS questionnaire. The (Prior to 2014, the respondent was also asked the questions in the Charge Payment (CP) section of the HC. .) To the extent that these items are purchased without a prescription, they represent a non-prescription addition to the MEPS prescription drug expenditure and utilization data. Although these items may be purchased without a prescription, a prescription purchase may be required to obtain third party payments. Analysts are free to code and define diabetic supply/equipment and insulin events utilizing their own coding mechanism. If desired, this would enable analysts to subset the Prescribed Medicines file to exclude these types of events. It should also be noted that refills are included on this file. The HC obtains information on the name of the prescribed medicine and the number of times the medicine was obtained. The data collection design for the HC does not allow separate records to be created for multiple acquisitions of the same prescribed medicine. However, in the PC, each original purchase, as well as any refill, is considered a unique prescribed medicine event. Therefore, for the purposes of editing, imputation, and analysis, all records in the HC were “unfolded” to create separate records for each original purchase and each refill. Please note that for multiple acquisitions of the same drug, MEPS did not collect information in the HC to distinguish between the original purchase and refills. The survey only collected data on the number of times a prescribed medicine was acquired during a round. In some cases, all purchases may have been refills of an original purchase in a prior round or prior to the survey year. The file also includes a variable, SAMPLE, which indicates whether or not the household reported receiving a free sample of that drug in that round. (To obtain more details on free samples, please see Section 2.6.2.5.) Each record on this file includes the following: an identifier for each unique prescribed medicine; detailed characteristics associated with the event (e.g., national drug code (NDC), medicine name, selected Multum Lexicon variables [see Section 2.6.3 for more information on the Multum Lexicon variables included on this file], etc.); conditions, if any, associated with the medicine; the date on which the person first used the medicine; total expenditure and sources of payments; types of pharmacies that filled the household’s prescriptions; whether the prescription is one of which the household received a free sample during the round; and a full-year person-level weight. Data from this file can be merged with previously released MEPS-HC person-level data using the unique person identifier, DUPERSID, to append person characteristics such as demographic or health insurance coverage to each record. Data from this file can also be merged with the 2013 2014 Full Year Consolidated Data File to estimate expenditures for persons with prescribed medicines. The Prescribed Medicines event file can also be linked to the MEPS 2013 2014 Medical Conditions File and additional MEPS 2013 2014 event files. Please see the 2013 2014 Appendix File for details on how to link MEPS data files.