Literature DB >> 33750306

Healthcare professionals' perspective on treatment burden and patient capacity in low-income rural populations: challenges and opportunities.

Ruth Hardman1,2, Stephen Begg3, Evelien Spelten4.   

Abstract

BACKGROUND: The challenges of chronic disease self-management in multimorbidity are well-known. Shippee's Cumulative Complexity Model provides useful insights on burden and capacity factors affecting healthcare engagement and outcomes. This model reflects patient experience, but healthcare providers are reported to have a limited understanding of these concepts. Understanding burden and capacity is important for clinicians, since they can influence these factors both positively and negatively. This study aimed to explore the perspectives of healthcare providers using burden and capacity frameworks previously used only in patient studies.
METHODS: Participants were twelve nursing and allied health providers providing chronic disease self-management support in low-income primary care settings. We used written vignettes, constructed from interviews with multimorbid patients at the same health centres, to explore how clinicians understood burden and capacity. Interviews were recorded and transcribed verbatim. Analysis was by the framework method, using Normalisation Process Theory to explore burden and the Theory of Patient Capacity to explore capacity.
RESULTS: The framework analysis categories fitted the data well. All participants clearly understood capacity and were highly conscious of social (e.g. income, family demands), and psychological (e.g. cognitive, mental health) factors, in influencing engagement with healthcare. Not all clinicians recognised the term 'treatment burden', but the concept that it represented was familiar, with participants relating it both to specific treatment demands and to healthcare system deficiencies. Financial resources, health literacy and mental health were considered to have the biggest impact on capacity. Interaction between these factors and health system barriers (leading to increased burden) was a common and challenging occurrence that clinicians struggled to deal with.
CONCLUSIONS: The ability of health professionals to recognise burden and capacity has been questioned, but participants in this study displayed a level of understanding comparable to the patient literature. Many of the challenges identified were related to health system issues, which participants felt powerless to address. Despite their awareness of burden and capacity, health providers continued to operate within a single-disease model, likely to increase burden. These findings have implications for health system organisation, particularly the need for alternative models of care in multimorbidity.

Entities:  

Keywords:  Healthcare providers; Multimorbidity; Patient capacity; Qualitative research; Self management; Treatment burden

Year:  2021        PMID: 33750306      PMCID: PMC7942213          DOI: 10.1186/s12875-021-01387-y

Source DB:  PubMed          Journal:  BMC Fam Pract        ISSN: 1471-2296            Impact factor:   2.497


  32 in total

1.  Minimally disruptive medicine: the evidence and conceptual progress supporting a new era of healthcare.

Authors:  A M Abu Dabrh; K Gallacher; K R Boehmer; I G Hargraves; F S Mair
Journal:  J R Coll Physicians Edinb       Date:  2015

2.  Understanding patients' experiences of treatment burden in chronic heart failure using normalization process theory.

Authors:  Katie Gallacher; Carl R May; Victor M Montori; Frances S Mair
Journal:  Ann Fam Med       Date:  2011 May-Jun       Impact factor: 5.166

3.  'You say treatment, I say hard work': treatment burden among people with chronic illness and their carers in Australia.

Authors:  Adem Sav; Elizabeth Kendall; Sara S McMillan; Fiona Kelly; Jennifer A Whitty; Michelle A King; Amanda J Wheeler
Journal:  Health Soc Care Community       Date:  2013-05-23

4.  Barriers to self-management and quality-of-life outcomes in seniors with multimorbidities.

Authors:  Elizabeth A Bayliss; Jennifer L Ellis; John F Steiner
Journal:  Ann Fam Med       Date:  2007 Sep-Oct       Impact factor: 5.166

5.  Capacity, responsibility, and motivation: a critical qualitative evaluation of patient and practitioner views about barriers to self-management in people with multimorbidity.

Authors:  Peter A Coventry; Louise Fisher; Cassandra Kenning; Penny Bee; Peter Bower
Journal:  BMC Health Serv Res       Date:  2014-10-31       Impact factor: 2.655

Review 6.  Minimally Disruptive Medicine: A Pragmatically Comprehensive Model for Delivering Care to Patients with Multiple Chronic Conditions.

Authors:  Aaron L Leppin; Victor M Montori; Michael R Gionfriddo
Journal:  Healthcare (Basel)       Date:  2015-01-29

7.  A conceptual model of treatment burden and patient capacity in stroke.

Authors:  Katie I Gallacher; Carl R May; Peter Langhorne; Frances S Mair
Journal:  BMC Fam Pract       Date:  2018-01-09       Impact factor: 2.497

8.  Development of a theory of implementation and integration: Normalization Process Theory.

Authors:  Carl R May; Frances Mair; Tracy Finch; Anne MacFarlane; Christopher Dowrick; Shaun Treweek; Tim Rapley; Luciana Ballini; Bie Nio Ong; Anne Rogers; Elizabeth Murray; Glyn Elwyn; France Légaré; Jane Gunn; Victor M Montori
Journal:  Implement Sci       Date:  2009-05-21       Impact factor: 7.327

9.  Understanding the implementation of complex interventions in health care: the normalization process model.

Authors:  Carl May; Tracy Finch; Frances Mair; Luciana Ballini; Christopher Dowrick; Martin Eccles; Linda Gask; Anne MacFarlane; Elizabeth Murray; Tim Rapley; Anne Rogers; Shaun Treweek; Paul Wallace; George Anderson; Jo Burns; Ben Heaven
Journal:  BMC Health Serv Res       Date:  2007-09-19       Impact factor: 2.655

10.  Rethinking the patient: using Burden of Treatment Theory to understand the changing dynamics of illness.

Authors:  Carl R May; David T Eton; Kasey Boehmer; Katie Gallacher; Katherine Hunt; Sara MacDonald; Frances S Mair; Christine M May; Victor M Montori; Alison Richardson; Anne E Rogers; Nathan Shippee
Journal:  BMC Health Serv Res       Date:  2014-06-26       Impact factor: 2.655

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  1 in total

Review 1.  Can the Eight Hop Test Be Measured with Sensors? A Systematic Review.

Authors:  Luís Pimenta; Nuno M Garcia; Eftim Zdravevski; Ivan Chorbev; Vladimir Trajkovik; Petre Lameski; Carlos Albuquerque; Ivan Miguel Pires
Journal:  Sensors (Basel)       Date:  2022-05-08       Impact factor: 3.847

  1 in total

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