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      Understanding maternity care providers’ use of data in Southern Tanzania

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          Abstract

          Introduction

          Health information management system data is collected for national planning and evaluation but is rarely used for healthcare improvements at subnational or facility-level in low-and-middle-income countries. Research suggests that perceived data quality and lack of feedback are contributing factors. We aimed to understand maternity care providers’ perceptions of data and how they use it, with a view to co-design interventions to improve data quality and use.

          Methods

          We based our research on constructivist grounded theory. We conducted 14 in-depth interviews, two focus group discussions with maternity care providers and 48 hours of observations in maternity wards to understand maternity providers’ interaction with data in two rural hospitals in Southern Tanzania. Constant comparative data analysis was applied to develop initial and focused codes, subcategories and categories were continuously validated through peer and member checks.

          Results

          Maternity care providers found routine health information data of little use to reconcile demands from managers, the community and their challenging working environment within their daily work. They thus added informal narrative documentation sources. They created alternative narratives through data of a maternity care where mothers and babies were safeguarded. The resulting documentation system, however, led to duplication and increased systemic complexity.

          Conclusions

          Current health information systems may not meet all data demands of maternity care providers, or other healthcare workers. Policy makers and health information system specialists need to acknowledge different ways of data use beyond health service planning, with an emphasis on healthcare providers’ data needs for clinical documentation.

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          Most cited references54

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          Constructing Grounded Theory

          <p>Lecturers, request your electronic inspection copy<br> <br> Kathy Charmaz presents the definitive guide to doing grounded theory from a constructivist perspective. This second edition of her groundbreaking text retains the accessibility and warmth of the first edition whilst introducing cutting edge examples and practical tips.<br> <br> This expanded second edition:<br> <br> - explores how to effectively focus on data collection<br> <br> - demonstrates how to use data for theorizing<br> <br> - adds two new chapters that guide you through conducting and analysing interviews in grounded theory <br> <br> - adds a new chapter on symbolic interactionism and grounded theory<br> <br> - considers recent epistemological debates about the place of prior theory<br> <br> - discusses the legacy of Anselm Strauss for grounded theory.</p> <p>This is a seminal title for anyone serious about understanding and doing grounded theory research. </p>
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            Member Checking

            The trustworthiness of results is the bedrock of high quality qualitative research. Member checking, also known as participant or respondent validation, is a technique for exploring the credibility of results. Data or results are returned to participants to check for accuracy and resonance with their experiences. Member checking is often mentioned as one in a list of validation techniques. This simplistic reporting might not acknowledge the value of using the method, nor its juxtaposition with the interpretative stance of qualitative research. In this commentary, we critique how member checking has been used in published research, before describing and evaluating an innovative in-depth member checking technique, Synthesized Member Checking. The method was used in a study with patients diagnosed with melanoma. Synthesized Member Checking addresses the co-constructed nature of knowledge by providing participants with the opportunity to engage with, and add to, interview and interpreted data, several months after their semi-structured interview.
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              Qualitative research: standards, challenges, and guidelines.

              K Malterud (2001)
              Qualitative research methods could help us to improve our understanding of medicine. Rather than thinking of qualitative and quantitative strategies as incompatible, they should be seen as complementary. Although procedures for textual interpretation differ from those of statistical analysis, because of the different type of data used and questions to be answered, the underlying principles are much the same. In this article I propose relevance, validity, and reflexivity as overall standards for qualitative inquiry. I will discuss the specific challenges in relation to reflexivity, transferability, and shared assumptions of interpretation, which are met by medical researchers who do this type of research, and I will propose guidelines for qualitative inquiry.
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                Author and article information

                Journal
                BMJ Glob Health
                BMJ Glob Health
                bmjgh
                bmjgh
                BMJ Global Health
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2059-7908
                2023
                6 January 2023
                : 8
                : 1
                : e010937
                Affiliations
                [1 ]departmentDepartment of Global Public Health , Karolinska Institutet , Stockholm, Sweden
                [2 ]departmentObstetrics/Gynaecology , Muhimbili University of Health and Allied Sciences , Dar es Salaam, United Republic of Tanzania
                [3 ]departmentDepartment of Obstetrics and Gynaecology , Aga Khan University , Dar es Salaam, United Republic of Tanzania
                [4 ]departmentHealth Systems, Policy and Economic Evaluations , Ifakara Health Institute , Dar es Salaam, United Republic of Tanzania
                [5 ]departmentDept of Disease Control , London School of Hygiene and Tropical Medicine Faculty of Infectious and Tropical Diseases , London, UK
                Author notes
                [Correspondence to ] Regine Unkels; regine.unkels@ 123456ki.se
                Author information
                http://orcid.org/0000-0001-6348-1620
                http://orcid.org/0000-0003-2416-6876
                http://orcid.org/0000-0001-8066-7873
                Article
                bmjgh-2022-010937
                10.1136/bmjgh-2022-010937
                9827191
                36609348
                c27537df-704e-4200-a381-48a9cd9ad966
                © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

                This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.

                History
                : 10 October 2022
                : 17 December 2022
                Funding
                Funded by: Karolinska Institute;
                Funded by: FundRef http://dx.doi.org/10.13039/501100000780, European Commission;
                Award ID: 847824
                Funded by: European Union (EU);
                Categories
                Original Research
                1506
                Custom metadata
                unlocked

                health services research,maternal health,public health

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