Abstract
Aims and objectives. This study develops an original method of qualitative analysis coherent with its interpretivist principles. The objective is to increase the likelihood of achieving generalisability and so improve the chance of the findings being translated into practice.
Background. Good qualitative research depends on coherent analysis of different types of data. The limitations of existing methodologies are first discussed to justify the need for a novel approach. To illustrate this approach, primary evidence is presented using the new methodology. The primary evidence consists of a constructivist grounded theory of how mental health nurses with prescribing authority integrate prescribing into practice. This theory is built concurrently from interviews, reflective accounts and case study data from the literature.
Design. Concurrent analysis.
Method. Ten research articles and 13 semi-structured interviews were sampled purposively and then theoretically and analysed concurrently using constructivist grounded theory.
Results. A theory of the process of becoming competent in mental health nurse prescribing was generated through this process. This theory was validated by 32 practising mental health nurse prescribers as an accurate representation of their experience.
Conclusions. The methodology generated a coherent and generalisable theory. It is therefore claimed that concurrent analysis engenders consistent and iterative treatment of different sources of qualitative data in a manageable manner. This process supports facilitation of the highest standard of qualitative research.
Relevance to clinical practice. Concurrent analysis removes the artificial delineation of relevant literature from other forms of constructed data. This gives researchers clear direction to treat qualitative data consistently raising the chances of generalisability of the findings. Raising the generalisability of qualitative research will increase its chances of informing clinical practice.
Background. Good qualitative research depends on coherent analysis of different types of data. The limitations of existing methodologies are first discussed to justify the need for a novel approach. To illustrate this approach, primary evidence is presented using the new methodology. The primary evidence consists of a constructivist grounded theory of how mental health nurses with prescribing authority integrate prescribing into practice. This theory is built concurrently from interviews, reflective accounts and case study data from the literature.
Design. Concurrent analysis.
Method. Ten research articles and 13 semi-structured interviews were sampled purposively and then theoretically and analysed concurrently using constructivist grounded theory.
Results. A theory of the process of becoming competent in mental health nurse prescribing was generated through this process. This theory was validated by 32 practising mental health nurse prescribers as an accurate representation of their experience.
Conclusions. The methodology generated a coherent and generalisable theory. It is therefore claimed that concurrent analysis engenders consistent and iterative treatment of different sources of qualitative data in a manageable manner. This process supports facilitation of the highest standard of qualitative research.
Relevance to clinical practice. Concurrent analysis removes the artificial delineation of relevant literature from other forms of constructed data. This gives researchers clear direction to treat qualitative data consistently raising the chances of generalisability of the findings. Raising the generalisability of qualitative research will increase its chances of informing clinical practice.
| Original language | English |
|---|---|
| Pages (from-to) | 2868-2877 |
| Journal | Journal of Clinical Nursing |
| Volume | 20 |
| Issue number | 19-20 |
| DOIs | |
| Publication status | Published - Oct 2011 |
Keywords
- concurrent analysis
- generalisability
- grounded theory
- mental health
- nurse prescribing
