Common use of Eyeglasses and Contact Lenses Clause in Contracts

Eyeglasses and Contact Lenses. Each record on this file where OMTYPEX = 1 contains information on total expenditures during a specific round for eyeglasses and/or contact lenses (a maximum of 3 records for a sample person). Variables for annual expenditure data for eyeglasses/contact lenses (obtained by cumulating across round specific data in this file) are included on the annual Full-Year Consolidated File. Other medical equipment, supplies and services: Each of the records in this file where OMTYPEX does not equal 1 contains person-specific information on annual expenditures for a specific category of medical equipment and supplies asked about in the survey. Estimates of the total number of persons with expenditures for an item during the year are the sum of the weight variable (PERWT15F) across relevant records (e.g., for ambulance services, records where OMTYPEX = 4). Estimates of expenditure variables must be weighted by PERWT15F to be nationally representative. For example, the estimate for the total expenditures for ambulance services paid out of pocket is produced by summing the product of the variables PERWT15F and OMSF15X across all the events in the file where OMTYPEX = 4 as follows (the subscript ‘j’ identifies each event and represents a numbering of events from 1 through the total number of events in the file): ∑ Wj Xj, where Wj = PERWT15Fj (full-year weight for the person associated with event j) and Xj = OMSF15Xj (amount paid by self/family for event j) where OMTYPEX = 4. The estimate for the total annual expenditures for ambulance services paid out of pocket per person with that type of expense is produced as follows (the subscript ‘j’ identifies each event and represents a numbering of events from 1 through the total number of events in the file): (∑ Wj Xj)/(∑ Wj), where Wj = PERWT15Fj (full-year weight for the person associated with event j) and Xj = OMSF15Xj (amount paid by self/family for event j) where OMTYPEX = 4. This type of estimate and corresponding standard error (SE) can be derived using an appropriate computer software package for complex survey analysis such as SAS, Stata, SUDAAN or SPSS. For information please see xxxx.xxxx.xxx/xxxxxx_xxxx/xxxxxxxx_xxxxxx.xxx. Variables are contained on the full-year annual file for aggregate expenditures across all of these types of services/items (OMTYPEX = 4-11 or 91), but it is necessary to use this file to produce an annual estimate for a specific category of service. Small sample sizes make it advisable to pool multiple years of MEPS data to produce statistically reliable estimates for some of the items.

Eyeglasses and Contact Lenses. Each record on this file where OMTYPEX = 1 contains information on total expenditures during a specific round for eyeglasses and/or contact lenses (a maximum of 3 records for a sample person). Variables for annual expenditure data for eyeglasses/contact lenses (obtained by cumulating across round specific data in this file) are included on the annual Fullfull-Year Consolidated Fileyear consolidated file. Other medical equipment, supplies and services: Each of the records in this file where OMTYPEX does not equal 1 contains person-specific information on annual expenditures for a specific category of medical equipment and supplies asked about in the survey. Estimates of the total number of persons with expenditures for an item during the year are the sum of the weight variable (PERWT15FPERWT09F) across relevant records (e.g., for ambulance services, records where OMTYPEX = 4). Estimates of expenditure variables must be weighted by PERWT15F PERWT09F to be nationally representative. For example, the estimate for the total expenditures for ambulance services paid out of pocket is produced by summing the product of the variables PERWT15F PERWT09F and OMSF15X OMSF09X across all the events in the file where OMTYPEX = 4 as follows (the subscript ‘j’ identifies each event and represents a numbering of events from 1 through the total number of events in the file): ∑ Wj Xj, where Wj = PERWT15Fj PERWT09Fj (full-full year weight for the person associated with event j) and Xj = OMSF15Xj OMSF09Xj (amount paid by self/family for event j) where OMTYPEX = 4. The estimate for the total annual expenditures for ambulance services paid out of pocket per person with that type of expense is produced as follows (the subscript ‘j’ identifies each event and represents a numbering of events from 1 through the total number of events in the file): (∑ Wj Xj)/(∑ Xj/∑ Wj), where Wj = PERWT15Fj PERWT09Fj (full-full year weight for the person associated with event j) and Xj = OMSF15Xj OMSF09Xj (amount paid by self/family for event j) where OMTYPEX = 4. This type of estimate and corresponding standard error (SE) can be derived using an appropriate computer software package for complex survey analysis such as SAS, Stata, SUDAAN or SPSS. For information please see xxxx.xxxx.xxx/xxxxxx_xxxx/xxxxxxxx_xxxxxx.xxxSPSS (xxx.xxxx.xxxx.xxx/xxxxxx_xxxx/xxxxxxxx_xxxxxx.xxx). Variables are contained on the full-full year annual file for aggregate expenditures across all of these types of services/items (OMTYPEX = 4-11 or 91), but it is necessary to use this file to produce an annual estimate for a specific category of service. Small sample sizes make it advisable to pool multiple years of MEPS data to produce statistically reliable estimates for some of the items.

Eyeglasses and Contact Lenses. Each record on this file where OMTYPEX = 1 contains information on total expenditures during a specific round for eyeglasses and/or contact lenses (a maximum of 3 records for a sample person). Variables for annual expenditure data for eyeglasses/contact lenses (obtained by cumulating across round specific data in this file) are included on the annual Full-Year Consolidated File. Other medical equipment, supplies and services: Each of the records in this file where OMTYPEX does not equal 1 contains person-specific information on annual expenditures for a specific category of medical equipment and supplies asked about in the survey. Estimates of the total number of persons with expenditures for an item during the year are the sum of the weight variable (PERWT15FPERWT16F) across relevant records (e.g., for ambulance services, records where OMTYPEX = 4). Estimates of expenditure variables must be weighted by PERWT15F PERWT16F to be nationally representative. For example, the estimate for the total expenditures for ambulance services paid out of pocket is produced by summing the product of the variables PERWT15F PERWT16F and OMSF15X OMSF16X across all the events in the file where OMTYPEX = 4 as follows (the subscript ‘j’ identifies each event and represents a numbering of events from 1 through the total number of events in the file): ∑ Wj Xj, where Wj = PERWT15Fj PERWT16Fj (full-year weight for the person associated with event j) and Xj = OMSF15Xj OMSF16Xj (amount paid by self/family for event j) where OMTYPEX = 4. The estimate for the total annual expenditures for ambulance services paid out of pocket per person with that type of expense is produced as follows (the subscript ‘j’ identifies each event and represents a numbering of events from 1 through the total number of events in the file): (∑ Wj Xj)/(∑ Wj), where Wj = PERWT15Fj PERWT16Fj (full-year weight for the person associated with event j) and Xj = OMSF15Xj OMSF16Xj (amount paid by self/family for event j) where OMTYPEX = 4. This type of estimate and corresponding standard error (SE) can be derived using an appropriate computer software package for complex survey analysis such as SAS, Stata, SUDAAN or SPSS. For information please see xxxx.xxxx.xxx/xxxxxx_xxxx/xxxxxxxx_xxxxxx.xxx. Variables are contained on the full-year annual file for aggregate expenditures across all of these types of services/items (OMTYPEX = 4-11 or 91), but it is necessary to use this file to produce an annual estimate for a specific category of service. Small sample sizes make it advisable to pool multiple years of MEPS data to produce statistically reliable estimates for some of the items.

Eyeglasses and Contact Lenses. Each record on this file where OMTYPEX = 1 contains information on total expenditures during a specific round for eyeglasses and/or contact lenses (a maximum of 3 records for a sample person). Variables for annual expenditure data for eyeglasses/contact lenses (obtained by cumulating across round specific data in this file) are included on the annual Fullfull-Year Consolidated Fileyear consolidated file. Other medical equipment, supplies and services: Each of the records in this file where OMTYPEX does not equal 1 contains person-specific information on annual expenditures for a specific category of medical equipment and supplies asked about in the survey. Estimates of the total number of persons with expenditures for an item during the year are the sum of the weight variable (PERWT15FPERWT10F) across relevant records (e.g., for ambulance services, records where OMTYPEX = 4). Estimates of expenditure variables must be weighted by PERWT15F PERWT10F to be nationally representative. For example, the estimate for the total expenditures for ambulance services paid out of pocket is produced by summing the product of the variables PERWT15F PERWT10F and OMSF15X OMSF10X across all the events in the file where OMTYPEX = 4 as follows (the subscript ‘j’ identifies each event and represents a numbering of events from 1 through the total number of events in the file): ∑ Wj Xj, where Wj = PERWT15Fj PERWT10Fj (full-full year weight for the person associated with event j) and Xj = OMSF15Xj OMSF10Xj (amount paid by self/family for event j) where OMTYPEX = 4. The estimate for the total annual expenditures for ambulance services paid out of pocket per person with that type of expense is produced as follows (the subscript ‘j’ identifies each event and represents a numbering of events from 1 through the total number of events in the file): (∑ Wj Xj)/(∑ Xj/∑ Wj), where Wj = PERWT15Fj PERWT10Fj (full-full year weight for the person associated with event j) and Xj = OMSF15Xj OMSF10Xj (amount paid by self/family for event j) where OMTYPEX = 4. This type of estimate and corresponding standard error (SE) can be derived using an appropriate computer software package for complex survey analysis such as SAS, Stata, SUDAAN or SPSS. For information please see xxxx.xxxx.xxx/xxxxxx_xxxx/xxxxxxxx_xxxxxx.xxx. Variables are contained on the full-year annual file for aggregate expenditures across all of these types of services/items (OMTYPEX = 4-11 or 91), but it is necessary to use this file to produce an annual estimate for a specific category of service. Small sample sizes make it advisable to pool multiple years of MEPS data to produce statistically reliable estimates for some of the items.