Skip to main content
  • Research article
  • Open access
  • Published:

How is patient involvement measured in patient centeredness scales for health professionals? A systematic review of their measurement properties and content



Patient centeredness is an important component of patient care and healthcare quality. Several scales exist to measure patient centeredness, and previous literature provides a critical appraisal of their measurement properties. However, limited knowledge exists regarding the content of the various scales in terms of what type of patient centeredness they represent and how they can be used for quality improvement. The aim of this study was to explore the measurement properties of patient centeredness scales and their content with a special focus on patient involvement, and assess whether and how they can be used for quality improvement.


A systematic review of patient centeredness scales was conducted in Medline, CINAHL, Embase, and SCOPUS in April and May 2017. Inclusion criteria were limited to articles written in English published from 2005 to 2017. Eligible studies were critically appraised in terms of internal consistency and reliability, as well as their content, structural, and cross-cultural validity. Type of studies included were scale-development articles and validation studies of relevant scales, with healthcare personnel as respondents. We used directed content analysis to categorize the scales and items according to Tritter’s conceptual framework for patient and public involvement.


Eleven scales reported in 22 articles were included. Most scales represented individual, indirect, and reactive patient involvement. Most scales included items that did not reflect patient centeredness directly, but rather organizational preconditions for patient centered practices. None of the scales included items explicitly reflecting the use of patient experiences of quality improvement.


There is a lack of patient centeredness scales focusing on direct and proactive involvement of patients in quality improvement. It would be useful to develop such instruments to further study the role of patient involvement in quality improvement in healthcare. Furthermore, they could be used as important tools in quality improvement interventions.

Peer Review reports


The Institute of Medicine regards patient centered care and patient experiences as one of six dimensions of healthcare quality [1], and it is extensively addressed in the research literature [2]. The concept of patient centered care has received widespread attention in the scientific arena since the mid-1950s [3]. However, it became embedded in healthcare policies and regulations in several developed countries only at the turn of the millennium [4,5,6,7]. Although the focus on patient centered care has increased, the rationale, measurement, and implementation of strategies to improve patient centered care or to use patient experiences for quality improvement purposes have been widely debated [3, 8].

The Institute of Medicine defines patient centeredness as “providing care that is respectful of and responsive to individual patient preferences, needs, and values and ensuring that patient values guide all clinical decisions” [1]. However, the growing number of studies on this concept are inconsistent in terms of definitions, labels, understandings, and measures of patient centeredness [9]. Patient centeredness is, depending on the context, often used interchangeably with terms such as client-centered, user-centered, or person-centered [10]. Patient involvement is often mentioned as a condition for patient centeredness and seen as a strategy to achieve a patient-centered care [10]. Others consider patient involvement to be a dimension of patient centeredness [11]. In any case, patient involvement is higly related with patient centeredness and the concepts should be seen as interrelated rather than as independent from each other [10]. We consider patient involvement an important dimension of patient centeredness, and scales addressing the latter should also include some aspects of patient involvement.

Several measurement scales exist to measure patient centeredness from patients’ perspective [12]. Previous reviews of patient centered measurement scales have focused mainly on the measurement properties of instruments with little or no qualitative content analysis of the scales [12,13,14,15]. Two narrative reviews of the measures of person-centered care [14, 15] also lack a critical scrutiny of the research underpinning the included measurements. The purpose of Wilberforce et al.’s [13] systematic review was to identify, describe, and critically appraise measures of person-centeredness relevant to the long-term care of older people. The current review focuses on the measures of patient-centeredness from the staff members’ perspective, not limited to older adults, but validated in healthcare settings. Identifying and evaluating questionnaire-based scales from the staffs’ perspective has important practical implications. Health professionals are a key stakeholder in quality improvement work and often the target of quality improvement interventions utilizing pre- and post-intervention surveys. Furthermore, the field of quality and safety in healthcare is continuously expanding; thus, new measures were available since the previous reviews were published. Most importantly, none of the previous reviews have conducted a content analysis to explore the content of the scales in terms of what type of involvement they represent. To our knowledge, no previous studies have explored the content of patient centeredness scales in terms of whether and how patient involvement is represented.

The current review will be based on Tritter’s [16] definition of and conceptual framework for patient and public involvement (PPI), focusing on the patient involvement part. Tritter [16] has proposed a framework of ‘patient and public involvement (PPI)’ which he defines as “the ways in which patients can draw on their experience and members of the public can apply their priorities to the evaluation, development, organization and delivery of health services.” This definition emphasizes the potential of considering patients’ experiences in quality improvement work, which is specified by Tritter [16] as involvement that has an impact on healthcare practice, professional cultures, or organizational policy. Tritter [16] suggested three dimensions of involvement: a) direct or indirect, b) individual or collective, and c) reactive or proactive. Direct involvement refers to patients or the public taking part in actual decision-making, such as deciding what treatment to use (individual direct involvement) or being part of a support group in designing a new treatment (collective direct involvement). Indirect involvement implies gathering information through patient experience surveys or reports from support groups, for example; however, it is up to the health professionals to decide whether or how to act upon this information. Reactive involvement implies that patients or the public are responding to a pre-existing agenda while proactive involvement implies that they contribute to shaping the agenda.

Based on previous reviews and our understanding of patient involvement as an important dimension of patient-centredness, we argue that there is a lack of scales that measure solely patient involvement and do so from the perspective of healthcare personnel [17]. We originally planned to review patient involvement scales with health professionals as respondents, but a preliminary search in scientific databases revealed a lack of studies reporting on this. Therefore, we decided to review patient centeredness scales. The aims of this study were to 1) conduct a quality appraisal focusing on the measurement properties of patient centeredness scales for healthcare professionals, 2) explore the content of the scales in terms of whether and how patient involvement is represented according to the PPI conceptual framework, and 3) explore whether the scales reflect patient involvement in quality improvement practices. More specifically, we explored the degree to which scales and specific items designed to measure patient centeredness included aspects of individual involvement or collective involvement as well as whether the involvement was direct or indirect and reactive or proactive, according to Tritter’s [16] conceptual framework. We also explored whether the scales reflected patient involvement in quality improvement practices.



We conducted a systematic review using the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) check-list [18].

Search strategy

We searched the following databases: Medline, CINAHL, Embase, and Scopus. A combination of keywords, mesh-terms, and subject headings was used in all searches. The searches in the databases were structured around three main concepts: psychometrics, patient-centeredness and involvement, and quality improvement. Regarding patient centeredness, in addition to patient-, we used the pre-fixes person- and client- along with the suffixes –involvement, centeredness, centered care, oriented, participation, and experiences, in addition to individual* care (UK and US spelling) (see Additional file 1 for description of the systematic search strategy). Terms related to psychometrics, such as validity and reliability, were used to ensure that the articles reported on measurement scales. To identify articles relevant for quality and safety in healthcare, we used the following terms: quality improvement, quality of healthcare, and patient safety. Each search was adapted to the specific database used according to mesh-terms. All authors met to discuss and revise the search strategy several times before deciding on the final search. A research librarian assisted with the technical parts of the search. Because the concept of patient centeredness and patient involvement in healthcare has developed considerably in the last decade [17], with increasing focus on the patient as a key actor in healthcare, and to manage the volume of articles identified, the search was limited to articles in English published as of 2005. Furthermore, we screened the reference lists of the included articles and previous reviews to reveal if there were relevant scales published before 2005 that needed to be included.

Study selection and eligibility criteria

The first electronic search was undertaken in April 2017 and updated in May 2017. Once duplicates were removed, two researchers (ER and MS) assessed titles and abstracts of the identified articles independently, and they retrieved the articles that were considered eligible for full screening (see Fig. 1). Uncertainty emerged concerning the inclusion of six of the articles; thus, a third researcher (SW) was involved in discussions of these until consensus was reached.

Three eligibility criteria guided the selection of articles. First, selected articles had to report on the development and/or validation of questionnaire-based measurement scales. Second, the scales had to represent the perspective of health personnel. Third, the scales had to measure patient centeredness or involvement in healthcare settings. However, disease specific scales, highly consultation specific tools that doctors use to map his/her patients’ needs or preferences, scales that were not fully developed or validated, and studies that included respondents other than health personnel or those that did not focus on patient centeredness were excluded from the analysis. We also excluded administrative checklist tools that are used in practice, for example to map the status quo regarding patient centeredness practices in an organization, and are not suitable to be used as measurement scales in research [19].

Data extraction and critical appraisal

For the critical appraisal of the methodological quality of the 22 included studies, we evaluated the quality of measurement properties using five of the seven criteria applied by Wilberforce et al. [13]. Specifically, we assessed the instruments’ internal consistency, its reliability, as well as its content, structural, and cross-cultural validity. We considered these as clear criteria for assessing measurement properties against established thresholds of acceptability, and using the same approach as Wilberforce et al. [13] will also allow comparison of results. We did not include the two measurement properties “measurement error” and “hypothesis testing”. We argue that these are not standard quality indicators for measurement scales. For example, measurement error is usually very difficult to calculate, and we would not gain much information for the review from this rating. Many of the included articles are scale development articles, in which hypothesis testing is not relevant.

We compared each instruments’ measurement properties against established acceptability thresholds. Based on our initial coding experience, we decided to score internal consistency for the overall scale and its sub-scales separately. All studies were scored as either meeting (+) or not meeting (−) the threshold for acceptability (Table 1) or as not reporting results on a criterion (NR). To ensure a fair comparison between studies, we added “not applicable” (NA) as a coding option, since some studies did not meet all criteria (e.g., cross-cultural validity in initial scale development studies and content validity of translated versions of the original scale). Two members of the research team (MS, TM) who independently reviewed all studies conducted the critical appraisal. All discrepancies were then discussed with a third research team member (ER) after which a consensus rating was obtained. Furthermore, we extracted data on subscales, study setting and the articles’ use of a conceptual framework (Table 2). Regarding the latter, we were open as to which specific framework was used. However, we deemed it important that the study did use a conceptual framework, definitions or operationalizations that were used when developing the scales.

Table 1 Quality criteria and thresholds of acceptability for measurement properties (adapted from Wilberforce et al., 2016)

Content analysis

The instruments and items were categorized according to Tritter’s [16] conceptual framework (individual vs collective involvement, and reactive vs. proactive involvement) using directed content analysis [20]. More specifically, ER and MS reviewed individual items from each instrument and determined to which of Tritter’s categories they belonged. Furthermore, ER and MS assessed instruments according to whether they reflected patient involvement in quality improvement practices, i.e., whether patients are actually involved in developing or changing service practices related to quality. SW was included in the final round of discussions based on which agreement about categorization was reached.


Study selection

Out of 1628 titles, 142 were retained for abstract screening (see Fig. 1) and 46 of these were retained for full-text screening. Twenty articles from the systematic search were retained in the review. In addition, two articles were found and retained through screening of the reference lists in two of the included articles. The reference lists of previous literature reviews on patient centeredness scales were also screened, but no relevant articles that had not already been captured in our search were found.

Fig. 1
figure 1

PRISMA flowchart of article selection

Descriptive information of the included scales

The review identified 11 instruments reported in 22 articles. The descriptive information of the included scales and articles is presented in Table 2, including scale information, study populations, settings, and use of a conceptual framework. Scale abbreviations are also explained in Table 2.

Table 2 Overview of included instruments

Although all included instruments measured patient centeredness, the articles differed in conceptualization and use of conceptual frameworks. Some defined patient centeredness as a holistic concept and measured different kinds of patient centered care (ICS-N) [21] while others focused on organizational preconditions for patient-centered care (PCQ-S) [22] or a combination of patient centered care and preconditions (e.g., PCC [23], P-CAT [24], PCHCOA [25], PC-PAL [26]. Few articles explicitly used a conceptual framework to support the development of the instruments. Most of them conducted a review of the literature to develop a definition and identify the elements that should be included in the instrument development.

Quality appraisal

The results of the quality appraisal of the 22 studies are presented in Table 3. The appraisal procedure revealed variation in the reporting of the key measurement properties across the studies. Internal consistencies of either subscales, total scale, or both were reported in twenty studies (91%), with the exception for the PCC [23] for which internal consistencies of subscales or total scales were not reported. Fifteen studies (68%) received high quality (+ rating) for internal consistency for total scale while six studies (27%) did not report on this measure [23, 27,28,29,30,31]. Reliability received high quality (+ rating) in six studies [21, 26, 30, 32,33,34], and low quality (− rating) in five studies (23%). Ten studies (45%) did not report reliability. Eleven scale development studies (50%) measured content validity, with eight studies (36%) receiving high quality (+ rating) [21,22,23,24,25, 30, 31, 35]. Structural validity was reported in 19 studies (86%), with fifteen studies (15%) reporting high quality (+ rating) with factors explaining 50% of variance. Cross-cultural validity was not applicable in eleven scale development studies, and only received high quality (+ rating) in four studies (18%) [29, 36,37,38].

Table 3 Quality appraisal

Categorization according to Tritter’s conceptual framework

In Table 4, we have categorized the scales according to Tritter’s [16] conceptual framework for patient and public involvement. The main types of involvement in the majority of the scales are individual, indirect, and reactive involvement. When categorizing the items, several of them did not fit into any of the categories. Some of them did not reflect patient centeredness or involvement at all; thus, they could not be categorized, and some of them represented individual (e.g., staff attitudes), organizational (e.g., available resources), or environmental (e.g. work environment, climate) preconditions for patient involvement or patient centered practices. The preconditions are items reflecting contextual factors or conditions that either facilitate or are necessary for patient involvement. Two additional rows were added to Table 4 for items that did not fit Tritter’s [16] framework.

Table 4 Categorization according to Tritter’s (2009) Framework

The items in PCQ [22] assess the workplace climate rather than involvement, focusing more on staff members than on the patients (e.g., “a place where I feel welcome”). Although some items, such as “a place where it is easy for the patients to talk to the staff,” focus on the patients, they do not include elements of involvement. PCQ is the only instrument in which all items represent preconditions for involvement. All of the included instruments in the review contained items reflecting different forms of preconditions.

The PCCC [39] contains items measuring individual involvement, both direct and indirect and reactive and proactive involvement. An example of individual direct and proactive involvement is, “engage patients or designated surrogates in active partnerships that promote health, safety and well-being, and self-care management.” The scale measures several types of preconditions for involvement, for example, “value seeing health-care situations through patients’ eyes” (staff attitude as precondition for patient-centeredness).

Most items in PCHCOA [25] represent individual preconditions for involvement, such as staff members’ attitudes and competencies, among others (e.g., “I am supported to develop skills I need to work with older people”). Several items also measure individual indirect and reactive involvement (e.g., “My/our care plans are structured around service user’s goal”) but only three measure direct and proactive involvement (e.g., “The needs and preferences of service users should be central in health services”).

Most P-CAT items [24] represent environmental and organizational preconditions for involvement (e.g., “the organization prevents me from providing person-centered care”). An example of individual indirect and proactive involvement is, “we are free to alter work routines based on residents’ preferences.” This scale does not have items measuring collective involvement.

Individual reactive involvement constitutes the main type of involvement in ICS-N [21]. Both direct and indirect involvement are represented, but with a predominance of the latter. Items measuring direct involvement are mainly reflected in the “Clin-B-Nurse” dimension, concerning nurses’ perceptions of individuality in care provided. An example of individual indirect and reactive involvement is, “I talk with patients about the feelings they have about their illness/health condition.” No items measure collective involvement, and only a few represent individual preconditions for involvement (e.g., “I give instructions to patients using language that is easy to understand”).

Many of the items in PDC [31] represent different forms of preconditions for involvement, including all items in the “knowing the person” dimension (e.g., “know their fears and worries”). This is the only scale with a strong focus on direct involvement compared to indirect involvement, with equal representation of items measuring reactive and proactive involvement. The “autonomy” dimension constitutes most of the items measuring direct and proactive involvement (e.g., “help develop and update care plans, service plans/task lists”).

Two thirds of the items in the SEPCQ-27 [32] represent individual preconditions for involvement (e.g., “make the patient feel that I have time to listen”). No items assess collective or proactive involvement, and only two items measure direct involvement. Besides the preconditions, most items measure individual indirect and reactive involvement (e.g., “reach agreement with the patient about the treatment plan to be implemented”).

The vast majority of items in the PC-PAL–staff version [26] represent different forms for preconditions, most of them belonging to the “workplace practices” dimension (e.g., I’ve received training that helps me assist residents according to their personal preferences and goals). The remaining items reflect mainly individual indirect involvement, with reactive and proactive involvement being equally represented. An example of collective direct and proactive involvement is “residents can suggest, organize, or lead activities and events”.

Most items in ICI [30] refer to individual preconditions for involvement (e.g., “I read the social histories of resident care plans”). The remaining items reflect mostly individual indirect involvement with an even split between reactive and proactive involvement. The item, “feel that you are able to allow the residents that you look after to make decisions for themselves,” is an example of direct proactive involvement.

Besides the three items related to preconditions for involvement, all items in the PCC [23] measure individual involvement, with the majority being indirect and reactive (e.g., “assess patients health values and goals”), although proactive involvement is also measured to some degree. An example of direct proactive involvement is, “provide the chosen treatment option or self-management strategy”.

Most items in the GCES [35] refer to preconditions for involvement (e.g., “lack of specialized services for older adults”). Many of the remaining items were difficult to categorize, as they did not represent any form of involvement or preconditions for involvement (e.g., “differences of opinion among staff (between disciplines) regarding common geriatric problems”). Most of the items that were categorized assessed individual reactive involvement (e.g., “older adults receive the information they need to make decisions about their care”) while none measured proactive involvement.

None of the instruments included items assessing explicitly the use of patients’ experiences for quality improvement. Five of the instruments included some items that might represent possibilities for patients to affect quality practices. However, in all cases where such items were included, they represented indirect involvement in that staff members were required to make suggestions based on their experiences with patient care or input from patients. The following items represents possibilities for patients to influence quality improvement practices:

  • Tell my supervisors about the need to change a procedure or practice that is no longer working for resident care (ICI)

  • Play a part in the making of facility procedures and practices (ICI)

  • Policies and practices for the assisted living community are decided without residents’ input (PC-PAL)Footnote 1

  • Engage patients or designated surrogates in active partnerships that promote health, safety and well-being, and self-care management (PCCC)

  • Input from staff is sought in determining policies and guidelines about geriatric care (GCES)

  • Help develop and update care plans, service plans/task lists (PDC)


Eleven instruments administered to health professionals in different contexts such as hospitals, rehabilitation centers, long-term aged care facilities, inpatients wards, acute care, assisted living, and home care settings, were identified in this review. The analysis of the instruments’ content revealed different types of involvement across the included instruments and items. When categorized according to Tritter’s [16] framework, individual-, indirect-, and reactive involvement were the main types of involvement represented in most scales. Tritter’s [16] framework was not used as a conceptual framework for scale development in any of the articles included in this review. This might explain the lack of items measuring direct and proactive involvement and involvement at a system level, and that several of the items do not fit Tritter’s [16] framework. Patient centeredness scales are not designed to solely measure patient involvement, but we argue that they need to include items that represent patient involvement in order to reflect the interconnectedness between the two constructs. The findings are nevertheless in accordance with Tritter’s [16] model, in that indirect involvement represents the vast majority of involvement activity in healthcare settings.

When analyzing the scales, it became apparent that most scales contained dimensions or items that did not measure actual patient involvement or patient centeredness but rather preconditions for involvement, such as climate and organizational facilitators or barriers. Furthermore, few studies included items explicitly measuring the use of patient experiences for quality improvement. In scales where items reflected possibilities for involvement in such practices, they represented indirect involvement that required the staff members to make suggestions regarding the system development based on their experiences with patient care. This finding might suggest that the recent call for more active involvement of patients in quality and safety improvement [40] needs more attention, especially regarding development of measurement scales reflecting this type of involvement [17]. There is a trend to use measures of patient involvement as part of continuous quality improvement [17, 41], and several studies highlight the benefits of patient involvement in quality and safety in healthcare settings [42,43,44]. Our results are in line with a recent systematic review concluding that there is a need for valid and reliable strategies for measuring patient involvement as part of continuous quality improvement [17].

Patient involvement in quality improvement goes beyond assessing patients’ experiences of healthcare service and give them possibilities to participate and make decisions concerning their own care [3]. However, in line with our findings, the focus of most studies has primarily been on asking patients what was good or bad with the care they received [45]. Our review supports the notion that relevant tools for healthcare professionals and measurements for using patient experiences in quality improvement are lacking [46]. This is partly due to the lack of consensus regarding how patients can be involved in quality improvement. If we do not know how to involve the patients, it is difficult to know how to measure it. Despite the lack of items explicitly measuring patient involvement in relation to quality improvement practices, patient involvement in their own care and staff listening to patients’ voices (as measured in several of the included instruments in this review) might indirectly affect quality improvement. That is, if staff and management use patients’ experiences to guide quality and patient safety practices. Furthermore, although the different forms of preconditions identified in this review did not fit in to Tritter’s [16] framework, they are still important for making patient-centered practices and patient involvement possible. Davies and Cleary [47] provided several examples of how organizational factors (e.g., lack of supporting values, lack of a quality improvement infrastructure) hinder the use of patient survey data for quality improvement purposes. Such factors also hinder patient centered practices and possibilities for patients to be involved in quality improvement. Therefore, it is important to include them in instruments concerning patient centeredness. Climate and other workplace factors are important for whether and how patients are involved, as well as of the degree to which staff and management are engaged, motivated, and focused on involving patients in healthcare quality improvement.

Strengths and limitations

The quality of this systematic review was strengthened through close cooperation with a specialized librarian in the search for relevant literature; close cooperation among authors regarding the screening of title, abstract, and full-text as well as the content analysis of the scales; and the critical appraisal of the methodological quality of the scales.

The review has several possible limitations that need to be addressed. We acknowledge that we could have found more studies if we had done a title-, abstract-, and full-text search in addition to using mesh-terms, if we had searched in other databases, and if we did not limit the search to studies published in the 2005–2017 period. However, since our search captured all studies reported in previous literature reviews, in addition to revealing new relevant studies, we argue that the search was relevant and precise. Furthermore, the selected databases are the largest and most relevant for our research field and aim. If studies reporting on person-centered measurement scales were published before 2005, later studies that have used and validated the same scales would probably appear in our search.

Other quality criteria, such as test-retest reliability, convergent validity, and discriminant validity could have been used for a more thorough quality assessment of the included studies. However, the criteria used to assess measurement properties were adapted from the review by Wilberforce et al. [13], as they were believed to cover relevant and key measurement properties. Several of the included scales did not make explicit which definition of patient centeredness they used, and few used a conceptual framework to guide scale development. This is a challenge when assessing whether the scales really measure what they are intended to measure. Articulating a set of theoretical concepts and their interrelations is necessary in order to investigate the construct validity of a measure [19]. Future studies focusing on the development of patient-centeredness or involvement scales should present a clear definition and a theoretical framework guiding the scale development.

The majority of the included studies were of low to moderate methodological quality mainly due to lack of reporting on key measurement properties but also due to low quality of the properties reported. Only Suhonen et al.’s [21] study fulfilled all quality criteria. While this might undermine the validity and applicability of several of the measurement scales included in this review, it highlights a gap in the research literature, calling for further development of high quality person-centered measurement scales.

Using Tritter’s framework has narrowed our focus and we may have overlooked relevant aspects of the content of the scales. The large number of items representing preconditions in most of the instrument indicate that Tritter’s framework may not be well aligned to the scales reviewed. Staff reported instruments tend to include a large number of items looking at organizational approach or readiness (i.e., ‘preconditions’). Thus, basing the analysis on other frameworks such as those proposed by Shaller [48] or Sheard [49] could have be useful for categorizing preconditions of patient centeredness or involvement by type. However, the focus of the content analysis in the current review was on patient involvement, and we have argued why it is reasonable that patient centeredness scales should explicitly include this aspect in the measurement.

What does this study add?

To our knowledge, this is the first systematic review conducting a directed content analysis of patient-centeredness scales in terms of whether and how patient involvement is included in the scales. Our study adds new knowledge concerning the availability of questionnaire-based scales on patient-centeredness from the staffs’ perspective, how they address the role of patient involvement in quality and patient safety practices, and the categorization of items according to Tritter’s [16] conceptual framework of patient and public involvement (PPC) in health services.


Individual-, indirect-, and reactive involvement constituted the main involvement types in existing scales on patient centeredness from the staff perspective. Only a limited number of instruments on patient centeredness focus on direct and proactive involvement of patients in quality improvement. Thus, future studies should develop instruments that make the use of patient experiences and patient involvement in quality improvement explicit. Such instruments would be useful for further research on the role of patient involvement in quality improvement in healthcare, and they could also be used as important tools in quality improvement interventions. This review also suggests that a conceptual framework for patient involvement in healthcare, including the role of individual and environmental preconditions for patient involvement, should be further explored and developed.


  1. Negatively worded so that lower scores represent better practices



Geriatric Care Environment Scale


Individualized Care Inventory

ICS-Nurse :

Individualized care Scale


Person-centred Care Assessment Tool


Patient-centered care


Patient-centred care competency


Person-Centered Health Care for Older Adults Survey


Person-Centered Practices in Assisted Living


Person-Centred Climate Questionnaire – Staff version


Person-directed care


Patient and Public Involvement


Preferred Reporting Items for Systematic reviews and Meta-Analyses

SEPCQ-27 :

Self-Efficacy in Patient-Centeredness Questionnaire


  1. Institute of Medicine: Crossing the quality chasm: a new health system for the 21st century. Washington (DC): National Academies Press (US); 2001.

  2. Doyle C, Lennox L, Bell D. A systematic review of evidence on the links between patient experience and clinical safety and effectiveness. BMJ Open. 2013.

  3. Groene O. Patient centredness and quality improvement efforts in hospitals: rationale, measurement, implementation. Int J Qual Health Care. 2011;23(5):531–7.

    Article  Google Scholar 

  4. Ministry of Health and Care Services. Pasient- og brukerrettighetsloven. Oslo: Ministry of Health and Care Services; 2001.

    Google Scholar 

  5. Department of Health. Strengthening Accountability: Involving Patients and the Public: Policy Guidance. London: 2003.

  6. Kohn LT, Corrigan JM, Donaldson MS, editors. To err is human: building a safer health system. Washington DC: Institute of Medicine; 2000.

    Google Scholar 

  7. Secretary of State for Health. The NHS plan: a plan for investment, a plan for reform. In: London; 2000.

    Google Scholar 

  8. Ocloo J, Matthews R. From tokenism to empowerment: progressing patient and public involvement in healthcare improvement. BMJ Qual Saf. 2016;25(8):626–32.

    Article  Google Scholar 

  9. Lewin SA, Skea ZC, Entwistle V, Zwarenstein M, Dick J. Interventions for providers to promote a patient-centred approach in clinical consultations. Cochrane Database Syst Rev. 2001.

  10. Castro EM, Van Regenmortel T, Vanhaecht K, Sermeus W, Van Hecke A. Patient empowerment, patient participation and patient-centeredness in hospital care: a concept analysis based on a literature review. Patient Educ Couns. 2016;99(12):1923–39.

    Article  Google Scholar 

  11. Scholl I, Zill JM, Härter M, Dirmaier J. An integrative model of patient-centeredness–a systematic review and concept analysis. PLoS One. 2014.

  12. Köberich S, Farin E. A systematic review of instruments measuring patients′ perceptions of patient-centred nursing care. Nurs Inq. 2015;22(2):106–20.

    Article  Google Scholar 

  13. Wilberforce M, Challis D, Davies L, Kelly MP, Roberts C, Loynes N. Person-centredness in the care of older adults: a systematic review of questionnaire-based scales and their measurement properties. BMC Geriatr. 2016.

  14. de Silva D. Helping measure person-centred care. A review of evidence about commonly used approaches and tools used to help measure person-centred care. London: The Health Foundation; 2014.

  15. Edvardsson D, Innes A. Measuring person-centered care: a critical comparative review of published tools. Gerontologist. 2010;50(6):834–46.

    Article  Google Scholar 

  16. Tritter JQ. Revolution or evolution: the challenges of conceptualizing patient and public involvement in a consumerist world. Health Expect. 2009;12(3):275–87.

    Article  Google Scholar 

  17. Phillips NM, Street M, Haesler E. A systematic review of reliable and valid tools for the measurement of patient participation in healthcare. BMJ Qual Saf. 2015.

  18. Moher D, Liberati A, Tetzlaff J, Altman DG. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Int J Surg. 2010;8:336–41.

    Article  Google Scholar 

  19. Netemeyer RG, Bearden WO, Sharma S. Scaling procedures: issues and applications. London: Sage Publications; 2003.

    Book  Google Scholar 

  20. Hsieh HF, Shannon SE. Three approaches to qualitative content analysis. Qual Health Res. 2005;15(9):1277–88.

    Article  Google Scholar 

  21. Suhonen R, Gustafsson ML, Katajisto J, Valimaki M, Leino-Kilpi H. Individualized care scale - nurse version: a Finnish validation study. J Eval Clin Pract. 2010;16(1):145–54.

    Article  Google Scholar 

  22. Edvardsson D, Sandman PO, Rasmussen B. Construction and psychometric evaluation of the Swedish language person-centred climate questionnaire - staff version. J Nurs Manag. 2009;17(7):790–5.

    Article  Google Scholar 

  23. Sidani S, Collins L, Harbman P, MacMillan K, Reeves S, Hurlock-Chorostecki C, et al. Development of a measure to assess healthcare providers’ implementation of patient-centered care. Worldviews Evid-Based Nurs. 2014;11(4):248–57.

    Article  Google Scholar 

  24. Edvardsson D, Fetherstonhaugh D, Nay R, Gibson S. Development and initial testing of the person-centered care assessment tool (P-CAT). Int Psychogeriatr. 2010;22(1):101–8.

    Article  Google Scholar 

  25. Dow B, Fearn M, Haralambous B, Tinney J, Hill K, Gibson S. Development and initial testing of the person-centred health care for older adults survey. Int Psychogeriatr. 2013;25(07):1065–76.

    Article  Google Scholar 

  26. Zimmerman S, Allen J, Cohen LW, Pinkowitz J, Reed D, Coffey WO, et al. A measure of person-centered practices in assisted living: the PC-PAL. J Am Med Dir Assoc. 2015;16(2):132–7.

    Article  Google Scholar 

  27. O'Rourke N, Chappell NL, Caspar S. Measurement and analysis of individualized care inventory responses comparing long-term care nurses and care aides. Gerontologist. 2009;49(6):839–46.

    Article  Google Scholar 

  28. Sullivan JL, Meterko M, Baker E, Stolzmann K, Adjognon O, Ballah K, et al. Reliability and validity of a person-centered care staff survey in veterans health administration community living centers. Gerontologist. 2013;53(4):596–607.

    Article  Google Scholar 

  29. Berg A, Idvall E, Katajisto J, Suhonen R. A comparison between orthopaedic nurses’ and patients’ perception of individualised care. Int J Orthop Trauma Nurs. 2012;16(3):136–46.

    Article  Google Scholar 

  30. Chappell NL, Reid RC, Gish JA. Staff-based measures of individualized care for persons with dementia in long-term care facilities. Dementia. 2007;6(4):527–47.

    Article  Google Scholar 

  31. White DL, Newton-Curtis L, Lyons KS. Development and initial testing of a measure of person-directed care. Gerontologist. 2008;48(suppl 1):114–23.

    Article  Google Scholar 

  32. Zachariae R, O’Connor M, Lassesen B, Olesen M, Kjær LB, Thygesen M, et al. The self-efficacy in patient-centeredness questionnaire–a new measure of medical student and physician confidence in exhibiting patient-centered behaviors. BMC Med Educ. 2015.

  33. Rokstad AMM, Engedal K, Edvardsson D, Selbæk G. Psychometric evaluation of the Norwegian version of the person-centred care assessment tool. Int J Nur Pract. 2012;18(1):99–105.

    Article  Google Scholar 

  34. Martínez T, Suárez-Álvarez J, Yanguas J, Muñiz J. Spanish validation of the person-centered care assessment tool (P-CAT). Aging Ment Health. 2016;20(5):550–8.

    Article  Google Scholar 

  35. Kim H, Capezuti E, Boltz M, Fairchild S, Fulmer T, Mezey M. Factor structure of the geriatric care environment scale. Nurs Res. 2007;56(5):339–47.

    Article  Google Scholar 

  36. Edvardsson D, Koch S, Nay R. Psychometric evaluation of the English language person-centred climate questionnaire--staff version. J Nurs Manag. 2010;18(1):54–60.

    Article  Google Scholar 

  37. Bergland A, Kirkevold M, Edvardsson D. Psychometric properties of the Norwegian person-centred climate questionnaire from a nursing home context. Scand J Caring Sci. 2012;26(4):820–8.

    Article  Google Scholar 

  38. Choi J-S, Lee M. Psychometric properties of a Korean measure of person-directed Care in Nursing Homes. Res Soci Work Pract. 2014;24(6):676–84.

    Article  Google Scholar 

  39. Hwang JI. Development and testing of a patient-centred care competency scale for hospital nurses. Int J Nurs Pract. 2015;21(1):43–51.

    Article  Google Scholar 

  40. Sutton E, Eborall H, Martin G. Patient involvement in patient safety: current experiences, insights from the wider literature, promising opportunities? Public Management Review. 2015;17(1):72–89.

    Article  Google Scholar 

  41. Jacobs LM, Brindis CD, Hughes D, Kennedy CE, Schmidt LA. Measuring consumer engagement: a review of tools and findings. JHQ. 2018;40(3):139–46.

    PubMed  Google Scholar 

  42. Fitzsimons B, Cornwell J. What can we learn from patients’ perspectives on the quality and safety of hospital care? BMJ Qual Saf. 2018.

  43. Skagerström J, Ericsson C, Nilsen P, Ekstedt M, Schildmeijer K. Patient involvement for improved patient safety: a qualitative study of nurses’ perceptions and experiences. Nursing Open. 2017;4(4):230–9.

    Article  Google Scholar 

  44. O’Hara JK, Reynolds C, Moore S, Armitage G, Sheard L, Marsh C, et al. What can patients tell us about the quality and safety of hospital care? Findings from a UK multicentre survey study. BMJ Qual Saf. 2018.

  45. 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  Google Scholar 

  46. Wiig S, Storm M, Aase K, Gjestsen MT, Solheim M, Harthug S, et al. Investigating the use of patient involvement and patient experience in quality improvement in Norway: rhetoric or reality? BMC Health Serv Res. 2013.

  47. Davies E, Cleary PD. Hearing the patient’s voice? Factors affecting the use of patient survey data in quality improvement. Qual Saf Health Care. 2005;14(6):428–32.

    Article  CAS  Google Scholar 

  48. Shaller D. Patient-centered care: what does it take? New York: Commonwealth Fund; 2007.

    Google Scholar 

  49. Sheard L, Marsh C, O'Hara J, Armitage G, Wright J, Lawton R. The patient feedback response framework – understanding why UK hospital staff find it difficult to make improvements based on patient feedback: a qualitative study. Soc Sci Med. 2017;178:19–27.

    Article  Google Scholar 

  50. Edvardsson D, Sjögren K, Lindkvist M, Taylor M, Edvardsson K, Sandman PO. Person-centred climate questionnaire (PCQ-S): establishing reliability and cut-off scores in residential aged care. J Nurs Manag. 2015;23(3):315–23.

    Article  Google Scholar 

  51. Sjögren K, Lindkvist M, Sandman PO, Zingmark K, Edvardsson D. Psychometric evaluation of the Swedish version of the person-centered care assessment tool (P-CAT). Int Psychogeriatr. 2012;24(3):406–15.

    Article  Google Scholar 

  52. Zhong XB, Lou VWQ. Person-centered care in Chinese residential care facilities: a preliminary measure. Aging Ment Health. 2013;17(8):952–8.

    Article  Google Scholar 

Download references


Not applicable.


The work is part of the project Improving Quality and Safety in Primary Care – Implementing a Leadership Intervention in Nursing Homes and Homecare (SAFE-LEAD Primary Care), which has received funding from the Research Council of Norway’s programme HELSEVEL, under grant agreement 256681/H10, and the University of Stavanger. The funder played no role in the design of the study, collection, analysis or interpretation of data, or in writing the manuscript.

Availability of data and materials

Data sharing is not applicable to this article as no datasets were generated or analysed during the current study search strategy.

Author information

Authors and Affiliations



All authors contributed to the conception and design of the systematic review, as well as the search strategy. ER completed the database searches and identification of relevant literature. The title, abstract and full text screening of potentially relevant records were completed by two independent reviewers (ER and MS) while a third reviewer (SW) was involved in discussions of records where there was disagreement, to reach consensus. Data were extracted and critically appraised by MS and TM, while ER was involved in discussing discrepancies among the two researchers, until consensus was reached. ER and MS conducted the qualitative content analysis, and SW was included in the final round of discussions based on which agreement about categorization was reached. ER made the first draft of the manuscript, while SW, MS, and TM have contributed to critically reviewing and revising subsequent drafts. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Eline Ree.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests. The authors Siri Wiig and Tanja Manser are associate editors of BMC Health Services Research.

Publisher’s Note

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

Additional file

Additional file 1:

Title of data: The systematic search and outcomes (medline: May 16., all others: May18. 2017 (2005–2017, English language). Description of data: Overview of the systematic literature search strategy in the databases Medline, CINAHL, Embase, and Scopus. The first electronic search was undertaken in April 2017 and updated in May 2017. In each database, the searches were structured around three main concepts: psychometrics, patient-centeredness and involvement, and quality improvement. A combination of keywords, mesh-terms, and subject headings was used in all searches. (DOCX 18 kb)

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, 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 ( applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ree, E., Wiig, S., Manser, T. et al. How is patient involvement measured in patient centeredness scales for health professionals? A systematic review of their measurement properties and content. BMC Health Serv Res 19, 12 (2019).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: