Skip to main content

What matters to patients? A mixed method study of the importance and consideration of oncology patient demands



A patient-centred approach is increasingly the mandate for healthcare delivery, especially with the growing emergence of chronic conditions. A relevant but often overlooked obstacle to delivering person-centred care is the identification and consideration of all demands based on individual experience, not only disease-based requirements. Mindful of this approach, there is a need to explore how patient demands are expressed and considered in healthcare delivery systems.

This study aims to: (i) understand how different types of demands expressed by patients are taken into account in the current delivery systems operated by Health Care Organisations (HCOs); (ii) explore the often overlooked content of specific non-clinical demands (i.e. demands related to interactions between disease treatments and everyday life).


We adopted a mixed method in two cancer centres, representing exemplary cases of organisational transformation: (i) circulation of a questionnaire to assess the importance that breast cancer patients attach to every clinical (C) and non-clinical (NC) demand identified in an exploratory inquiry, and the extent to which each demand has been taken into account based on individual experiences; (ii) a qualitative analysis based on semi-structured interviews exploring the content of specific NC demands.


Further to the way in which the questionnaires were answered (573 answers/680 questionnaires printed) and the semi-structured interviews (36) with cancer patients, results show that NC demands are deemed by patients to be almost as important as C demands (C = 6.53/7 VS. NC = 6.13), but are perceived to be considered to a lesser extent in terms of pathway management (NC = 4.02 VS C = 5.65), with a significant variation depending on the type of non-clinical demands expressed. Five types of NC demands can be identified: demands relating to daily life, alternative medicine, structure of the treatment pathway, administrative and logistic assistance and demands relating to new technologies.


This study shows that HCOs should be able to consider non-clinical demands in addition to those referring to clinical needs. These demands require revision of the healthcare professionals’ mandate and transition from a supply-orientated system towards a demand-driven approach throughout the care pathway. Other sectors have developed hospitality management, mass customisation and personalisation to scale up approaches that could serve as inspiring examples.

Peer Review reports


  • HCOs must increasingly address non-clinical, lifestyle-related patient demands along the entire care pathway.

  • These non-clinical demands are considered important by oncology patients but are not adequately taken into account by HCOs.

  • There are 5 types of non-clinical demands that could be better addressed for oncology patients.

  • The incorporation of these demands into the healthcare structure could be inspired by examples from other service sectors.


With an increasing number of patients affected by chronic conditions, healthcare organisations (HCOs), from primary care clinics to integrated health systems, are compelled to redefine the process and scope of their delivery system and be more patient-centred. This approach means giving organisational responses to all demands expressed by patients along the entire care pathway, including hospitalisation, ambulatory care, transportation to and from nursing home or home) [1]. Nonetheless, the incorporation of all patient demands into the healthcare delivery system poses a challenge. Healthcare delivery systems are mainly designed around diseases and other clinical conditions [2,3,4], and healthcare professionals generally translate patient demands into clinical needs based on their medical knowledge (one such example is personalized medicine where the clinical needs of patients, particularly in terms of therapy, are defined by integrating the molecular and genetic characteristics of the patient) [5,6,7].

However, “non-clinical demands” exist. For instance, the social determinants of a patient (social isolation or financial barriers to care access) can lead to demands being addressed during management of the care pathway (e.g. transportation, home meal delivery services). The integration of these psychosocial needs is a current issue for healthcare delivery systems, in particular for vulnerable patients whose social situation impacts their clinical condition. This can lead to the necessity of identifying high need cost patients [8]. In addition, patients also express demands during the care process based on their preferences - i.e. ideas, expectations, values -, that Patient Centred Care (PCC) experts [9,10,11] have often claimed to be ignored in care delivery systems.

Patients express demands related to aspects of their lives that interact with the management of the disease. This can be helped through administrative procedures or questions regarding adaptation of transportation needs, and a whole set of services generally poorly apprehended during care, and which can be linked to the field of hospitality management [12]. A lack of global consideration for these various types of demands can result in a fragmented healthcare system and an inefficient use of meagre resources [3, 13]. In order to initiate the design and implementation of a demand-driven organisational model, it is necessary to consider and study the content of all non-clinical demands, and their association with clinical demands, an area that has hitherto been investigated to a lesser extent [14, 15].

The purpose of this article is twofold:

  1. (i)

    It initially aims to assess the importance of each demand expressed by patients and the extent to which these demands are taken into account in managing their care pathway. Two categories of demands are defined in support of the analysis: clinical (C), and non-clinical (NC) demands and it is assumed that, as a general rule, greater consideration is given to clinical demands as opposed to non-clinical demands.

  2. (ii)

    The article then seeks to investigate the content of specific non-clinical demands in greater depth.

We use the concept of “demands” rather than “needs” or “unmet needs”, two concepts that are often difficult to define, depending on the context in which they are applied and the disciplines involved [16]. The notion of “demands” departs from these concepts in two ways. Firstly, we concentrate on demands perceived as opposed to expressed, normative and comparative concepts of need [17]. Secondly, demands point to a lack of well-being which might (but need not) indicate an unmet need for care. It follows that the concept of demand does not involve an express need for care. Demands are only a starting point for looking at what patient personally perceive as difficulties and complaints [18].

This research focuses on two Health Care Organisations (HCOs) specialising in oncology. Cancer is a significant example of chronic care, illustrating the need to consider various patient demands. Indeed, cancer patients who are increasingly exposed to chronic conditions are involved in care pathways, which include numerous return trips between home and the health care establishment. They also experience stressful changes in their general health throughout the care continuum. This involves regular updates in the management of their care pathways and ongoing consideration of the interaction between clinical and non-clinical demands.

The two selected HCOs have developed innovative patient paths based on remote patient monitoring systems, including nurse navigators (NNs). The principal role of NNs is to co-ordinate patient management activities. As pathway ambassadors, NNs are in direct contact with patients before, during and after periods of hospitalisation. They must, therefore, pay close attention to all expressed and non-expressed patient demands along the entire care pathway. In so doing, they provide interesting areas of exploration in understanding which demands patients can express along their care pathway and how these are taken into account in the HCO healthcare delivery system.

This study was driven by an inductive clinical reasoning model to better understand how clinical and non-clinical patient demands are integrated in an organizational process. The first step served to understand the importance of all demands (clinical and non-clinical), and then see how these demands were incorporated into current modern health care delivery systems. The results obtained in the first step prompted us to explore the content of non-clinical demands in a second step, which was a deep empirical identification and description of non-clinical demands. Through these 2 steps, we sought to illustrate the usefulness of this analysis for delivering care and services at patient pathway level, while providing additional insight into the consideration of non-clinical demands in the patient-provider relationship during the clinical decision-making process [19, 20].



We developed our study in specific HCOs, namely two cancer centres. HCO 1 is a major cancer centre. In the year of the study (2017), HCO 1 had 414 beds, 14,600 admissions, 6133 consultations and 3314 patients were included in the navigation programme. HCO 2 is a cancer centre including a teaching hospital in western France. In the year of the study, HCO 2 had 103 beds, 7612 admissions and 2867 consultations.

Research design

We adopted a mixed method comprising two phases. Based on exploratory research involving HCO1 and HCO2, we designed a quantitative approach (Phase 1) using a questionnaire to address the first objective (how patient demands are taken into account by healthcare organisations). With regard to the second objective, namely the content of non-clinical demands, we adopted a qualitative analysis (semi-structured interviews) (Phase 2). We adopted a “demand driven” perspective as opposed to “supply driven” one. We started with the evaluation of the patient demands before defining the organizational response, during both phases. In phase 1, HCO 1 is the main field and HCO 2 the field for confirmatory analysis, whereas in phase 2, HCO 1 is the unique field of exploration.

Phase 1. Quantitative phase: analysis of the importance and consideration of patient demands

In phase 1, we assessed the importance of each demand and the extent to which patients perceived that their demand had been taken into account.

Questionnaire design

Based on exploratory interviews and observations of interaction of oncology NNs with patients in both HCOs, and our experience as field experts, we collectively identified 27 general patient demands classified into two types, clinical and non-clinical. For each demand (except the one relating to “anticipated directive” that could not be evaluated), we formulated one question to evaluate the perceived importance and one question to evaluate how it has been taken into account in the HCO. Consequently, the questionnaire comprised 52 items that assess the importance and consideration of each demand based on an 7-item Likert scale (from 1 for “not important at all” or “not taken into account at all” to 7 for “extremely important” or “fully taken into account”) regarding patient characteristics (age, household, income, professional status, SPC (social professional category), education, follow-up period, satisfaction with lifestyle), and ultimately, an open-ended question for potential additional comments (a full version of the questionnaire is appended). The questionnaire was pretested on two patients.

Patient sample

In order to boost the significance of the outcome of the questionnaire, which investigates importance and consideration regardless of condition, we decided to focus this study phase on a specific population: breast cancer patients in a chronic situation. We applied the following inclusion criteria: (i) women aged 18 and over; residing in metropolitan France; (ii) life expectancy of over 6 months confirmed by health professionals, already monitored in the HCO; (iii) participant in one of the innovative follow-up programmes. The following exclusion criteria were applied: (i) non- French speaking patients; (ii) patients who have not yet received cancer treatment (just diagnosed with cancer).

Administration of the questionnaire

On the main site (HCO 1), the self-administered questionnaire was given to patients attending their consultation from 09/05/2017 to 23/05/2017, by nurses from the outpatient consultation service of the oncology department. A ballot box was provided for patients to submit their completed anonymous questionnaires.

On the second site (HCO 2), the questionnaires were given to day hospital, radiology and consultation personnel to be self-administered by patients under the same baseline conditions from 01/06/2017 to 30/09/2017.

Statistical analysis

A descriptive analysis was carried out for each HCO. Number and percentage of the different modalities were used to describe the characteristics of the patients in each HCO (with the exception of age, which was studied using the average). Fisher’s exact tests were used to compare the categorical characteristics between the two HCO, and Wilcoxon tests to compare the age. Wilcoxon test was preferred to a t-test because we wanted to avoid any issues caused by non-normality when designing the study protocol, as the sample size for HCO2 was moderately small. Answers relating to importance and consideration were processed as quantitative scores (from 0 to 7 points), and studied using the average value across the respondents of each HCO separately. Analyses were carried out with R 3.4.3 software.

Phase 2. Qualitative phase: specification of non-clinical demands


In order to specify, in depth, the type of various non-clinical demands, which were identified and evaluated in the previous phase, we conducted semi-structured interviews with patients presenting all types of cancer in order to understand the common content of these demands under different conditions. We carried out this study in HCO 1, applying the same inclusion and exclusion criteria as in Phase 1, from January to March 2018 (KB) and from June to July 2019 (MW).

Data collection

Potential participants were recruited on site by KB and then by MW in the hall of HCO 1. After introducing the study, an appointment was made, mostly for the same day. Semi structured interviews were conducted in a dedicated room in HCO 1 (duration: 1 h on average). They were based on an interview grid listing the previous phase 1 non-clinical demands, with a focus on challenging aspects for the management of care pathways Discussions remained very open. At times it took a very narrative turn, as the patient started to describe their pathways from the beginning to the day of the interview. The interviewer also asked for precisions and examples concerning the different needs encountered at each step of the process.

Data analysis

The 36 interviews were recorded, transcribed in full and analysed gradually as data collection took place. Data analysis followed an inductive process. This included data familiarisation, open coding and definition of categories of demands. To increase validity, three researchers performed the analysis separately, then discussed their results to reach a consensus. First, KB, MW and EM individually read each interview to have a sense of the whole. Then, they identified meaning units composed of specific demands. Each meaning unit was then assigned a code (see related needs. Table 1). The codes were discussed during monthly meetings, which allowed to create a code list of 18 related needs, and classify them in five categories of non-clinical demands expressed by patients. Data collection ceased when no new codes or categories could be identified.

Table 1 5 Categories of Non-Clinical Demands


Phase 1. Analysis of importance/consideration

In HCO 1, the survey covering 26 demands was made available to 613 patients. In total, 114 patients refused to answer or did not comply with the inclusion criteria (patients undergoing screening, non-French speakers, etc.). Overall, 499 questionnaires were completed and submitted.

In HCO 2, 74 questionnaires out of 130 distributed to health professionals were completed and handed in: 44 for radiology, 16 for the day hospital and 14 for consultations.

Characteristics of respondents

Patients from both sites were similar in terms of average age (approximately 55 years of age, p = 0.42) and size of household (number of adults p = 0.40, number of dependent children p = 0.12). Most of them were couples (p = 0.13) without CMU (Universal Health Insurance Cover)(p = 1.00). There were, however, significant differences between the two sites (as HCO 1 patients were generally monitored for longer, p < 0.001), the level of qualification (HCO 1 patients were slightly more qualified, p = 0.01), professional status (a large proportion of HCO 2 patients were on sick leave, p = 0.04) and SPC (social-professional category) (more executives and intellectual professions in HCO 1, p < 0.001) (see Appendix 2).

Comparison between importance and consideration perceived

As a general rule, considerable importance is given to all demands in both HCOs (average: 6.14). Six types of demands nevertheless still appear to be more important than others: adaptation of treatment in line with patient requirements (6.8), pain management (6.7), professional courtesy (6.7), patient information in terms of treatment choice and changes (6.7), respect for intimacy (6.6), the adaptation of paramedical care (6.6) and access to cutting-edge treatments (6.6). These response profiles are similar for both sites (Figs. 1 and 2). One demand is considered less important on both sites: consideration of the patient’s beliefs (4.7). However, it is also the demand that varies the most in terms of importance, depending on the patients concerned (see Fig. 3).

Fig. 1

HCO 1. Results of the importance and consideration given to demands. CF. List of the 26 demands, Appendix 1

Fig. 2

HCO 2. Results of the importance and consideration given to demands. Cf. List of the 26 demands Appendix 1

Fig. 3

Variations in consideration of demands perceived by patients. Cf. List of the 26 demands Appendix 1

In contrast, patients’ opinions regarding the way in which these demands were taken into consideration during their treatment varies to greater extent. Demands which scored highly in this respect are: staff courtesy (6.5), the adaptation of treatment in line with patient requirements (6.3), respect for intimacy (6.3), the fact that professionals provide contact details (6.2) and pain management (6.1). HCO 2 patients mostly found that the adaptation of paramedical care (6.4) and timing adjustments in line with patient requirements (6.1) were given appropriate consideration.

According to patients, less consideration was given to the following requirements: knowledge of tariff options (fees, procedures, accommodation) during hospital stays (3.0), access to legal assistance (3.0), access to administrative assistance (2.9) or social support (2.9), advance knowledge of levels of reimbursement (2.7) and advance availability of tariffs for therapeutic procedures (2.5). A certain variability in responses is noted, which is greater for non-clinical demands particularly when they involve very personal questions relating to care values (e.g. NC13, see Fig. 3).

Results phase 2. In-depth understanding of the content of the non-clinical demands

The patients interviewed during the third phase were mostly women (21/36) between 32 and 72 years of age. The most common type of cancer was gynaecological cancer (14/36) with most patients presenting breast cancer (12/14). A large number of patients received oral chemotherapy (24/36).

These interviews allowed us to classify non-clinical demands according to 5 categories determined by the nature of the demand in response to a specific requirement (see Table 1): 1. Demands related to lifestyle during the treatment period, 2. Demands related to alternative medicine requirements and improved well-being, excluding prescriptions issued by healthcare professionals, 3. Demands related to the organisational aspect of the treatment pathway 4. Demands for administrative and logistic assistance, 5. Demands related to the use of new information and communication technologies (NTIC) and telemedicine. NC demands selected for the questionnaire were included in n°1, n°3, n°4. n°2 and n°5 emerged from phase 2.


Our study highlights two main points.

Firstly, it shows that non-clinical demands expressed by patients actually exist and in some cases are given less consideration than clinical demands in healthcare delivery systems. This finding is consistent with a large body of literature on patient experiences and PCC studying the quality of care from a patient perspective since 1985 [21, 22]. These studies show the importance of developing tools that can assess the patient experience rather than his/her satisfaction, and highlight the importance of considering needs of non-clinical nature (e.g. information about waiting and process time) [23]. Within this first point about non-clinical demands, the current study brings the current study providers two additional observations. It proposes first and foremost an empirical view of these non-clinical demands expressed by patients. Some of these demands may seem very similar to clinical demands, such as the use of alternative medicines, but the observation reports nuances as they are self-managed by patients, without professional involvement. Others represent aspects of everyday life with a chronic disease, a scenario frequently experienced by patients, and a far cry from patient care and clinical treatments issues. Moreover, it highlights the need to consider demands along the entire patient pathway. However, some of these NC demands are largely beyond a patient-physician relationship, such as concerns for transportation or pet-sitting. Other NC demands emphasise the need to manage this physician-patient relationship through new and remote follow-up. In view of these various perspectives, the content of these NC demands gives new insight into the traditional concept of biopsychosocial needs. The latter, defined as the motivation for achieving a satisfactory level of functioning as a human being [24], mainly focuses on care aspects and less on issues relating to everyday life in a disease scenario. More specifically, these demands also consolidate the Patient-Centred care approach by starting from the patient experience of health care delivery schedules [25].

Our results also suggest a variation in importance and experience depending on the patients and their respective demands. This applies to some NC demands in particular (NC3–4–12-17, Fig. 3). Our study stresses the need for customised answers according to the combination of C and NC demands expressed by each patient [2, 13].

Consequently, the second point emphasised by our research concern the need to consider all clinical and non-clinical demands via a customised approach. Our findings therefore questions therefore the role of HCOs in delivering more patient-centred and demand-driven delivery systems. Furthermore, the content of these demands shows that they must be considered along the entire patient pathway, and not only in the provider-patient relationship.

This resonates with well-known approaches in other service sectors, such as hospitality management, which define appropriate practices during the customer relationship in order to respond to their demands [26,27,28], and mass customisation [29, 30] or personalisation to scale [31, 32] proposing specific answers for each customer at affordable cost. However, important challenges have to be overcome if such approaches are to be applied to healthcare. With specific regard to the transfer of hospitality management techniques, the professional mandate must be extended beyond clinical practices. Although the structured response to customers’ demands of all types is clearly aligned in the healthcare sector [33,34,35], these pioneering experiences remain isolated, calling for a review of the healthcare professionals’ mandate. Some non-clinical demands are not taken into account appropriately. Logically, the distinction between those demands would seem to correspond to different healthcare priorities. However, our results highlight nuances in terms of this assumption. Some of the non-clinical demands such as “courtesy”, “intimacy” and “identification” appear to be taken into account in HCOs. These NC demands are not connected to clinical demands, but they imply the direct relationship with caregivers who generally believed these practices to be aligned with their clinical “mandate” [36, 37]. The boundaries for considering such practices within the healthcare spectrum have already been studied [38, 39], and resonate with the conventional debate between care and cure [40]. Modern activities highlight the need to develop practices more in line with these patient demands.

Development of a customised care model also requires consideration of segmentation analysis methods to incorporate clinical and non-clinical demands from a common as opposed to a primarily disease-based perspective [2, 41]. But less explicitly, it also requires answers to specific organisational questions: from fabrication (i.e. ensuring that production meets each demand), to assembly (i.e. “modular” service structures capable of combining in a flexible manner the multiple products and services required by the combination of demands), and distribution (i.e. co-ordination and integration of various assembly structures to ensure the timely delivery of a given service to the patient) [29, 42,43,44]. The fabrication of non-clinical demands can generate new services such as concierge services in HCOs [33,34,35,36,37,38,39,40,41,42,43,44,45]. Although some attempts have been made to incorporate specific “fabrication” steps or to combine services in a “modular package” [46], there is no integrative system as far as we are aware. The transition from a supply-oriented delivery system to a demand-driven approach would require further investigations in this direction.

This study has some limitations. First, in order to produce questionnaires that seemed, according to our experience in HCO1, not too long, we had to merge a certain number of situations into one main criterion (e.g. intimacy). This has led to a certain number of differences being overlooked. These differences were highlighted in conjunction with phase 2 patient interviews. Second, the study took place in two hospitals in France. This may not seem enough to assess the taking into consideration of patient demands by healthcare organization. In fact, the perception patients have on how diverse demands (including demands concerning information about organizational characteristics) are taken into consideration depends more on healthcare teams in the numerous wards concerned than on the central administration of HCOs. Third, in the first step, Non-clinical demands have been studied in in a specific case, namely breast cancer. The focus made the questionnaire more significant. However, some non-clinical demands can be disease-specific, limiting then the scope of the results. Although it represents an exemplary case in which the patient potentially expresses numerous requirements, it is worthy of being investigated in other contexts. That is why we included patients suffering from all types of cancer in the second step of the study. Last, it may seem counter-intuitive to specify the content of the demands (qualitative phase) after the questionnaire. In our case, this is linked to the research strategy adopted, namely to address, first, the consideration of different demands. The observation that numerous NC demands are not taken into account has led to a more in-depth study of their content. Our approach highlights the need to fluctuate between qualitative and quantitative research from a patient perspective.


To our knowledge, this is the first empirical study that has examined the consideration of various patient demands in healthcare delivery systems. Our typology of five non-clinical demands is also an initial step to providing a better understanding of various patient preferences and demands beyond the clinical sphere. Given our focus on oncology, we encourage researchers to examine this issue in relation to other chronic conditions such as diabetes or cardiovascular diseases. The nascent and heterogeneous state of knowledge in this area is also challenging in order to make summative findings at this point based on this single research project. However, our study highlights the fact that invisible demands should be identified more clearly and integrated in a segmentation analysis of patient needs and individualised responses in order to develop new demand-driven and patient-centred approaches.

Availability of data and materials

The data sets used and analysed in this study are available from the corresponding author on reasonable request.



Healthcare organisation






Patient centered care


  1. 1.

    Gabutti I, Mascia D, Cicchetti A. Exploring « patient-centered » hospitals: a systematic review to understand change. BMC Health Serv Res. 2017;17(1):364.

    Article  PubMed  PubMed Central  Google Scholar 

  2. 2.

    van der Laan MR E, van Offenbeek MAG, Broekhuis H, Slaets JPJ. A person-centred segmentation study in elderly care: Towards efficient demand-driven care. Soc Sci Med. 2014;113:68–76.

    Article  Google Scholar 

  3. 3.

    Lillrank P, Groop PJ, Malmström TJ. Demand and supply–based operating modes—a framework for analyzing health care service production. Milbank Q. 2010;88(4):595–615.

    Article  PubMed  PubMed Central  Google Scholar 

  4. 4.

    Bate P, Robert G. Experience-based design: from redesigning the system around the patient to co-designing services with the patient. Qual Saf Health Care. 2006;15(5):307–10.

    Article  PubMed  PubMed Central  Google Scholar 

  5. 5.

    Hamburg MA, Collins FS. The path to personalized medicine. N Engl J Med. 2010;363(4):301–4.

    CAS  Article  PubMed  Google Scholar 

  6. 6.

    National Research Council (US) Committee on A Framework for Developing a New Taxonomy of Disease. Toward Precision Medicine: Building a Knowledge Network for Biomedical Research and a New Taxonomy of Disease. Washington: National Academies Press (US); 2011. p. 142. [cité 24 mars 2020] (The National Academies Collection: Reports funded by National Institutes of Health). Disponible sur:

    Google Scholar 

  7. 7.

    Mirnezami R, Nicholson J, Darzi A. Preparing for precision medicine. N Engl J Med. 2012;366(6):489–91.

    Article  PubMed  Google Scholar 

  8. 8.

    Blumenthal D, Chernof B, Fulmer T, Lumpkin J, Selberg J. Caring for high-need, high-cost patients - an urgent priority. N Engl J Med. 2016;375(10):909–11.

    Article  PubMed  Google Scholar 

  9. 9.

    Bardes CL. Defining « patient-centered medicine ». N Engl J Med. 2012;366(9):782–3.

    CAS  Article  PubMed  Google Scholar 

  10. 10.

    Kogan AC, Wilber K, Mosqueda L. Person-centered Care for Older Adults with chronic conditions and functional impairment: a systematic literature review. J Am Geriatr Soc. 2016;64(1):e1–7.

    Article  PubMed  Google Scholar 

  11. 11.

    Barry MJ, Edgman-Levitan S. Shared decision making — the pinnacle patient-centered care. N Engl J Med. 2012;366(9):780–1.

    CAS  Article  PubMed  Google Scholar 

  12. 12.

    Kimberly R, Minvielle E. Can Health Care Be “Built to Order”?—Making the Shift Toward Customized Care. NEJM Catalyst. 2017;3(4).

  13. 13.

    Minvielle E, Waelli M, Sicotte C, Kimberly JR. Managing customization in health care: a framework derived from the services sector literature. Health Policy. 2014;117(2):216–27.

    Article  PubMed  Google Scholar 

  14. 14.

    Brédart A, Anota A, Dick J, Kuboth V, Lareyre O, De Pauw A, et al. Patient-centered Care in Breast Cancer Genetic Clinics. Int J Environ Res Public Health. 2018;15(2):319.

    Article  PubMed Central  Google Scholar 

  15. 15.

    Coulter A. Measuring what matters to patients. BMJ. 2017;356:j816.

    Article  Google Scholar 

  16. 16.

    Aoun S, Pennebaker D, Wood C. Assessing population need for mental health care: a review of approaches and predictors. Ment Health Serv Res. 2004;6(1):33–46.

    Article  PubMed  Google Scholar 

  17. 17.

    Bradshaw J. The contextualisation and measurement of need: a social policy perspective. In: Popay J, Williams G, editors. Researching the People’s Health. London: Routledge; 1994. p. 45–57.

    Google Scholar 

  18. 18.

    Sullivan M. The new subjective medicine: taking the patient’s point of view on health care and health. Soc Sci Med. 2003;56(7):1595–604.

    Article  PubMed  Google Scholar 

  19. 19.

    Elissen AMJ, Duimel-Peeters IGP, Spreeuwenberg C, Spreeuwenberg M, Vrijhoef HJM. Toward tailored disease management for type 2 diabetes. Am J Manag Care. 2012;18(10):619–30.

    PubMed  Google Scholar 

  20. 20.

    Lang E, Bell NR, Dickinson JA, Grad R, Kasperavicius D, Moore AE, et al. Eliciting patient values and preferences to inform shared decision making in preventive screening. Can Fam Physician Med Fam Can. 2018;64(1):28–31.

    Google Scholar 

  21. 21.

    van Campen C, Sixma H, Friele RD, Kerssens JJ, Peters L. QUality of care and patient satisfaction: areview of measuring instruments. Med Care Res Rev. 1995;52(1):109–33.

    Article  PubMed  Google Scholar 

  22. 22.

    Oh J, Cho H, Kim YY, Park HJ, Kim HK. An integrative review on development of "quality of care throught the patients' eyes" (QUOTE) instruments. J Nurs Care Qual. 2015;30(4):E26–31.

    Article  PubMed  Google Scholar 

  23. 23.

    de Kok M, Van de Weijden T, Kessels AG, et al. Patients' opinions on quality of care before and after implementation of a short stay programme following breast cancer surgery. Breast. 2010;19(5):404–9.

    Article  PubMed  Google Scholar 

  24. 24.

    Tay L, Diener E. Needs and subjective well-being around the world. J Pers Soc Psychol. 2011;101(2):354–65.

    Article  PubMed  Google Scholar 

  25. 25.

    Mohammed K, Nolan MB, Rajjo T, Shah ND, Prokop LJ, Varkey P, Murad MH. Creating a patient-centered health care delivery system: a systematic review of health care quality from the patient perspective. Am J Med Qual. 2016;31(1):12–21.

    Article  PubMed  Google Scholar 

  26. 26.

    Buhalis D, Law R. Progress in information technology and tourism management: 20 years on and 10 years after the internet—the state of eTourism research. Tour Manag. 2008;29(4):609–23.

    Article  Google Scholar 

  27. 27.

    Rust RT, Miu C. What academic research tells us about service. Assoc Comput Mach. 2006;49(7):49–54.

    Google Scholar 

  28. 28.

    Melián-González S, Bulchand-Gidumal J. A model that connects information technology and hotel performance. Tour Manag. 2016;53:30–7.

    Article  Google Scholar 

  29. 29.

    Pine BJ II. Mass customisation: the new frontier in business competition. Boston: Harvard Business School Press; 1993. 333 p.

    Google Scholar 

  30. 30.

    Davis S. Future Perfect. 1st ed. Reading: Addison-Wesley; 1987. p. 243.

    Google Scholar 

  31. 31.

    Lampel J, Mintzberg H. Customizing customization. Sloan Manag Rev. 1996;38(1):21–31.

    Google Scholar 

  32. 32.

    Minvielle E. L’organisation du travail à l’hopital : Gérer la singularité à grande échelle. Rev Fr Gest. 1996;109:114–24.

    Google Scholar 

  33. 33.

    Russell-Bennett R, Glavas C, Previte J, Härtel CEJ, Smith G. Designing a medicalized wellness service: balancing hospitality and hospital features. Serv Ind J. 2017;37(9–10):657–80.

    Article  Google Scholar 

  34. 34.

    Suess C, Mody M. The influence of hospitable design and service on patient responses. Serv Ind J. 2018;38(1–2):127–47.

    Article  Google Scholar 

  35. 35.

    Justesen L, Gyimóthy S, Mikkelsen BE. Hospitality within hospital meals—socio-material assemblages. J Foodserv Bus Res. 2016;19(3):255–71.

    Article  Google Scholar 

  36. 36.

    Allen D. The invisible work of nurses: hospitals, organisation and healthcare. London: Routledge; 2014. 171 p.

    Book  Google Scholar 

  37. 37.

    Hughes EC. The sociological eye: selected papers, vol. 1. Chicago: Aldine-Atherton; 1971. p. 584.

    Google Scholar 

  38. 38.

    Doolin B. Enterprise discourse, professional identity and the organizational control of hospital clinicians. Organ Stud. 2002;23(3):369–90.

    Article  Google Scholar 

  39. 39.

    Lega F, De Pietro C. Converging patterns in hospital organization: beyond the professional bureaucracy. Health Policy. 2005;74(3):261–81.

    Article  PubMed  Google Scholar 

  40. 40.

    Glouberman S, Mintzberg H. Managing the care of health and the cure of disease--part I: differentiation. Health Care Manag Rev. 2001;26(1):32.

    Google Scholar 

  41. 41.

    Wessels H, de Graeff A, Wynia K, Sixma HJ, de Heus M, Schipper M, Woltjer GTGJ, Teunissen SCCM, Voest EE. Medical oncology patients’ preferences with regard to health care: development of a patient-driven questionnaire. Ann Oncol Off J Eur Soc Med Oncol. 2009;20(10):1708–13.

    CAS  Article  Google Scholar 

  42. 42.

    Da Silveira G, Borenstein D, Fogliatto FS. Mass customization: literature review and research directions. Int J Prod Econ. 2001;72(1):1–13.

    Article  Google Scholar 

  43. 43.

    Fogliatto FS, da Silveira GJC, Borenstein D. The mass customization decade: an updated review of the literature. Int J Prod Econ. 2012;138(1):14–25.

    Article  Google Scholar 

  44. 44.

    Kotha S. Mass customization: implementing the emerging paradigm for competitive advantage. Strateg Manag J. 1995;16(S1):21–42.

    Article  Google Scholar 

  45. 45.

    Suess C, Mody M. Hospitality healthscapes: a conjoint analysis approach to understanding patient responses to hotel-like hospital rooms. Int J Hosp Manag. 2017;61:59–72.

    Article  Google Scholar 

  46. 46.

    de Blok C, Luijkx K, Meijboom B, Schols J. Improving long-term care provision: towards demand-based care by means of modularity. BMC Health Serv Res. 2010;10(1):278.

    Article  PubMed  PubMed Central  Google Scholar 

Download references


We would like to acknowledge the healthcare professionals at both HCOs involved as well as Aude Fourcade and Marie Ferrua for their assistance in the data collection process.


This work was supported by the “Fondation de l’Avenir” and the INCA (RISP15-012_AM). The funder had no role in the study; Neither in the writing of the manuscript; or the decision to submit this manuscript for publication.

Author information




MW and EM designed the study. MW EM and BL designed the survey with the help of MXA. BL provided the statistical analysis. MW, EM and KB designed the qualitative inquiry and analysed qualitative data. MW and KB performed the qualitative inquiry. MW drafted the article with the contribution of EM and BL. All authors approved the final manuscript.

Corresponding author

Correspondence to Mathias WAELLI.

Ethics declarations

Ethics approval and consent to participate

Each investigation required an administrative authorisation from the HCOs, which we obtained in both cases. Participation was entirely voluntary and informed patient verbal consent was obtained systematically, as approved by the CNIL (French Data Protection Agency) (2046615).

Consent for publication

Non Applicable.

Competing interests

The authors have no competing interests to declare.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.


Appendix 1

Table 2 List of the 26 demands identified

Appendix 2

Table 3 Characteristics of the respondents to the questionnaire survey

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

WAELLI, M., Minvielle, E., Acero, M.X. et al. What matters to patients? A mixed method study of the importance and consideration of oncology patient demands. BMC Health Serv Res 21, 256 (2021).

Download citation


  • Patient demands
  • Organisation
  • Oncology
  • Patient-centred care
  • Care customisation