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Design of the SALT Osteoporosis Study: a randomised pragmatic trial, to study a primary care screening and treatment program for the prevention of fractures in women aged 65 years or older

  • P. J. M. Elders1Email author,
  • T. Merlijn1,
  • K. M. A. Swart1, 2,
  • W. van Hout1,
  • B. C. van der Zwaard1,
  • C. Niemeijer2,
  • M. W. Heymans3,
  • A. A. van der Heijden1,
  • F. Rutters3,
  • H. E. van der Horst1,
  • P. Lips4,
  • J. C. Netelenbos4 and
  • N. M. van Schoor3
BMC Musculoskeletal DisordersBMC series – open, inclusive and trusted201718:424

https://doi.org/10.1186/s12891-017-1783-y

Received: 6 April 2017

Accepted: 15 October 2017

Published: 27 October 2017

Abstract

Background

Several drugs have become available for the treatment of osteoporosis. However, screening and treatment of patients with a high fracture risk is currently not recommended in the Netherlands, because the effectiveness of bone sparing drugs has not been demonstrated in the general primary care population. Here we describe the design of the SALT Osteoporosis study, which aims to examine whether the screening and treatment of older, female patients in primary care can reduce fractures, in comparison to usual care.

Methods

A randomised pragmatic trial has been designed using a stepwise approach in general care practices in the Netherlands. Women aged ≥65 years, who are not prescribed bone sparing drugs or corticosteroids are eligible for the study. First, women with at least one clinical risk factor for fractures, as determined by questionnaires, are randomly assigned to the intervention or control group. Second, women in the intervention group having a high fracture risk according to our screening program, including an adapted fracture risk assessment (FRAX) tool, combined with dual-energy x-ray absorptiometry (DXA), and instant vertebral assessment (IVA), are offered a structured treatment program. The women in the control group receive care as usual and will undergo the same screening as the intervention group at the end of the trial. The follow-up duration will be three years and the primary outcome is time to first incident fracture and the total number of fractures.

Discussion

The results of the current study will be very important for underpinnings of the prevention strategy of the osteoporosis guidelines.

Trial registration

ID NTR2430. Registered 26 July 2010.

Keywords

OsteoporosisFracturesPrimary careRandomised pragmatic trialScreeningBisphosphonates

Background

Osteoporosis is a chronic and multifactorial disorder, which is characterized by low bone mass and micro-architectural deterioration of bone tissue, resulting in fractures after minimal or moderate trauma [1]. Fractures of the distal forearm, the vertebrae and the hip are the most serious consequences of osteoporosis [2, 3]. In the Netherlands, more than 27,000 distal forearm fractures, 6700 vertebral fractures, 17,000 hip fractures, and about 67,000 other fractures occur among persons aged >50 years every year, of which 32% can be attributed to osteoporosis [3]. Osteoporotic fractures are associated with increased morbidity and mortality for many years after the fracture, decreased quality of life and high costs for the society [3, 4].

Several drugs have become available, which have been shown to reduce the risk of fractures with 20-50% in controlled settings [58]. Optimal strategies to identify persons at high risk of osteoporotic fractures, and to prevent such fractures have been under discussion for a long time. The guidelines for treating osteoporosis vary strongly between different countries, and range from a conservative approach to almost complete screening of post-menopausal women aged >65 years with dual-energy x-ray absorptiometry (DXA) or even treatment of patients with fragility fractures without additional bone densitometry measurements [915]. The Dutch guidelines for general practitioners (GP’s) advocate a conservative approach and advise a stepwise approach which identifies patients with a high fracture risk, by using both clinical risk factors for fractures, which in case of a high risk score is followed by a DXA measurement, and the assessment of prevalent vertebral fractures (see Table 1) [11]. Subsequently, patients at risk with a T-score < −2.5 or with a prevalent vertebral fracture should be treated with bone sparing medication, such as bisphosphonates. The most important reason for this conservative approach is that only few patients will be treated unnecessarily. However, as a consequence, a large part of patients with an increased fracture risk will not be treated. A second reason for this conservative approach is the fact that the effectiveness of the treatment with bisphosphonates has mainly been shown in individuals with known low bone mineral density [58], and not in a general primary care population.
Table 1

Risk factors for fractures according to the Dutch guideline for general practitioners (GP) for primary osteoporosis

Risk factor

Risk score

Vertebral fracture

4

Recent fracture (<2 years) after the age of 50 years

4a

Age ≥ 70 years

1

Age ≥ 60 years

1

Non recent fracture after the age of 50 years

1

Additional non recent fracture after the age of 50 years at a separate occasion

1

Parental hip fracture

1

Body weight < 60 kg

1

Severe immobility or 1 fall or more in the last year

1

Bone densitometry and morphological assessment of vertebral fractures (unless a vertebral x-ray has already been performed) is indicated if the total risk score is ≥4 points. Subsequently bisphosphonate treatment for 5 years is advised if the bone mineral density (BMD) of either femoral neck or lumbar spine shows a T-score ≤ −2.5 or if a prevalent vertebral fracture (≥25% height reduction) is presenta

aIn October 2012, when the trial had already started, the Dutch guidelines for GP’s for primary osteoporosis were updated [11]. In the previous guidelines, the treatment threshold of BMD (femoral neck or spine) was a T- score < −2.5 for patients aged <70 years, or a Z-score ≤ −1 for patients aged ≥70 years

In the last decade, the need for more pragmatic designs of clinical trials has been recognized, and pragmatic designs have been emerging [16]. Pragmatic trials are designed to study the effectiveness of an intervention in routine clinical practice. They are characterized by a high heterogeneity, with respect to patients, treatments, and clinical settings, which results in a high external validity of the findings [16]. Because the effects of treatment with bisphosphonates have been demonstrated in controlled settings only, there is a need for more pragmatic studies in primary care in which patients with a high fracture risk are identified and the effect of the bone sparing treatment is examined. The objective of the current study is to describe the design of the SALT Osteoporosis Study aiming to examine the effect of screening and treatment of patients with a high fracture risk in primary care on fracture incidence in a pragmatic setting.

Methods/design

Trial design and participants

The SALT Osteoporosis Study is a randomised pragmatic trial, which is currently performed in the Netherlands and that uses a stepwise approach (Fig. 1). GP’s in the regions of Waterland, Amstelveen, Amsterdam, Haarlem and the Zaan district, in the province of Noord-Holland, are selected to collaborate in the trial. From the databases of the participating GP’s, all women aged ≥65 years are selected.
Fig. 1

Flow chart of the Salt Osteoporosis Study

The decision to include only women aged ≥65 years was based on our pilot study in 9 GP practices (see Fig. 2). In our pilot, women aged ≥50 years (n = 3824) were evaluated according to the Dutch conservative guideline. We observed that in women between the age of 50 and 65 years only 1% had an indication for prescription of bone sparing drugs in a primary care setting.
Fig. 2

Flow chart of the Pilot SALT Osteoporosis Study in 9 general practices in the Netherlands. The indication of bone densitometry (DXA) and instant vertebral assessment (IVA) was based on the previous Dutch guideline for GP’s for primary osteoporosis (see Table 1)

For the SALT Osteoporosis Study, women having terminal illness and women deemed unable to comply with the study protocol are excluded by the GP’s. All other women are invited to participate by their GP and all receive a general baseline questionnaire from the research team (see Table 2 for content). Based on this questionnaire, women using bone sparing drugs or corticosteroids are also excluded (see Table 3 for full exclusion criteria).
Table 2

Content of the questionnaires of the SALT Osteoporosis Study

Theme

Questionnaire

Fractures

Q1, Q2, Q3

Examination for osteoporosis

Q1, Q2, Q3

Hip fractures of close family

Q1, Q2, Q3

Falls in last 12 months

Q1, Q2, Q3

Fear of falling

Q1, Q2, Q3

Mobility and use of walking aid

Q1, Q2, Q3

Height and weight

Q1, Q2, Q3

Living situation

Q1, Q2, Q3

Education level

Q1

Ethnicity

Q1

Age of start menopause

Q1

Smoking and alcohol use

Q1, Q2, Q3

Use of dairy products

Q1, Q2, Q3

Use of vitamin D/ calcium/ multi-vitamin supplements

Q1, Q2, Q3

Medication use

Q1, Q2, Q3

Use of osteoporosis medication

Q1, Q2, Q3

Prednison use

Q1

Chronic diseases

Q1, Q2, Q3

Quality of life (EuroQoL-5D)

Q2, Q3

Consultation physician

Q2, Q3

Hospital admission

Q2, Q3

Dizziness

Q2

Incontinence

Q2

Memory complaints

Q2

Depression and anxiety (PHQ-4)

Q2

Attitude toward osteoporosis and perceived risks

Q2

Adherence and persistence to use osteoporosis medication (ADEOS-12)

Q2a

Side effects of osteoporosis medication

Q2a

Independence

Q3

Diabetes treatment

Q3b

Diabetes complications and hypoglycaemic attacks

Q3b

Sunlight exposure

QDc

Vitamin D via diet and supplements

QDc

Q1 baseline questionnaire, Q2 questionnaire after 18 months, Q3 questionnaire after 36 months, QD = vitamin D questionnaire. aThese items are questioned only to patients with an indication for treatment. bThese items are questioned only to patients with diabetes mellitus. cThis questionnaire has been send to a random sample of the first participants

Table 3

Exclusion criteria of the SALT Osteoporosis Study

Exclusion criteria

Age ≥ 91 yearsa

Actual use of bone sparing drugsb

Use of bone sparing drugs during the preceding 5 years

Terminal illness

Not being able to participate in the study or no consent

Weight > 135 kgc

Corticosteroid use of ≥7.5 mg prednison equivalent per day

aCalculation of FRAX (fracture risk assessment tool) is not possible for this age category

bBisphosphonates, strontiumranelate, estrogens, selective estrogen receptor modulators, parathyroid hormone analogues or denosumab. If new bone sparing drugs will become available during the trial, they were added to the exclusion list

cMaximum weight for dual-energy x-ray absorptiometry measurement

The next step beholds that we determine clinical risk factors for fractures that are reported in the questionnaire in all eligible women. The clinical risk factors are based on the fracture risk assessment tool (FRAX) guideline (Table 4) [1720]. One of the clinical risk factors used in the FRAX is not applied, i.e. long term untreated hyperthyroidism, as it is impossible to find these patients when using a questionnaire, and this condition being very rare in this patient group. The items alcohol use and smoking are left out as well in the selection of participants (they are not excluded from the final FRAX calculation), because their association with fracture risk is relatively weak [21, 22]. After the risk factors are determined, those women who have at least one clinical risk factor for fractures are assigned to the intervention or control group, using individual randomisation.
Table 4

Clinical risk factors for fractures used in the SALT Osteoporosis Study

Risk factorsa

Previous fracture >50 years of age

Parent with hip fracture

Low body weight (BMI <19 kg/m2)

Rheumatoid arthritis

Early menopause (<45 years of age)

Malabsorption syndrome

Chronic liver disease

Type I diabetes mellitus

Immobility (severe walking difficulties and/or use of walking aid)

BMI body mass index, COPD chronic obstructive pulmonary disease, FRAX fracture risk assessment tool

aRisk factors were derived from the FRAX. We excluded the following risk factors from the FRAX: long term untreated hyperthyroidism, alcohol use and smoking. Women with ≥1 clinical risk factors were randomly assigned to the intervention or control group

In the third step, the women in the intervention group are offered a screening program (as described below), to identify the women with a high fracture risk. Only these women with a high fracture risk are offered a structured treatment program (as described below). Women in the control group receive usual care. Both the control and intervention group are followed for a duration of at least 3 years, by sending follow-up questionnaires at 18 and 36 months (see Table 2 for content, and Table 5 for procedures).
Table 5

Procedures of data collection and entry in the SALT Osteoporosis Study

Data collection

 Sending of questionnaire by mail

 If no reply: repeated sending of questionnaire

 If no reply: sending of abbreviated questionnaire

 If no reply: follow-up calls by phone

Data entry

 Entry of the data in the database in duplo by different administrators

 If mismatch: checking of data by third person

 If missing data on important questions: follow-up calls by phone

 If reported rheumatoid arthritis or prednisone use (first questionnaire): verification at general practitioner

The trial is carried out at the VU University Medical Center, Amsterdam, in close collaboration with the Stichting ArtsenLaboratorium and Trombosedienst (SALT), a primary care diagnostic center. All participants provide written informed consent. The trial is approved by the Dutch Health Council (2009/05WBO), and an execution license is provided by the Dutch Ministry of Health, Wellbeing and Sports (PG/)GZ-2.978.265). The trial is registered in the Dutch Trial Register (www.trialregister.nl, NTR2430).

Screening program

The screening program to identify women with a high fracture risk consists of the FRAX combined with bone mineral density measures (BMD) assessed with DXA, and instant vertebral assessment (IVA), fall risk assessment, and clinical chemistry screening. Details on the measurements procedures are described below.

We have chosen this combined approach to increase the sensitivity to find high risk individuals. The FRAX is an often used tool to identify individuals at high fracture risk [1720]. The assessment of clinical risk factors in combination with BMD has been shown to be more accurate than BMD alone [23]. IVA has been added as a screening instrument, because it has been shown that elderly with a vertebral fracture have a 4-fold increased fracture risk [24, 25]. In addition, fall risk assessment is not part of the FRAX, but fall-related risk factors are significantly and independently associated with fractures [26]. Almost all wrist fractures and over 90% of the hip fractures are the direct result of a fall [27]. Clinical chemistry is done for the purpose of additional diagnostics to identify secondary osteoporosis.

FRAX

The FRAX algorithm calculates a 10-year absolute fracture risk based on the BMD measurement of the hip and the clinical risk factors indicated in the questionnaire. Because a Dutch FRAX tool was not available at the start of the study, the UK FRAX tool is used and adapted thresholds for a high fracture risk are developed based on data from the Longitudinal Aging Study Amsterdam (LASA) [28]. The LASA is a population-based study in a representative sample of the Dutch elderly population. The LASA cohort data was used to calculate the absolute 10-year fracture risk for different age groups using the FRAX, as depicted in Table 6. The absolute threshold for a high fracture risk was defined among women with ≥1 clinical risk factors for fractures.
Table 6

Thresholds for treatment calculated using FRAXa and based on LASA cohort data, stratified for age

Age

Total group

No clinical risk factors for fractures

≥1 clinical risk factors for fractures

Treatment threshold

(yrs)

mean FRAX-score (SD)

N

mean FRAX-score (SD)

N

Mean FRAX-score (SD)

N

 

65-69

12.1 (5.2)

166

8.9 (1.3)

83

15.3 (5.6)

83

>15%

70-74

14.7 (5.8)

187

10.9 (1.6)

90

18.3 (6.0)

97

>18%

75-79

18.6 (7.6)

154

13.2 (2.0)

76

24.0 (7.2)

78

>24%

80-84

22.1 (8.1)

157

17.3 (2.8)

86

28.0 (8.6)

71

>28%

85-91

26.2 (8.1)

101

19.4 (3.1)

44

31.5 (6.8)

57

>32%

FRAX fracture risk assessment tool, LASA Longitudinal Aging Study Amsterdam, SD standard deviation

aUK version of the FRAX tool

DXA

DXA measurements are performed at six different locations (Medisch centrum de Vaart Zaandam, Waterlandziekenhuis Purmerend, Kennemer Gasthuis Haarlem, Onze Lieve Vrouwe Gasthuis (OLVG) Amsterdam, Ziekenhuis Amstelland Amstelveen, and Rode Kruis Ziekenhuis Beverwijk). All locations use a Hologic Discovery device (Hologic Inc., USA). BMD of the non-dominant hip and lumbar spine (L1 to L4) are measured under standardized procedures at all locations. In addition, trabecular bone scores are collected [29]. The dominant hip is used in case measurement of the non-dominant hip is not possible, and at least two lumbar vertebrae are used in case examination of L1 to L4 is not possible. The images are evaluated by an analyst and this evaluation is reviewed by a radiologist.

IVA

The Hologic Discovery (Hologic Inc., USA) provides a lateral image of the spine under standardized procedures. The IVA is performed according to the semi-quantitative method of Genant [30] by two independent examiners and reviewed by a third examiner in case of discordance between the two examiners. The definition of a vertebral fracture is defined as a height reduction of ≥20% in the lumbar spine and a height reduction of ≥25% in the thoracic spine.

Fall risk assessment

Fall risk is assessed with the answers in the initial questionnaire (Table 2). Based on a previously validated risk profile [31], patients who are classified as having increased fall risk have either stated to have fallen twice or more in the previous year, or to have fallen once combined with a reduced mobility or fear of falling (score ≥ 8 (range 1-10, with higher scores indicating more fear of falling)).

Clinical chemistry

Blood samples are analyzed routinely at two different locations. At SALT, serum 25-hydroxyvitamin D (25(OH)D) is determined using the DiaSorin chemiluminescent immunoassay (DiaSorin, Italy), until March 2014, the DIAsource enzyme immunoassay until April 2015 (DIAsource ImmunoAssays, Belgium), and the Roche COBAS 6000’s electrochemiluminescence immunoassay thereafter (Roche Diagnostics USA). Serum calcium, creatinine, albumin, thyroxine, and thyroid stimulating hormone (TSH) are determined using the Roche COBAS 6000 from the start (Roche Diagnostics, USA). Erythrocyte sedimentation rate (ESR) is measured in blood on a Ves-Matic Cube (Menarini Diagnostics, Italy).

In the OLVG hospital, for serum 25(OH)D determination, the DiaSorin was used until September 2014 (DiaSorin, Italy), and the Roche COBAS e601/e602 module thereafter (Roche Diagnostics, USA). The Roche COBAS C702 is used to determine serum calcium, creatinine, and albumin (Roche Diagnostics, USA). Thyroxine and TSH are determined on the Roche COBAS e601/602 analyzer (Roche Diagnostics, USA). Blood ESR is measured using the Sysmex Starrsed Interrliner (Sysmex, Japan), that measures ESR according to the Westergren method.

Creatinine clearance is estimated for all participants by the Cockcroft-Gault formula.

Structured treatment program

Evaluations of the screening program and subsequent formulation of individual treatment advices are the responsibility of an expert team. Precise treatment indications for bone sparing medication are described in Table 7, and the structured treatment program is described in Table 8. The GP’s receive personal instruction about the structured treatment protocol and receive the individual treatment advice for each patient. However, they have professional freedom to decide whether they are going to treat and which medication they are going to use. All GP’s are instructed to report to the research team about each high fracture risk patient in the intervention group if treatment is started and if yes, which treatment is used.
Table 7

Treatment indications for bone sparing medication in the SALT Osteoporosis Study

Treatment indications

Lumbar fracture on IVA with a vertebral height reduction ≥20%a

Thoracic fracture on IVA with a vertebral height reduction ≥25%a

Fracture risk according to FRAX ≥age specific threshold (see Table 6) and

DXA (hip and/or spine) T-score ≤ −2

Treatment indication according to the actual Dutch guideline for GP’s for primary osteoporosis (see Table 1)

DXA dual-energy x-ray absorptiometry, FRAX fracture risk assessment tool, GP general practitioners, IVA instant vertebral assessment

aAccording to the semi-quantitative technique of Genant [30]

Table 8

Structured treatment program of the SALT Osteoporosis Study

Treatment protocol

Calcium supplementation

- ≥4 dairy consumptions/day: none

- 2-3 dairy consumptions/day: 500 mg calcium/day

- 0-1 dairy consumptions/day: 1000 mg calcium/day

Vitamin D supplementation

- 20 μg (800 IU)/day if serum 25-hydroxyvitamin D < 50 nm/L

Bone sparing drugs for a duration of 5 years

- First choice treatment: alendronate 70 mg/week or risedronate 35 mg/week

- Second choice treatment: zoledronic acid 5 mg/year intravenous or denosumab 60 mg subcutaneous/6 monthsa

- Third choice treatment: ibandronic acid 150 mg/month or strontium ranelate 2 mg/day at night (if subject is ≥74 years of age)

Fall prevention

- Notification to GP of increased fall risk if ≥2 falls in the last year mentioned in the questionnaire, or 1 fall in combination with immobility, or fear of falling

Additional evaluation by GP or referral to secondary care

- ESR >50 mm/h

- Calcium (albumin corrected) ≥2.60 mmol/L

- TSH <0.3 mU/L and free T4 > 21 pmol/L

- TSH >3.7 mU/L and free T4 < 12 pmol/L

- Creatinine clearance according to Cockcroft-Gault formula <30 mL/min

Parathyroid hormone analogues

- New vertebral fractures after one year treatment with bone sparing drugs with multiple prevalent vertebral fractures

GP general practitioner, ESR erythrocyte sedimentation rate, TSH thyroid stimulating hormone, T4 thyroxine

aDenosumab has been added as an treatment option since the inclusion of denosumab in the updated version of Dutch guidelines for GP’s in October 2012

As specified by the Dutch guidelines, GP’s are instructed to organise a consultation with patients after 4 weeks, 3 months, 6 months, and every year after the start of bone sparing treatment, in order to optimize adherence and to evaluate side effects. For this reason, GP’s are offered an option to use an application to remind them that a contact is due. GP’s report each consult that occurred, and the application notifies the GP’s if these contacts are due or have been missed.

The GP’s are notified if patients in the intervention group have an increased fall risk. The decision whether and which measures to take for fall prevention is not protocolled.

Control group

Women in the control group receive usual care. At baseline, only clinical risk factors for fractures are examined in the control group, because it has been considered to be unethical to offer women in the control group a DXA without informing them about the results. A waiting list construction is therefore applied to the control group: at the end of the trial, the women in the control group will undergo the same screening as the women in the intervention group.

For additional ethical reasons, all patients in the control group that have an indication for DXA and IVA according to the Dutch guideline for GP’s at the time of their inclusion, are notified accordingly and advised to contact their GP as part of usual care.

Randomisation

Women with at least one clinical risk factor for fractures, as determined by the baseline questionnaire, are assigned to the intervention or control group using individual randomisation, in a 1:1 ratio. The randomisation sequence is computer-generated using the MT_rand function of Hypertext Preprocessor (PHP). Via our web-based database, group allocation is automatically assigned to every new patient that is included.

Blinding

Complete blinding of the patients and study team is not feasible in this open study design. However, we took measures to blind the GP as much as possible: the GP only receives information about patients with a treatment indication in the intervention group. For the other patients, the GP does not know whether or not they have approved to participate, are low risk participants in the intervention group, or are assigned to the control group. In addition, data entry and verification of fractures are performed by study team members that are blinded to group allocation. Statistical analyses will not be performed blindly.

Outcomes

The primary outcome is the time to the first new fracture and the total number of fractures during follow-up. Participants are asked to report fractures at 18 and 36 months, using questionnaires. All fractures will be verified with the GP or the hospital. Fracture information of patients who die during the study, move out of the region, or are otherwise lost to follow-up will be extracted from the GP medical records as well. Additionally, we will study the GP medical records of a subsample of 10% of the patients, who do not report fractures, to estimate the amount of fractures we might have missed using the questionnaires.

Secondary outcomes are osteoporotic fractures (defined as all fractures except fractures of the head, hand/finger, and foot/toe), as well as hip fractures, self-reported falls, and mortality.

Qualitative evaluation

Data for a qualitative process evaluation are collected by visiting a subsample of GP practices, patients, and pharmacies. Via interviews, medical records and pharmacy data we will gain insight in the process and anticipate on potential problems.

Statistical methods

Cox proportional Hazards Models will be used to assess the effect on time to first new fracture between the groups. The proportional hazard assumption will be evaluated. The primary analyses will contain two different comparisons. First, to examine the effect of the screening program plus the structured treatment program, the women in the intervention group will be compared with the women in the control group. Following the intention to treat principle, this comparison includes all randomised women, both the ones with a high fracture risk and the ones with a low fracture risk. Second, we will examine the effect of the structured treatment program. In this analyses, women with a high fracture risk as identified by the screening program and adjoined treatment indication in the intervention group will be compared to women with a high fracture risk and adjoined treatment indication in the control group.

For the latter comparison, data on the fracture risk at baseline will be missing for most of the women in the control group, because DXA and IVA measurements are only performed at the end of 3 years of follow-up in the majority of the controls. In controls who underwent DXA and IVA at baseline, the baseline data will be used. Otherwise, missing data on fracture risk will be substituted. If BMD at follow-up will be sufficient, it is assumed that it was sufficient at baseline too, and if no vertebral fractures are observed at follow-up, than it is likely that no vertebral fractures were present at baseline either. The remainder of missings will be substituted using multiple imputation. For multiple imputation, the available baseline data of the intervention and control group will be used to estimate fracture risk for the women with remaining missing data.

In a secondary analysis we will examine the per protocol effect among adherent women only. All analyses will be adjusted for variables that differ between the intervention and control group at baseline. Interaction effects with age and previous fracture will be examined. An interim analysis has been performed to see if the study needed to be extended or stopped for futility. This analysis did not have consequences for the study continuation.

Sample size calculation

In our pilot study, 3% of all participants fulfilled the selection criteria for treatment with bone sparing drugs according to the actual GP guideline (Fig. 2). Based on the questionnaires we calculated the absolute 10-years fracture risk of the three main types of osteoporotic fractures using the FRAX. Based on this FRAX calculation and using the threshold levels of Table 6, we estimated that 28.2% of the women would fulfil criteria for treatment and that the average absolute 10-years fracture risk of these women was 27.5%, or 8.3% in a 3-year follow-up.

We assume that the incidence of new fractures will be reduced with 35% in the high risk treatment group compared to the control group [5, 6], and aim for an α of 0.05 and a β of 0.2. Taking into account that 3% of the high risk patients in the control group fulfil criteria for treatment with bone sparing drugs based on the current Dutch guidelines, and allowing for a 30% lost to follow-up rate [extrapolated from 26], we calculated that we would need to include n = 1700 in the intervention group and in the control group in order to have n = 1190 patients in both treatment groups at the end of the trial.

Results of inclusion

The inclusion started in 2010. After one year of recruitment, the inclusion was disappointing: only 50% of the approached patients approved to participate instead of the anticipated 80%, and less participants were identified as having a high fracture risk. As a result, more general practices are needed than the 100 practices that were planned, as well as more DXA examinations.

Discussion

Because of the pragmatic study design the results of the SALT Osteoporosis Study will be very important for underpinnings of the prevention strategy of the osteoporosis guidelines. Currently, another large pragmatic trial to the effectiveness of screening older women for the prevention of fractures (the SCOOP study) is being performed in the United Kingdom [29]. The screening strategy of SCOOP is fairly similar to our strategy. In SCOOP, the indication for DXA is determined by the 10-year probability of a hip fracture as calculated by FRAX. After the DXA measurement in women at high risk, the 10-year probability is recalculated following inclusion of femoral neck BMD, to select the women that should be treated. In contrast to our study, IVA is not part of the screening program. The results of the SCOOP trial, are being expected in the coming year.

In addition to its pragmatic design and the use of DXA and IVA, the strength of the current study is that it is being performed in a primary care setting. We will therefore be able to check the follow-up status on fractures and mortality of patient who will be lost during follow up in the medical files, and as a consequence, low rates of missing data on the outcome are expected.

A limitation is the waiting list control group, in which the controls will undergo DXA after the end of the trial. This was done because of ethical considerations. However, inevitably, participants will be lost to follow-up, and therefore missing data on DXA will be increased in the control group, as compared to the intervention group. Multiple imputation will be used to solve this problem.

The sample size calculation was made to examine the effect of the structured treatment program, not primarily to examine the effect of the screening plus treatment program. Therefore, the power to show an effect in the intention to treat analysis (effect of screening and treatment program) is probably not large enough, because of a limited contrast between the treatment groups in this analysis: both the intervention and the control group contain women that do not have an indication for treatment. A larger sample size was practically and financially not feasible. In addition, the sample size calculation was based on the incidence of the three main types of osteoporotic fractures, whereas the main outcome is all types of fractures. The reason for this is that the FRAX algorithm was used to estimate fracture incidence, and this tool is not available for all types of fractures. The choice for all fractures as primary outcome results in 20% more fractures [32], and therefore increases the statistical power. Osteoporotic fractures will be analyzed subsequently.

If our screening program is effective, it might reduce the cost of fractures, but will also bring additional costs for screening and treatment. A cost-effectiveness evaluation is therefore of major interest. However, only a restricted cost-effectiveness analysis is possible for this study. Patients will be asked about medical visits and hospital admission twice during the follow-up of three years. We will be able to estimate and compare the costs of a fracture in both treatment arms.

In the Netherlands, usual osteoporosis care is problem-driven in reaction to, for example, a fracture or a question of the patient. Standardized screening in which x-ray examination is part of the process, is not allowed without special permit by the government. We are performing the study as a population study, with approval of the Dutch Health Council and Dutch Ministry of Health, Wellbeing and Sports, in which all women of 65 years or older are invited to participate and we will perform a process analysis of this approach by interviewing patients, doctors and general practices. This might lead to additional insights on how the prevention of osteoporosis in primary care can be improved. The primary result of the SALT Osteoporosis Study, that is the effectiveness of the screening and treatment program, will have a large impact on the strategy for fracture prevention.

Abbreviations

25(OH)D: 

25-hydroxyvitamin D

BMD: 

Bone mineral density

DXA: 

Dual x-ray absorptiometry

ESR: 

Erythrocyte sedimentation rate

FRAX: 

Fracture risk assessment tool

GP: 

General practitioner

IVA: 

Instant vertebral assessment

LASA: 

Longitudinal Aging Study Amsterdam

SALT: 

Stichting ArtsenLaboratorium en Trombosedienst

TSH: 

Thyroid stimulating hormone

Declarations

Acknowledgements

The authors gratefully thank all participants and participating GP’s. In addition, all dedicated co-workers are thanked for their substantial organizational input, especially Yvonne Hoeben, Ilse van Delden, Jorine Boot, Menno Merlijn, Manuela de Jong, Leonie Quak, and Hester Pauli.

Funding

The SALT Osteoporosis Study is largely funded by Stichting Achmea Gezondheidszorg. Unrestricted grants have been provided by Takeda Nederland B.V., Amgen B.V., and Teva Nederland. Healthcare costs are compensated by Achmea and VGZ Zorgverzekeraar. Additional financial support is provided by Stichting ArtsenLaboratorium en Trombosedienst. Extra funding to study medication adherence within the SALT Osteoporosis Study has been obtained after the start of the trial via unrestricted grants provided by Takeda Nederland B.V., Amgen B.V., and Teva Nederland. The sponsors do not have any role in the design or implementation of the study, data collection, data management, future data analysis, and interpretation, or in the preparation, review, or approval of the manuscript.

Availability of data and materials

Not applicable.

Authors’ contributions

Study concept and design (PJME, TM, CN, PL, JCN, NMvS); data collection and management (PJME, TM, KMAS, WvH, BCvdZ, JCN); trial coordination (PJME, TM); data analysis plan (PJME, TM, KMAS, MWH, NMvS); warranty of infrastructure (CN, HEvdH), intellectual content and interpretation (PJME, TM KMAS, WvH, BCvdZ, CN, MWH, AAvdH, FR, HEvdH, PL, JCN, NMvS); drafting the manuscript (PJME, TM, KMAS); review of the manuscript and approval of the final version (PJME, TM KMAS, WvH, BCvdZ, CN, MWH, AAvdH, FR, HEvdH, PL, JCN, NMvS). PJME is the principle investigator.

Ethics approval and consent to participate

All participants provided written informed consent. The trial was approved by the Dutch Health Council (2009/05WBO), and an execution license was provided by the Dutch Ministry of Health, Wellbeing and Sports (PG/)GZ-2.978.265).

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

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Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
Department of General Practice and Elderly Care Medicine, VU University Medical Center, Amsterdam Public Health research institute
(2)
Stichting ArtsenLaboratorium en Trombosedienst
(3)
Department of Epidemiology and Biostatistics, VU University Medical Center, Amsterdam Public Health research institute
(4)
Department of Internal Medicine, Endocrine Section, VU University Medical Center, Amsterdam Public Health research institute

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Copyright

© The Author(s). 2017

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