Open Access

Physicians’ engagement in dual practices and the effects on labor supply in public hospitals: results from a register-based study

BMC Health Services ResearchBMC series ¿ open, inclusive and trusted201414:299

DOI: 10.1186/1472-6963-14-299

Received: 22 October 2013

Accepted: 27 June 2014

Published: 10 July 2014

Abstract

Background

Physician dual practice, a combination of public and private practice, has attracted attention due to fear of reduced work supply and a lack of key personnel in the public system, increase in low priority treatments, and conflicts of interest for physicians who may be competing for their own patients when working for private suppliers. In this article, we analyze both choice of dual practice among hospital physicians and the dual practices’ effect on work supply in public hospitals.

Methods

The sample consisted of 12,399 Norwegian hospital physicians working in public hospitals between 2001 and 2009. We linked hospital registry data on salaries and hospital working hours with data from national income and other registries covering non-hospital income, including income from dual work, cohabiting status, childbirths and socioeconomic characteristics. Our dataset also included hospital variables describing i.e. workload. We estimated odds ratio for choosing dual practice and the effects of dual practice on public working hours using different versions of mixed models.

Results

The percentage of physicians engaged in dual practice fell from 35.1% for men and 17.6% for women in 2001 to 25.0% and 14.2%, respectively, in 2009. For both genders, financial debt and interest payments were positively correlated and having a newborn baby was negatively correlated with engaging in dual practice. Larger family size and being cohabitating increased the odds ratio of dual practice among men but reduced it for women. The most significant internal hospital factor for choosing dual practice was high wages for extended working hours, which significantly reduced the odds ratio for dual practice. The total working hours in public hospitals were similar for both those who did and did not engage in dual practice; however, dual practice reduced public working hours in some specialties.

Conclusion

Economic factors followed by family variables are significant elements influencing dual practice. Although our findings indicate that engagement in dual practice by public hospital physicians in a well-regulated market may increase the total labor supply, this may vary significantly between medical specialties.

Keywords

Physician dual practice, Labor supply, Public hospital Gender differences, Norway

Background

In health care systems that include both public and private providers, there may be competition for the recruitment of health care workers. Physicians who engage in ‘dual practice’ by working for both public and private care providers have attracted particular attention. Potential challenges described by the literature include reduced work supply and a lack of key personnel in the public system, an increase in low priority treatments, and conflicts of interest for physicians who may be competing for their own patients when working for private suppliers [16]. One theoretical model has predicted that reduced total health care delivery will result from physician dual practice [6]. Such hypotheses need to be empirically tested.

Physician dual practice is a term used to cover several differing aspects: physicians who combine work in the public system with work for private health care providers, education, research, management, or other economic activities not associated with health. In this paper, physician dual practice refers to physicians employed in public hospitals who also work in other types of health services, including ambulant emergency care where they substitute for private GPs (moonlighting), private not-for-profit hospitals or private for-profit hospitals and other providers.

Several reasons for dual practice have been suggested: a wide gap between physicians’ income expectations and wages in the public systems, long waiting lists and unsatisfactory working conditions in the public system, and other factors reflecting individual choices [13, 716]. The reasons for dual practice may be quite diverse at the individual level, and an analysis of dual practice should recognize that individual employees might have quite different expectations and personal career goals.

Many of the empirical studies on this issue have been performed in countries with rather low public health salaries, and these studies may not reflect the situation in more developed countries where public salaries may be more competitive [1620]. One of these studies [16] provided some support for the use of “rewarding” policies to retain physicians in the public sectors of more developed countries, while “limiting” policies are recommended for developing countries.

The Norwegian health system is mainly funded by general taxation. This also holds for the private sector, which consists of nonprofit hospitals with a well-defined catchment area, private for-profit hospitals specializing in day surgery, and specialists on contracts with regional health authorities. As a rule, GPs are organized as private practitioners on contract to municipalities. Private for-profit institutions also treat patients who pay out of pocket for their own care or are covered by voluntary health insurance.

There are no regulations in place that prohibit public employees from combining positions in public and private health care. In 1996, to possibly tackle a brain drain from public to private hospitals, a targeted increase in salaries for extended working hours and overtime work resulted in a substantial salary increase for physicians working in public hospitals. A study of that event indicated that the salary increase of 11% increased the physician labor supply to public hospitals and reduced physician dual practice [7]. Today, health care salaries in Norway compare favorably with salaries in the rest of the labor market, and per capita health care expenditure is among the highest in Europe [21].

A major reform in the Norwegian hospital sector was introduced in 2002, when all public hospitals in Norway were transferred from a system of county ownership to central government ownership [22]. Hospitals were restructured as health enterprises comprising 1–8 hospital units and organized within five regional health authorities (RHAs). In 2005, the number of RHAs was reduced from five to four. In the study period, the Norwegian hospital sector consisted of five regional university hospital enterprises (specialized hospitals), twelve central hospital enterprises (two with university functions), and eight local hospital enterprises. Regional hospitals, and to a certain degree central hospitals, use a substantial amount of their resources for research, whereas local hospitals mainly focus on patient care. Theoretically, this may influence both the workload and attractiveness of the institution. The aim of the 2002 hospital reform was to increase hospital efficiency by providing greater autonomy with respect to planning, budgeting, and workforce policies, and to ensure a more precise definition of their economic responsibilities. The reform occurred during a period in which private providers were building up their capacity in response to increasing waiting lists and waiting times. In 2002, the political signal was that RHAs should increase their use of private suppliers of specialist health care services to reduce increasing waiting lists. However, in 2005, a center-left coalition government announced its aim to reduce the use of private health care service providers. This resulted in a decrease in contracts between the RHAs’ and private suppliers.

Aim and objectives

The aims of the current study are twofold. We first examine those factors that affect a physician’s decision to engage in dual practice. Second, we analyze how the engagement in dual practice affects the number of weekly working hours in public hospitals. We implement the analysis using a general model of physician labor supply where socioeconomic factors such as income and family structure and hospital specific factors such as physicians’ workload are allowed to affect dual practice and total working hours in public hospitals.

Methods

Study group

All 18,888 physicians who held a position in Norwegian public hospitals between 2001 and 2009 were considered for the study. We included physicians that had worked at least two years in public hospitals following graduation. To work as an independent physician in the private sector (and thus engage in dual practice), it is mandatory to be fully licensed as doctor, and this requires 18 months of intern service. Because of a lack of socioeconomic data, we excluded physicians who did not have a Norwegian social security number (usually short-term workers and those with incomplete data in public databases of social factors). Physicians above 67 years (the pension age) are excluded from the analyses. Using these criteria, the number of physicians in our sample ranged from 6,820 physicians in 2001 to 9,808 in 2009. In total, our sample consisted of 12,399 individual physicians.

Data sources

We linked data from three different registers. Data of salaries and hospital working hours for each physician in each year (2001–2009) were obtained from The Employers Organization Specter, which annually reports such data to Statistics Norway. Data regarding nonhospital income and individual characteristics as cohabiting status and number of children were obtained for each physician in each year from Statistics Norway. To combine these two data sets we transferred the individual physician data from the Specter database to Statistics Norway, which linked the data and returned them as anonymous code.

Activity data for both the public hospitals and private providers consist of the total number of annual DRG activity for hospital stays, day treatments, and outpatient treatments. We recorded mean waiting times within each hospital region as variables reflecting the excess health care demand.

According to Norwegian regulations, the study did not require approval by The Norwegian Data Protection Authority or The Regional Committees for Medical and Health Research Ethics, but the study was subject to notification as required under the Norwegian Personal Data Act. Notification was submitted to the Norwegian Social Science Data Services (NSD) on 5 May 2008 (project number 19192).

Variable definitions

We defined the two dependent variables as follows:

  • Dual practice: In Norway, all income from all sources is registered annually for each individual. Nonhospital income is classified by Statistics Norway into the following categories: finance, teaching, moonlighting in primary care, salary from private health care, consulting/administrative work outside public hospitals, and salary from other nonhospital public service. Dual practice was described by a dummy variable taking the value of 1 if the physician received income as an individual person or as a private entrepreneur from moonlighting, private not-for-profit or private for-profit health care providers, and the value of 0 for all others.

  • Total weekly working hours: the wage system for hospital physicians defines the standard basic weekly working hours to be 35.5–40.0 hours, which are fairly constant over time. In addition, doctors may voluntarily work extended hours each week on a regular basis (negotiated individually) and typically varying from 0 to 10 hours per week. Although these hours are usually stable over time, we recorded this variable each year for each individual physician. These two components make up the total planned working hours per week for each physician. Total weekly working hours also include casual overtime work, which may have monthly variations. Total weekly working hours describe the average total labor supply each week across the year.

The salary for extended working hours is based on national regulations and is calculated as 0.08% of the individual’s total regular annual salary. The hourly wage is related to position, experience, and education (e.g., PhD), and amounts to approximately twice the basic hourly wage. Individual attributes are described by the following variables; Age, Gender (men = 0, women = 1), being cohabitating (single, including divorced and widowed = 0, married, including formal partnerships according to Norwegian law = 1), Children < 18 years (number of children under 18 years) and a dummy variable, ChildLastYear, indicating whether the individual had a child born (no child = 0, child born = 1) the previous year. Based on earlier analyses of significant gender effects on labor supply [23], we also analyzed the effects of gender on dual practice and therefore included interaction terms between gender and Children < 18 years, ChildLastYear, and cohabiting status.

As indicated in the Background Section, previous reports have suggested that hospital characteristics may affect physicians’ decisions to engage in work in the private sector [7], and we therefore included hospital-specific variables. As an indicator of the workload (Work Load), we used the total number of diagnosis-related group (DRG) equivalents (the sum of DRG weights) per year from hospitalized patients and day treatment and outpatient visits divided by the total number of hospital beds to obtain the total DRG activity per hospital bed for each year. As a further indication of staffing, we calculated the number of FTE nurses and FTE physicians per hospital bed.

Individual-level economic data from Statistics Norway included total taxable income, total debt, total interest costs for loans, total income from savings, and income from nonhospital activity for each year. We calculated the net capital income (NetCapInc) as the sum of interest from savings and from total debt.

Analytical approach and statistics

Between group analyses were done by Wilcoxon two-sample test.

The odds ratio of engaging in dual practice was analyzed using Generalized Linear Mixed Models (GLMM) with a binary response distribution and a logit link function. We used fixed effects for hospital and specialty to control for differences between specialties in some of the specifications. The statistical set up is inspired by previous economic analyses of physicians’ labor supply including those of Sloan, Noether, Rizzo and Blumenthal, and Baltagi et al. [2427]. Our estimated models were derived from the life-cycle model and account for former income from work and capital by including lagged versions (values from previous year) of these variables. The regression equation of Dual practice (footprints for time are suppressed):
Dual practice = a + a 1 * Salary for extended working hours lag + a 2 * NetCapInc lag + a 3 * IndAtt + a 4 * Hosp + a 5 * Waiting time + u he + y + sp + e https://static-content.springer.com/image/art%3A10.1186%2F1472-6963-14-299/MediaObjects/12913_2013_Article_3412_Equa_HTML.gif

where NetCapInc is the sum of capital income and expenses, IndAtt refers to individual characteristics such as gender, age, and cohabitating status. Age is categorized as follows: Age group1 < 35 years, 35 < = age group 2 < 45, 45 < = age group 3 < 55, 55 < = age group 4 < 68. Age group 4 serves as reference category. Hosp refers to hospital characteristics as Workload, FTE physicians and Nurses per bed. We included dummies (fixed effects) that were specific to each health enterprise (uhe), year (y), and specialty (sp).

The regression equation for total weekly working hours:
Total Weekly Working Hours = b + b 1 * Salary for extended working hours lag + b 2 * NetCapInc lag + b 3 * IndAtt + b 4 * Hosp + DualPractice + u he + y + sp + e , https://static-content.springer.com/image/art%3A10.1186%2F1472-6963-14-299/MediaObjects/12913_2013_Article_3412_Equb_HTML.gif

where DualPractice describes whether the physician has dual practice or not (dual practice = 1, no dual practice = 0).

The fixed-effects analyses imply that we utilized the variation between individuals within each health enterprise, year, and specialty. We assumed all remaining errors to be white noise (e). Dummies for health enterprises will, for example, capture the effect of the hospital hierarchy. We analyzed the dataset as unbalanced.

We used SAS software version 12.4 (SAS Institute, Cary, NC).

Results

Dual practice

During the study period, twice as many men as women performed dual practice. There was a steady decline in the percentage who engaged in dual practice, from 35.1% of male physicians and 17.6% of female in 2001 to 25.0% and 14.2% in 2009, respectively (Figure 1).
https://static-content.springer.com/image/art%3A10.1186%2F1472-6963-14-299/MediaObjects/12913_2013_Article_3412_Fig1_HTML.jpg
Figure 1

Percentage of male and female physicians engaged in dual practice, 2001–2009.

The incomes from dual practice varied considerably between the specialties; incomes from dual practice are illustrated as a percentage of physicians’ total income in some of the specialties with the highest dual practice payments in Figure 2. Only physicians with income from dual practice are included. The figure illustrates that otolaryngology and ophthalmology stand out with especially high relative payments, being approximately twice the level of the other specialties. The incomes from dual practice for those engaging in such practices increases at the same time as the share of physicians in dual practice are reduced (Figure 1 and Figure 2). Further descriptive statistics are given in Table 1.
https://static-content.springer.com/image/art%3A10.1186%2F1472-6963-14-299/MediaObjects/12913_2013_Article_3412_Fig2_HTML.jpg
Figure 2

Earnings from dual practice as a percentage of physicians’ total annual income in selected specialties.

Table 1

Descriptive statistics for the study groups with and without dual practice

 

Without dual practice

With dual practice

P-val nondual versus dual

Variable

Median

Maximum

Minimum

Median

Maximum

Minimum

 

Age

43

77

24

45

74

24

 

Total debt

771 751

28 633 481

0

1 123 071

27 643 218

0

<0.01

Net capital income

-35 026

9 455 296

-7 042 827

-52 606

9 972 644

-3 912 604

<0.01

Percent females

44.6%

25.3%

<0.01

Percent of group who is cohabiting

76%

87%

<0.01

Number of children < 18 years (mean)

1

9

0

1

7

0

 

Child born last year (mean)

0.07

1

0

0.05

1

0

<0.01

Average of full time equivalent

100

120

20

100

100

20

 

Mean extended hours/week

5.6

74.9

0

5.6

70

0

 

Average overtime hours/week

2.2

36.0

0

2.0

31.52

0

 

Total working hours

44.2

96.58

0

44.1

90

0

 

Median age in age group 1

32

  

31

   

Median age in age group 2

39

  

40

   

Median age in age group 3

49

  

49

   

Median age in age group 3

59

  

59

   

DRG per hospital bed

109

186

54

108

186

29

 

FTE physicians per hospital bed

0.62

1.11

0.17

0.61

1.11

0.3

 

FTE nurses per hospital bed

1.9

4.4

2.0

1.9

4.4

2.0

 

Regional waiting time for patients

62

103

47

56

103

47

 

Odds ratio for choosing dual practice

Females (Gender) had a significantly lower odds ratio for choosing dual practice (p < 0.001) in all our analyses (Table 2). Having a child born last year reduced the odds ratio for both genders, although it was strongest for females. Being cohabiting and having a higher number of younger family members increased the odds ratio for men, but was negative for women. More debt and interest costs (negative values of net capital income) increased the odds ratio of choosing dual practice significantly for both genders. In the fixed effect analysis, senior consultants had a slightly higher odds ratio for dual practice than residents, and dual practice was highest in the oldest physician age group.
Table 2

Engagement in dual practice 2001-2009 (Odds Ratio with 95% Confidence Interval)

 

Model 1

Model 2

 

Odds ratio

Confidence interval

Odds ratio

Confidence interval

Salary for extended work hours (lag)

0.999

0.999 - 0.999

1.000

0.999 - 1.000

Net capital income (lag) ( 10 000 NOK)

0.963

0.961 - 0.966

0.964

0.961 - 0.967

Gender (female=1)

0.697

0.652 - 0.744

0.697

0.652 - 0.746

Cohabiting

1.074

1.024 - 1.128

1.112

1.058 - 1.168

Cohabiting by gender

0.710

0.653 - 0.772

0.681

0.626 - 0.741

Number of children<18

1.007

0.987 - 1.028

1.015

0.995 - 1.037

Number of children<18 by gender

0.883

0.853 - 0.915

0.879

0.848 - 0.911

ChildLastYear

0.877

0.797 - 0.965

0.878

0.796 - 0.968

ChildLastYear by gender

0.571

0.479 - 0.682

0.562

0.470 - 0.672

Age group 1

1.016

0.941 - 1.098

0.938

0.867 - 1.016

Age group 2

0.667

0.626 - 0.711

0.646

0.605 - 0.689

Age group 3

0.952

0.901 - 1.006

0.937

0.885 - 0.991

Work load

1.113

1.006 - 1.232

0.962

0.789 - 1.174

Physician group

0.991

0.937 - 1.048

1.081

1.019 -1.147

Intercept

0.343

0.291 - 0.404

0.073

0.055 - 0.095

Year (fixed effects)

Yes

Yes

Specialty (fixed effects)

No

Yes

Health enterprises (fixed effects)

No

Yes

Akaike [28] information criterion

75039.35

72885.15

Pearson’s Chi-Square

67842.09

67717.30

N

12399

12399

The most striking hospital variable that correlated to the choice of dual practice was the wage level for extended work in the public hospitals, which reduced the odds ratio significantly.

From 2005 to 2007, the mean waiting times increased by 10%–35% in the differing regions. However, the extent of dual practice fell in the same period and there were no correlation between waiting times and odds ratio for dual practice in the multivariate analysis. We experimented with several combinations of the hospital variables as well as forward stepwise analyses (‘smaller is better’). Staffing indicators (physicians and nurses per bed) and waiting lists did not correlate to the odds ratio. An apparent increasing effect on the odds ratio of DRG per hospital bed was eliminated when using fixed effect analysis (Table 2).

Working hours in public hospitals

Annual mean planned working hours, the mean number of overtime hours and hours on call (data not shown) in public hospitals were similar between groups with and without dual practice in the bivariate comparisons (Figure 3). Accordingly, total working hours per year were also similar. This was also confirmed in the regression analyses where engaging in dual practice did not reduce total working hours (Table 3).
https://static-content.springer.com/image/art%3A10.1186%2F1472-6963-14-299/MediaObjects/12913_2013_Article_3412_Fig3_HTML.jpg
Figure 3

Mean planned working hours (a) and mean overtime hours per week (b) among physicians with and without dual practice (2001–2009).

Table 3

Total weekly working hours in public hospitals

 

Model 1

Model 2

 

Estimate

Confidence interval

Estimate

Confidence interval

Salary for extended work hours (lag)

-0.002

-0.002 - -0.001

-0.001

-0.001 - 0.000

Net capital income (lag) (NOK 10 000)

-0.026

-0.036 - -0.015

-0.033

-0.043 - -0.023

Gender (female=1)

-1.133

-1.356 - -0.910

-0.885

-1.104 - -0.667

Cohabiting

-0.441

-0.618 - -0.265

-0.262

-0.435 - -0.090

Cohabiting by gender

-0.584

-0.853 - -0.315

-0.432

-0.694 - -0.170

Number of children <18

-0.254

-0.328 - -0.181

-0.263

-0.334 - -0.191

Number of children <18 by gender

-0.364

-0.473 - -0.255

-0.399

-0.505 - -0.292

ChildLastYear

0.688

0.342 - 1.035

0.784

0.447 - 1.121

ChildLastYear by gender

-1.710

-2.204 - -1.216

-2.077

-2.558 - -1.597

Age group 1

4.602

4.339 - 4.865

4.101

3.838 - 4.364

Age group 2

1.811

1.594 - 2.028

1.948

1.731 - 2.164

Age group 3

1.190

0.993 - 1.386

1.251

1.054 - 1.447

DRG per hospital bed

1.831

1.482 - 2.179

1.157

0.508 - 1.806

Dual practice

-0.159

-0.297 - -0.021

-0.126

-0.262 - 0.010

Physician group

-2.650

-2.833 - -2.467

-1.933

-2.117 - -1.749

Intercept

-2.650

-2.833 - -2.467

-1.933

-2.117 - -1.749

Year (fixed effects)

Yes

Yes

Specialty (fixed effects)

No

Yes

Health enterprises (fixed effects)

No

Yes

Akaike [28] information criterion

470679.5

466800.6

N

12399

12399

The wage coefficients were negative but close to zero, indicating that the general wage increases over time had no effects on the labor supply in the period analyzed. As already indicated, there were no general significant effects of dual practices and total weekly working hours in public hospitals. However, separate analyses for otolaryngology and ophthalmology, the two specialties with the highest levels of non-public income, revealed a stronger relationship between dual practice and working hours in public hospitals, with estimates in the range of 3–5 fewer hours a week in both specialties. There were no significant interaction effects between dual practice and gender (estimates not shown), indicating that dual practice affects the labor supply in public hospitals similarly in both genders.

Further effects are in line with former analyses [23]. Women worked fewer hours than men did. After controlling for other variables, the effect was approximately 0.88 hours per week. The effects of children diverged strongly between the genders. In general, a child born last year increased the working hours among male physicians and substantially reduced it among females.

Discussion

To our knowledge, this register-based study of 12,399 physicians in Norway is one of the largest to investigate physician engagement in dual practice in a fairly systematic setting including both genders. Furthermore, our study period of nine years seems to be one of the longest.

We found that approximately twice as many men as women participated in dual practice. Our study was conducted within a system that has not banned or regulated dual practice. Nevertheless, the proportion of physicians engaging in dual work declined by approximately 30% during the study period. The reason for this may be related to several factors. First, increasing hourly rate for extended working hours in hospitals reduced the odds ratio for engagement in dual practice significantly. This salary rate was instituted in 1996 specifically to increase physicians’ willingness to work extended hours to ensure a sufficient labor force in hospitals. Our findings may indicate that the effect of this action has been successful and is lasting over time. It supports the findings reported in other Norwegian studies [7, 29]. Furthermore, the general regulations reducing the hours of work of Norwegians in recent decades may also be of significance.

Our analyses indicated that dual workers overall provided a similar labor supply to public hospitals as their non-dual worker colleagues, with respect to the planned working hours, on call duties, and overtime work. Thus, although our results may seem to contradict the hypothesis that dual workers reduce their public labor supply and avoid engagement in variable work and overtime [6, 18], they are in accordance with previous British and Danish studies [9, 30]. In fact, in our study, physicians engaged in dual work seemed to provide more than their fair share of the physician labor supply, which has also been suggested in other reports [3, 9, 10, 20, 30].

However, in particular specialties such as otolaryngology and ophthalmology, we found significant higher dual work incomes than in other specialties, and in these fields, the dual workers definitely worked less in the hospitals than their non-dual working colleagues. This significant variation between differing specialties may be associated with several facts. Our main hypothesis, however, is that financing for private services in these two specialties has been particularly abundant. This was instituted long before our study period as a governmental response to persistently long waiting lists for these patient groups over the decades.

Individual attributes influencing choice of dual practice

Economic factors seem to be one of the most important motives for choosing to engage in dual practice, even in a well-salaried system as found in Norway. The dual practitioners had higher levels of debt and thus more negative net capital income than their non-dual practicing colleagues did, and this was the most important correlation after gender and children. Our finding that having a child in the last year significantly reduced dual practice for females is not surprising as childbirth, for obvious reasons, has a larger impact on the lives of women than men. Furthermore, the finding that having a larger family size has a greater negative impact on dual practice for women probably indicates that domestic duties are still largely considered to be the responsibility of women.Our observation of a considerable variation in the extent of dual practice that paralleled the changes in private services between 2001 and 2009 may indicate that dual practice may be influenced by health marked conditions (Figure 4). The finding of higher odds ratio among the consultant and senior physicians is as expected, as there are more specialists among those holding these positions. The significance of the slightly higher odds ratio in the age group above 55 years is unclear, but needs further investigation.
https://static-content.springer.com/image/art%3A10.1186%2F1472-6963-14-299/MediaObjects/12913_2013_Article_3412_Fig4_HTML.jpg
Figure 4

Sum of DRG activity at private hospitals (a), and mean earnings per physician from dual practice (b) (2001–2009. 1 NOK = $6.5 in 2009).

Previous reports have indicated that unfavorable hospital characteristics may contribute to physicians choosing dual practice [711]. Several of these studies focused on special medical fields. In our study, higher levels of physician or nurse staffing per hospital bed did not influence the odds ratio to choose dual practice. One interpretation may be that the effects of such hospital factors are weak determinants of dual practice in a system like the Norwegian, where public hospitals have fair conditions regarding equipment, technology and staffing. Furthermore, such factors may be less important than economic factors and motives in other health care systems. Our main conclusion is, however, that factors influencing dual practice, both individual and hospital factors, are rather complex and should be analyzed in an appropriate context and not separately.

Other aspects of dual practice

The literature is rather inconclusive regarding the differing aspects of dual practice, probably because of a lack of solid data. Negative implications have been proposed for general health care costs, the availability of health services, waiting lists, and the quality of public services [1, 2, 13, 19, 31, 32]. Several of these factors are challenged by our results. Except for two specific specialties, the dual practitioners in our study worked just as many hours as their colleagues in public hospitals. Furthermore, the incidence of dual practice fell in the first two years after the 2005 policy change, even though waiting times increased. Neither was it found that the substantial variation in the extent of dual practice in the period was associated with a corresponding variation in public working hours. Thus, we find little support for the theoretical model published in 2007 [6] that claimed a reduction in total health services due to dual practice.

Several reports have proposed that dual practice should be restricted and regulated. Such steps have been exercised in several countries, but bans in the form of exclusive public sector contracts have rarely been successful [2, 5, 17, 3337]. Intermediate steps have been taken, for example, in the UK and France, where public specialists are allowed to earn 10% (UK) or 30% (France) of their total income from private fees [17, 38]. However, a study from 2003 reported that despite such regulations, National Health Service consultants on average had a private income of 26% of their NHS income [5]. Except for otolaryngology and ophthalmology, which had average dual incomes of 35%–45% of the total income in our study, the other dual practitioners in our study had more moderate dual earnings of less than 20% of their total incomes (Figure 2).

There is a wide cross-national heterogeneity in the extent of dual practice [12]. Furthermore, there is a consensus in the literature that countries with lower public salaries may be more prone to experience dual practice than countries where salaries are competitive. Our results must be considered in the context of a well-resourced Norwegian public system. In our study, we observed that less than 30% of physicians engage in dual practice in Norway, which is lower than the rate found in most international studies. It is also lower than previously reported among Norwegian physicians [7]. This may be because in Norway, doctors’ public salaries are competitive. This may indicate that the effect of the salary adjustments made in 1996 has been preserved during follow-up negotiations for physician salaries, and that such mechanisms work.

In both the EU and US, a significant reduction in working hours should be expected over time with the implementation of the European Working Time Directive and the 2011 Accreditation Council for Graduate Medical Education duty hour standard, respectively [39, 40]. Whether this also will influence dual work remains to be seen.

Most previous reports have studied dual practice in health care systems that are quite different to the Norwegian system, which is a largely publicly financed system characterized by the strong regulation of patient rights and the labor rights of health care workers. For example, regulations concerning the hours of work of Norwegians have considerably reduced annual working hours in recent decades. Thus, our Norwegian results may refer to a framework that is somewhat advanced compared with most other health care systems with respect to lower working hours and widely available (and desirable) social benefits. Comparing dual practice across differing national systems is challenging. It may be argued that our results from Norway (which is a high-cost country with rather high salary levels as compared with most other European and Western countries) are influenced by a remuneration system for Norwegian hospital doctors that is too favorable to be relevant to other health care systems. However, the compensation received by Norwegian physicians is not too different from that in other countries when living costs and salaries of other workers are considered. Figure 5 illustrates that physician remuneration compared with average wages and nurses is no more favorable in Norway than in other systems [41].
https://static-content.springer.com/image/art%3A10.1186%2F1472-6963-14-299/MediaObjects/12913_2013_Article_3412_Fig5_HTML.jpg
Figure 5

(a) Physician specialist’s annual salary, ratio to average salary of population (2007 or latest year available), and (b) annual salary of specialist doctors and nurses (2008. USD $).

Limitations

Our register-based study did not include individual variables of motivation, work satisfaction, and career goals. Therefore, several factors that may influence physicians’ choices to engage in dual practice were not included in our study.

The criteria for including other income as dual practice may differ between studies. Whereas we captured all taxable income from non-public clinical work, this may vary between countries. We focused on dual medical practice and did not include income from nonmedical activities.

Analyzing hospital characteristics across multiple specialties means sacrificing specificity for breadth, and this applies to all our hospital variables. DRG equivalents are not an exact measure of patient-related workload because they include compensation for non-personnel routine operating costs attributable to patient care, medical and technical tools, routine nursing services, and so on. Furthermore, inpatient and outpatient DRG metrics must also be pooled with care because inpatient and outpatient activities consume quite different amounts of physician labor. In addition, some specialties, such as pathology and laboratory medicine, are involved in quite different ways than the specialties related to direct patient contact. Another issue is that DRG measures do not reflect research, education, and several other work duties. We cannot rule out that more specific characteristics of hospitals could have given different regression results. Nevertheless, DRG measures are the standard official measures of treatment activity in the annual governmental reports that assess productivity in Norwegian hospitals today.

We cannot ignore the fact that more detailed and specific measures of hospital staffing than we used for nurse and physician staffing could have given other correlates to the odds ratio of choosing dual practice, and such variables should probably be refined.

Conclusions

We conclude that dual practice seems to be strongly related to economic motives, even in a system with competitive salaries in the public system, and that it has a dynamic nature that is responsive to the financial incentives offered. The gender differences that have been previously described in other workforce-related perspectives also seem to be reflected in dual practice, with family and socioeconomic factors as strong determinants, even in a system with well-developed equity policies. We also conclude that although dual work does not seem to reduce working hours in the public system from an overall perspective, it may definitely influence the public workforce in specific fields of medicine. The most important corollary therefore seems to be that care should be taken when making general conclusions regarding dual practice based on studies of particular medical fields. And vice versa, conducting studies on a macro level may miss particular specialties of interest and concern. Our conclusion is that dual practice should be analyzed in a broad context and not from a narrow perspective. Furthermore, there is obviously large diversity between differing countries and health systems. As health care delivery in the future may face a substantial workforce shortfall, it may be argued that the sector cannot afford to lose any kind of labor supply, and in this respect, policymakers may have to pursue different objectives depending on the actual health care system. The heterogeneity of dual practice suggests that it should not be debated as a polarized problem between public and private health care, but should be evaluated from an analytical viewpoint and based on facts [22, 35, 36].

Declarations

Authors’ Affiliations

(1)
Sykehuspartner
(2)
Department of Health Management and Health Economics, University of Oslo

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