Skip to main content

Development of a new tool for assessing Health-Related Quality of Life in patients with primary hyperparathyroidism



Several studies in recent years have evaluated Health Related Quality of Life (HRQoL) of patients with primary hyperparathyroidism (PHPT). No disease specific questionnaires are available to assess the impact of the disease. The aim of this research is to describe the development of a new disease specific Quality of Life (QoL) questionnaire for use specifically with PHPT patients.


A conceptual model was developed describing the impact of the disease and its symptoms on QoL domains. A literature review was conducted to identify the most relevant domains. A focus group with experts was used to validate the domains; 24 patients were also interviewed to complement the information from the patient’s perspective. A content analysis of the interviews was performed to identify items related with the impact of the disease, leading to PHPQoL-V.1 which was presented to a sample of 67 patients. Reliability was assessed by Cronbach’s coefficient alpha and item-total score correlations. Validity was assessed by a factor analysis performed to determine the number of domains. Rasch analysis was carried out in order to refine the questionnaire items.


259 items were extracted from the interviews that were subsequently reduced to 34 items. Cronbach’s coefficient alpha was 0.92. The factor analysis extracted two domains (physical and emotional). After Rasch analysis the questionnaire PHPQoL-V.2 kept 16 items (9 physical and 7 emotional). The questionnaire was developed in a Spanish population and the final version was translated to English through translation and back-translation.


The first disease specific HRQoL questionnaire for PHPT patients (PHPQoL-16) has been developed. Validation studies designed to assess measurement properties of this tool are currently underway.


Primary hyperparathyroidism (PHPT) is an endocrine disease characterized by hypercalcemia attributable to autonomous overproduction of parathyroid hormone (PTH). Therefore PHPT, is often detected by routine serum calcium measurement [1]. Poor control of elevated calcium levels can increase the risk of mortality due to cardiovascular, gastrointestinal, nervous, or kidney disorders or problems affecting bones and muscles [2]. In eight out of ten cases, the cause is a solitary, benign tumor (chiefcell adenoma) [3]. The prevalence of PHPT increases with age and is greater in women than in men; 80% of patients are apparently asymptomatic [4, 5].

The diagnostic and therapeutic approaches to PHPT have changed in recent decades, but not without controversy. Prior to the 1970s, diagnosis was based purely on symptoms, meaning that the disease was only detected in symptomatic patients. The diagnosis of asymptomatic PHPT only became possible with the availability of biochemical tests that made it possible to test serum calcium levels and PTH [6]. Current PHPT treatment varies according to whether or not a patient has symptoms; this is reflected in different guidelines and consensus statements [7]. These guidelines suggest that all patients with confirmed PHPT and who present specific symptoms or signs of their disease should undergo surgical treatment. In addition, in some studies, surgical treatment has been associated with significant improvements in neuropsychological symptoms such as anxiety, depression, and mood swings [812], and HRQoL [13]. Improvement is particularly significant in patients with symptoms of depression and anxiety before surgery [14]. However, the benefit of surgery in terms of improving HRQoL in asymptomatic patients or in patients with minor symptoms is not so clear [15]. The most common pharmacologic treatment for apparently asymptomatic patients or patients who are not eligible for surgery are bisphosphonates, estrogens, vselective estrogen receptor modulators (SERMS), and calcimimetics [7].

Few studies have analyzed the impact of PHPT on HRQoL [1619] and no disease specific questionnaires was available. A questionnaire specifically designed to assess the impact of symptoms on the emotional, social, and physical well being of PHPT patients would be useful to assess the impact of the disease and its treatment on patients’ HRQoL.

The aim of this study is to present the results of the development process of a disease specific HRQoL questionnaire for use in PHPT patients.

Material and methods

According to FDA guidelines related to patient-reported outcome measures [20], the conceptual framework was established for the development of the questionnaire (Figure 1). A HRQoL specific questionnaire for PHPT should reflect the impact of PHPT on patients, and should be able to quantify the impact of physical and psychological symptoms. The ability of the questionnaire to reflect the impact of psychological symptoms was considered a key issue, as these symptoms are more difficult to identify by the endocrinologist, especially in patients who declare not to have any symptoms. In addition, it was also considered important to develop a questionnaire that took into account the relationship between symptoms and their impact on different domains of a patient’s life (psychological, social, physical, activities of daily living and energy/vitality). Considering all these aspects, the starting point was the development of a specific PHPT HRQoL questionnaire that would provide physicians with a tool to gain knowledge on the impact of PHPT on the patient’s daily life.

Figure 1
figure 1

Conceptual framework.

The HRQoL questionnaire for patients with PHPT was developed in three phases, namely generation, selection, and reduction of items [2123].

Item generation

The first step was to review studies and questionnaires dealing with HRQoL in PHPT included in MEDLINE in the past 10 years. The information obtained was used to identify topics and domains related to HRQoL and PHPT. A group of five experts (4 endocrinologists with experience in managing and treating PHPT patients, and one specialist in HRQoL questionnaires development) answered a semi-structured questionnaire in order to validate the information obtained from the literature review and identify those aspects they believed have an impact on patients’ life. Thereafter a Focus Group was organized with the same experts in order to reach a final consensus on the most important domains to be included in the final questionnaire. A Focus Group allows information to be collected through group interaction on a specific topic; giving rise to more information than that obtained from individual interviews [24].

Item selection

In a second step, the resulting information on the most important domains identified by the experts was then used to create a semi-structured interview to identify which items had the greatest impact on patient’s daily life. A psychologist specializing in the development of patient-reported outcomes interviewed 24 patients with confirmed diagnosis of PHPT using this semi-structured interview. PHPT was diagnosed using clinical and biochemical data (hypercalcemia and elevated PTH after ruling out other causes of hypercalcemia). The interviews, which lasted between 30 and 45 minutes, were all audio-recorded and subsequently transcribed with the patients’ consent. The transcribed interviews were then used to extract items that indicated negative impact for each of the HRQoL domains analyzed.

An initial analysis and review of the content of the extracted items was performed by two psychologist to identify items that were considered inappropriate, redundant, or ambiguous. These items were removed from the item list. The remaining items were then reworded according to HRQoL expert opinion to produce a preliminary list of questionnaire items.

Each item was critically evaluated by the same five experts for clarity (ease of understanding by the patient), importance (relevance in terms of evaluating the impact of PHPT on HRQoL) and frequency (number of cases in which PHPT patients used the expression) [22, 25, 26]. The experts scored each item on a Likert-type scale ranging from 1 (not very clear/important/frequent) to 5 (very clear/important/frequent). Based on the scores assigned by the experts, items with a mean score of over 2.75 (25th percentile) were judged to be very clear; a score of over 2 was considered to be very important and very frequent (50th percentile in both cases). Items which did not comply with the following percentiles were removed: frequency × importance <50th percentile plus importance <50th percentile; frequency × importance <50th percentile plus frequency <50th percentile and clarity <25th percentile. In the case of clarity, items were removed when the problem was related to the concept rather than the wording. Other content analysis aspects were taken into consideration in the item reduction based on the judgment of three HRQoL experts.

Item reduction

The identified items were then assembled into a questionnaire format (PHPQoL-V.1, with 34 items) (see ‘PHPQoL-V.1 (PHPQoL-34) subsection). A group of 67 active PHPT patients were asked to complete the PHPQoL-V.1 questionnaire (pilot study). This group of patients did not include the 24 patients who were interviewed previously. For each item, they were instructed to choose the option (always, often, sometimes, almost never, never) that better reflected their daily life. Data were also collected on age, gender, history of surgery for PHPT (yes/no) and kidney stone treatment, and fractures in the past two years.

PHPQoL-V.1 (PHPQoL-34)

In the last month,…

  1. 1.

    I’ve felt tired or fatigued

  2. 2.

    I’ve felt sleepy after getting up in the morning and it’s been hard to get going

  3. 3.

    I’ve felt weak

  4. 4.

    I’ve found it difficult to walk for a long time

  5. 5.

    I’ve noticed that I get short of breath when I walk quickly

  6. 6.

    I’ve had difficulty going up and down stairs

  7. 7.

    I’ve been irritable

  8. 8.

    I’ve felt depressed

  9. 9.

    I’ve been down

  10. 10.

     I’ve been sad

  11. 11.

     I’ve been in a bad mood

  12. 12.

     I’ve slept well

  13. 13.

     I’ve woken up during the night

  14. 14.

     I’ve had difficulty falling asleep

  15. 15.

     I haven’t been able to remember things

  16. 16.

     I’ve had difficulty remembering how to do routine activities (e.g., cooking)

  17. 17.

     I’ve found it hard to concentrate

  18. 18.

     I’ve been worried when I think about my illness

  19. 19.

     I’ve been worried, not only about hyperparathyroidism but also its complications

  20. 20.

     I’ve been worried that I might need an operation

  21. 21.

     I’ve had kidney stones

  22. 22.

     I’ve had stomach problems such as burning or gastritis

  23. 23.

     I’ve been constipated

  24. 24.

     I’ve had back pain

  25. 25.

     My bones and/or joints have ached

  26. 26.

     I’ve been able to carry out my activities as normal

  27. 27.

     I’ve restricted some leisure activities because of the symptoms of the illness

  28. 28.

     The illness has limited what household chores I do

  29. 29.

     The illness has prevented me from making plans for the future (such as holidays,…)

  30. 30.

     I’ve stopped doing things due to fear they would make my illness worse

  31. 31.

     I’ve stopped doing things with friends because of my illness

  32. 32.

     I’ve stopped working because of the illness

  33. 33.

     The illness has prevented me from working

  34. 34.

     I’ve noticed I find it more difficult to concentrate at work than before

Results of the pilot study were analyzed using Classical Test Theory (CTT) [27] and Item Response Theory (ITR) [28], and specifically on the Rasch analysis [29, 30].

Using the CTT approach internal consistency (correlation of each item with total score, >0.7 theoretical) and reliability (Cronbach’s alpha, >0.7 theoretical) were assessed. Exploratory factor analysis was used to identify domains based on factor loadings. The total possible score on the PHPQoL-34 range from 34 (worst possible HRQoL) to 170 (best possible HRQoL). In order to facilitate interpretation of scores, these were normalized to a scale of 0 to 100, with higher scores indicating better HRQoL, using the following formula:

P 100 = 100 / p max p min * p real p min

The Rasch model specifies that an individual’s answer to an item is the result of an interaction between the position of the item in the construct (calibration) and that of the individual (score). The model constructs a line in which each item is positioned and provides fit statistics to indicate how well an item describes the questionnaire’s answer. The analysis was performed using BIGSTEPS software, version 2.7.3. The term measurement is a measure of the difficulty of each item (a negative measurement indicates greater difficulty). The most common statistics used in this model are infit and outfit statistics (the information-weighted average of the squared standardized deviation of observed score with respect to expected score). Items with an infit or outfit mean-squares value of over 1.4 or less than 0.6 were excluded, as were items with a separation index of 1 for each domain [31]. Successive Rasch analyses were performed on each domain until all the items showed satisfactory fit.

The final Spanish version of the questionnaire was accurately translated into English following recommended standard methodology [32].


Item generation

Our literature search retrieved 64 studies on HRQoL in PHPT; of these, 16 were selected for analysis of the most relevant items related to the impact of PHPT on daily life. The rest of studies were excluded because they were comparative studies of pharmacological treatments or because the measures used to evaluate HRQoL were not clear. Twenty-two items were chosen, including weakness, anxiety, depression, insomnia, apathy, lack of concentration, pain (muscle, bone, and joints), mood swings, loss of appetite, and digestive problems (vomiting, nausea). The different items were assigned to the following HRQoL domains: physical, emotional, social functioning, daily activities, symptoms, cognitive function, perceived health, sexual function, energy/vitality, and pain.

Item selection

In total, 259 items considered to be relevant were extracted from the transcriptions of the interviews conducted in a group of 24 patients. Items considered to be redundant, ambiguous, or inappropriate were excluded. The number of items was reduced to 52 and reworded to form a suitable questionnaire items. These items were assessed by the group of experts, and those items that did not meet the criteria mentioned in the “Item Selection” section of “Material and Methods” were removed. The total number of items remaining after the qualitative analysis conducted by the HRQoL experts was 34.

Item reduction

The PHPQoL-V.1 ( see ‘PHPQoL-V.1 (PHPQoL-34) subsection) was presented to a group of 67 PHPT patients (Table 1). Their mean (± SD) age was 59.2 (±13.4) years, 69.7% were women and 52.3% had a history of surgery for PHPT.

Table 1 Sociodemographic and clinical characteristics of the 67 patients who took part in the pilot studyof the PHPQoL-v.1 questionnaire

The response rate was 80.9%. Most frequently unanswered items were 32, 33, and 34, all related to working life.

Internal consistency as measured by Cronbach’s alpha was 0.96 for the 34 items.

The mean normalized score obtained by the patients on the PHPQoL-V.1 was 63.2 ±19.70.

Those items not answered by over 50% of the patients (items 16, 29, 30, 31, 32, and 33 of PHPQoL-v1, see ‘PHPQoL-V.1 (PHPQoL-34) subsection) were eliminated. In total, six items were removed in this phase.

The remaining 27 items were subjected to exploratory factor analysis, which yielded two major domains explaining 51.5% of the total variance. The first domain explained 44.5% of the variance while the second domain explained 7%. All of the items that contributed to each of the domains had a factor loading of at least 0.4; item 10 (I’ve been sad’) had a similar loading on both factors but was included in the second one due to its similarity to the other items in this domain. None of the items in either of the two domains had a factor loading of less than 0.4 and were therefore not removed.

Thereafter, the Rash analysis was performed for each one of the domains. The Rasch model lists the items in relation to severity and selects the items according to adjustment to the model, redundancy, discriminant validity and content.

Following the application of Rasch analysis (Table 2), the number of items in the first domain was reduced from 12 to 11; item 6 (I’ve had difficulty going up and down stairs) was removed as it had an infit value of over 1.4. Overlapping items were assessed by the expert group with the aim of retaining just one item per level of impact. In the case of item 1 (I’ve felt tired or fatigued) and item 24 (I’ve had back pain), it was decided to retain item 24 as back pain is a common problem in PHPT and is also associated with a higher incidence of hip fracture [33, 34]. Furthermore, the content of item 1 was covered by items 3 (I’ve felt weak) and 4 (I’ve found it hard to walk for a long time).

Table 2 Summary of Rasch analysis results for the physical and emotional functioning domains

In the Rasch analysis of the second domain, five items were removed as they were outside the limits established for infit and outfit values. Items 7 (I’ve been irritable) and 14 (I’ve had difficulty falling asleep) overlapped and it was decided to retain item 7 as irritability had been mentioned frequently by the patients interviewed. Furthermore, sleep-related problems were already covered by items 12 and 13. Likewise, in the case of items 8 (I’ve felt depressed) and 18 (I’ve been worried when I think about the illness), it was decided to retain item 8 as the concept of worry was covered by item 19.

Item 16 was retained based on the results of the Rasch analysis but the option not applicable was added to the response categories, as the item was only applicable to patients who were working.

After applying Rasch analysis in each domain, the total number of items of the questionnaire was 16 (PHPQoL-V.2) (see ‘PHPQoL-V.2 (PHPQoL-16) subsection); 9 items corresponded to the first domain (PHPQoL-9) and 7 items to the second domain (PHPQoL-7). Based on the content of the items included in each domain, the first domain (PHPQoL-9) was labeled the physical functioning domain while the second one (PHPQoL-7) was labeled as the emotional functioning domain.

PHPQoL-V.2 (PHPQoL-16)

Over the last 4 weeks and due to calcium problems, …

  1. 1.

    I've felt sleepy after getting up in the morning and it's been hard to get going

  2. 2.

    I've felt weak

  3. 3.

    I've found it hard to walk for a long time

  4. 4.

    I've noticed I get short of breath when I walk quickly

  5. 5.

    I’ve had back pain

  6. 6.

    My bones and/or joints have ached

  7. 7.

    I've found it difficult to carry out my daily activities

  8. 8.

    I've restricted some of my leisure activities

  9. 9.

    I've restricted what household chores I do

  10. 10.

     I've been irritable

  11. 11.

     I've felt depressed

  12. 12.

     The illness has stopped me from sleeping well

  13. 13.

     I've woken up during the night

  14. 14.

     I've found it hard to concentrate

  15. 15.

     I've been worried, not only about the illness but also its complications

  16. 16.

     I've noticed I find it more difficult to concentrate at work than before

The correlations between the mean overall score obtained on the PHPQoL-16 and on each of the domains were over 0.90 and higher than the cutoff of 0.70. The correlation between the mean scores obtained on the PHPQoL-V.1 and the PHPQoL- V.2 was 0.98 (Table 3).

Table 3 Correlation between PHPQoL-V.2 (16 items), PHPQoL-9 (physical functioning), PHPQoL-7 (emotional functioning), and PHPQoL-V.2 (34 items) (version 1 of the questionnaire)

Table 4 shows a summary of the most relevant results obtained for the initial 34- item (PHPQoL-V.1) and the reduced 16-item versions (PHPQoL-V.2).

Table 4 Summary of measurement properties of different versions of the PHPQoL questionnaire

There were statistically significant differences between overall scores when analyzed by gender, with women scoring lower than men (p < 0.01). We also observed worse HRQoL with increasing age, but this did not reach statistical significance (p = 0.52). There were no significant differences in scores depending on whether or not the patients had undergone surgery (p = 0.074) or had been treated for kidney stones (p = 0.23). None of the patients reported fractures in the past 2 years.

The PHPQoL-v.2 was translated by two professional (bilingual) translators with experience in translating HRQOL questionnaires; in a consensus meeting both translations were compared with each other and with the original Spanish version. This version was then independently translated back into Spanish to ascertain equivalent significance in both languages.


We have developed a disease specific HRQoL questionnaire for PHPT patients using classical test theory and item response theory [22, 23]. The first version composed of 34 items was reduced resulting in a final version of the question containing 16 items across two domains: physical and emotional. The results suggest the adequacy of the 16-item questionnaire for evaluating in a valid and reliable way HRQoL of patients with PHPT.

The PHPQoL questionnaire has been specifically designed to be used with those patients with PHPT. It is designed to quickly assess the impact of the emotional/neuropsychological and physical aspects of the disease that can highly affect patients’ lives, but that are difficult to quantify in a fast, standardized manner in routine clinical practice. Furthermore, PHPQoL has all the elements required to become a suitable questionnaire for both routine clinical practice and research: it has few items, is easily understandable by the patient, and contains short questions and response categories. The definitive scoring system and clinically relevant thresholds will be determined in the validation phase of the study, which is already underway. The current version of the PHPQoL also has good preliminary measurement properties.

Up to date, the impact of PHPT on patients’ HRQoL has been measured using generic questionnaires. The advantage of disease specific questionnaires versus generic ones is that the former allow assessing the impact of specific, often exclusive, aspects of a disease and its treatment on patient’s daily lives. While studies performed in PHPT patients with generic questionnaires, such as the SF-36 [13, 15], have shown that surgery and other treatments improve HRQoL of symptomatic patients, particularly in aspects related to vitality, social functioning, general health, and mental health, the cognitive aspects related to memory loss or attention deficit cannot be evaluated using these instruments.

Other existing questionnaires are largely used in clinical practice to measure the severity of the symptoms, but these questionnaires do not link the severity of symptoms with their impact on a patient’s daily life. An example of this is the Pasieka’s parathyroid symptoms score, which evaluates the severity of PHPT symptoms and detects changes after surgery [35]. Other questionnaires are the Beck Depression Inventory which measures neuropsychological symptoms such as anxiety, depression, and memory problems, the Hamilton Anxiety and Depression scale [36], the North American Adult Reading Test [37], and the Rey Auditory Verbal Learning Test [38] to evaluate HRQoL, but none of these questionnaires is specific or was designed to evaluate PHPT patients.

One of the interests of those specialists who treat PHPT patients is the impact of their treatments on the HRQoL in symptomatic and apparently asymptomatic patients. The HRQoL described in this manuscript appears capable of serving that function. Up to date the majority of studies have concluded that both quality of life and neuropsychological symptoms improve after surgery [12, 14, 39], but HRQoL has been measured through generic questionnaires. The disease specific HRQoL PHPT questionnaire will be a useful tool in clinical practice to understand the impact of treatment on patients’ daily life.

Results of the pilot study (67 patients) showed no significant differences in scores depending on whether or not the patients had undergone surgery or had been treated for kidney stones, but the sample of patients treated with kidney stones was very small. It is to be expected that a larger sample of patients with kidney stones, would show differences between patients with and without symptoms in terms of HRQoL.

Only preliminary data are available on the measurement properties of the PHPQoL questionnaire. A validation study is currently underway involving a large sample of PHPT patients with the aim of determining the measurement properties of this questionnaire such as validity, reliability and sensitivity to change.

In conclusion, these results suggest that the described HRQoL questionnaire is useful for defining the impact of PHPT on the HRQoL of these patients.


  1. Fraser WD: Hyperparathyroidism. Lancet 2009, 374: 145–158. 10.1016/S0140-6736(09)60507-9

    CAS  PubMed  Article  Google Scholar 

  2. Anderson JL, Vanwoerkom RC, Horne BD, Bair TL, May HT, Lappé DL, Muhlestein JB: Parathyroid hormone, vitamin D, renal dysfunction, and cardiovascular disease: dependent or independent risk factors? Am Heart J 2011, 162: 331–339. 10.1016/j.ahj.2011.05.005

    PubMed  Article  Google Scholar 

  3. Pyram R, Mahain G, Gliwa A: Primary hyperparathyroidism: skeletal and non-skeletal effects, diagnosis and management. Maturitas 2011, 70: 246–255. 10.1016/j.maturitas.2011.07.021

    CAS  PubMed  Article  Google Scholar 

  4. Muñoz Torres M, Jodar Gimeno E, Reyes Garcia R, Martínez Diaz Guerra G, Amado JA, Gaztambide S, Quesada Gómez JM, Calcium Study Group: Results from a national survey on the management of primary hyperparathyroidism. J Endocrinol Invest 2011,  . Dec 15. [Epub ahead of print]

    Google Scholar 

  5. Tsukahara K, Sugitani I, et al.: Surgery did not improve the subjective neuropsychological symptoms of patients with incidentally detected mild primary hyperparathyroidism. Eur Arch Otorhinolaryngol 2008, 265: 565–569. 10.1007/s00405-007-0523-6

    PubMed Central  PubMed  Article  Google Scholar 

  6. Pierre ND: Asymptomatic hyperparathyroidism: a medical misnomer? Surgery 2005, 137: 127–131. 10.1016/j.surg.2004.06.037

    Article  Google Scholar 

  7. Bilezikian JP, Khan AA, Jr Potts JT, on behalf of the third International Workshop on the management of asymprotmatic primary hyperthyroidism: Guidelines for the management of asymptomatic primary hyperparathyroidism: summary statement from the Third International workshop. J Clin Endocrinol Metab 2009, 94: 335–339. 10.1210/jc.2008-1763

    CAS  PubMed Central  PubMed  Article  Google Scholar 

  8. Leong KJ, Sam RC, Garnham AW: Health Related Quality of Life improvement following surgical treatment of primary hyperparathyroidism in a United Kingdom population. Surgeon 2010, 8: 5–8. 10.1016/j.surge.2009.10.005

    CAS  PubMed  Article  Google Scholar 

  9. Coker LH, Rorie K, Cantley L, Kirkland K, Stump D, et al.: Primary hyperparahyroidism, cognition, and Health Related Quality of Life. Ann Surg 2005, 242: 642–650. 10.1097/

    PubMed Central  PubMed  Article  Google Scholar 

  10. Pasieka JL, Parsons L, Jones J: The long-term benefit of parathyroidectomy in primary hyperparathyroidism: a 10-year prospective surgical outcome study. Surgery 2009, 146: 1006–1013. 10.1016/j.surg.2009.10.021

    PubMed  Article  Google Scholar 

  11. Gopinath P, Sadler GP, Mihai R: Persistent symptomatic improvement in the majority of patients undergoing parathyroidectomy for primary hyperparathyroidism. Langenbecks Arch Surg 2010, 395: 941–946. 10.1007/s00423-010-0689-z

    PubMed  Article  Google Scholar 

  12. Kahal H, Aye M, Rigby AS, Sathyapalan T, England RJ, Atkin SL: The effect of parathyroidectomy on neuropsychological symptoms and biochemical parameters in patients with asymptomatic primary hyperparathyroidism. Clin Endocrinol (Oxf) 2012, 76: 196–200. 10.1111/j.1365-2265.2011.04197.x

    CAS  Article  Google Scholar 

  13. Amborgini E, Cetani F, Cianferotti L, Vignali E, Banti C, Viccica G, Oppo A, Miccoli P, Berti P, et al.: Surgery of surveillance for mild asymptomatic primary hyperparathyroidism: a prospective, randomized clinical trial. J Clin Endocrinol Metab 2007, 92: 31114–31121.

    Google Scholar 

  14. Weber T, Keller M, Hense I, Pietsch A, Hinz U, Schilling T, Nawroth P, Klar C, Büchler MW: Effect of parathyroidectomy on quality of life and neuropsychological symptoms in primary hyperaparathyroidism. World J Surg 2007, 31: 1202–1209.

    PubMed  Article  Google Scholar 

  15. Bollerslev J, Jansson S, Mollerup CL, Nordenström J, Lundgreen E, Torring O, et al.: Medical observation, compared with parathyroidectomy, for asymptomatic primary hyperparathyroidism: a prospective, randomized trial. J Clin Endocrinol Metab 2007, 92: 1613–1615. 10.1210/jc.2007-0551

    Article  Google Scholar 

  16. Siilin H, Rastad J, Ljunggm O, Lundgreen E: Disturbances of calcium homeostasis consistent with mild primary hyperparathyroidism in premenopausal women and associated morbidity. J Clin Endocrinol Metab 2008, 93: 47–53.

    CAS  PubMed  Article  Google Scholar 

  17. Caron NR, Pasieka JL: What symptom improvement can be expected after operation for primary hyperparathyroidism? World J Surg 2009, 33: 2244–2255. 10.1007/s00268-009-9987-4

    PubMed  Article  Google Scholar 

  18. Bachar G, Gilat H, Mizrachi A, Shimon I, Feinmesser R, Kaizerman I, Shpitzer T: Comparison of perioperative management and outcome of parathyroidectomy between older and younger patients. Head Neck 2008,30(11):1415–1421. 10.1002/hed.20887

    PubMed  Article  Google Scholar 

  19. Pino V, Keituqwa T, Trinidad G, Marcos M, Pardo G, Blasco A: Evolución clínica en los pacientes intervenidos por hiperparatiroidismo primario. Nuestros resultados y revisión de la literatura. Acta Otorrinolaringol Esp 2003, 54: 584–588. 10.1016/S0001-6519(03)78453-2

    Article  Google Scholar 

  20. US Department of Health and Human Services Food and Drug Administration: Guidance for industry. Patient-reported outcome measures: use in medical product development to support labeling claims.

  21. Badia X, Arribas F, Ormaetxe JM, Peinado R, de los Terreros MS: Development of a questionnaire to measure health-related quality of life (HRQoL) in patients with atrial fibrillation (FA-QoL). Health Qual Life Outcomes 2007, 5: 37. 10.1186/1477-7525-5-37

    PubMed Central  PubMed  Article  Google Scholar 

  22. Webb SM, Prieto L, Badia X, Albareda M, Catalá M, Gaztambide S, Lucas T, Páramo C, Picó A, Lucas A, Halperin I, Obiols G, Astorga R: Acromegaly Quality of Life questionnaire (ACROQoL) a new health-related quality of life questionnaire for patients with acromegaly: development and psychometric properties. Clin Endocrinol (Oxf) 2002, 57: 251–258. 10.1046/j.1365-2265.2002.01597.x

    CAS  Article  Google Scholar 

  23. Pérez-Campos E, Dueñas JL, de la Viuda E, Gómez MA, Lertxundi R, Sánchez-Borrego R, Canals I, Bermejo R, Arbat A, Badia X, Perulero N, Lete LI: Development and validation of the SEC-QoL questionnaire in women using contraceptive methods. Value Health 2011, 14: 892–899. 10.1016/j.jval.2011.08.1729

    PubMed  Article  Google Scholar 

  24. Morgan DL: Focus Group. Ann Rev Sociol 1996, 22: 129–152. 10.1146/annurev.soc.22.1.129

    Article  Google Scholar 

  25. Guyatt GH, Berman LB, Townsend M, Pugsley SO, Chambers LW: A measure of quality of life for clinical trials in chronic lung disease. Thorax 1987,42(10):773–778. 10.1136/thx.42.10.773

    CAS  PubMed Central  PubMed  Article  Google Scholar 

  26. Juniper EF, Guyatt GH, Epstein RS, Ferrie PJ, Jaeschke R, Hiller TK: Evaluation of impairment of health related quality of life in asthma: development of a questionnaire for use in clinical trials. Thorax 1992,47(2):76–83. 10.1136/thx.47.2.76

    CAS  PubMed Central  PubMed  Article  Google Scholar 

  27. Nunally JC, Bernstein IH: Psychometric theory 1994. New York: McGraw Hill Series in Psychology; 1994.

    Google Scholar 

  28. Croker L, Algina J: Introduction to classical and modern test theory. Fort Worth (USA): Harcourt Brace Jovanovich; 1986.

    Google Scholar 

  29. Rasch G: Probabilistic models for some intelligence and attainment test. Copenhagen: Paedogogiske Institute; 1993.

    Google Scholar 

  30. Wright BD, Stone MH: Best Test Design. Chicago, IL: MESA Press; 1979.

    Google Scholar 

  31. Wright BD, Linacre JM, Gustafson JE, Marin Lof P: Reasonable mean-square fit values. Rash Means Trans 1994, 8: 370.

    Google Scholar 

  32. Herdman M, Fox-Rushby J, Badia X: A model of equivalence in the cultural adaptation of HRQoL instruments: the universalist approach. Qual Life Res 1998, 7: 323–335. 10.1023/A:1008846618880

    CAS  PubMed  Article  Google Scholar 

  33. VanderWalde LH, Liu IL, O'Connell TX, Haigh PI: The effect of parathyroidectomy on bone fracture risk in patients with primary hyperparathyroidism. Arch Surg 2006, 141: 885–889. discussion 889–91 10.1001/archsurg.141.9.885

    PubMed  Article  Google Scholar 

  34. Di Monaco M, Vallero F, Di Monaco R, Mautino F, Cavanna A: Primary hyperparathyroidism in elderly patients with hip fracture. J Bone Miner Metab 2004,22(5):491–495.

    PubMed  Article  Google Scholar 

  35. Mihai R, Sadler GP: Pasieka’s parathyroid symptoms scores correlate with SF-36 socres in patients undergoing surgery for primary hyperparathyroidism. World J Surg 2008, 32: 807–814. 10.1007/s00268-008-9509-9

    PubMed  Article  Google Scholar 

  36. Bjelland I, Dahl AA, Haug TT, Neckelmann D: the validity of the Hospital Anxiesty and Depression Scale. An updated literature review. J Psychosom Res 2002, 52: 69–77. 10.1016/S0022-3999(01)00296-3

    PubMed  Article  Google Scholar 

  37. Uttl B: North American Adult Reading Test: age, norms, reliability and validity. J Clin Exp Neuropsychol 2002, 24: 1123–1137. 10.1076/jcen.24.8.1123.8375

    PubMed  Article  Google Scholar 

  38. Schoenberg MR, Dawson KA, Duff K, Patton D, Scott JG, Adams RL: Test performance and classification statistics for the Rey Auditory Verbal Learning Test in selected clinical samples. Arch Clin Neuropsychol 2006,21(7):693–703. 10.1016/j.acn.2006.06.010

    PubMed  Article  Google Scholar 

  39. Caillard C, Sebag F, Mathonnet M, Gibelin H, Brunaud L, Loud C, Kraimps JL, Hamy A, et al.: Prospective evaluation of quality of life (SF-36v2) and nonspecific symptoms before and after cure of primary hyperparathyroidism (1-year follow-up). Surgery 2007, 141: 153–159. 10.1016/j.surg.2006.12.004

    PubMed  Article  Google Scholar 

Download references


This study was supported in part by a grant from Amgen, S.A. Writing assistance was supported by Núria Perulero from IMS Health.

Author information

Authors and Affiliations


Corresponding author

Correspondence to Susan M Webb.

Additional information

Competing interests

The authors do not have any conflict of interests.

Authors’ contributions

All authors have contributed equally in the questionnaire & study development. All authors read and approved the final manuscript.

Authors’ original submitted files for images

Below are the links to the authors’ original submitted files for images.

Authors’ original file for figure 1

Authors’ original file for figure 2

Authors’ original file for figure 3

Rights and permissions

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and Permissions

About this article

Cite this article

Webb, S.M., Puig-Domingo, M., Villabona, C. et al. Development of a new tool for assessing Health-Related Quality of Life in patients with primary hyperparathyroidism. Health Qual Life Outcomes 11, 97 (2013).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI:


  • Item Response Theory
  • Kidney Stone
  • Primary Hyperparathyroidism
  • Classical Test Theory
  • PHPT Patient