Abstract
Objective
To determine the relative effects of population size, FP and GP supply, and other specialist supply on chemistry and hematology test volumes (ie, number of tests performed).
Design
Population-level analysis using secondary data from the Calgary Health Zone for 2004 to 2009.
Setting
Calgary, Alta.
Main outcome measures
The relative effects of population size, FP and GP supply, and other specialist supply on laboratory test use.
Results
Population size was the strongest predictor of test volumes in a multivariate analysis. The FP and GP supply was significantly negatively correlated with chemistry test volume (partial r2 = 0.186, P = .045). There was a trend toward decreasing use of hematology tests with increasing FP and GP supply (partial r2 = 0.117, P = .119).
Conclusion
The relationship between FP and GP supply and laboratory test use is complex, but increasing numbers of FPs do not necessarily indicate an increase in laboratory test use and might be associated with a decrease in test use when other factors are controlled for.
Résumé
Objectif
Déterminer l’influence relative de la taille de la population, de la disponibilité de MF et d’omnipraticiens (OP) et de celle des autres spécialistes sur le volume d’examens chimiques et hématologiques (c.-à-d. le nombre d’examens effectués).
Type d’étude
Analyse stratifiée à l’aide de données secondaires tirées de Calgary Health Zone pour les années 2004 à 2009.
Contexte
Calgary, Alberta.
Principaux paramètres à l’étude
Effets relatifs de la taille de la population, de la disponibilité de MF et d’OP et de celle d’autres spécialistes sur l’utilisation des examens de laboratoire.
Résultats
Selon l’analyse multifactorielle, le meilleur prédicteur du volume d’examens était la taille de la population. Il y avait une corrélation négative statistiquement significative entre le nombre d’examens chimiques et la disponibilité de MF et d’OP (r2 partiel = 0,186, P = ,045). On notait une tendance à la baisse de l’utilisation des examens hématologiques lorsqu’il y avait plus de MF et d’OP (r2 partiel = 0,117, P = 0,119).
Conclusion
La relation entre la disponibilité de MF et d’OP et l’utilisation d’examens de laboratoire est complexe, mais la présence d’un plus grand nombre de MF ne s’accompagne pas nécessairement d’une plus forte demande d’examens de laboratoire, et elle pourrait même s’accompagner d’une baisse de ces demandes lorsqu’on tient compte des autres facteurs.
A 2010 Health Council of Canada report concluded that FPs are overusing diagnostic imaging and overprescribing medications.1 However, the relationship between FPs and resource use is more complex than this analysis would suggest. It is true that per capita health spending is positively correlated with the supply of physicians and hospital beds.2 The overall relationship between physician supply and laboratory test use has not been adequately explored. The first point to be made is that not all physicians order tests at the same rate. For example, increased test ordering has been reported in certain demographic groups including female physicians,3,4 physicians in urban practices,4 and physicians with increasing time since medical school graduation.5 Moreover, in teaching hospitals, a large proportion of the variation in laboratory test use might be attributable to house staff.6 A better understanding of the role of FPs in laboratory test use is critically important, as inappropriate laboratory testing might represent 10% to 50% of hospital laboratory workload.7 In fact, the rationalization of laboratory testing is one of the key challenges facing laboratory medicine.8 It is plausible that an increase in FP supply would result in lower per capita test use, as the primary care emphasis on prevention and care coordination might lead to fewer emergency department and urgent care clinic visits and less “defensive” ordering of laboratory tests. A similar relationship was reported for use of clinical resources: a higher proportion of primary care physicians was associated with decreased hospital admissions, emergency department visits, and surgeries.9
To further explore the possible effect of primary care physician supply on the ordering of laboratory tests, I examined the relationships among population size, physician supply, and laboratory test volumes during a 6-year period in Calgary, Alta. The demographic characteristics of Calgary make it particularly amenable to this type of analysis, as both the population size and the physician supply are rapidly changing and there remains a considerable segment of the population (estimated to be 250 000 people in 2010) that does not have access to FPs.10 Also, despite overall population growth, the population age stratification during the period in question remained relatively stable.
METHODS
Quarterly data on physician supply (FPs and GPs, and other specialists) for the Calgary Health Zone from 2004 to 2009 were obtained from the physician supply reports of the College of Physicians and Surgeons of Alberta.11–13 Quarterly laboratory test volumes for the same period were obtained from Calgary Laboratory Services, the sole provider of laboratory services for the approximately 1.3 million residents of the Calgary Health Region. Data were analyzed separately for chemistry and hematology test volumes. Population estimates for the Calgary Economic Region were obtained from the Calgary Economic Development commission.14 Yearly population estimates were interpolated to provide quarterly estimates. The physician supply data are considered to be complete, as they are based on actual physician registration with the College of Physicians and Surgeons of Alberta. Likewise, essentially all laboratory tests (publicly and privately funded) in Calgary are performed by the Calgary Laboratory Services, making it highly likely that the test volume data are complete. Population estimates were based on the Calgary Economic Region rather than the Calgary Health Zone, but these geographic regions are highly similar. The raw data used in the analyses are given in Table 1. The relative effects of population size, FP and GP supply, and other specialist supply on laboratory test use were determined using multiple linear regression, with test volume as the dependent variable. Analyses were conducted using SPSS, version 15 for Windows.
Table 1.
Number of FPs and GPs, number of other specialists, total population, and laboratory test volumes for the Calgary Health Zone from 2004 to 2009, listed by quarter
YEAR AND QUARTER | POPULATION | NO. OF FPs AND GPs | NO. OF OTHER SPECIALISTS | CHEMISTRY TEST VOLUME | HEMATOLOGY TEST VOLUME |
---|---|---|---|---|---|
2004, Q1 | 1 101 500 | 1117 | 1230 | 2 445 557 | 709 954 |
2004, Q2 | 1 107 000 | 1118 | 1239 | 2 469 381 | 705 955 |
2004, Q3 | 1 112 500 | 1166 | 1299 | 2 420 734 | 702 728 |
2004, Q4 | 1 118 000 | 1174 | 1307 | 2 549 581 | 726 668 |
2005, Q1 | 1 124 000 | 1176 | 1309 | 2 614 974 | 743 992 |
2005, Q2 | 1 130 000 | 1183 | 1313 | 2 752 263 | 768 256 |
2005, Q3 | 1 136 000 | 1213 | 1387 | 2 585 705 | 733 092 |
2005, Q4 | 1 142 000 | 1224 | 1386 | 2 707 780 | 758 990 |
2006, Q1 | 1 153 500 | 1224 | 1390 | 2 908 819 | 798 824 |
2006, Q2 | 1 165 000 | 1242 | 1402 | 2 956 519 | 801 939 |
2006, Q3 | 1 176 500 | 1284 | 1468 | 2 831 581 | 775 067 |
2006, Q4 | 1 188 000 | 1298 | 1474 | 2 892 196 | 787 744 |
2007, Q1 | 1 198 500 | 1292 | 1461 | 3 195 608 | 853 647 |
2007, Q2 | 1 209 000 | 1314 | 1467 | 3 307 769 | 870 317 |
2007, Q3 | 1 219 500 | 1355 | 1534 | 3 170 548 | 844 591 |
2007, Q4 | 1 230 000 | 1365 | 1533 | 3 202 513 | 842 511 |
2008, Q1 | 1 235 500 | 1368 | 1525 | 3 042 967 | 816 003 |
2008, Q2 | 1 241 000 | 1383 | 1541 | 3 072 819 | 819 690 |
2008, Q3 | 1 246 500 | 1418 | 1615 | 2 966 714 | 801 311 |
2008, Q4 | 1 252 000 | 1422 | 1608 | 3 070 917 | 829 695 |
2009, Q1 | 1 263 000 | 1426 | 1599 | 3 536 272 | 885 299 |
2009, Q2 | 1 274 000 | 1434 | 1609 | 3 913 901 | 903 491 |
2009, Q3 | 1 285 000 | 1466 | 1671 | 3 726 561 | 876 965 |
2009, Q4 | 1 296 000 | 1474 | 1672 | 3 556 998 | 859 689 |
Q1—first quarter, Q2—second quarter, Q3—third quarter, Q4—fourth quarter.
RESULTS
Population size, FP and GP supply, and other specialist supply were associated with increased use of both chemistry and hematology testing. The strongest relationship was between population size and test volumes. Representative of this, the relationship between population size and chemistry test volume is given in Figure 1A. However, population size, FP and GP supply, and other specialist supply are themselves highly correlated. To control for this, I performed a multiple linear regression with test volume as the dependent variable and population size, FP and GP supply, and other specialist supply as the independent variables. The resulting partial regressions provide estimates of the relative contribution of each of these variables. In this model, the strongest predictor of test volumes for both chemistry and hematology tests was population size (Table 2), which explained approximately 42% of the variation in chemistry test volume and 32% of the variation in hematology test volume. Increased FP and GP supply was associated with decreased test use, explaining approximately 18% of the variance in chemistry test volume (Figure 1B, Table 2) and 12% of the variance in hematology test volumes (Figure 1C, Table 2). This relationship was statistically significant for chemistry tests (P = .045) but nonsignificant for hematology tests (P = .119). Other specialist supply showed nonsignificant positive relationships with increased test volume (P = .303 and P = .446; Table 2).
Figure 1.
Relative effects of population size in Calgary, Alta, and FP and GP supply on laboratory test use: A) Univariate regression between quarterly chemistry test volume and population. B) Partial regression plot of quarterly chemistry test volume and number of FPs and GPs (physician supply is given as z score–corrected data to reduce the high colinearity in the original data). C) Partial regression plot of quarterly hematology test volume and number of FPs and GPs (physician supply is given as z score–corrected data to reduce the high colinearity in the original data).
Table 2.
Partial correlation coefficients (multiple linear regression) for laboratory test use in Calgary, Alta, and population size, FP and GP supply, and other specialist supply
TESTS | β COEFFICIENT | P VALUE |
---|---|---|
Chemistry | ||
• Population size | 3.181 | .001* |
• FP and GP supply | −3.254 | .045* |
• Other specialist supply | 0.976 | .303 |
Hematology | ||
• Population size | 2.845 | .006* |
• FP and GP supply | −2.748 | .119 |
• Other specialist supply | 0.797 | .446 |
Statistically significant at P < .05.
DISCUSSION
In this study I have presented a population-level analysis of the correlates of physician supply and population size with laboratory test volume. Owing to the nature of the available data, it was not possible to account for the possible effects of differences in access to FPs by patient and disease type. In this analysis, population size was the greatest predictor of laboratory test use; the number of FPs and GPs and other specialists in Calgary was a poorer predictor of laboratory test use. I found evidence to suggest that increasing FP and GP supply might actually decrease laboratory test use when other variables are controlled for. Although the association was statistically significant for chemistry test volume and FP and GP supply, the association was not significant for hematology test volume and FP and GP supply. This might be owing to the relatively small sample sizes or might be related to the observation that per capita chemistry test use has increased at a faster rate than per capita hematology test use (Table 1).
A possible explanation for the association between laboratory test use and FP and GP supply is that patients with access to FPs might rely less on emergency departments and urgent care clinics and so might have fewer defensive investigations. This finding might appear to be at odds with the 2010 report by the Health Council of Canada that concluded there is overuse of prescription drugs and diagnostic imaging by Canadian FPs.1 However, a question not addressed in the Health Council of Canada report is whether care provided by FPs results in more or less overall use of health care resources than care provided in other settings. There are serious imbalances in the physician supply in Canada, with shortages in rural areas in particular.15,16 The resulting barriers to care might result in less preventive care, such as childhood immunizations, where fewer physicians are practising.17 In addition to the direct effects on patients from a lack of access to care, a shortage of primary care physicians in a given area might also lead to increased laboratory test use.
Finally, it should be noted that a reduction in laboratory test volumes does not necessarily imply more appropriate testing. It is possible (but not likely) that patients visiting FPs are receiving an inadequate number of laboratory tests. This last point will require more detailed examination of individual test appropriateness according to physician and patient demographic groups.
Conclusion
Although population size was the strongest predictor of overall laboratory test use, increasing primary care physician supply might actually lead to decreased test use.
EDITOR’S KEY POINTS
Although population size was the strongest predictor of overall laboratory test use, increasing primary care physician supply might actually lead to decreased test use. A possible explanation for the association between laboratory test use and FP and GP supply is that patients with access to FPs might rely less on emergency departments and urgent care clinics and so might have fewer defensive investigations.
Although there was a statistically significant association between chemistry test volume and FP and GP supply (P = .045), the association between hematology test volume and FP and GP supply was not significant (P = .119).
POINTS DE REPÈRE DU RÉDACTEUR
Même si la taille de la population était le meilleur indice de l’utilisation globale des examens de laboratoire, la disponibilité d’un plus grand nombre de médecins de première ligne pourrait même entraîner une diminution des demandes d’examens. Cette association entre la disponibilité de MF et d’OP l’utilisation des examens de laboratoire pourrait s’expliquer par le fait que les patients qui ont accès à un MF comptent moins sur les départements d’urgence et sur les cliniques de soins d’urgence, si bien qu’ils auraient moins d’investigation de type défensif.
Même s’il existe une association statistiquement significative entre le volume des examens chimiques et la disponibilité de MF et d’OP (P = ,045), l’association entre le nombre d’examens hématologiques et la disponibilité de MF et d’OP n’était pas significative (P = ,119).
Footnotes
This article has been peer reviewed.
Cet article a fait l’objet d’une révision par des pairs.
Competing interests
None declared
References
- 1.Health Council of Canada [website] Decisions, decisions: family doctors as gatekeepers to prescription drugs and diagnostic imaging in Canada. Toronto, ON: Health Council of Canada; 2010. Available from: www.healthcouncilcanada.ca/tree/2.33-DecisionsHSU_Sept2010.pdf. Accessed 2010 Nov 29. [Google Scholar]
- 2.Wennberg JE, Fisher ES, Skinner JS. Geography and the debate over Medicare reform. Health Aff (Millwood) 2002. pp. W96–114. Available from: http://content.healthaffairs.org/content/early/2002/02/13/hlthaff.w2.96.full.pdf+html. Accessed 2010 Nov 29. [DOI] [PubMed]
- 3.Ferrier BM, Woodward CA, Cohen M, Goldsmith CH. Laboratory tests: which physicians order more? How women’s practices differ from men’s. Can Fam Physician. 1991;37:349–52. [PMC free article] [PubMed] [Google Scholar]
- 4.Vinker S, Kvint I, Erez R, Elhayany A, Kahan E. Effect of the characteristics of family physicians on their utilisation of laboratory tests. Br J Gen Pract. 2007;57(538):377–82. [PMC free article] [PubMed] [Google Scholar]
- 5.Eisenberg JM, Nicklin D. Use of diagnostic services by physicians in community practice. Med Care. 1981;19(3):297–309. doi: 10.1097/00005650-198103000-00005. [DOI] [PubMed] [Google Scholar]
- 6.Dine CJ, Bellini LM, Iwashyna TJ. Team effect on variation in laboratory utilization on subspecialty services. Acad Med. 2009;84(10 Suppl):S63–6. doi: 10.1097/ACM.0b013e3181b37031. [DOI] [PubMed] [Google Scholar]
- 7.Lewandrowski K. Managing utilization of new diagnostic tests. Clin Leadersh Manag Rev. 2003;17(6):318–24. [PubMed] [Google Scholar]
- 8.Bossuyt X, Verweire K, Blanckaert N. Laboratory medicine: challenges and opportunities. Clin Chem. 2007;53(10):1730–3. doi: 10.1373/clinchem.2007.093989. [DOI] [PubMed] [Google Scholar]
- 9.Kravet SJ, Shore AD, Miller R, Green GB, Kolodner K, Wright SM. Health care utilization and the proportion of primary care physicians. Am J Med. 2008;121(2):142–8. doi: 10.1016/j.amjmed.2007.10.021. [DOI] [PubMed] [Google Scholar]
- 10.McMurray J. Severe family doctor shortage addressed. Calgary Sun. 2010 Jan 14. Available from: www.calgarysun.com/news/alberta/2010/01/14/12467241.html. Accessed 2011 Apr 12. [Google Scholar]
- 11.College of Physicians and Surgeons of Alberta . Physician resources by AHS zone, 2004–2007. Edmonton, AB: Alberta College of Physicians and Surgeons; [Google Scholar]
- 12.College of Physicians and Surgeons of Alberta. [website] Registration statistics 2008–2012. Edmonton, AB: College of Physicians and Surgeons of Alberta; 2012. Available from: www.cpsa.ab.ca/Libraries/pro_registration/registration-statistics-2008---2012.pdf?sfvrsn=6. Accessed 2013 Apr 16. [Google Scholar]
- 13.College of Physicians and Surgeons of Alberta. [website] Changes in physician workforce 2008–2012. Edmonton, AB: College of Physicians and Surgeons of Alberta; 2012. Available from: www.cpsa.ab.ca/libraries/pro_registration/changes-in-physician-workforce-2008---2012.pdf?sfvrsn=2. Accessed 2013 Apr 16. [Google Scholar]
- 14.Calgary Economic Development [website] Demographics. Calgary, AB: Calgary Economic Development; 2011. Available from: www.calgaryeconomicdevelopment.com/research/demographicspopulation/overview. Accessed 2013 Apr 9. [Google Scholar]
- 15.Coyte PC, Catz M, Stricker M. Distribution of physicians in Ontario. Where are there too few or too many family physicians and general practitioners? Can Fam Physician. 1997;43:677–83. 733. [PMC free article] [PubMed] [Google Scholar]
- 16.Roos NP, Fransoo R, Carrière KC, Frohlich N, Bogdanovic B, Kirk P, et al. Needs-based planning: the case of Manitoba. CMAJ. 1997;157(9):1215–21. [PMC free article] [PubMed] [Google Scholar]
- 17.Romain S, Schillaci MA. Childhood immunization. Availability of primary care providers in Ontario. Can Fam Physician. 2009;55:1104–5. e1–4. Available from: www.cfp.ca/content/55/11/1104.full.pdf+html. Accessed 2013 Apr 9. [PMC free article] [PubMed] [Google Scholar]