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Assessment tools measuring health-related empowerment in psychosocially vulnerable populations: a systematic review

International Journal for Equity in Health volume 20, Article number: 246 (2021) Cite this article

Abstract

Background

Many programs are undertaken to facilitate the empowerment of vulnerable populations across the world. However, an overview of appropriate empowerment measurements to evaluate such initiatives remains incomplete to date. This systematic review aims to describe and summarise psychometric properties, feasibility and clinical utility of the available tools for measuring empowerment in psychosocially vulnerable populations.

Methods

A systematic literature review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines was completed. A descriptive approach was used for data analysis. Papers were eligible if they explored the development, validation, cross-cultural translation or the utility of an empowerment measurement tool in the context of psychosocially vulnerable populations.

Results

Twenty-six included articles described twenty-six separate studies in which 16 empowerment measurement tools were developed, validated/translated, or used. There was heterogeneity in empowerment constructs, samples targeted, and psychometric properties measured. The measurement of reliability of the included instruments was satisfactory in most cases. However, the validity, responsiveness, interpretability, feasibility and clinical utility of the identified measurement tools were often not adequately described or measured.

Conclusion

This systematic review provides a useful snapshot of the strengths as well as limitations of existing health related empowerment measurement tools used with psychosocially vulnerable populations in terms of their measurement properties, and constructs captured. It highlights significant gaps in empowerment tool measurement, development and evaluation processes. In particular, the results suggest that in addition to systematic assessments of psychometric properties, the inclusion of feasibility and clinical utility as outcome measures are important to assess relevance to clinical practice.

Background

Empowerment of individuals refers to a participatory process of becoming stronger and more confident enabling them to have more control over their lives [1]. An empowered individual may display characteristics of increased self-esteem, self-efficacy, responsibility and self-determination [1]. However, the term empowerment has also been used with various populations and in a wide range of contexts to illustrate aspects of a broader concept [2]. As such it has been described as a multi-level construct, which comprises organisational, community or group and individual domains [3].

Empowerment has been viewed as a fundamental value or goal in health promotion and an integral element of social equity and social welfare policy [4, 5]. Empowerment-related research tends to identify and highlight participants’ strengths and abilities rather than focusing on risk factors and deficits [3]. Internationally, in varied health promotion programs researchers are endeavoring to conceptualise and measure empowerment, and aiming to inform theory building and policy advocacy [6,7,8].

In healthcare, vulnerable populations are those individuals at risk of unequal access to healthcare services and desirable health outcomes because they encounter barriers due to their cultural, ethnic, health or economic status [9]. Vulnerabilities can be further categorised into three domains: physical, psychological, and social [9]. Psychosocially vulnerable populations within the context of this review are characterised as those susceptible to poor health outcomes generated or exacerbated by the presence of particular psychosocial factors. Factors may include, but are not limited to, belonging to a racial or ethnic minority or being an indigenous person, being pregnant, a child, elderly or homeless, or having human immunodeficiency virus (HIV) or a severe mental illness. Psychosocially vulnerable populations are those at risk of disparate healthcare access and outcomes due to stigmatisation and prejudice [10]. Hence, empowerment that promotes independence and enables self-determination is often a goal for the holistic wellbeing of individuals from vulnerable populations [11].

Initiatives funded by WHO, USAID, the World Bank and other agencies, seek to build empowerment among vulnerable or disadvantaged groups and communities to eliminate stigma and health disparities [12]. Studies have shown that empowerment programs can lead to positive health-related outcomes such as improved coping skills, self-efficacy, self-mastery, more access to health services and other resources, and enable disadvantaged groups to drive positive structural and organisational change [13,14,15,16,17].

As the concept of empowerment has gained recognition as a core tenet in health promotion by patients, professionals, and policy makers, there has been increasing interest in the utility of implementing empowerment programs [18]. Endeavors to evaluate such interventions are largely dependent on effective and robust measurements of the empowerment concept [19]. However, to date, measurement has been complicated because there is no universally accepted definition of empowerment, and it is argued that the empowerment construct may be both context-dependent and population-specific [20].

Cyril et al. [4] stated that although there have been extensive studies on empowerment in the last decades, there remains a scarcity of literature adequately reporting on associated psychometrics. Whilst varied empowerment measurement tools and scales have been developed, their quality has not been rigorously or systematically appraised. Those studies that have appraised the reliability and validity of scales measuring empowerment have tended to focus on participants with specific diseases, limiting their generalisability to wider populations [21,22,23]. Because populations with psychosocial vulnerabilities tend to be at higher risk of social exclusion and reduced access to healthcare than the general population, it is important to determine the potential for well-measured empowerment interventions to be used in these groups.

To the best of our knowledge, there has been no published systematic review with regard to empowerment measurement tools available to evaluate and monitor benefits of health promotion programs for psychosocially vulnerable populations. Systematic examination of reliability, validity, feasibility and clinical utility of empowerment tools is required to inform the selection of appropriate instruments to evaluate empowerment programs and address outstanding issues on how to effectively enhance empowerment in individuals and groups. The purpose of the study was to systematically review and appraise the properties of empowerment measures and their applicability for use with empowerment programs for psychosocially vulnerable populations.

Methods

Search strategy

A systematic review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guidelines [24]. We searched MEDLINE, CINAHL, PsycINFO, PubMed, Informit Indigenous Collection, and the Australian Indigenous HealthInfoNet electronic databases. The Australian database was included in addition to the international Informit Indigenous research resource collection because of the authors’ awareness of ongoing Australian-based research about empowerment assessment in Aboriginal and Torres Strait Islander communities. The searches used relevant Medical Subject Headings (MeSH) and keywords listed below (Pubmed example). To identify additional eligible studies that may have been missed by the electronic search, the reference lists of the retrieved articles were also reviewed, supplemented by citation tracking using Google scholar. Papers published between January 1990 and January 2021 were eligible for inclusion. The database search inception date of January 1990 was selected because the publication of health-related empowerment studies has increased dramatically since the early 1990s [1]. We conducted the database searches for the review between 4 December 2020 and 31 January 2021. Retrieved literature from the combined database searches was imported into bibliographic citation management software, Endnote X9.

#1

empowerment [MeSH Terms]

#2

empowerment measurement* [Title/Abstract]

#3

empowerment scale*[Title/Abstract]

#4

empowerment tool*[Title/Abstract]

#5

empowerment survey*[Title/Abstract]

#6

empowerment questionnaires*[Title/Abstract]

#7

#1OR #2 OR #3OR #4 OR #5 OR #6

#8

vulnerable population* [MeSH Terms]

#9

sensitive population* [Title/Abstract]

#10

underserved population* [Title/Abstract]

#11

#8 OR #9 OR #10

#12

#7 AND #11

Study inclusion and exclusion criteria

Articles were included if the study aims focused on empowerment measurement tool development, or the implementation, validation or translation of existing empowerment measurement tools in the context of psychosocially vulnerable populations. Studies investigating empowerment as a health outcome measure to evaluate the utility of empowerment measurement tools contextualised with psychosocially vulnerable individuals were also eligible. Only articles available in English language were included. There were no restrictions on study quality. Studies that were published in dissertations, books, reports, and other non-peer-reviewed resources were also eligible for inclusion. Studies were excluded if empowerment was explored using only qualitative research methods (e.g. face to face interviews or focus groups), they did not focus on empowerment in a health-related context, or they did not report any psychometric assessment results from measuring empowerment.

Data extraction and data items

Data extraction comprised general information about the study including author, year, study design, setting and study aims, and participant characteristics. We extracted further detailed information with regard to characteristics of empowerment measurement tools, the empowerment domains under examination, measurement tool item development, number of items included in each tool, how the measurement tool was administered, tool response scales, and whether exploratory factor analysis (EFA) and/or confirmatory factor analysis (CFA) was conducted.

We adhered to the guidelines for instrument measurement properties suggested by Rostad et al. [25]. The psychometric properties of the empowerment measurement tools were appraised across four dimensions: reliability, validity, responsiveness and interpretability. In addition, we appraised feasibility and clinical utility of the tools. In this review, reliability refers to the consistency of a measurement, which usually includes test-retest reliability, internal consistency, and inter-rater reliability [26]. Validity refers to the extent to which a measurement tool represents the variable/s it is intended to measure [26]. Responsiveness reflects the capacity of an instrument to measure change over time, and interpretability of measurement scores is important to differentiate between clinically important change and measurement error [27]. Feasibility refers to the resources needed to administer and process a participant assessment using the measurement tool, for example, who completed the assessment, time taken, and amount of staff training required [25, 28]. Clinical utility explores ‘usefulness to practice’ and whether the result of the assessment can inform clinical and industry decision making [29].

Data synthesis and presentation

A descriptive analysis was utilised in this study to illustrate the range of empowerment measurement tools used with psychosocially vulnerable populations, and evaluate their psychometric properties, feasibility of use and clinical utility. The study results were tabulated and presented using descriptive summaries.

Results

Included studies

Electronic searches yielded 1316 articles and the secondary reference list search generated 12 additional papers (Fig. 1). After removing 1011 duplicate publications, 305 records remained for title and abstract review. Screening of titles and abstracts excluded 244 papers. The remaining 61 full-text records were reviewed for inclusion eligibility. A further 35 articles were excluded. There was final inclusion of 26 papers focusing on empowerment measurement tool development, or the validation, translation or application of existing empowerment measurement tools.

Fig. 1
figure 1

PRISMA flow diagram of study selection. Adapted from: Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 2021;372:n71

Full size image

Overview of the studies

In total, the 26 included articles reported 26 distinct studies and 16 different empowerment measurement tools (Table 1). Eight of the studies were undertaken in the US, five in Australia, two in India, and two in Japan. One study was in both the US and Australia, and one each were undertaken in Nepal, Iran, the Netherlands, China, Mexico, Bolivia, Sweden and Africa. With regard to the empowerment measurement tools, the number of response items included in the tools ranged from eight to 34. A majority of the studies used a measurement tool with a four or five-point Likert scale. Study sample sizes ranged from 15 to 1824 participants. Characteristics indicating psychosocial vulnerability among study participants included pregnancy, mental health disorders (including families of children with mental health disorders), Indigenous populations, ethnic minorities, people infected with HIV, and people who were members of self-help groups. Across the 26 included studies, seven articles focused on initial development of an empowerment measurement tool (tool development studies), five articles reported how the tools were validated or translated when used in a cross-cultural or new language setting (tool validation/translation study), and the remaining 14 articles used an empowerment measurement tool to assess health outcomes following an intervention (empowerment study).

Table 1 Characteristics of the empowerment measurement adopted in the review
Full size table

Measurement properties

Reliability

Internal consistency of the empowerment measurement tools was tested in 18 studies and most demonstrated medium to moderately good internal consistency across settings (Table 2) with three reporting poor internal consistency of sub-scales [39, 42, 48]. Test-retest reliability was assessed in four studies [20, 40, 41, 44]. Only one study by Contreras-Yáñez et al. [20] reported intra-class coefficients (ICC). The study assessed adaption of a Spanish version of the Health Empowerment Scale for use with Latin American participants with rheumatoid arthritis and the ICC showed moderately good reliability across settings.

Table 2 Measurement properties of the scales included in the review
Full size table

Validity

Content validity

The various methods of assessing content validity reported in six of the studies included brief descriptions of content revision [31, 45], calculation of the content validity ratio and content validity index [32], rating of measurement tool scale items by expert panels [20, 43], and independent item ratings and participants readability and clarity [44]. The face validity of measurement tools, for example, difficulty and relevance of response items, was assessed with a participant feedback approach in only two studies [20, 32].

Criterion-related validity

A comparative Locus of Control scale was used by Kameda and Shimada [42] to assess criterion-related validity in their development of an empowerment measurement tool for Japanese pregnant women. There was a strong positive correlation found between the original scale scores and the newly developed scale. Subsequently, in a 2015 study measuring empowerment among Iranian pregnant women, Borghei et al. [32] used Kameda’s pregnancy empowerment scale, as well as the Spritzer psychological empowerment scale as gold standards to evaluate the criterion-related validity of their new empowerment measurement tool (the Persian-language Self-Structured Pregnancy Empowerment Questionnaire), and showed a strong positive correlation between the gold standards and their new tool.

Construct validity

Construct validity was assessed by a number of different approaches in the studies in this review, including assessment of structural validity, internal and external construct validity, discriminant/convergent validity and cross-cultural validity. Structural validity was tested using an EFA method for determining number of factors of the scale in six studies. Klima et al. [43] used an expert panel to establish content validity of dimensions of pregnancy-related empowerment in an initial development phase of their empowerment measurement tool. A subsequent CFA was consistent with the expert panel’s four dimensions: provider connectedness, peer connectedness, skilful decision-making and gaining voice. Discriminant and convergent validity was assessed in two studies with fair results [41, 48]. Of five empowerment validation/translation studies, three considered an examination of cross-cultural validity. In developing a pregnancy-related empowerment scale, Klima et al. (2015) used a committee of bilingual translators to achieve conceptual rather than literal equivalence validation. Contreras-Yáñez et al. [20] conducted cultural sematic validation in a cross-cultural adaptation, and Hansson and Björkman [39] briefly mentioned cultural validation in the context of testing reliability and validity of the Swedish version of an English-language empowerment scale for people with a mental illness. Cross-cultural validity was not reported in the remaining two validation/translation studies [42, 48].

Responsiveness and interpretability

Responsiveness, or the ability of a measurement tool to detect changes over time, was examined in three studies [31, 46, 50]. Specifically, Nishita et al. [46] reported that a participant-driven management intervention enhanced diabetes self-efficacy with a medium to large effect size at follow-up after 12 months. Berry et al. [50] reported that effect sizes for four subscales of the Growth and Empowerment Measure (GEM) between baseline and 8 weeks were large, indicating that the GEM was sensitive to empowerment changes in the targeted substance abuse treatment population. Bhatta et al. [31] demonstrated sustained increased empowerment from a social self-value intervention for people with HIV after 6 months. None of the included studies reported interpretability.

Feasibility and clinical utility

Of the 26 studies reviewed, seven reported one or more aspects of measurement tool feasibility and/or clinical utility in terms of who carried out the assessment [15, 45], the number of missing responses [17, 20, 48], participants self-reported experiences of using the tool [20, 39, 43, 48], as well as the amount of time needed to complete an assessment [20, 39, 43].

Castelein et al. [48] in a comparison of three instruments, evaluated their clinical usefulness for people with psychotic disorders. They found grammatical and lexical considerations were important and that clinical usefulness was dependent on cognitive abilities of participants. Additionally, in feedback from participants, instrument items that were not applicable to all had the potential to confuse users during data collection and result in unanswered items [17, 48]. The average participant time needed was reported in three studies and ranged from 7 min to 30 min. Feedback related to the participant time burden showed that 7 min was regarded as convenient [20], whereas the 30-min timeframe required to complete the GEM [17] was considered too long for use with pregnant women in time-limited appointments with competing clinical priorities [49]. None of the studies reported whether staff training was provided ahead of measurement tool administration. Only Contreras-Yáñez et al. [20] assessed a majority of these features related to feasibility and clinical utility.

Discussion

This systematic review has examined the measurement of empowerment in psychosocially vulnerable populations from 1990 to 2021. Since the early 1990s, empowerment as a general concept has gained significant appeal demonstrated by an exponential increase in literature, particularly that exploring its theoretical underpinnings [1]. The term is now entrenched among many of the health professions, however, over time efforts to develop robust empowerment measures have lagged [1, 44]. This review adds to this important field of enquiry by identifying empowerment measurement tools as they relate to psychosocially vulnerable populations, and reported on available assessments of psychometric properties of the tools, their feasibility and clinical utility.

Shortcomings in comprehensive testing of important measurement tool properties have been identified in the review. In assessments of reliability, or consistency of the measurement tools, most of the included studies appraised internal consistency as fair or good for the total scale making up the tool, but failed to assess or report on reliability of its subscales. Additionally, test-retest reliability or the degree to which results are repeatable has been reported as being a necessary testing component for adequately assessing general reliability [4], however, this step was documented in only four of the 26 included papers. Construct validity of a tool is one of the most significant measurement properties since it determines how well the tool measures what it claims to test [19]. Overall, this review identified a general lack of adequate investigation of this property with less than half of the studies (10/26) reporting results of an assessment.

With regard to five studies that included validation/translation, three examined cross-cultural validity, albeit one briefly, in the process of translating an existing empowerment tool to a new cultural and language group. Validating a tool in a culturally different population is not simply a matter of direct translation and back translation into respective language and cultural settings. Importantly, it is also necessary to ensure conceptual, operational, measurement, functional and item equivalence, in parallel with creating semantic equivalence [12, 51]. The application of standard scales without adequate adaptation inappropriately ‘presumes a universality of definition and understanding’ (Brown et al., 2013, p.6). For example, the pregnancy-related empowerment scale (PRES) was validated and widely used across America including African American populations [43]. However, for use in sub-Saharan African settings, translation was not considered and possible impact of cultural differences was absent in the study’s results [14]. Although there are varied available tools for assessing empowerment among pregnant women, it remains challenging to identify appropriate instruments that are applicable for the culture and experiences of each target population [43].

Responsiveness and interpretability of empowerment tools were described and reported in very few studies, which is consistent with findings of Terwee et al. [52]. Without insight about responsiveness, or ‘longitudinal validity’, it is difficult to understand whether clinically important changes in levels of participants’ empowerment are sustained over time. None of the studies included in this review tested interpretability which is useful in distinguishing clinically important change from measurement error. It is highlighted that responsiveness and interpretability, and floor/ceiling effect were often missing in measurement tool evaluations [19, 52]. Validation/translation studies could be more informative if they were able to test these important measurement qualities. Without full assessment of psychometric properties, the validity and reliability of results generated by use of that measure remain uncertain.

Most of the studies included in the review did not report enough information to assess feasibility and clinical utility of the empowerment tools. In particular, there was frequently a lack of information regarding time and effort needed for participants to complete assessments, or for those who administer them. Measurement tool evaluations should also provide an indication of training or professional expertise and experience needed by staff who administer instruments. As matters of practicality, decisions based on the respondent and administrative burden of a measurement tool are likely to be linked to available resources in both clinical and research environments. Additional instrument attributes related to feasibility of use and clinical utility include the needed literacy levels of intended participants and user acceptability [53]. High participant refusal rates and levels of missing data are probable indicators that an instrument or items in it were unacceptable or not applicable. Missing responses are particularly important for clinical utility if the total score from an empowerment measurement tool is influenced by unanswered items [25].

Whilst some empowerment scales have been successfully validated across populations, settings and cultures, they may not measure up in a cursory assessment of their feasibility or clinical application. For example, the GEM was developed and validated with Aboriginal Australians and studies have reported that it effectively captured changes within Indigenous people participating in specific empowerment programs [13, 17, 45]. The GEM requires significant investment for implementation as it encourages participants to reflect on their life experiences and requires an average of 30 min to complete the scale [49]. Empowerment is inherently complex and subjective, context dependent, and definitionally imprecise [17]. As such, it could be argued that as a construct regarded with increasing importance and value, its measurement is deserving of additional participant and administrative burden. Although a shortened version of the GEM reducing the instrument from 12 to six core item scales has been trialed and successfully detected the most consistent empowerment change in two groups of participants [54], it was concluded that using the full tool gave maximum analytical power for understanding the nuances of personal change. Development and rigorous validation of short-form scales may enhance the routine use of empowerment measurement tools [55], however, the advantages of this should be weighed against potential loss of intent and utility of the original tools.

As with many literature reviews, relevant articles may have been missed by our search strategy or overlooked in error during the title and abstract review phase. It is possible that an important but unpublished body of work related to empowerment of psychosocially vulnerable populations exists. For example, projects undertaken in Indigenous community-controlled sectors internationally may be underreported in the peer-reviewed literature. This review is also subject to potential bias including errors in translation of information from original research papers. Due to the time lag between research completion and subsequent publication recent literature may have been missed. A further possible bias was introduced because this review has excluded literature published in languages other than English.

Conclusion

This review synthesizes and assesses available studies on the measurement properties, feasibility, and clinical utility of empowerment measurement tools used in psychosocially vulnerable populations. Few studies provided a comprehensive assessment of the properties of interest. There were significant shortcomings in testing of psychometric qualities, particularly with regard to evidence to support responsiveness and interpretability of the measurement tools. The results highlight that development, translation and validation of empowerment measurement tools is not a straightforward process [56]. There are many steps that can be costly, time consuming and requiring complex statistical analyses. Nevertheless, the work is important because well-designed and tested measurement tools are fundamental to increasing our understanding of the complex empowerment construct. Detailed and importantly, systematic assessments of the psychometric properties of measurement tools are needed to create reliable, valid and responsive measures of empowerment. Additionally, future research will benefit from including feasibility and clinical utility as outcome measures in assessments of the effectiveness of empowerment programs for psychosocially vulnerable populations.

Availability of data and materials

Not applicable.

References

  1. Herbert RJ, Gagnon AJ, Rennick JE, O'Loughlin JL. A systematic review of questionnaires measuring health-related empowerment. Res Theory Nurs Pract. 2009;23(2):107–32.

    PubMed  Google Scholar 

  2. Bovill M, Chamberlain C, Bar-Zeev Y, Gruppetta M, Gould GS. Ngu-ng-gi-la-nha (to exchange) knowledge. How is Aboriginal and Torres Strait islander people's empowerment being upheld and reported in smoking cessation interventions during pregnancy: a systematic review. Aust J Prim Health. 2019;25(5):395–401.

    PubMed  Google Scholar 

  3. Zimmerman MA. Psychological empowerment: issues and illustrations. Am J Community Psychol. 1995;23(5):581–99.

    CAS  PubMed  Google Scholar 

  4. Cyril S, Smith BJ, Renzaho AM. Systematic review of empowerment measures in health promotion. Health Promot Int. 2016;31(4):809–26.

    PubMed  Google Scholar 

  5. Wallerstein NB, Duran B. Using community-based participatory research to address health disparities. Health Promot Pract. 2006;7(3):312–23.

    PubMed  Google Scholar 

  6. Schroeder D, Larsen P, Byrd NJ. Rediscovering empowerment with breastfeeding in an urban first Nation's population. BMC Pregnancy Childbirth. 2019;19(1):509.

    PubMed  PubMed Central  Google Scholar 

  7. Kinchin I, Doran CM, McCalman J, Jacups S, Tsey K, Lines K, et al. Delivering an empowerment intervention to a remote indigenous child safety workforce: its economic cost from an agency perspective. Eval Program Plann. 2017;64:85–9.

    PubMed  Google Scholar 

  8. Butler TL, Anderson K, Garvey G, Cunningham J, Ratcliffe J, Tong A, et al. Aboriginal and Torres Strait islander people's domains of wellbeing: a comprehensive literature review. Soc Sci Med. 2019;233:138–57.

    PubMed  Google Scholar 

  9. Waisel DB. Vulnerable populations in healthcare. Curr Opin Anesthesiol. 2013;26(2):186–92.

    Google Scholar 

  10. Carroll SM. Respecting and empowering vulnerable populations: contemporary terminology. J Nurse Pract. 2019;15(3):228–31.

    Google Scholar 

  11. Kinchin I, Jacups S, Tsey K, Lines K. An empowerment intervention for indigenous communities: an outcome assessment. BMC Psychol. 2015;3:29.

    PubMed  PubMed Central  Google Scholar 

  12. Bakker L, Van Brakel WH. Empowerment assessment tools in people with disabilities in developing countries. A systematic Literature review. Lepr Rev. 2012;83(2):129–53.

  13. Jersky M, Titmuss A, Haswell M, Freeman N, Osborne P, Callaghan L, et al. Improving health service access and wellbeing of young Aboriginal parents in an urban setting: mixed methods evaluation of an arts-based program. Aust N Z J Public Health. 2016;40(Suppl 1):S115–21.

    PubMed  Google Scholar 

  14. Patil CL, Klima CS, Leshabari SC, Steffen AD, Pauls H, McGown M, et al. Randomized controlled pilot of a group antenatal care model and the sociodemographic factors associated with pregnancy-related empowerment in sub-Saharan Africa. BMC Pregnancy Childbirth. 2017;17(2):336.

    PubMed  PubMed Central  Google Scholar 

  15. Blanchard AK, Mohan HL, Shahmanesh M, Prakash R, Isac S, Ramesh BM, et al. Community mobilization, empowerment and HIV prevention among female sex workers in South India. BMC Public Health. 2013;13(1):234.

    PubMed  PubMed Central  Google Scholar 

  16. Khenti A, Bobbili SJ, Sapag JC. Evaluation of a pilot intervention to reduce mental health and addiction stigma in primary care settings. J Community Health. 2019;44(6):1204–13.

    PubMed  Google Scholar 

  17. Haswell MR, Kavanagh D, Tsey K, Reilly L, Cadet-James Y, Laliberte A, et al. Psychometric validation of the growth and empowerment measure (GEM) applied with indigenous Australians. Aust N Z J Psychiatry. 2010;44(9):791–9.

    PubMed  Google Scholar 

  18. Small N, Bower P, Chew-Graham CA, Whalley D, Protheroe J. Patient empowerment in long-term conditions: development and preliminary testing of a new measure. BMC Health Serv Res. 2013;13:263.

    PubMed  PubMed Central  Google Scholar 

  19. Barr PJ, Scholl I, Bravo P, Faber MJ, Elwyn G, McAllister M. Assessment of patient empowerment--a systematic review of measures. PLoS One. 2015;10(5):e0126553.

    PubMed  PubMed Central  Google Scholar 

  20. Contreras-Yáñez I, Ruiz-Medrano E, Luz del Carmen RH, Pascual-Ramos V. Psychometric validation of an empowerment scale for Spanish-speaking patients with rheumatoid arthritis. Arthritis Res Ther. 2018;20(1):244.

    PubMed  PubMed Central  Google Scholar 

  21. Chen MF, Wang RH, Cheng CP, Chin CC, Stocker J, Tang SM, et al. Diabetes empowerment process scale: development and psychometric testing of the Chinese version. J Adv Nurs. 2011;67(1):204–14.

    PubMed  Google Scholar 

  22. Eklund M, Erlandsson LK, Hagell P. Psychometric properties of a Swedish version of the Pearlin mastery scale in people with mental illness and healthy people. Nord J Psychiatry. 2012;66(6):380–8.

    PubMed  Google Scholar 

  23. Ratner NL, Davis EB, Lhotka LL, Wille SM, Walls ML. Patient-centered care, diabetes empowerment, and type 2 diabetes medication adherence among American Indian patients. Clin Diabetes. 2017;35(5):281–5.

    PubMed  PubMed Central  Google Scholar 

  24. Page MJ, Moher D, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. PRISMA 2020 explanation and elaboration: updated guidance and exemplars for reporting systematic reviews. BMJ. 2021;372:n160.

    PubMed  PubMed Central  Google Scholar 

  25. Rostad HM, Utne I, Grov EK, Puts M, Halvorsrud L. Measurement properties, feasibility and clinical utility of the Doloplus-2 pain scale in older adults with cognitive impairment: a systematic review. BMC Geriatr. 2017;17(1):257.

    PubMed  PubMed Central  Google Scholar 

  26. Hahn EA, Cella D, Chassany O, Fairclough DL, Wong GY, Hays RD, et al. Precision of health-related quality-of-life data compared with other clinical measures. Mayo Clin Proc. 2007;82(10):1244–54.

    PubMed  Google Scholar 

  27. Pulles AN, Köke AJ, Strackke RP, Smeets RJ. The responsiveness and interpretability of psychosocial patient-reported outcome measures in chronic musculoskeletal pain rehabilitation. Eur J Pain. 2020;24(1):134–44.

    PubMed  Google Scholar 

  28. McGarrigle L, Squires E, Wallace LM, Godin J, Gorman M, Rockwood K, et al. Investigating the feasibility and reliability of the pictorial fit-frail scale. Age Ageing. 2019;48(6):832–7.

    PubMed  PubMed Central  Google Scholar 

  29. Guerin JM, Copersino ML, Schretlen DJ. Clinical utility of the 15-item geriatric depression scale (GDS-15) for use with young and middle-aged adults. J Affect Disord. 2018;241:59–62.

    PubMed  Google Scholar 

  30. Anderson RM, Funnell MM, Nwankwo R, Gillard ML, Oh M, Fitzgerald JT. Evaluating a problem-based empowerment program for African Americans with diabetes: results of a randomized controlled trial. Ethn Dis. 2005;15(4):671.

    PubMed  Google Scholar 

  31. Bhatta DN, Liabsuetrakul T. Social self-value intervention for empowerment of HIV infected people using antiretroviral treatment: a randomized controlled trial. BMC Infect Dis. 2016;16(1):272.

    PubMed  PubMed Central  Google Scholar 

  32. Borghei N, Taghipour A, Latifnejad Roudsari R, Keramat A. Development and validation of a new tool to measure Iranian pregnant women’s empowerment. East Mediterr Health J. 2015;21(12):897–905.

    Google Scholar 

  33. Cheung YW, Mok B-H, Cheung T-S. Personal empowerment and life satisfaction among self-help group members in Hong Kong. Small Group Res. 2016;36(3):354–77.

    Google Scholar 

  34. Corrigan PW. Impact of consumer-operated services on empowerment and recovery of people with psychiatric disabilities. Psychiatr Serv. 2006;57(10):1493–6.

    PubMed  Google Scholar 

  35. Dempsey I, Dunst CJ. Helpgiving styles and parent empowerment in families with a young child with a disability. J Intellect Develop Disabil. 2009;29(1):40–51.

    Google Scholar 

  36. Diamond-Smith N, Treleaven E, Murthy N, Sudhinaraset M. Women’s empowerment and experiences of mistreatment during childbirth in facilities in Lucknow, India: results from a cross-sectional study. BMC Pregnancy Childbirth. 2017;17(2):1–13.

    Google Scholar 

  37. Farber MLZ, Maharaj R. Empowering high-risk families of children with disabilities. Res Soc Work Pract. 2016;15(6):501–15.

    Google Scholar 

  38. Godoy RA, Patel A, Reyes-Garcia V, Seyfried CF Jr, Leonard WR, McDade T, et al. Nutritional status and spousal empowerment among native Amazonians. Soc Sci Med. 2006;63(6):1517–30.

    PubMed  Google Scholar 

  39. Hansson L, Björkman T. Empowerment in people with a mental illness: reliability and validity of the Swedish version of an empowerment scale. Scand J Caring Sci. 2005;19(1):32–8.

    PubMed  Google Scholar 

  40. Homko CJ, Sivan E, Reece EA. The impact of self-monitoring of blood olucose on self-efficacy and pregnancy outcomes in women with diet-controlled gestational diabetes. Diabetes Educ. 2002;28(3):435–43.

    PubMed  Google Scholar 

  41. Kaczinski R, Rosenheck RA, Resnick SG. A psychometric study of empowerment and confidence among veterans with psychiatric disabilities. J Rehabil. 2009;75(3):15–22.

    Google Scholar 

  42. Kameda Y, Shimada K. Development of an empowerment scale for pregnant women. J Tsuruma Health Sci Soc Kanazawa Univ. 2008;32(1):39–48.

    Google Scholar 

  43. Klima CS, Vonderheid SC, Norr KF, Park CG. Development of the pregnancy-related empowerment scale. Nurs Health. 2015;3(5):120–7.

    Google Scholar 

  44. Koren PE, DeChillo N, Friesen BJ. Measuring empowerment in families whose children have emotional disabilities: a brief questionnaire. Rehabil Psychol. 1992;37(4):305–21.

    Google Scholar 

  45. LoGiudice D, Josif CM, Malay R, Hyde Z, Haswell M, Lindeman MA, et al. The well-being of Carers of older Aboriginal people living in the Kimberley region of remote Western Australia: empowerment, depression, and Carer burden. J Appl Gerontol. 2020;40(7):693–702. https://doi.org/10.1177/0733464819898667.

    Article  PubMed  Google Scholar 

  46. Nishita C, Cardazone G, Uehara DL, Tom T. Empowered diabetes management: life coaching and pharmacist counseling for employed adults with diabetes. Health Educ Behav. 2013;40(5):581–91.

    PubMed  Google Scholar 

  47. Yamada S, Suzuki K. Application of empowerment scale to patients with schizophrenia: Japanese experience. Psychiatry Clin Neurosci. 2007;61(6):594–601.

    PubMed  Google Scholar 

  48. Castelein S, van der Gaag M, Bruggeman R, van Busschbach JT, Wiersma D. Measuring empowerment among people with psychotic disorders: a comparison of three instruments. Psychiatr Serv. 2008;59(11):1338–42.

    PubMed  Google Scholar 

  49. Bovill M, Bar-Zeev Y, Bonevski B, Reath J, Oldmeadow C, Hall A, et al. Ngaa-bi-nya-nhumi-nya (to Test First): Piloting the Feasibility of Using the Growth and Empowerment Measure with Aboriginal Pregnant Women Who Smoke. J Smok Cessat. 2021;2021:6610500.

    PubMed  PubMed Central  Google Scholar 

  50. Berry SL, Crowe TP, Deane FP, Billingham M, Bhagerutty Y. Growth and empowerment for indigenous Australians in substance abuse treatment. Int J Ment Heal Addict. 2012;10(6):970–83.

    Google Scholar 

  51. Schmidt S, Bullinger M. Current issues in cross-cultural quality of life instrument development. Arch Phys Med Rehabil. 2003;84:S29–34.

    PubMed  Google Scholar 

  52. Terwee CB, Bot SD, de Boer MR, van der Windt DA, Knol DL, Dekker J, et al. Quality criteria were proposed for measurement properties of health status questionnaires. J Clin Epidemiol. 2007;60(1):34–42.

    PubMed  Google Scholar 

  53. Lohr KN. Assessing health status and quality-of-life instruments: attributes and review criteria. Qual Life Res. 2002;11(3):193–205.

    PubMed  Google Scholar 

  54. Fitzpatrick SA, Haswell MR, Williams MM, Nathan S, Meyer L, Ritchie JE, et al. Learning about Aboriginal health and wellbeing at the postgraduate level: novel application of the growth and empowerment measure. Rural Remote Health. 2019;19(2):4708.

    PubMed  Google Scholar 

  55. Newton D, Day A, Gillies C, Fernandez E. A review of evidence-based evaluation of measures for assessing social and emotional well-being in indigenous Australians. Aust Psychol. 2015;50(1):40–50.

    Google Scholar 

  56. Boateng GO, Neilands TB, Frongillo EA, Melgar-Quiñonez HR, Young SL. Best practices for developing and validating scales for health, social, and behavioral research: a primer. Front Public Health. 2018;6:149.

    PubMed  PubMed Central  Google Scholar 

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Acknowledgements

The authors would like to acknowledge the Australian Nurse-Family Partnership Program teams who deliver the program across 13 sites working with women and communities.

Funding

This systematic literature review was supported by the Australian Nurse-Family Partnership Program National Support Service funded by the Australian Department of Health.

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Authors and Affiliations

  1. College of Nursing & Midwifery, Charles Darwin University, Brisbane, Queensland, Australia

    Sandy Campbell, Jing-Yu Tan, Mursal Azami & Kym Cunningham

  2. College of Nursing & Midwifery, Charles Darwin University, Melbourne, Victoria, Australia

    Jianxia Zhai

  3. College of Nursing & Midwifery, Charles Darwin University, Alice Springs, Northern Territory, Australia

    Sue Kruske

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  1. Sandy Campbell
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  2. Jianxia Zhai
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Contributions

SK, SC JT, KC and MA conceived the study concept and design. JZ conducted the literature searches and conducted initial screening of papers. JZ and SC screened, reviewed and extracted data from papers and prepared the manuscript. All authors reviewed draft versions of the paper and critically revised them for intellectual content and gave final approval of the published version.

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Correspondence to Sandy Campbell.

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Campbell, S., Zhai, J., Tan, JY. et al. Assessment tools measuring health-related empowerment in psychosocially vulnerable populations: a systematic review. Int J Equity Health 20, 246 (2021). https://doi.org/10.1186/s12939-021-01585-1

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  • DOI: https://doi.org/10.1186/s12939-021-01585-1

Keywords

  • Empowerment
  • Tools
  • Psychometric properties
  • Vulnerable populations
  • Systematic review

International Journal for Equity in Health

ISSN: 1475-9276

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