Literature DB >> 23328956

Differences among health care settings in utilization and type of physical rehabilitation administered to patients receiving workers' compensation for musculoskeletal disorders.

Paul F Beattie1, Roger M Nelson, Kevin Basile.   

Abstract

INTRODUCTION: There is a paucity of data describing the relationship between practice setting and the delivery of physical rehabilitation to injured workers.
PURPOSE: To determine differences in the number of visits, the number of treatment units, and the proportion of billing for physical agents over an episode of care between different practice settings' providing physical rehabilitation to patients receiving workers' compensation for a musculoskeletal problem.
METHODS: A large administrative database was evaluated retrospectively. Practice settings were classified as physician office, corporate physical therapy clinic, occupational medicine clinic, hospital-based outpatient clinic, or private physical therapy practice.
RESULTS: 70,306 subjects (72.7 % male; mean age = 44.6, SD = 11.8 years) were included in this study. Corporate physical therapy clinics had the highest mean values for total visits (13.1, SD = 12.7) and for total units (66.8, SD = 85.5), and the lowest mean values for proportion of physical agents during the episode of care (.22, SD = .18). Occupational medicine clinics had the lowest mean values for total visits (6.8, SD = 7.9) and for total units (30.4, SD = 36.5), and the highest mean value for proportion of physical agents during the episode of care (.41, SD = .22). When controlling for ICD-9-CM codes, body-part treated, surgical status, and geographical region there were small changes in effect size; however, the significance and directionality of differences between practice settings were not changed.
CONCLUSIONS: There were significant differences in billing for physical rehabilitation services between practice settings for patients receiving workers' compensation. Corporate physical therapy clinics billed for more total visits and total units over an episode of care than did other practice settings; however they also billed for a lower proportion of physical agents indicating a greater use of those interventions supported by evidence-based guidelines (exercise and manual therapy) compared to other practice settings.

Entities:  

Mesh:

Year:  2013        PMID: 23328956      PMCID: PMC3734600          DOI: 10.1007/s10926-012-9412-y

Source DB:  PubMed          Journal:  J Occup Rehabil        ISSN: 1053-0487


Introduction

Musculoskeletal injuries are a primary reason for individuals to receive medical care covered by workers’ compensation [1-4]. Physical rehabilitation is a frequent component of the non-operative, and post-surgical management of many people with these conditions [5-7]. Although the efficacy and effectiveness of many physical rehabilitation interventions for musculoskeletal disorders have been described, there is considerable debate regarding the optimal clinical setting in which these interventions should be delivered to injured workers [8-17]. For example, in the United States, workers’ compensation can be billed for physical rehabilitation that is performed in a wide variety of settings including, but not limited to, a private physical therapy practice, a corporate physical therapy clinic, a hospital-based clinic, a physician’s office or an occupational medicine clinic. It has been frequently argued that variations in the business model of these clinical settings may impact on the overall cost-value of physical rehabilitation care provided [8, 10, 11, 14, 15]. Proponents of this argument submit that certain clinical settings are more likely to “over-utilize treatments” by having the patient receive an excessive number of visits and treatment units [11, 14]. In addition, it has been argued, but not demonstrated, that certain clinical settings over-rely upon time-effective but poorly supported treatments such as “physical agents,” i.e., electrotherapy, thermotherapy and hydrotherapy, rather than evidence-supported, but more time-intensive treatments such as exercise and manual therapy [14]. Despite the potentially important impact upon clinical practice guidelines and health-care policy, there is a paucity of published data addressing the role of the clinical setting in the utilization of physical rehabilitation and in the adherence to evidence-based guidelines for specific types of interventions used [18-20]. Clarification of the relationship of the clinical setting to the delivery of physical rehabilitation for injured workers would fill an important research gap and greatly assist in the development of conceptual models that would help to maximize the cost-value of care. The purpose of the current study is to determine differences in the number of visits, number of treatment units, and proportion of billing for physical agents over an episode of care between different practice settings’ providing physical rehabilitation to patients receiving workers’ compensation for a musculoskeletal problem.

Methods

Study Design and Database Construction

A retrospective, cross-sectional evaluation was performed using bill payment records de-identified to protect patient privacy. Subjects were included if they were at least 18 years of age, and had completed an episode of physical rehabilitation for a musculoskeletal problem covered by workers’ compensation. The dataset was generated from the bill-pay activity resulting from 11 nationally based insurance carriers that cover workers’ compensation, and represented claims from 49 of the 50 United States (Rhode Island has a different coding system than others and was not included) and the District of Columbia submitted between July 2009 and December 2011. All cases represented a single episode of care at only one facility for the present claim. Cases with more than one episode of care for their claim, or those who received care at more than one facility for their current claim were not included in the analysis. Billing was based upon dates of service; bundled billing was not used in this system.

Measures

Dependent Variables

Physical rehabilitation utilization was measured by the number of visits and the total number of units billed for during the episode of care. Physical rehabilitation treatments were identified using the Current Procedural Terminology (CPT) codes included within the 97000 series [21] (Table 1). The treatments were then classified into one of two categories. The first category was labeled “physical agents” and included treatments employing heat, light, sound or electricity. Common examples of physical agents include hot packs, laser, ultrasound and transcutaneous electrical stimulation (TENS) [22]. The second category was labeled “therapeutic procedures” and included treatments utilizing exercise or manual therapy (joint mobilization, manipulation or massage). The total units billed for physical agents during the episode of care were divided by the total treatment units billed for during the episode of care to provide a representation of the proportion of total treatment that was devoted to physical agents. The proportion of treatment not devoted to physical agents represented treatment with therapeutic procedures. For example, if the proportion of physical agents to total units was .30, this would indicate that 30 % of the units billed during the episode of care where for physical agents and the remaining 70 % were billed for therapeutic procedures.
Table 1

Physical therapy treatment procedures and their corresponding 97000 code classified as “physical agents” or “therapeutic procedures”

Physical agents97000 codeTherapeutic procedures97000 code
Hot and cold packs97010Therapeutic procedure97110
Electrical stimulation (unattended)97014Neuromuscular reeducation97112
Paraffin bath97018Aquatic therapy97113
Whirlpool97022Gait training97116
Diathermy97024Massage97124
Infrared97026Manual therapy97140
Ultraviolet97028Therapeutic procedure (group)97150
Electrical stimulation (attended)97032Therapeutic activity97530
Iontophoresis97033Development of cognitive skill97532
Contrast bath97034Sensory integrative techniques97533
Ultrasound97035Self care/home management97535
Mechanical traction97012Community/work reintegration97537
Laser (unlisted modality)97039
Physical therapy treatment procedures and their corresponding 97000 code classified as “physical agents” or “therapeutic procedures”

Independent Variables

Physical rehabilitation practice settings were classified based upon billing records. Each claim was classified into one of the following: physician office, corporate physical therapy clinic, occupational medicine clinic, hospital-based outpatient clinic, or private physical therapy practice. The primary diagnosis for which care was provided was identified by the International Classification of Disease, 9th revision [23], Clinical Modification (ICD-9-CM) code that was submitted by the provider during the initial evaluation by physical rehabilitation services. Because the large number of ICD-9-CM codes within the musculoskeletal domain resulted in a low number of responses for many categories we chose to collapse our classification to increase statistical power and interpretability. The collapsed classification included 5 categories that are similar to those described by Pendergast et al. [18] and included: arthropathy (arthritis or joint problems), dorsopathy (spine or back disease), sprains or strains, fractures or dislocations, and other. To provide additional information regarding the nature of subjects’ clinical condition we also classed subjects based upon the location of the body-part (s) for which care was provided. This classification included the upper extremity, lower extremity, back, neck, hand or multiple body-parts. Subjects were further classified based upon the presence or absence of a surgical procedure associated with their claim as well as the geographic region of the United States in which they received care.

Statistical Analysis

The initial dataset was evaluated and those cases with missing values or primary ICD-9-CM codes that were not within the musculoskeletal domain were deleted. Remaining data were summarized and the distributions of dependent variables were checked for normality. Logarithmic transformations were made to non-normal distributions. Differences in the distributions or frequencies of variables describing subject characteristics (age-groups, gender, chronicity (days from onset of symptoms to beginning of rehabilitation treatment), surgical treatment or not, history of a prior W/C claim, and ICD-9-CM classification) between practice settings were investigated using one-way analysis of variance (ANOVA) or Chi square analysis. Unadjusted differences in the distributions of each of the dependent measures (total visits, total units, and units of physical agents/total units per episode) between practice settings were assessed using one-way ANOVAs with Schieffe post hoc analysis. Univariate, general linear model two-way ANOVAs were then used to evaluate the between-group differences for practice settings for each of the dependent measures, i.e. total visits, total units, and proportion of total treatment units devoted to physical agents when adjusting for diagnosis, the body-part that was treated, surgical status and geographic region in which care was provided. The alpha level for all comparisons was set at .01. All analyses were performed using IBM SPSS version 19.0.

Results

Sample Characteristics

Claims from a total of 3,944 clinical facilities were included. The majority of clinical facilities were from private physical therapy practices (n = 2,860, 72.5 %), followed by corporate physical therapy clinics (n = 561, 14.2 %), physician offices (n = 263, 6.7 %), hospital-based outpatient clinics (n = 180, 4.6 %), and occupational medicine clinics (n = 80, 2.0 %). The initial data set consisted of 76,667 subjects. Of that, 6,361 claims were deleted due to missing values or primary ICD-9-CM codes that were not within the musculoskeletal domain. That elimination resulted in a dataset of 70,306 subjects used for analysis. Of the 49 U.S. states and the District of Columbia that were represented in this sample, 50.1 % were from California, Florida, New Jersey or Pennsylvania. Males comprised 72.7 % of the subjects (n = 51,332). The mean age of all subjects was 44.6 years (SD = 11.8). Males were slightly older than females (mean = 44.9, SD = 11.6 years vs. mean = 44.0, SD = 12.2 years; p < .01). The highest percentage of subjects received care from private physical therapy practices (53.7 % of the total sample), followed by corporate physical therapy clinics 30.7 %, physician offices 7.3 %, occupational medicine clinics 5.0 %, and hospital-based clinics 3.3 %. A total of 42.9 % of subjects (n = 30,143) began physical therapy more than 90 days after symptom onset. The most frequent body-part (s) treated was “multiple” (41.4 %, n = 29,083) followed by “back” (29.0 %, n = 20,418). 23.3 % of patients (n = 16,379) received physical therapy following surgical intervention, and 19.2 % (n = 13,528) had a history of a prior workers’ compensation claim (Table 2).
Table 2

Subject characteristics for each of the practice settings

CharacteristicPhysician officesCorporate physical therapy clinicsOccupational medicineHospital-basedPrivate physical therapy practicesTotal
GenderMale3,62115,7442,4491,738*27,616*51,168
Female1,478*5,8751,079*58710,11919,138
Age group (years)18–307253,104696*404*5,297*10,226
31–401,0224,551878*4738,072*14,996
41–501,5416,671*1,02967411,48821,403
51–601,300*5,410*685583*9,448*17,426
Over 60511*1,8832401913,430*6,255
Degree of chronicity (days)Acute 0–301,5087,191*2,405*966*10,27422,344
Sub-acute 31–901,1305,561*55557310,000*17,819
Chronic >902,461*8,86756878617,461*30,143
Body segment treatedUE673*2,754422314*5,023*9,186
LE578*2,234*430*2223,4566,920
Back1,643*6,1001,284*739*10,65220,418
Neck241*74058451,330*2,414
Hand188*712*289*95*1,0012,285
Multiple1,7769,079*1,04591016,273*29,083
Surgical interventionYes10215,269*1423869,561*16,379
No4,078*16,3503,386*1,939*28,17453,927
Prior W/C ClaimNo4,121*17,0842,7561,891*30,926*56,778
Yes9784,535*772434*6,80913,528

Cells with observed frequency exceeding expected frequency are highlighted by * (p < .01)

Subject characteristics for each of the practice settings Cells with observed frequency exceeding expected frequency are highlighted by * (p < .01) 38.25 % (n = 26,940) of subjects’ conditions were classified as sprains or strains. 31.3 % (n = 22,090) were classified as arthropathy, 21.1 % (n = 14,855) were classified as dorsopathy, and the remainder were classified as fractures or dislocations (9.0 % n = 6,322) or other (0.5 %, n = 360) (Table 3). Arthropathy was most frequently observed in those patients who received treatment to multiple body-parts, while dorsopathy most frequently observed in those patients receiving care to the back or neck. Sprains and strains were most frequently observed in the back, upper and lower extremities and hand, while fractures and dislocations were most frequently observed in the upper and lower extremities (Table 4).
Table 3

The frequency of diagnoses using the collapsed ICD-9-CM codes for each of the practice settings

DiagnosisPhysician officesCorporate physical therapy clinicsOccupational medicine clinicsHospital-based clinicsPrivate physical therapy practicesTotal
Arthropathy1,3406,941*56667712,464*21,988
Dorsopathy9264,712*3513818,430*14,800
Sprains and strains2,434*7,8182,479*1,086*13,03826,855
Fractures and dislocations3832,049*1061673,599*6,304
Other169926*14*204*359
Total21,6193,5282,32537,73570,306

Cells with observed frequency exceeding expected frequency are highlighted by * (p < .01)

Table 4

The diagnostic classification X the body-part that was treated for the entire sample

Diagnosis classificationUpper extremityLower extremityBackNeckHandMultipleTotal
Arthropathy0319420021,627*21,988
Dorsopathy008,217*2,414*04,16914,800
Sprains and strains4,947*4,833*12,159*02,216*2,70026,855
Fractures and dislocations4,194*1764*00632836,304
Other454006304*359
Total9,1866,92020,4182,4142,28529,08370,306

Cells with observed frequency exceeding expected frequency are highlighted by * (p < .01)

The frequency of diagnoses using the collapsed ICD-9-CM codes for each of the practice settings Cells with observed frequency exceeding expected frequency are highlighted by * (p < .01) The diagnostic classification X the body-part that was treated for the entire sample Cells with observed frequency exceeding expected frequency are highlighted by * (p < .01)

Unadjusted Differences in Billing Between Practice Settings

Number of Visits per Episode

Hospital-based clinics and physician offices were not significantly different in the number of visits per episode of care. All other comparisons were different at the p < .001 level. Corporate physical therapy clinics had a significantly higher mean number of visits during the episode of care (mean = 13.08, SD = 12.73) than any of the other clinical settings (Table 5). The 95 %-confidence intervals of the differences between corporate physical therapy clinics and other clinical settings ranged from 0.6 to 1.2 fewer visits for private physical therapy practices to 5.7–7.0 fewer visits for occupational medicine clinics.
Table 5

The mean (standard deviation) for primary dependent measures over the episode of care for each of the practice settings

Practice settingNumber of casesVisits per episodeSDUnits per episodeSDPhysical agents/total units for episodeSD
Physician offices5,09910.4711.2942.7357.17.34.24
Corporate physical therapy clinics21,61813.0812.7366.7985.54.22.18
Occupational medicine clinics3,5286.777.9330.4736.52.41.22
Hospital-based clinics2,32510.1711.1343.2767.64.31.24
Private physical therapy practices37,73512.1812.1251.3862.22.28.22
Total70,30512.0012.1354.1769.84.28.21
The mean (standard deviation) for primary dependent measures over the episode of care for each of the practice settings

Number of Treatment Units per Episode

Hospital-based clinics and physician offices were not significantly different in the number visits per episode of care. All other comparisons were different at the p < .001 level. Corporate physical therapy clinics had a significantly higher mean of units during the episode of care (mean = 66.79, SD = 85.54) than any of the other clinical settings (Table 5). The 95 %-confidence intervals of the differences between corporate physical therapy clinics and other clinical settings ranged from 13.7 to 17.3 fewer units for private physical therapy practices to 32.4–40.2 fewer units for occupational medicine clinics.

Proportion of Units of Physical Agents to Total Units for the Episode of Care

All comparisons were different at the p < .001 level. Occupational medicine clinics had the highest mean proportion of units of physical agents to total units (mean = .41, SD = .22) Corporate physical therapy clinics had the lowest mean proportion of physical agents (mean = .22, SD = .18) followed by private physical therapy practices (mean = .28, SD = .22). The 95 %-confidence intervals of the differences between occupational medicine practices and other clinical settings ranged from 0.04 to 0.07 less for physician offices to .17–.19 less for corporate physical therapy clinics (Table 5).

Differences in Billing Between Practice Setting Adjusted for ICD-9-CM Codes

Corporate physical therapy clinics had a significantly higher mean number of visits during the episode of care for subjects classified as arthropathy and sprains or strains compared to the other clinical settings (Table 6). The 95 %-confidence intervals of the differences between corporate clinics and other clinical settings for arthropathy ranged from 0.80 to 2.06 fewer visits for private physical therapy practices to 5.67–9.35 fewer visits for occupational medicine clinics. The 95 %-confidence intervals of the differences between corporate clinics and other clinical settings for sprains or strains ranged from 0.17 to 1.05 fewer visits for private physical therapy practices to 3.61–5.02 fewer visits for occupational medicine clinics.
Table 6

The mean (standard deviation) for the primary measures by practice setting and ICD-9-CM codes

Practice settingDiagnosisNumber of casesMean visits per episodeSDMean units per episodeSDRatio passive/total unitsSD
Physician officesArthropathy1,34012.7913.3252.9268.57.30.23
Dorsopathy9269.869.3638.3144.30.29.25
Sprains and strains2,4349.0010.2937.0953.32.40.24
Fractures and dislocations38313.3112.2254.0159.00.25.22
Other168.197.2932.0635.30.40.21
Total5,09910.4711.2942.7357.17.34.24
Corporate physical therapy clinicsArthropathy6,94115.7014.5982.2098.97.22.18
Dorsopathy4,71211.9011.1958.7566.87.21.18
Sprains and strains7,81710.5110.2551.7464.30.24.18
Fractures and dislocations2,04916.7215.0590.49123.93.17.15
Other9913.1811.8466.4969.69.26.22
Total21,61813.0812.7366.7985.54.22.18
Occupational medicineArthropathy5668.2011.4037.0450.03.43.20
Dorsopathy3517.418.9630.1734.33.42.19
Sprains and strains2,4796.196.0828.5531.28.40.22
Fractures and dislocations10610.8115.3243.2061.11.35.23
Other265.503.7122.4215.96.37.19
Total3,5286.777.9330.4736.52.40.22
Hospital-basedArthropathy67712.1612.1951.1764.22.26.23
Dorsopathy38110.9411.4946.9387.16.26.24
Sprains and strains1,0867.838.9832.8456.66.36.23
Fractures and dislocations16715.7114.4370.5682.97.19.19
Other148.718.9946.0057.80.24.32
Total2,32510.1711.1343.2767.64.30.24
Private physical therapy practicesArthropathy12,46414.3013.3560.7070.67.26.21
Dorsopathy8,43011.3411.2346.7655.25.28.23
Sprains and strains13,0389.9010.3741.6551.94.31.22
Fractures and dislocations3,59914.9913.5164.5271.92.22.20
Other20414.0313.9361.6575.77.31.22
Total37,73512.1812.1151.3762.22.28.22
Entire sampleArthropathy21,98814.4313.7466.1180.85.25.20
Dorsopathy14,80011.3311.0949.6659.63.26.22
Sprains and strains26,8549.5710.0342.6155.14.31.22
Fractures and dislocations6,30415.4014.0572.1292.60.21.19
Other35912.7112.6858.2270.22.30.22
Total70,30512.0012.1354.1769.84.27.21
The mean (standard deviation) for the primary measures by practice setting and ICD-9-CM codes There were no significant differences between corporate physical therapy clinics, hospital-based clinics and private physical therapy practices regarding the number of visits for patients classified as dorsopathy. Each of these settings had higher means than physician offices and occupational medicine clinics. Corporate physical therapy clinics and hospital-based clinics had higher means than the other settings relative to the number of visits for patients treated for fractures or dislocations, but were not different from one another. There were no significant differences in the number of visits among these settings groups for patients classified as other. Corporate physical therapy clinics had a significantly higher mean number of units during the episode of care for each of the ICD-9 classifications except fractures or dislocations, and other, when compared with the remaining clinical settings (Table 6). The 95 %-confidence intervals of the difference between corporate physical therapy clinics and other clinical settings for arthropathy ranged from 17.9 to 25.3 fewer units for private physical therapy practices to 34.4–55.9 fewer units for occupational medicine clinics. The 95 % confidence intervals of the difference between corporate physical therapy clinics and other clinical settings for doropathy ranged from 2.3 to 21.7 fewer units for hospital-based clinics to 18.6–38.8 fewer units for occupational medicine clinics, while the 95 %-confidence intervals of the difference between corporate physical therapy clinics and other clinical settings for sprains or strains ranged from 7.7 to 12.5 fewer units for private physical therapy clinics to 19.3–27.0 fewer units for occupational medicine clinics. Corporate physical therapy clinics and hospital-based clinics had higher means for the number of visits for patient conditions classified as fracture or dislocation but were not different from one another (Table 6). There were no significant differences in the number of units between these settings for patients classified as other.

Proportion of Units of Physical Agents to Total Units

Occupational medicine clinics and physician offices had a significantly higher proportion of units of physical agents/total units over the episode of care for subjects’ conditions classified as arthropathy, dorsopathy, or sprains or strains. Occupational medicine clinics had a significantly higher proportion of units of physical agents/total units over the episode of care for subjects classified as fractures or dislocations when compared to the other 4 clinical settings. The 95 %-confidence intervals of the differences between occupational medicine clinics and other clinical settings ranged from 0.07 to 0.18 less for physician offices to 0.13–0.24 less for corporate physical therapy clinics. Occupational medicine clinics and physician offices had a significantly higher proportion of units of physical agents/total units over the episode of care for subjects’ conditions classified as arthropathy, dorsopathy, or sprains strains. There were no significant differences in the proportion of units of physical agents/total units over the episode of care among groups for patients classified as other. Corporate physical therapy clinics and private physical therapy practices had a significantly lower proportion of units of physical agents/total units over the episode of care for subject conditions classified as arthropathy. Corporate physical therapy clinics had a significantly lower proportion of units of physical agents/total units over the episode of care for subject conditions classified as dorsopathy, sprains or strains, or fractures or dislocations compared to the other practice settings (Table 6).

Differences in Billing Between Practice Setting Adjusted for Body-part Treated Surgically

All comparisons were significant at the p < .001 level. Corporate physical therapy clinics had the highest mean number of visits during the episode of care for subjects classified as receiving rehabilitation associated with surgical treatment to the upper extremity, back, or multiple areas, compared to the other practice settings. Hospital-based out-patient physical therapy clinics had the highest mean number of visits during the episode of care for subjects classified as receiving rehabilitation associated with surgical treatment to the lower extremity, neck, or hand compared to the other practice settings (Table 7).
Table 7

The mean (standard deviation) for the primary measures by practice setting and body region that was treated surgically

Practice settingBody region (s) treatedNumber of casesMean visits per episodeSDMean units per episodeSDRatio passive/total unitsSD
Physician officesUpper extremity21918.1214.0275.6667.81.272.21
Lower extremity9019.1418.1390.93107.86.262.23
Back7712.129.7343.7046.53.307.22
Neck4815.8715.2159.9160.95.291.22
Hand1716.7112.9384.4777.76.455.18
Multiple57018.4116.5677.4686.79.262.20
Total1,02117.7915.7275.0082.09.272.21
Corporate physical therapy clinicsUpper extremity1,06620.9017.66113.15115.82.194.15
Lower extremity49720.9717.30123.05193.68.152.15
Back31617.1713.9888.6484.38.166.18
Neck17217.8316.2491.7994.97.181.15
Hand5519.2212.6687.3270.54.238.13
Multiple3,16321.8617.11117.46118.41.191.15
Total5,26921.1417.05114.23124.52.187.15
Occupational medicineUpper extremity2812.1812.4254.1759.23.381.16
Lower extremity1816.7815.0070.7264.44.401.20
Back613.174.5747.0014.54.438.07
Neck412.758.0151.5031.16.480.12
Hand89.757.8849.0045.81.281.28
Multiple7813.2410.2457.5251.96.351.20
Total14213.2711.0357.4453.04.367.20
Hospital-basedUpper extremity7316.1913.1565.6362.77.191.19
Lower extremity2722.6318.28106.59100.07.127.18
Back1914.3712.6254.6351.14.218.21
Neck923.0018.31127.77136.35.248.18
Hand824.0020.73103.6290.07.293.16
Multiple25018.0414.7278.4985.82.197.18
Total38618.0714.8878.5283.77.195.18
Private physical therapy practicesUpper extremity1,91218.4615.5080.9385.90.233.19
Lower extremity78918.9414.7780.1575.26.198.18
Back57016.1913.3666.7568.91.196.19
Neck26414.9213.5560.6066.25.232.21
Hand8417.3014.9274.1791.75.286.20
Multiple5,94219.3015.2883.4284.81.223.19
Total9,56118.7815.1580.9583.16.222.19
Entire sampleUpper extremity3,29819.1216.1290.4296.37.223.18
Lower extremity1,42119.7116.0196.22132.72.187.18
Back98816.1313.3171.6073.50.197.19
Neck49716.1514.7972.4779.83.222.20
Hand17217.8114.1579.5982.15.287.19
Multiple10,00319.9815.9793.5298.03.216.18
Total16,37919.4115.8491.0399.48.215.18
The mean (standard deviation) for the primary measures by practice setting and body region that was treated surgically

Number of Units per Episode

All comparisons were significant at the p < .001 level. Corporate physical therapy clinics had the highest mean number of units during the episode of care for subjects classified as receiving rehabilitation associated with surgical treatment to the upper extremity, lower extremity, back, or multiple areas compared to the other practice settings. Hospital-based practices had the highest mean number of units during the episode of care for subjects classified as receiving rehabilitation associated with surgical treatment to the neck, or hand compared to the other practice settings (Table 7). All comparisons were significant at the p < .001 level. Occupational medicine clinics and physician offices had a significantly higher proportion of units of physical agents/total units over the episode of care for subjects’ classified as receiving rehabilitation associated with surgical treatment to each of the body-parts, when compared to the other practice settings. Corporate physical therapy clinics and hospital-based out-patient physical therapy clinics had a significantly lower proportion of units of physical agents/total units over the episode of care for subjects’ classified as receiving rehabilitation associated with surgical treatment to multiple body parts, compared to the other practice settings. Corporate physical therapy clinics had a significantly lower proportion of units of physical agents/total units over the episode of care for all other body parts classified as receiving rehabilitation associated with surgical treatment, compared to the other practice settings (Table 7).

Differences in Billing Between Practice Setting Adjusted for Body-part Treated Non-Surgically

All comparisons were significant at the p < .001 level. Corporate physical therapy clinics had the highest mean number of visits during the episode of care for subjects classified as receiving rehabilitation associated with non-surgical treatment for each of the body-parts treated, compared to the other practice settings. Occupational medicine had the lowest mean number of visits for each of these conditions, compared to the other practice settings (Table 8).
Table 8

The mean (standard deviation) for the primary measures by practice setting and body region that was treated non-surgically

Practice settingBody region (s) treatedNumber of casesMean visits per episodeSDMean units per episodeSDRatio passive/total unitsSD
Physician officesUpper extremity10.3137.4149.10.380.232
Lower extremity4888.478.9033.6143.29.352.253
Back1,5668.298.9434.0048.34.385.257
Neck19310.229.7039.3941.53.338.270
Hand1718.1710.1634.1552.89.437.269
Multiple1,2068.688.2234.1740.53.344.251
Total4,0788.649.0034.6445.54.368.254
Corporate physical therapy clinicsUpper extremity1,68811.7110.9857.5764.59.229.179
Lower extremity1,73710.399.4052.2859.55.207.178
Back5,7849.819.1347.6154.67.232.189
Neck56811.839.9256.9064.28.226.195
Hand6579.008.0042.7149.24.311.177
Multiple5,91610.859.8353.7966.48.248.193
Total16,35010.499.6051.5060.98.238.189
Occupational medicineUpper extremity3947.168.6432.8439.82.405.219
Lower extremity4126.465.9827.9427.90.356.244
Back1,2786.116.3927.6530.17.409.220
Neck5411.1716.0139.5051.52.372.235
Hand2815.284.4025.6428.71.428.233
Multiple9676.859.1631.2441.95.431.215
Total3,3866.507.6629.3435.22.410.224
Hospital-basedUpper extremity24110.2911.5544.3461.87.316.224
Lower extremity1958.438.5934.1141.27.323.242
Back7208.049.7335.0882.36.335.243
Neck3610.819.6239.6636.20.300.281
Hand876.785.4829.3228.73.443.224
Multiple6608.778.8935.9440.70.317.251
Total1,9398.609.4736.2561.61.329.244
Private physical therapy practicesUpper extremity3,11110.7811.7746.5659.50.295.217
Lower extremity2,6679.678.8640.3846.19.281.223
Back10,0829.399.3538.7144.89.312.234
Neck1,06611.6412.3947.6460.73.303.260
Hand9178.298.6433.3939.32.361.240
Multiple10,33110.279.9442.6350.28.300.226
Total28,1749.949.9441.3449.40.304.230
Entire sampleUpper extremity5,88810.6811.2948.0059.71.291.214
Lower extremity5,4999.518.9142.3849.96.271.221
Back19,4309.169.1540.1249.66.301.229
Neck1,91711.5211.5349.1759.80.286.248
Hand2,1138.048.1135.1542.71.364.228
Multiple19,08010.129.7844.7555.10.294.223
Total53,9279.749.6842.9853.06.296.226
The mean (standard deviation) for the primary measures by practice setting and body region that was treated non-surgically All comparisons were significant at the p < .001 level. Corporate physical therapy clinics had the highest mean number of units during the episode of care for subjects classified as receiving rehabilitation associated with non-surgical treatment for each of body-parts treated, compared to the other practice settings. Occupational medicine had the lowest mean number of visits for each of these conditions, compared to the other practice settings (Table 8). All comparisons were significant at the p < .001 level. Occupational medicine clinics and physician offices had a significantly higher proportion of units of physical agents/total units over the episode of care for subjects’ classified as receiving rehabilitation associated with non-surgical treatment for the lower extremity, compared to the other practice settings. Occupational medicine clinics had a significantly higher proportion of units of physical agents/total units over the episode of care for subjects’ classified as receiving rehabilitation associated with non-surgical treatment for the upper extremity, back, neck and multiple sites, compared to the other practice settings. Hospital-based out-patient physical therapy clinics had significantly higher proportion of units of physical agents/total units over the episode of care for subjects’ classified as receiving rehabilitation associated with non-surgical treatment of the hand, compared to the other practice settings. Corporate physical therapy clinics had a significantly lower proportion of units of physical agents/total units over the episode of care for subject conditions classified as receiving rehabilitation associated with non-surgical treatment for each of body-parts treated receiving care, compared to the other practice settings (Table 8).

Differences in Billing Between Practice Setting Based Upon Geographic Location

Patients receiving care in facilities in the mid-Atlantic and East North Central regions of the United States received significantly more visits (95 % CI = 1.67 to 7.40, p < .001) and units (95 % CI = 7.6–46.2, p < .001) during the episode of care compared to other regions (Table 9). When data were adjusted for practice setting, diagnosis, body-part treated or surgical status the significance and directionality of differences were not changed.
Table 9

The mean (standard deviation) for the primary measures listed for practice setting and the geographic region where care was provided

Practice settingGeographic regionNumber of casesVisits per episodeSDUnits per episodeSDRatio passive/total unitsSD
Physician officesNew England39011.059.0737.6539.17.277.240
Middle Atlantic94515.1316.6565.9383.19.330.239
South Atlantic1,3469.899.0538.7442.99.242.228
East North Central4713.479.8468.0267.53.276.250
East South Central2038.968.3532.0633.64.235.205
West North Central209.758.7745.6551.15.259.230
West South Central1409.739.7844.6848.61.139.227
Mountain3113.2911.4060.9065.42.375.282
Pacific1,9778.639.5535.3952.23.475.214
Total5,09910.4711.2942.7357.17.349.249
Corporate physical therapy clinicsNew England1,03312.3711.4857.0369.06.312.193
Middle Atlantic6,46915.3915.5385.86114.56.243.185
South Atlantic6,87911.349.9153.6659.42.184.167
East North Central2,42616.2114.6688.2291.27.204.163
East South Central51310.649.6852.2062.85.204.179
West North Central1,49911.3010.9850.8161.89.223.202
West South Central64210.8110.0756.2662.67.182.184
Mountain82013.6911.7373.5772.61.268.166
Pacific1,3379.388.2935.1143.91.320.186
Total21,61813.0812.7366.7985.54.225.183
Occupational medicineNew England2375.192.9720.4513.03.590.150
Middle Atlantic34712.8318.7652.4473.58.478.161
South Atlantic1,3846.245.8526.4027.53.254.211
East North Central23.001.4115.5010.60.744.007
East South Central1216.554.6843.3236.53.484.208
West North Central288.576.6528.5326.63.268.243
West South Central286.464.5536.5035.18.188.192
Mountain259.168.6934.2032.77.264.276
Pacific1,3565.994.6929.4730.56.518.143
Total3,5286.777.9330.4736.52.408.223
Hospital-basedNew England4856.906.4431.0930.41.466.205
Middle Atlantic54513.7314.2161.5690.30.238.220
South Atlantic50410.8911.3744.2163.31.281.234
East North Central1159.798.3930.9330.14.233.254
East South Central3969.498.9741.1547.75.230.220
West North Central547.506.7824.9830.60.287.310
West South Central398.056.6433.2026.96.203.223
Mountain387.846.2327.0023.01.325.237
Pacific1499.6415.1841.41125.37.419.180
Total2,32510.1711.1343.2767.64.307.241
Private physical therapy practicesNew England1,91813.9413.5859.5380.45.318.236
Middle Atlantic7,79815.7416.7669.1183.57.334.230
South Atlantic12,64911.5910.2148.2250.86.224.208
East North Central1,98613.0812.0057.2467.79.253.220
East South Central2,25310.429.5645.4851.65.263.224
West North Central1,55812.3711.9551.1257.99.262.220
West South Central1,24910.9910.1349.6455.42.228.219
Mountain2,51511.4310.7955.4964.10.316.205
Pacific5,8099.037.8930.6833.60.354.214
Total37,73512.1812.1151.3762.22.283.224
Total sampleNew England4,06311.9111.9051.1268.52.346.232
Middle Atlantic16,10415.4316.2475.0497.66.297.218
South Atlantic22,76211.079.9647.8952.84.216.200
East North Central4,57614.6613.5073.1082.19.227.195
East South Central3,48610.139.3545.1251.90.257.221
West North Central3,15911.7311.4050.2959.40.244.215
West South Central2,09810.7310.0050.8556.87.207.210
Mountain3,42911.9311.0259.3966.32.305.199
Pacific10,6288.628.1732.1141.36.394.214
Total70,30512.0012.1354.1769.84.277.219

States included in each region are as follows: New England (CT, ME, MA, NH), Middle Atlantic (NJ, NY, PA), East North Central (IL, IN, MI, OH, WI), West North Central (IA, KS, MN, MO, NE, ND, SD), South Atlantic (DE, DC, FL, GA, MD, NC, SC, VA, WV), East South Central (AL, KY, MS, TN), West South Central (AR, LA, OK, TX), Mountain (AZ, CO, ID, MT, NV, NM, UT, WY), Pacific (AL, CA, HA, OR, WA)

The mean (standard deviation) for the primary measures listed for practice setting and the geographic region where care was provided States included in each region are as follows: New England (CT, ME, MA, NH), Middle Atlantic (NJ, NY, PA), East North Central (IL, IN, MI, OH, WI), West North Central (IA, KS, MN, MO, NE, ND, SD), South Atlantic (DE, DC, FL, GA, MD, NC, SC, VA, WV), East South Central (AL, KY, MS, TN), West South Central (AR, LA, OK, TX), Mountain (AZ, CO, ID, MT, NV, NM, UT, WY), Pacific (AL, CA, HA, OR, WA) Patients receiving care in facilities in the Pacific and New England Regions received a higher proportion of physical agents to total units (95 % CI .02–.21) during their episode of care compared to all other geographic areas. Patients receiving care in facilities in the West South Central, South Atlantic and East regions received a lower proportion of physical agents to total units (95 % CI .08–.17) during the episode of care compared to all other geographic areas. The significance and directionality of differences was not changed when data were adjusted for practice setting, diagnosis, body-part treated or surgical status.

Discussion

Main Findings

Our goal was to determine if the utilization and type of physical rehabilitation care for injured workers differed based upon the setting in which the care was provided. In the present study, numerous significance differences were identified. Utilization of physical rehabilitation treatment was significantly different among settings regardless of ICD-9-CM classification, body-part treated, surgical or non-surgical intervention, and geographic area in which treatment was provided. Patients receiving care in corporate physical therapy clinics and private physical therapy practices consistently had more visits and overall units of treatment during their episode of care than did the other practice settings addressed in this study. The exact reasons for this observation are unknown. One possible explanation is that these facilities may have typically treated patients who required more care, i.e., those with more complex and prognostically unfavorable conditions than those seen in other settings. In our sample, corporate physical therapy clinics and private physical therapy practices treated higher than expected frequencies of patients who had surgical intervention, and would likely require substantial care, compared to other settings. However, these subjects only accounted for 24.1 % of the total number of subjects treated by corporate physical therapy clinics and 25.3 % of the total number of subjects treated by private physical therapy practices. There were no meaningful between-group changes in our findings after the analysis was adjusted for surgical intervention. The remainder of between-setting frequencies of potential predictor variables (Table 2) recorded at the inception of care did not reflect meaningful differences between corporate physical therapy clinics and private physical therapy practices compared to other settings. It is not known if other patient-specific characteristics such as job description and the presence of bio-behavioral factors or other co-morbidities, that were not addressed in this study could explain the between-setting differences in physical rehabilitation utilization. A second possible explanation for the higher number of visits and units utilized by corporate physical therapy clinics and private physical therapy practices is that more total treatment provides a more effective outcome than less overall treatment. This contention could be addressed by a comparison of outcome measures reflecting important status changes such as functional recovery and/or return to work. Unfortunately, these data were not available; therefore, no judgments may be made on the overall “value” of care between settings. The treatment emphasis was also significantly different between settings. Occupational medicine clinics and physician offices had higher proportions of physical agents to total units than did other settings. This finding remained consistent after the analyses were adjusted for body-part treated, surgical or non-surgical intervention and geographic area in which treatment was provided. The reason for this difference is unknown. Although the body of supporting evidence is limited, physical agents have been primarily advocated as a means to control pain in people with acute injuries [22]. The majority of patients seen in occupational medicine clinics (68.2 %) received care within 30 days of injury, which may explain the higher usage of physical agents in this setting. However, physician offices had a predominance of patients with more chronic conditions, i.e., greater than 90 days from injury to start of care (Table 2), and these settings had significantly higher proportions of physical agents to total units compared to corporate physical therapy clinics and private physical therapy practices. Another argument for the high usage of physical agents in occupational medicine clinics and physician offices is that these settings may use more non-physical therapist “care-extenders” to provide treatment than do corporate physical therapy clinics or physical therapy private practices [14]. We are unable to address the issue from our dataset. Further study is needed to determine the relationship between the specific person delivering care and the type of treatment delivered. Corporate physical therapy clinics and private physical therapy practices had significantly lower proportions of physical agents to total units compared to other settings, indicating a higher usage of therapeutic procedures that are supported by evidence-based treatment guidelines [24-34]. This finding is important because recent evidence has suggested that the early and sustained involvement of injured workers in the active process of their care, i.e., performing exercises and activities that encourage patients to move injured body-parts, may have both physiological and psychological benefits that exceed those provided by physical agents [35]. An unexpected finding was the large difference in treatment utilization between geographic regions regardless of practice setting, diagnosis, body-part treated or surgical intervention. The reason for this finding is unknown, but may reflect variations in local reimbursement policies.

Practical Implications and Further Research

The implications of our findings are that, regardless of ICD-9-CM code classification, body-part treated, and the presence of surgical or non-surgical intervention, there are likely to be significant differences in physical rehabilitation utilization and treatment emphasis for injured workers between practice settings. Patients treated in corporate physical therapy clinics and private physical therapy practices are likely to receive more care than those treated in occupational medicine clinics, physician offices or hospital-based outpatient clinics. Physical rehabilitation care provided in corporate physical therapy clinics and private physical therapy practices is likely to have the greatest emphasis on exercise- and manual therapy-based treatments, while care provided in occupational medicine clinics and physician offices will have a greater emphasis on the use of physical agents. These findings, although preliminary, suggest the need for stakeholders to further investigate the role of practice setting on overall cost-effectiveness of physical rehabilitation provided to injured workers [2–4, 19, 36–38].

Strengths and Limitations

This study examined a large dataset representing urban, suburban and rural physical rehabilitation delivery to injured workers throughout the United States. The analysis was adequately powered to detect between-setting differences; however, there was an imbalance in frequency of subjects from different clinical settings. The majority (84.4 %) of the subjects received care from private physical therapy practices and corporate physical therapy clinics. Although definitive data are missing, we believe that this distribution of care is likely to be similar to actual clinical practice. The age, gender mix and other demographic characteristics of our sample are similar to other studies assessing care for injured workers; however, our findings can only be generalized to the population of people receiving physical rehabilitation for a musculoskeletal problem associated with a workers’ compensation claim.

Conclusions

There were significant differences in billing for physical rehabilitation services between practice settings for patients receiving workers’ compensation. Corporate and private physical therapy practices billed for more total visits and total units over the episode of care than did other practice settings. Corporate physical therapy clinics billed for a higher proportion of those interventions supported by evidence-based guidelines (exercise and manual therapy) than did other practice settings. Occupational medicine clinics and physician offices billed for a higher proportion of those interventions generally not supported by evidence-based guidelines (physical agents) over the course of care than did other clinics.
  33 in total

1.  Increased costs and rates of use in the California workers' compensation system as a result of self-referral by physicians.

Authors:  A Swedlow; G Johnson; N Smithline; A Milstein
Journal:  N Engl J Med       Date:  1992-11-19       Impact factor: 91.245

Review 2.  Factors influencing the costs of workers' compensation.

Authors:  Edward J Bernacki
Journal:  Clin Occup Environ Med       Date:  2004-05

Review 3.  Workers' compensation costs: still a challenge.

Authors:  Judith Green-McKenzie
Journal:  Clin Occup Environ Med       Date:  2004-05

Review 4.  Workers' compensation reform.

Authors:  Douglas C D'Andrea; John D Meyer
Journal:  Clin Occup Environ Med       Date:  2004-05

5.  Physician ownership of ancillary services: indirect demand inducement or quality assurance?

Authors:  J M Mitchell; T R Sass
Journal:  J Health Econ       Date:  1995-08       Impact factor: 3.883

6.  Proposed practice guidelines for nonoperative anterior cruciate ligament rehabilitation of physically active individuals.

Authors:  G K Fitzgerald; M J Axe; L Snyder-Mackler
Journal:  J Orthop Sports Phys Ther       Date:  2000-04       Impact factor: 4.751

7.  Low back pain.

Authors:  Anthony Delitto; Steven Z George; Linda Van Dillen; Julie M Whitman; Gwendolyn Sowa; Paul Shekelle; Thomas R Denninger; Joseph J Godges
Journal:  J Orthop Sports Phys Ther       Date:  2012-03-30       Impact factor: 4.751

8.  A comparison of hospital-based and private outpatient physical therapy practices.

Authors:  A M Jette; K D Davis
Journal:  Phys Ther       Date:  1991-05

9.  Physician ownership of physical therapy services. Effects on charges, utilization, profits, and service characteristics.

Authors:  J M Mitchell; E Scott
Journal:  JAMA       Date:  1992-10-21       Impact factor: 56.272

Review 10.  Efficacy of spinal manipulation and mobilization for low back pain and neck pain: a systematic review and best evidence synthesis.

Authors:  Gert Bronfort; Mitchell Haas; Roni L Evans; Lex M Bouter
Journal:  Spine J       Date:  2004 May-Jun       Impact factor: 4.166

View more
  4 in total

1.  The evolving role of physical therapists in the long-term management of chronic low back pain: longitudinal care using assisted self-management strategies.

Authors:  Paul F Beattie; Sheri P Silfies; Max Jordon
Journal:  Braz J Phys Ther       Date:  2016-06-30       Impact factor: 3.377

2.  Development of evidence-based practice in occupational health services in Sweden: a 3-year follow-up of attitudes, barriers and facilitators.

Authors:  Elisabeth Björk Brämberg; Teresia Nyman; Lydia Kwak; Akbar Alipour; Gunnar Bergström; Liselotte Schäfer Elinder; Ulric Hermansson; Irene Jensen
Journal:  Int Arch Occup Environ Health       Date:  2017-02-15       Impact factor: 3.015

3.  Profiling lower extremity injuries sustained in a state police population: a retrospective cohort study.

Authors:  Kate Lyons; Mick Stierli; Ben Hinton; Rodney Pope; Robin Orr
Journal:  BMC Musculoskelet Disord       Date:  2021-01-26       Impact factor: 2.362

4.  Health effects of direct triaging to physiotherapists in primary care for patients with musculoskeletal disorders: a pragmatic randomized controlled trial.

Authors:  Lena Bornhöft; Maria Eh Larsson; Lena Nordeman; Robert Eggertsen; Jörgen Thorn
Journal:  Ther Adv Musculoskelet Dis       Date:  2019-02-15       Impact factor: 5.346

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.