Literature DB >> 7461972

Do-not-admit versus inpatient surgery in an HMO: determinants of choice and the implications for medical care costs.

D R Lairson, A E Barón, J M Swint, M R Greenlick, S D Marks.   

Abstract

We develop a model for investigating the implications of policies that have encouraged a shift from inpatient to do-not-admit (DNA) surgery. We use discriminant function analysis on date for two surgical procedures from the Kaiser Permanente Medical Care Program of Portland, Oregon. Case attributes found to be significantly associated with the choice of surgery mode are surgeons' rate of inpatient surgery, number of chronic conditions per patient, time in surgery, number of procedures performed, and type of anesthesia used. Our estimates of cost savings provide support on economic grounds for the use of DNA surgery, for the types of surgery investigated. Our results also suggest that simple evaluation methods, based on the mean length of stay and on extrapolation of proportion of DNA cases from the base year to the current year, may overestimate the cost savings derived from the shift to DNA surgery.

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Mesh:

Year:  1980        PMID: 7461972      PMCID: PMC1072189     

Source DB:  PubMed          Journal:  Health Serv Res        ISSN: 0017-9124            Impact factor:   3.402


  4 in total

1.  Surgicenter tells plans for 5th, 6th freestanding surgery clinics.

Authors:  C K Beyers
Journal:  Mod Healthc (Short Term Care)       Date:  1976-09

2.  Development of an independent outpatient surgical center.

Authors:  W A Reed; J L Ford
Journal:  Int Anesthesiol Clin       Date:  1976

3.  Determinants of medical care utilization.

Authors:  M R Greenlick; A V Hurtado; C R Pope; E W Saward; S S Yoshioka
Journal:  Health Serv Res       Date:  1968       Impact factor: 3.402

4.  Ambulatory surgery in an HMO. A study of costs, quality of care and satisfaction.

Authors:  S D Marks; M R Greenlick; A V Hurtado; J D Johnson; J Henderson
Journal:  Med Care       Date:  1980-02       Impact factor: 2.983

  4 in total
  3 in total

Review 1.  Variations in lengths of stay and rates of day case surgery: implications for the efficiency of surgical management.

Authors:  M Morgan; R Beech
Journal:  J Epidemiol Community Health       Date:  1990-06       Impact factor: 3.710

2.  Impact of administrative technology on acute care bed need.

Authors:  J B Martin; G A Dahlstrom; C M Johnston
Journal:  Health Serv Res       Date:  1985-04       Impact factor: 3.402

3.  How much day surgery? Delphic predictions.

Authors:  J Gabbay; L Francis
Journal:  BMJ       Date:  1988-11-12
  3 in total

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