Identifying disrespect and abuse in organisational culture: a study of two hospitals in Mumbai, India.
Neha MadhiwallaRakhi GhoshalPadmaja MavaniNobhojit RoyPublished in: Reproductive health matters (2018)
This paper draws on findings from a qualitative study of two government hospitals in Mumbai, India, which aimed to provide a better understanding of the institutional drivers of disrespect and abuse (D&A) in childbirth. The paper describes the structural context, in which government hospital providers can exercise considerable power over patients, yet may be themselves vulnerable to violence and external influence. Decisions that affect care are made by a bureaucracy, which does not perceive problems with the same intensity as providers who are directly attending to patients. Within this context, while contrasting organisational cultures had evolved at the two hospitals, both were characterised by social/professional inequality and hierarchical functioning, and marginalising women. This context generates invisible pressures on subordinate staff, and creates interpersonal conflicts and ambiguity in the division of roles and responsibilities that manifest in individual actions of D&A. Services are organised around the internal logic of the institution, rather than being centred on women. This results in conditions that violate women's privacy, and disregards their choice and consent. The structural environment of resource constraints, poor management and bureaucratic decision-making leads to precarious situations, endangering women's safety. With the institution's functioning based on hierarchies and authority, rather than adherence to universal standards or established protocols, irrational, harmful practices endorsed by senior staff are institutionalised and reproduced. A deeper focus on organisational culture, embedded in the discourse of D&A, would help to evolve effective strategies to address D&A as systemic problems.
Keyphrases
- healthcare
- mental health
- polycystic ovary syndrome
- end stage renal disease
- ejection fraction
- newly diagnosed
- decision making
- chronic kidney disease
- pregnancy outcomes
- peritoneal dialysis
- high intensity
- emergency department
- cervical cancer screening
- quality improvement
- deep learning
- skeletal muscle
- breast cancer risk
- pain management
- metabolic syndrome
- health insurance
- adipose tissue
- adverse drug