Skip to main content
Key Specialties
Cardiology Diabetology Endocrinology Gastroenterology Geriatrics and Gerontology Gynecology and Obstetrics Hematology Infectious Disease Internal Medicine Nephrology Neurology Oncology Pediatrics Respiratory Medicine Rheumatology Surgery
Congress Coverage
2024 ACC Congress 2023 ESMO Congress 2023 EASD Congress 2023 ERS Congress 2023 ESC Congress
Clinical Collections
Advances in Alzheimer’s

Keynote webinar | Spotlight on medication adherence

LIVE: Thursday 27th June 2024, 18:00-19:30 (CEST)
Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.
ADVANCED SEARCH
Log in
Top
Social Psychiatry and Psychiatric Epidemiology
Published in: Social Psychiatry and Psychiatric Epidemiology 5/2015

01-05-2015 | Original Paper

Development and evaluation of the INSPIRE measure of staff support for personal recovery

Authors: Julie Williams, Mary Leamy, Victoria Bird, Clair Le Boutillier, Sam Norton, Francesca Pesola, Mike Slade

Published in: Social Psychiatry and Psychiatric Epidemiology | Issue 5/2015

Login to get access

Abstract

Background

No individualised standardised measure of staff support for mental health recovery exists.

Aims

To develop and evaluate a measure of staff support for recovery.

Method

Development: initial draft of measure based on systematic review of recovery processes; consultation (n = 61); and piloting (n = 20). Psychometric evaluation: three rounds of data collection from mental health service users (n = 92).

Results

INSPIRE has two sub-scales. The 20-item Support sub-scale has convergent validity (0.60) and adequate sensitivity to change. Exploratory factor analysis (variance 71.4–85.1 %, Kaiser-Meyer-Olkin 0.65–0.78) and internal consistency (range 0.82–0.85) indicate each recovery domain is adequately assessed. The 7-item Relationship sub-scale has convergent validity 0.69, test–retest reliability 0.75, internal consistency 0.89, a one-factor solution (variance 70.5 %, KMO 0.84) and adequate sensitivity to change. A 5-item Brief INSPIRE was also evaluated.

Conclusions

INSPIRE and Brief INSPIRE demonstrate adequate psychometric properties, and can be recommended for research and clinical use.
Literature
1.
Anthony W (1993) Recovery from mental illness: the guiding vision of the mental health service system in the 1990s. Psychosoc Rehabil J 16(4):11–23CrossRef
2.
Slade M, Amering M, Oades L (2008) Recovery: an international perspective. Epidemiol Psichiatr Soc 17(2):10CrossRef
3.
Australian Health Ministers (2009) Fourth national mental health plan: an agenda for collaborative government action in mental health 2009–2014. Commonwealth of Australia, Canberra
4.
Department of Health (2011) No health without mental health: a cross-government mental health outcomes strategy for people of all ages. Department of Health, London
5.
Higgins A (2008) A recovery approach within the Irish Mental Health Services. A framework for development. Mental Health Commission, Dublin
6.
Lester H, Gask L (2006) Delivering medical care for patients with serious mental illness or promoting a collaborative model of recovery. Br J Psychiatry 188:2CrossRef
7.
Killaspy H et al (2012) Psychometric properties of the Mental Health Recovery Star. Br J Psychiatry 201(1):6CrossRef
8.
Williams J et al (2012) Measures of the recovery orientation of services: systematic review. Soc Psychiatry Psychiatr Epidemiol 47:1827–1835CrossRefPubMed
9.
Borg M, Kristiansen K (2004) Recovery-oriented professionals: helping relationships in mental health services. J Ment Health 13(5):13CrossRef
10.
Mancini M, Hardiman E, Lawson HA (2005) Making sense of it all: consumer providers’ theories about factors facilitating and impeding recovery from psychiatric disabilities. Psychiatr Rehabil J 29(1):8
11.
Turton P et al (2011) One size fits all: or horses for courses? Recovery-based care in specialist mental health services. Soc Psychiatry Psychiatr Epidemiol 46:10CrossRef
12.
Bellack A (2006) Scientific and consumer models of recovery in schizophrenia: concordance, contrasts, and implications. Schizophr Bull 32(3):11
13.
Roberts G, Wolfson P (2004) The rediscovery of recovery: open to all. Adv Psychiatr Treat 10:13CrossRef
14.
Slade M, Thornicroft G, Glover G (1999) The feasibility of routine outcome measures in mental health. Soc Psychiatry Psychiatr Epidemiol 34:243–249CrossRefPubMed
15.
Leamy M et al (2011) A conceptual framework for personal recovery in mental health: systematic review and narrative synthesis. Br J Psychiatry 199:8CrossRef
16.
Le Boutillier C et al (2011) What does recovery mean in practice? A qualitative analysis of international recovery-oriented practice guidance. Psychiatr Serv 62:7CrossRef
17.
Slade M (2010) Measuring recovery in mental health services. Isr J Psychiatry Relat Sci 47(3):206–212PubMed
18.
Crawford MJ et al (2011) Selecting outcome measures in mental health: the views of service users. J Ment Health 20(4):336–346CrossRefPubMed
19.
Slade M et al (2010) The contribution of advisory committees to large studies: case study. BMC Health Serv Res 10:1–9CrossRef
20.
Russinova Z, Rogers E, Langer Ellison M (2006) Recovery-Promoting Relationships Scale: RPRS manual. Center for Psychiatric Rehabilitation: Boston University, Boston
21.
Nabati L et al (1998) Adaptation of a simple patient satisfaction instrument to mental health: psychometric properties. Psychiatry Res 77:51–56CrossRefPubMed
22.
Lorenzo-Seva U, Ferrando P (2006) FACTOR: a computer program to fit the exploratory factor analysis model. Behav Res Methods 38(1):4CrossRef
23.
Hurley A et al (1997) Exploratory and confirmatory factor analysis: guidelines, issues, and alternatives. J Organ Behav 18:7CrossRef
24.
Timmerman M, Lorenzo-Seva U (2011) Dimensionality assessment of ordered polytomous items with parallel analysis. Psychol Methods 16(2):209–220CrossRefPubMed
25.
Nunnally J (1978) Psychometric theory. McGraw-Hill, New York
26.
Turner H III, Bernard R (2006) Calculating and synthesizing effect sizes. Contemp Issues Commun Sci Disord 33:14
27.
Langan J, Lindow V (2004) Mental health service users and their involvement in risk assessment and management. Joseph Rowntree Foundation, Bristol
28.
Boyer L et al (2013) Evaluating the impact of a quality of life assessment with feedback to clinicians in patients with schizophrenia: randomised controlled trial. Br J Psychiatry 202:7CrossRef
29.
Trujols J et al (2013) Patient-reported outcomes measures: are they patient-generated, patient-centred or patient-valued? J Ment Health 22(6):8CrossRef
30.
Denhov A, Topor A (2011) The components of helping relationships with professionals in psychiatry: users’ perspective. Int J Soc Psychiatry 58(4):8
31.
Shattell M, Starr S, Thomas S (2007) ’Take my hand, help me out’: mental health service recipients’ experience of the therapeutic relationship. Int J Ment Health Nurs 16:11CrossRef
32.
Happell B (2008) Determining the effectiveness of mental health services from a consumer perspective: part 1: enhancing recovery. Int J Ment Health Nurs 17:7
33.
Topor A et al (2006) Others: the role of family, friends, and professionals in the recovery process. Am J Psychiatr Rehabil 9:21CrossRef
34.
Bird V et al (2014) Fit for purpose? Validation of a conceptual framework for personal recovery with current mental health consumers. Aust NZJ Psychiatry 48(7):644–653CrossRef
35.
36.
Tondora J et al (2014) Partnering for recovery in mental health: a practical guide to person-centered planning. Wiley, ChichesterCrossRef
37.
Knaup C et al (2009) Effect of feedback of treatment outcome in specialist mental healthcare: meta-analysis. Br J Psychiatry 195(1):8CrossRef
38.
Slade M et al (2011) REFOCUS Trial: protocol for a cluster randomised controlled trial of a pro-recovery intervention within community based mental health teams. BMC Psychiatry 11:1–13CrossRef
39.
NHS Confederation Mental Health Network (2012) Supporting recovery on mental health. NHS Confederation, London
Metadata
Title
Development and evaluation of the INSPIRE measure of staff support for personal recovery
Authors
Julie Williams
Mary Leamy
Victoria Bird
Clair Le Boutillier
Sam Norton
Francesca Pesola
Mike Slade
Publication date
01-05-2015
Publisher
Springer Berlin Heidelberg
Published in
Social Psychiatry and Psychiatric Epidemiology / Issue 5/2015
Print ISSN: 0933-7954
Electronic ISSN: 1433-9285
DOI
https://doi.org/10.1007/s00127-014-0983-0

Other articles of this Issue 5/2015

Social Psychiatry and Psychiatric Epidemiology 5/2015 Go to the issue

Original Paper

Making assessment locally relevant: measuring functioning for maternal depression in Khayelitsha, Cape Town

Original Paper

Personality disorders and physical comorbidities in adults from the United States: data from the National Epidemiologic Survey on Alcohol and Related Conditions

Original Paper

Nonmedical prescription drug use among US young adults by educational attainment

Original Paper

Measuring the economic costs of discrimination experienced by people with mental health problems: development of the Costs of Discrimination Assessment (CODA)

Original Paper

Preventing brain disorders: a framework for action

Commentary (Invited)

Sub-threshold mental illness in adolescents: within and beyond DSM’s boundaries